---
_id: '50066'
author:
- first_name: Feng
full_name: Dou, Feng
last_name: Dou
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
- first_name: Shutong
full_name: Chen, Shutong
last_name: Chen
- first_name: Fangming
full_name: Liu, Fangming
last_name: Liu
citation:
ama: 'Dou F, Wang L, Chen S, Liu F. X-Stream: A Flexible, Adaptive Video Transformer
for Privacy-Preserving Video Stream Analytics. In: Proceedings of the IEEE
International Conference on Computer Communications (INFOCOM). IEEE.'
apa: 'Dou, F., Wang, L., Chen, S., & Liu, F. (n.d.). X-Stream: A Flexible, Adaptive
Video Transformer for Privacy-Preserving Video Stream Analytics. Proceedings
of the IEEE International Conference on Computer Communications (INFOCOM).
IEEE International Conference on Computer Communications (INFOCOM), Vancouver,
Canada.'
bibtex: '@inproceedings{Dou_Wang_Chen_Liu, title={X-Stream: A Flexible, Adaptive
Video Transformer for Privacy-Preserving Video Stream Analytics}, booktitle={Proceedings
of the IEEE International Conference on Computer Communications (INFOCOM)}, publisher={IEEE},
author={Dou, Feng and Wang, Lin and Chen, Shutong and Liu, Fangming} }'
chicago: 'Dou, Feng, Lin Wang, Shutong Chen, and Fangming Liu. “X-Stream: A Flexible,
Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics.” In
Proceedings of the IEEE International Conference on Computer Communications
(INFOCOM). IEEE, n.d.'
ieee: 'F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video
Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE
International Conference on Computer Communications (INFOCOM), Vancouver, Canada.'
mla: 'Dou, Feng, et al. “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving
Video Stream Analytics.” Proceedings of the IEEE International Conference on
Computer Communications (INFOCOM), IEEE.'
short: 'F. Dou, L. Wang, S. Chen, F. Liu, in: Proceedings of the IEEE International
Conference on Computer Communications (INFOCOM), IEEE, n.d.'
conference:
end_date: 2024-05-23
location: Vancouver, Canada
name: IEEE International Conference on Computer Communications (INFOCOM)
start_date: 2024-05-20
date_created: 2023-12-22T20:24:27Z
date_updated: 2024-01-23T20:35:02Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
language:
- iso: eng
publication: Proceedings of the IEEE International Conference on Computer Communications
(INFOCOM)
publication_status: accepted
publisher: IEEE
status: public
title: 'X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video
Stream Analytics'
type: conference
user_id: '102868'
year: '2024'
...
---
_id: '50065'
author:
- first_name: Marcel
full_name: Blöcher, Marcel
last_name: Blöcher
- first_name: Nils
full_name: Nedderhut, Nils
last_name: Nedderhut
- first_name: Pavel
full_name: Chuprikov, Pavel
last_name: Chuprikov
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Patrick
full_name: Eugster, Patrick
last_name: Eugster
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
citation:
ama: 'Blöcher M, Nedderhut N, Chuprikov P, Khalili R, Eugster P, Wang L. Train Once
Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES.
In: Proceedings of the IEEE International Conference on Computer Communications
(INFOCOM). IEEE.'
apa: 'Blöcher, M., Nedderhut, N., Chuprikov, P., Khalili, R., Eugster, P., &
Wang, L. (n.d.). Train Once Apply Anywhere: Effective Scheduling for Network Function
Chains Running on FUMES. Proceedings of the IEEE International Conference on
Computer Communications (INFOCOM). IEEE International Conference on Computer
Communications (INFOCOM), Vancouver, Canada.'
bibtex: '@inproceedings{Blöcher_Nedderhut_Chuprikov_Khalili_Eugster_Wang, title={Train
Once Apply Anywhere: Effective Scheduling for Network Function Chains Running
on FUMES}, booktitle={Proceedings of the IEEE International Conference on Computer
Communications (INFOCOM)}, publisher={IEEE}, author={Blöcher, Marcel and Nedderhut,
Nils and Chuprikov, Pavel and Khalili, Ramin and Eugster, Patrick and Wang, Lin}
}'
chicago: 'Blöcher, Marcel, Nils Nedderhut, Pavel Chuprikov, Ramin Khalili, Patrick
Eugster, and Lin Wang. “Train Once Apply Anywhere: Effective Scheduling for Network
Function Chains Running on FUMES.” In Proceedings of the IEEE International
Conference on Computer Communications (INFOCOM). IEEE, n.d.'
ieee: 'M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang,
“Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running
on FUMES,” presented at the IEEE International Conference on Computer Communications
(INFOCOM), Vancouver, Canada.'
mla: 'Blöcher, Marcel, et al. “Train Once Apply Anywhere: Effective Scheduling for
Network Function Chains Running on FUMES.” Proceedings of the IEEE International
Conference on Computer Communications (INFOCOM), IEEE.'
short: 'M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, L. Wang,
in: Proceedings of the IEEE International Conference on Computer Communications
(INFOCOM), IEEE, n.d.'
conference:
end_date: 2024-05-23
location: Vancouver, Canada
name: IEEE International Conference on Computer Communications (INFOCOM)
start_date: 2024-05-20
date_created: 2023-12-22T20:06:42Z
date_updated: 2024-01-23T20:35:09Z
department:
- _id: '75'
language:
- iso: eng
publication: Proceedings of the IEEE International Conference on Computer Communications
(INFOCOM)
publication_status: accepted
publisher: IEEE
status: public
title: 'Train Once Apply Anywhere: Effective Scheduling for Network Function Chains
Running on FUMES'
type: conference
user_id: '102868'
year: '2024'
...
---
_id: '50807'
author:
- first_name: Haichuan
full_name: Hu, Haichuan
last_name: Hu
- first_name: Fangming
full_name: Liu, Fangming
last_name: Liu
- first_name: Qiangyu
full_name: Pei, Qiangyu
last_name: Pei
- first_name: Yongjie
full_name: Yuan, Yongjie
last_name: Yuan
- first_name: Zichen
full_name: Xu, Zichen
last_name: Xu
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
citation:
ama: "Hu H, Liu F, Pei Q, Yuan Y, Xu Z, Wang L. \U0001D706Grapher: A Resource-Efficient
Serverless System for GNN Serving through Graph Sharing. In: Proceedings of
the ACM Web Conference (WWW). ACM; 2024."
apa: "Hu, H., Liu, F., Pei, Q., Yuan, Y., Xu, Z., & Wang, L. (2024). \U0001D706Grapher:
A Resource-Efficient Serverless System for GNN Serving through Graph Sharing.
Proceedings of the ACM Web Conference (WWW). ACM Web Conference (WWW),
Singapore."
bibtex: "@inproceedings{Hu_Liu_Pei_Yuan_Xu_Wang_2024, title={\U0001D706Grapher:
A Resource-Efficient Serverless System for GNN Serving through Graph Sharing},
booktitle={Proceedings of the ACM Web Conference (WWW)}, publisher={ACM}, author={Hu,
Haichuan and Liu, Fangming and Pei, Qiangyu and Yuan, Yongjie and Xu, Zichen and
Wang, Lin}, year={2024} }"
chicago: "Hu, Haichuan, Fangming Liu, Qiangyu Pei, Yongjie Yuan, Zichen Xu, and
Lin Wang. “\U0001D706Grapher: A Resource-Efficient Serverless System for GNN Serving
through Graph Sharing.” In Proceedings of the ACM Web Conference (WWW).
ACM, 2024."
ieee: "H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “\U0001D706Grapher: A
Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented
at the ACM Web Conference (WWW), Singapore, 2024."
mla: "Hu, Haichuan, et al. “\U0001D706Grapher: A Resource-Efficient Serverless System
for GNN Serving through Graph Sharing.” Proceedings of the ACM Web Conference
(WWW), ACM, 2024."
short: 'H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, L. Wang, in: Proceedings of the ACM
Web Conference (WWW), ACM, 2024.'
conference:
end_date: 2024-05-17
location: Singapore
name: ACM Web Conference (WWW)
start_date: 2024-05-13
date_created: 2024-01-23T20:34:27Z
date_updated: 2024-01-23T20:35:20Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
language:
- iso: eng
publication: Proceedings of the ACM Web Conference (WWW)
publisher: ACM
status: public
title: "\U0001D706Grapher: A Resource-Efficient Serverless System for GNN Serving
through Graph Sharing"
type: conference
user_id: '102868'
year: '2024'
...
---
_id: '53095'
author:
- first_name: Kamran
full_name: Razavi, Kamran
last_name: Razavi
- first_name: Saeid
full_name: Ghafouri, Saeid
last_name: Ghafouri
- first_name: Max
full_name: Mühlhäuser, Max
last_name: Mühlhäuser
- first_name: Pooyan
full_name: Jamshidi, Pooyan
last_name: Jamshidi
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
citation:
ama: 'Razavi K, Ghafouri S, Mühlhäuser M, Jamshidi P, Wang L. Sponge: Inference
Serving with Dynamic SLOs Using In-Place Vertical Scaling. In: Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024. ACM; 2024.'
apa: 'Razavi, K., Ghafouri, S., Mühlhäuser, M., Jamshidi, P., & Wang, L. (2024).
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024. The 4th Workshop on Machine Learning and Systems (EuroMLSys),
colocated with EuroSys 2024, Athens, Greece.'
bibtex: '@inproceedings{Razavi_Ghafouri_Mühlhäuser_Jamshidi_Wang_2024, title={Sponge:
Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling}, booktitle={Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with
EuroSys 2024}, publisher={ACM}, author={Razavi, Kamran and Ghafouri, Saeid and
Mühlhäuser, Max and Jamshidi, Pooyan and Wang, Lin}, year={2024} }'
chicago: 'Razavi, Kamran, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, and Lin
Wang. “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.”
In Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys),
Colocated with EuroSys 2024. ACM, 2024.'
ieee: 'K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge:
Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented
at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated
with EuroSys 2024, Athens, Greece, 2024.'
mla: 'Razavi, Kamran, et al. “Sponge: Inference Serving with Dynamic SLOs Using
In-Place Vertical Scaling.” Proceedings of the 4th Workshop on Machine Learning
and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024.'
short: 'K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, L. Wang, in: Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024, ACM, 2024.'
conference:
end_date: 2024-04-22
location: Athens, Greece
name: The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with
EuroSys 2024
start_date: 2024-04-22
date_created: 2024-03-28T12:00:49Z
date_updated: 2024-03-28T12:02:23Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
language:
- iso: eng
publication: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys),
colocated with EuroSys 2024
publisher: ACM
status: public
title: 'Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling'
type: conference
user_id: '102868'
year: '2024'
...
---
_id: '29672'
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
citation:
ama: 'Schneider SB. Network and Service Coordination: Conventional and Machine
Learning Approaches".; 2022. doi:10.17619/UNIPB/1-1276 '
apa: 'Schneider, S. B. (2022). Network and Service Coordination: Conventional
and Machine Learning Approaches". https://doi.org/10.17619/UNIPB/1-1276 '
bibtex: '@book{Schneider_2022, title={Network and Service Coordination: Conventional
and Machine Learning Approaches"}, DOI={10.17619/UNIPB/1-1276 }, author={Schneider, Stefan Balthasar}, year={2022}
}'
chicago: 'Schneider, Stefan Balthasar. Network and Service Coordination: Conventional
and Machine Learning Approaches", 2022. https://doi.org/10.17619/UNIPB/1-1276 .'
ieee: 'S. B. Schneider, Network and Service Coordination: Conventional and Machine
Learning Approaches". 2022.'
mla: 'Schneider, Stefan Balthasar. Network and Service Coordination: Conventional
and Machine Learning Approaches". 2022, doi:10.17619/UNIPB/1-1276 .'
short: 'S.B. Schneider, Network and Service Coordination: Conventional and Machine
Learning Approaches", 2022.'
date_created: 2022-01-31T07:08:47Z
date_updated: 2022-02-18T08:17:36Z
department:
- _id: '75'
doi: '10.17619/UNIPB/1-1276 '
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
status: public
supervisor:
- first_name: Karl
full_name: Holger, Karl
last_name: Holger
title: 'Network and Service Coordination: Conventional and Machine Learning Approaches"'
type: dissertation
user_id: '15504'
year: '2022'
...
---
_id: '30236'
abstract:
- lang: eng
text: "Recent reinforcement learning approaches for continuous control in wireless
mobile networks have shown impressive\r\nresults. But due to the lack of open
and compatible simulators, authors typically create their own simulation environments
for training and evaluation. This is cumbersome and time-consuming for authors
and limits reproducibility and comparability, ultimately impeding progress in
the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform
for training, evaluating, and comparing reinforcement learning and conventional
approaches for continuous control in mobile wireless networks. mobile-env is lightweight
and implements the common OpenAI Gym interface and additional wrappers, which
allows connecting virtually any single-agent or multi-agent reinforcement learning
framework to the environment. While mobile-env provides sensible default values
and can be used out of the box, it also has many configuration options and is
easy to extend. We therefore believe mobile-env to be a valuable platform for
driving meaningful progress in autonomous coordination of\r\nwireless mobile networks."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Stefan
full_name: Werner, Stefan
last_name: Werner
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform
for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network
Operations and Management Symposium (NOMS). IEEE; 2022.'
apa: 'Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022).
mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.
IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP
Network Operations and Management Symposium (NOMS), Budapest.'
bibtex: '@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env:
An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP
Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl,
Holger}, year={2022} }'
chicago: 'Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker,
and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless
Mobile Networks.” In IEEE/IFIP Network Operations and Management Symposium
(NOMS). IEEE, 2022.'
ieee: 'S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env:
An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented
at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest,
2022.'
mla: 'Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement
Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management
Symposium (NOMS), IEEE, 2022.'
short: 'S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP
Network Operations and Management Symposium (NOMS), IEEE, 2022.'
conference:
end_date: 2022-04-29
location: Budapest
name: IEEE/IFIP Network Operations and Management Symposium (NOMS)
start_date: 2022-04-25
date_created: 2022-03-10T18:28:14Z
date_updated: 2022-03-10T18:28:19Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-03-10T18:25:41Z
date_updated: 2022-03-10T18:25:41Z
file_id: '30237'
file_name: author_version.pdf
file_size: 223412
relation: main_file
file_date_updated: 2022-03-10T18:25:41Z
has_accepted_license: '1'
keyword:
- wireless mobile networks
- network management
- continuous control
- cognitive networks
- autonomous coordination
- reinforcement learning
- gym environment
- simulation
- open source
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
publication: IEEE/IFIP Network Operations and Management Symposium (NOMS)
publisher: IEEE
quality_controlled: '1'
status: public
title: 'mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile
Networks'
type: conference
user_id: '35343'
year: '2022'
...
---
_id: '32811'
abstract:
- lang: eng
text: 'The decentralized nature of multi-agent systems requires continuous data
exchange to achieve global objectives. In such scenarios, Age of Information (AoI)
has become an important metric of the freshness of exchanged data due to the error-proneness
and delays of communication systems. Communication systems usually possess dependencies:
the process describing the success or failure of communication is highly correlated
when these attempts are ``close'''' in some domain (e.g. in time, frequency, space
or code as in wireless communication) and is, in general, non-stationary. To study
AoI in such scenarios, we consider an abstract event-based AoI process $\Delta(n)$,
expressing time since the last update: If, at time $n$, a monitoring node receives
a status update from a source node (event $A(n-1)$ occurs), then $\Delta(n)$ is
reset to one; otherwise, $\Delta(n)$ grows linearly in time. This AoI process
can thus be viewed as a special random walk with resets. The event process $A(n)$
may be nonstationary and we merely assume that its temporal dependencies decay
sufficiently, described by $\alpha$-mixing. We calculate moment bounds for the
resulting AoI process as a function of the mixing rate of $A(n)$. Furthermore,
we prove that the AoI process $\Delta(n)$ is itself $\alpha$-mixing from which
we conclude a strong law of large numbers for $\Delta(n)$. These results are new,
since AoI processes have not been studied so far in this general strongly mixing
setting. This opens up future work on renewal processes with non-independent interarrival
times.'
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Redder A, Ramaswamy A, Karl H. Age of Information Process under Strongly Mixing
Communication -- Moment Bound, Mixing Rate and Strong Law. In: Proceedings
of the 58th Allerton Conference on Communication, Control, and Computing.
; 2022.'
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Age of Information Process
under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law.
Proceedings of the 58th Allerton Conference on Communication, Control, and
Computing. 58th Allerton Conference on Communication, Control, and Computing.
bibtex: '@inproceedings{Redder_Ramaswamy_Karl_2022, title={Age of Information Process
under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law},
booktitle={Proceedings of the 58th Allerton Conference on Communication, Control,
and Computing}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger},
year={2022} }'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Age of Information
Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong
Law.” In Proceedings of the 58th Allerton Conference on Communication, Control,
and Computing, 2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Age of Information Process under Strongly
Mixing Communication -- Moment Bound, Mixing Rate and Strong Law,” presented at
the 58th Allerton Conference on Communication, Control, and Computing, 2022.
mla: Redder, Adrian, et al. “Age of Information Process under Strongly Mixing Communication
-- Moment Bound, Mixing Rate and Strong Law.” Proceedings of the 58th Allerton
Conference on Communication, Control, and Computing, 2022.
short: 'A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference
on Communication, Control, and Computing, 2022.'
conference:
name: 58th Allerton Conference on Communication, Control, and Computing
date_created: 2022-08-15T09:59:17Z
date_updated: 2022-11-18T09:31:19Z
ddc:
- '000'
department:
- _id: '75'
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: Proceedings of the 58th Allerton Conference on Communication, Control,
and Computing
status: public
title: Age of Information Process under Strongly Mixing Communication -- Moment Bound,
Mixing Rate and Strong Law
type: conference
user_id: '477'
year: '2022'
...
---
_id: '30793'
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Redder A, Ramaswamy A, Karl H. Multi-agent Policy Gradient Algorithms for
Cyber-physical Systems with Lossy Communication. In: Proceedings of the 14th
International Conference on Agents and Artificial Intelligence. SCITEPRESS
- Science and Technology Publications; 2022. doi:10.5220/0010845400003116'
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Multi-agent Policy Gradient
Algorithms for Cyber-physical Systems with Lossy Communication. Proceedings
of the 14th International Conference on Agents and Artificial Intelligence.
https://doi.org/10.5220/0010845400003116
bibtex: '@inproceedings{Redder_Ramaswamy_Karl_2022, title={Multi-agent Policy Gradient
Algorithms for Cyber-physical Systems with Lossy Communication}, DOI={10.5220/0010845400003116},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial
Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Redder,
Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Multi-Agent Policy
Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.” In Proceedings
of the 14th International Conference on Agents and Artificial Intelligence.
SCITEPRESS - Science and Technology Publications, 2022. https://doi.org/10.5220/0010845400003116.
ieee: 'A. Redder, A. Ramaswamy, and H. Karl, “Multi-agent Policy Gradient Algorithms
for Cyber-physical Systems with Lossy Communication,” 2022, doi: 10.5220/0010845400003116.'
mla: Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical
Systems with Lossy Communication.” Proceedings of the 14th International Conference
on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology
Publications, 2022, doi:10.5220/0010845400003116.
short: 'A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International
Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology
Publications, 2022.'
date_created: 2022-04-06T07:18:36Z
date_updated: 2022-11-18T09:32:14Z
ddc:
- '006'
department:
- _id: '75'
doi: 10.5220/0010845400003116
file:
- access_level: closed
content_type: application/pdf
creator: aredder
date_created: 2022-08-31T07:10:13Z
date_updated: 2022-08-31T07:10:13Z
file_id: '33237'
file_name: ICCART2022.pdf
file_size: 298926
relation: main_file
success: 1
file_date_updated: 2022-08-31T07:10:13Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '24'
name: 'NICCI-CN: Netzgewahre Regelung & regelungsgewahre Netze'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: Proceedings of the 14th International Conference on Agents and Artificial
Intelligence
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
status: public
title: Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy
Communication
type: conference
user_id: '477'
year: '2022'
...
---
_id: '30790'
abstract:
- lang: eng
text: "Iterative distributed optimization algorithms involve multiple agents that\r\ncommunicate
with each other, over time, in order to minimize/maximize a global\r\nobjective.
In the presence of unreliable communication networks, the\r\nAge-of-Information
(AoI), which measures the freshness of data received, may be\r\nlarge and hence
hinder algorithmic convergence. In this paper, we study the\r\nconvergence of
general distributed gradient-based optimization algorithms in\r\nthe presence
of communication that neither happens periodically nor at\r\nstochastically independent
points in time. We show that convergence is\r\nguaranteed provided the random
variables associated with the AoI processes are\r\nstochastically dominated by
a random variable with finite first moment. This\r\nimproves on previous requirements
of boundedness of more than the first moment.\r\nWe then introduce stochastically
strongly connected (SSC) networks, a new\r\nstochastic form of strong connectedness
for time-varying networks. We show: If\r\nfor any $p \\ge0$ the processes that
describe the success of communication\r\nbetween agents in a SSC network are $\\alpha$-mixing
with $n^{p-1}\\alpha(n)$\r\nsummable, then the associated AoI processes are stochastically
dominated by a\r\nrandom variable with finite $p$-th moment. In combination with
our first\r\ncontribution, this implies that distributed stochastic gradient descend\r\nconverges
in the presence of AoI, if $\\alpha(n)$ is summable."
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the
presence of dependent aperiodic communication. arXiv:220111343. Published
online 2022.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Distributed gradient-based
optimization in the presence of dependent aperiodic communication. In arXiv:2201.11343.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Distributed gradient-based
optimization in the presence of dependent aperiodic communication}, journal={arXiv:2201.11343},
author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022}
}'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based
Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343,
2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization
in the presence of dependent aperiodic communication,” arXiv:2201.11343.
2022.
mla: Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence
of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.
short: A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).
date_created: 2022-04-06T06:53:38Z
date_updated: 2022-11-18T09:33:01Z
department:
- _id: '75'
external_id:
arxiv:
- '2201.11343'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: arXiv:2201.11343
status: public
title: Distributed gradient-based optimization in the presence of dependent aperiodic
communication
type: preprint
user_id: '477'
year: '2022'
...
---
_id: '30791'
abstract:
- lang: eng
text: "We present sufficient conditions that ensure convergence of the multi-agent\r\nDeep
Deterministic Policy Gradient (DDPG) algorithm. It is an example of one of\r\nthe
most popular paradigms of Deep Reinforcement Learning (DeepRL) for tackling\r\ncontinuous
action spaces: the actor-critic paradigm. In the setting considered\r\nherein,
each agent observes a part of the global state space in order to take\r\nlocal
actions, for which it receives local rewards. For every agent, DDPG\r\ntrains
a local actor (policy) and a local critic (Q-function). The analysis\r\nshows
that multi-agent DDPG using neural networks to approximate the local\r\npolicies
and critics converge to limits with the following properties: The\r\ncritic limits
minimize the average squared Bellman loss; the actor limits\r\nparameterize a
policy that maximizes the local critic's approximation of\r\n$Q_i^*$, where $i$
is the agent index. The averaging is with respect to a\r\nprobability distribution
over the global state-action space. It captures the\r\nasymptotics of all local
training processes. Finally, we extend the analysis to\r\na fully decentralized
setting where agents communicate over a wireless network\r\nprone to delays and
losses; a typical scenario in, e.g., robotic applications."
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Asymptotic Convergence of Deep Multi-Agent Actor-Critic
Algorithms. arXiv:220100570. Published online 2022.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Asymptotic Convergence of
Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Asymptotic Convergence of Deep
Multi-Agent Actor-Critic Algorithms}, journal={arXiv:2201.00570}, author={Redder,
Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Asymptotic Convergence
of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent
Actor-Critic Algorithms,” arXiv:2201.00570. 2022.
mla: Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic
Algorithms.” ArXiv:2201.00570, 2022.
short: A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).
date_created: 2022-04-06T06:53:52Z
date_updated: 2022-11-18T09:33:42Z
department:
- _id: '75'
external_id:
arxiv:
- '2201.00570'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: arXiv:2201.00570
status: public
title: Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms
type: preprint
user_id: '477'
year: '2022'
...
---
_id: '32854'
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence
of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Practical Network Conditions
for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13),
133–138.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Practical Network Conditions
for the Convergence of Distributed Optimization}, volume={55}, number={13}, journal={IFAC-PapersOnLine},
publisher={Elsevier}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl,
Holger}, year={2022}, pages={133–138} }'
chicago: 'Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network
Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine
55, no. 13 (2022): 133–138.'
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the
Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no.
13, pp. 133–138, 2022.
mla: Redder, Adrian, et al. “Practical Network Conditions for the Convergence of
Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier,
2022, pp. 133–138.
short: A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.
conference:
name: IFAC Conference on Networked Systems
date_created: 2022-08-16T09:12:55Z
date_updated: 2022-11-18T10:05:14Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: closed
content_type: application/pdf
creator: aredder
date_created: 2022-08-31T07:06:30Z
date_updated: 2022-08-31T07:06:30Z
file_id: '33236'
file_name: NecSys2022____Practical_Conditions_for_Conv.pdf
file_size: 298395
relation: main_file
success: 1
file_date_updated: 2022-08-31T07:06:30Z
has_accepted_license: '1'
intvolume: ' 55'
issue: '13'
language:
- iso: eng
page: 133–138
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: IFAC-PapersOnLine
publisher: Elsevier
status: public
title: Practical Network Conditions for the Convergence of Distributed Optimization
type: journal_article
user_id: '477'
volume: 55
year: '2022'
...
---
_id: '29220'
abstract:
- lang: eng
text: "Modern services often comprise several components, such as chained virtual
network functions, microservices, or\r\nmachine learning functions. Providing
such services requires to decide how often to instantiate each component, where
to place these instances in the network, how to chain them and route traffic through
them. \r\nTo overcome limitations of conventional, hardwired heuristics, deep
reinforcement learning (DRL) approaches for self-learning network and service
management have emerged recently. These model-free DRL approaches are more flexible
but typically learn tabula rasa, i.e., disregard existing understanding of networks,
services, and their coordination. \r\n\r\nInstead, we propose FutureCoord, a novel
model-based AI approach that leverages existing understanding of networks and
services for more efficient and effective coordination without time-intensive
training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic
model. This allows FutureCoord to estimate the impact of future incoming traffic
and effectively optimize long-term effects, taking fluctuating demand and Quality
of Service (QoS) requirements into account. Our extensive evaluation based on
real-world network topologies, services, and traffic traces indicates that FutureCoord
clearly outperforms state-of-the-art model-free and model-based approaches with
up to 51% higher flow success ratios."
author:
- first_name: Stefan
full_name: Werner, Stefan
last_name: Werner
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Werner S, Schneider SB, Karl H. Use What You Know: Network and Service Coordination
Beyond Certainty. In: IEEE/IFIP Network Operations and Management Symposium
(NOMS). IEEE; 2022.'
apa: 'Werner, S., Schneider, S. B., & Karl, H. (2022). Use What You Know: Network
and Service Coordination Beyond Certainty. IEEE/IFIP Network Operations and
Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium
(NOMS), Budapest.'
bibtex: '@inproceedings{Werner_Schneider_Karl_2022, title={Use What You Know: Network
and Service Coordination Beyond Certainty}, booktitle={IEEE/IFIP Network Operations
and Management Symposium (NOMS)}, publisher={IEEE}, author={Werner, Stefan and
Schneider, Stefan Balthasar and Karl, Holger}, year={2022} }'
chicago: 'Werner, Stefan, Stefan Balthasar Schneider, and Holger Karl. “Use What
You Know: Network and Service Coordination Beyond Certainty.” In IEEE/IFIP
Network Operations and Management Symposium (NOMS). IEEE, 2022.'
ieee: 'S. Werner, S. B. Schneider, and H. Karl, “Use What You Know: Network and
Service Coordination Beyond Certainty,” presented at the IEEE/IFIP Network Operations
and Management Symposium (NOMS), Budapest, 2022.'
mla: 'Werner, Stefan, et al. “Use What You Know: Network and Service Coordination
Beyond Certainty.” IEEE/IFIP Network Operations and Management Symposium (NOMS),
IEEE, 2022.'
short: 'S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and
Management Symposium (NOMS), IEEE, 2022.'
conference:
end_date: 2022-04-29
location: Budapest
name: IEEE/IFIP Network Operations and Management Symposium (NOMS)
start_date: 2022-04-25
date_created: 2022-01-11T08:43:26Z
date_updated: 2022-01-11T08:44:04Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-01-11T08:39:57Z
date_updated: 2022-01-11T08:39:57Z
file_id: '29222'
file_name: author_version.pdf
file_size: 528653
relation: main_file
file_date_updated: 2022-01-11T08:39:57Z
has_accepted_license: '1'
keyword:
- network management
- service management
- AI
- Monte Carlo Tree Search
- model-based
- QoS
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
publication: IEEE/IFIP Network Operations and Management Symposium (NOMS)
publisher: IEEE
quality_controlled: '1'
status: public
title: 'Use What You Know: Network and Service Coordination Beyond Certainty'
type: conference
user_id: '35343'
year: '2022'
...
---
_id: '20125'
abstract:
- lang: eng
text: Datacenter applications have different resource requirements from network
and developing flow scheduling heuristics for every workload is practically infeasible.
In this paper, we show that deep reinforcement learning (RL) can be used to efficiently
learn flow scheduling policies for different workloads without manual feature
engineering. Specifically, we present LFS, which learns to optimize a high-level
performance objective, e.g., maximize the number of flow admissions while meeting
the deadlines. The LFS scheduler is trained through deep RL to learn a scheduling
policy on continuous online flow arrivals. The evaluation results show that the
trained LFS scheduler admits 1.05x more flows than the greedy flow scheduling
heuristics under varying network load.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual
Consumer Communications & Networking Conference (CCNC). IEEE Computer
Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514'
apa: 'Hasnain, A., & Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE
18th Annual Consumer Communications & Networking Conference (CCNC). Las
Vegas, USA: IEEE Computer Society. https://doi.org/10.1109/CCNC49032.2021.9369514'
bibtex: '@inproceedings{Hasnain_Karl, title={Learning Flow Scheduling}, DOI={https://doi.org/10.1109/CCNC49032.2021.9369514},
booktitle={2021 IEEE 18th Annual Consumer Communications & Networking Conference
(CCNC)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger}
}'
chicago: Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” In 2021
IEEE 18th Annual Consumer Communications & Networking Conference (CCNC).
IEEE Computer Society, n.d. https://doi.org/10.1109/CCNC49032.2021.9369514.
ieee: A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual
Consumer Communications & Networking Conference (CCNC), Las Vegas, USA.
mla: Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” 2021 IEEE 18th
Annual Consumer Communications & Networking Conference (CCNC), IEEE Computer
Society, doi:https://doi.org/10.1109/CCNC49032.2021.9369514.
short: 'A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications &
Networking Conference (CCNC), IEEE Computer Society, n.d.'
conference:
end_date: 2021-01-12
location: Las Vegas, USA
name: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
start_date: 2021-01-09
date_created: 2020-10-19T14:27:17Z
date_updated: 2022-01-06T06:54:20Z
ddc:
- '000'
department:
- _id: '75'
doi: https://doi.org/10.1109/CCNC49032.2021.9369514
keyword:
- Flow scheduling
- Deadlines
- Reinforcement learning
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9369514
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '1'
name: SFB 901
publication: 2021 IEEE 18th Annual Consumer Communications & Networking Conference
(CCNC)
publication_status: accepted
publisher: IEEE Computer Society
status: public
title: Learning Flow Scheduling
type: conference
user_id: '63288'
year: '2021'
...
---
_id: '27503'
author:
- first_name: Asif
full_name: Hasnain, Asif
last_name: Hasnain
citation:
ama: Hasnain A. Automating Network Resource Allocation for Coflows with Deadlines.;
2021. doi:10.17619/UNIPB/1-1241
apa: Hasnain, A. (2021). Automating Network Resource Allocation for Coflows with
Deadlines. https://doi.org/10.17619/UNIPB/1-1241
bibtex: '@book{Hasnain_2021, title={Automating Network Resource Allocation for Coflows
with Deadlines}, DOI={10.17619/UNIPB/1-1241
}, author={Hasnain, Asif}, year={2021} }'
chicago: Hasnain, Asif. Automating Network Resource Allocation for Coflows with
Deadlines, 2021. https://doi.org/10.17619/UNIPB/1-1241
.
ieee: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines.
2021.
mla: Hasnain, Asif. Automating Network Resource Allocation for Coflows with Deadlines.
2021, doi:10.17619/UNIPB/1-1241
.
short: A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines,
2021.
date_created: 2021-11-16T13:05:12Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '75'
doi: '10.17619/UNIPB/1-1241 '
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
status: public
supervisor:
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
title: Automating Network Resource Allocation for Coflows with Deadlines
type: dissertation
user_id: '15504'
year: '2021'
...
---
_id: '21005'
abstract:
- lang: eng
text: Data-parallel applications are developed using different data programming
models, e.g., MapReduce, partition/aggregate. These models represent diverse resource
requirements of application in a datacenter network, which can be represented
by the coflow abstraction. The conventional method of creating hand-crafted coflow
heuristics for admission or scheduling for different workloads is practically
infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based
coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level
performance objective, i.e., maximize successful coflow admissions, without manual
feature engineering. LCS is trained on a production trace, which has online coflow
arrivals. The evaluation results show that LCS is able to learn a reasonable admission
policy that admits more coflows than state-of-the-art Varys heuristic while meeting
their deadlines.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 -
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE
Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599'
apa: 'Hasnain, A., & Karl, H. (n.d.). Learning Coflow Admissions. In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Vancouver BC Canada: IEEE Communications Society. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599'
bibtex: '@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={10.1109/INFOCOMWKSHPS51825.2021.9484599},
booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif
and Karl, Holger} }'
chicago: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In IEEE
INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
IEEE Communications Society, n.d. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599.
ieee: A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021
- IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver
BC Canada.
mla: Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” IEEE INFOCOM
2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),
IEEE Communications Society, doi:10.1109/INFOCOMWKSHPS51825.2021.9484599.
short: 'A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer
Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.'
conference:
end_date: 2021-05-13
location: Vancouver BC Canada
name: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
start_date: 2021-05-10
date_created: 2021-01-16T18:24:19Z
date_updated: 2022-01-06T06:54:42Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/INFOCOMWKSHPS51825.2021.9484599
keyword:
- Coflow scheduling
- Reinforcement learning
- Deadlines
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9484599
project:
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
publication: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS)
publication_status: accepted
publisher: IEEE Communications Society
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9484599
status: public
title: Learning Coflow Admissions
type: conference
user_id: '63288'
year: '2021'
...
---
_id: '21543'
abstract:
- lang: eng
text: "Services often consist of multiple chained components such as microservices
in a service mesh, or machine learning functions in a pipeline. Providing these
services requires online coordination including scaling the service, placing instance
of all components in the network, scheduling traffic to these instances, and routing
traffic through the network. Optimized service coordination is still a hard problem
due to many influencing factors such as rapidly arriving user demands and limited
node and link capacity. Existing approaches to solve the problem are often built
on rigid models and assumptions, tailored to specific scenarios. If the scenario
changes and the assumptions no longer hold, they easily break and require manual
adjustments by experts. Novel self-learning approaches using deep reinforcement
learning (DRL) are promising but still have limitations as they only address simplified
versions of the problem and are typically centralized and thus do not scale to
practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed
self-learning service coordination approach using DRL. After centralized training,
we deploy a distributed DRL agent at each node in the network, making fast coordination
decisions locally in parallel with the other nodes. Each agent only observes its
direct neighbors and does not need global knowledge. Hence, our approach scales
independently from the size of the network. In our extensive evaluation using
real-world network topologies and traffic traces, we show that our proposed approach
outperforms a state-of-the-art conventional heuristic as well as a centralized
DRL approach (60% higher throughput on average) while requiring less time per
online decision (1 ms)."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Haydar
full_name: Qarawlus, Haydar
last_name: Qarawlus
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination
Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed
Computing Systems (ICDCS). IEEE; 2021.'
apa: 'Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online
Service Coordination Using Deep Reinforcement Learning. In IEEE International
Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA:
IEEE.'
bibtex: '@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online
Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International
Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }'
chicago: Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed
Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International
Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.
ieee: S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination
Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed
Computing Systems (ICDCS), Washington, DC, USA, 2021.
mla: Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination
Using Deep Reinforcement Learning.” IEEE International Conference on Distributed
Computing Systems (ICDCS), IEEE, 2021.
short: 'S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference
on Distributed Computing Systems (ICDCS), IEEE, 2021.'
conference:
location: Washington, DC, USA
name: IEEE International Conference on Distributed Computing Systems (ICDCS)
date_created: 2021-03-18T17:15:47Z
date_updated: 2022-01-06T06:55:04Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2021-03-18T17:12:56Z
date_updated: 2021-03-18T17:12:56Z
file_id: '21544'
file_name: public_author_version.pdf
file_size: 606321
relation: main_file
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
file_date_updated: 2021-03-18T17:12:56Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- reinforcement learning
- distributed
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE International Conference on Distributed Computing Systems (ICDCS)
publisher: IEEE
related_material:
link:
- relation: software
url: https://github.com/ RealVNF/distributed-drl-coordination
status: public
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
type: conference
user_id: '35343'
year: '2021'
...
---
_id: '20693'
abstract:
- lang: eng
text: "In practical, large-scale networks, services are requested\r\nby users across
the globe, e.g., for video streaming.\r\nServices consist of multiple interconnected
components such as\r\nmicroservices in a service mesh. Coordinating these services\r\nrequires
scaling them according to continuously changing user\r\ndemand, deploying instances
at the edge close to their users,\r\nand routing traffic efficiently between users
and connected instances.\r\nNetwork and service coordination is commonly addressed\r\nthrough
centralized approaches, where a single coordinator\r\nknows everything and coordinates
the entire network globally.\r\nWhile such centralized approaches can reach global
optima, they\r\ndo not scale to large, realistic networks. In contrast, distributed\r\napproaches
scale well, but sacrifice solution quality due to their\r\nlimited scope of knowledge
and coordination decisions.\r\n\r\nTo this end, we propose a hierarchical coordination
approach\r\nthat combines the good solution quality of centralized approaches\r\nwith
the scalability of distributed approaches. In doing so, we divide\r\nthe network
into multiple hierarchical domains and optimize\r\ncoordination in a top-down
manner. We compare our hierarchical\r\nwith a centralized approach in an extensive
evaluation on a real-world\r\nnetwork topology. Our results indicate that hierarchical\r\ncoordination
can find close-to-optimal solutions in a fraction of\r\nthe runtime of centralized
approaches."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Mirko
full_name: Jürgens, Mirko
last_name: Jürgens
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Jürgens M, Karl H. Divide and Conquer: Hierarchical Network
and Service Coordination. In: IFIP/IEEE International Symposium on Integrated
Network Management (IM). IFIP/IEEE; 2021.'
apa: 'Schneider, S. B., Jürgens, M., & Karl, H. (2021). Divide and Conquer:
Hierarchical Network and Service Coordination. In IFIP/IEEE International Symposium
on Integrated Network Management (IM). Bordeaux, France: IFIP/IEEE.'
bibtex: '@inproceedings{Schneider_Jürgens_Karl_2021, title={Divide and Conquer:
Hierarchical Network and Service Coordination}, booktitle={IFIP/IEEE International
Symposium on Integrated Network Management (IM)}, publisher={IFIP/IEEE}, author={Schneider,
Stefan Balthasar and Jürgens, Mirko and Karl, Holger}, year={2021} }'
chicago: 'Schneider, Stefan Balthasar, Mirko Jürgens, and Holger Karl. “Divide and
Conquer: Hierarchical Network and Service Coordination.” In IFIP/IEEE International
Symposium on Integrated Network Management (IM). IFIP/IEEE, 2021.'
ieee: 'S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical
Network and Service Coordination,” in IFIP/IEEE International Symposium on
Integrated Network Management (IM), Bordeaux, France, 2021.'
mla: 'Schneider, Stefan Balthasar, et al. “Divide and Conquer: Hierarchical Network
and Service Coordination.” IFIP/IEEE International Symposium on Integrated
Network Management (IM), IFIP/IEEE, 2021.'
short: 'S.B. Schneider, M. Jürgens, H. Karl, in: IFIP/IEEE International Symposium
on Integrated Network Management (IM), IFIP/IEEE, 2021.'
conference:
location: Bordeaux, France
name: IFIP/IEEE International Symposium on Integrated Network Management (IM)
date_created: 2020-12-11T08:39:47Z
date_updated: 2022-01-06T06:54:32Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-12-11T08:37:37Z
date_updated: 2020-12-11T08:37:37Z
file_id: '20694'
file_name: preprint_with_header.pdf
file_size: 7979772
relation: main_file
title: 'Divide and Conquer: Hierarchical Network and Service Coordination'
file_date_updated: 2020-12-11T08:37:37Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- hierarchical
- scalability
- nfv
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IFIP/IEEE International Symposium on Integrated Network Management (IM)
publisher: IFIP/IEEE
quality_controlled: '1'
status: public
title: 'Divide and Conquer: Hierarchical Network and Service Coordination'
type: conference
user_id: '35343'
year: '2021'
...
---
_id: '21808'
abstract:
- lang: eng
text: "Modern services consist of interconnected components,e.g., microservices
in a service mesh or machine learning functions in a pipeline. These services
can scale and run across multiple network nodes on demand. To process incoming
traffic, service components have to be instantiated and traffic assigned to these
instances, taking capacities, changing demands, and Quality of Service (QoS) requirements
into account. This challenge is usually solved with custom approaches designed
by experts. While this typically works well for the considered scenario, the models
often rely on unrealistic assumptions or on knowledge that is not available in
practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep
reinforcement learning approach that learns how to best coordinate services and
is geared towards realistic assumptions. It interacts with the network and relies
on available, possibly delayed monitoring information. Rather than defining a
complex model or an algorithm on how to achieve an objective, our model-free approach
adapts to various objectives and traffic patterns. An agent is trained offline
without expert knowledge and then applied online with minimal overhead. Compared
to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput
(up to 76%) and overall network utility (more than 2x) on realworld network topologies
and traffic traces. It also supports optimizing multiple, possibly competing objectives,
learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic
traffic, and scales to large real-world networks. For reproducibility and reuse,
our code is publicly available."
article_type: original
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Adnan
full_name: Manzoor, Adnan
last_name: Manzoor
- first_name: Haydar
full_name: Qarawlus, Haydar
last_name: Qarawlus
- first_name: Rafael
full_name: Schellenberg, Rafael
last_name: Schellenberg
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
citation:
ama: Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service
Coordination Using Deep Reinforcement Learning. Transactions on Network and
Service Management. 2021. doi:10.1109/TNSM.2021.3076503
apa: Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R.,
Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination
Using Deep Reinforcement Learning. Transactions on Network and Service Management.
https://doi.org/10.1109/TNSM.2021.3076503
bibtex: '@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021,
title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement
Learning}, DOI={10.1109/TNSM.2021.3076503},
journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and
Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }'
chicago: Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus,
Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective
Service Coordination Using Deep Reinforcement Learning.” Transactions on Network
and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503.
ieee: S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination
Using Deep Reinforcement Learning,” Transactions on Network and Service Management,
2021.
mla: Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service
Coordination Using Deep Reinforcement Learning.” Transactions on Network and
Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503.
short: S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H.
Karl, A. Hecker, Transactions on Network and Service Management (2021).
date_created: 2021-04-27T08:04:16Z
date_updated: 2022-01-06T06:55:15Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/TNSM.2021.3076503
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2021-04-27T08:01:26Z
date_updated: 2021-04-27T08:01:26Z
description: Author version of the accepted paper
file_id: '21809'
file_name: ris-accepted-version.pdf
file_size: 4172270
relation: main_file
file_date_updated: 2021-04-27T08:01:26Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- reinforcement learning
- self-learning
- self-adaptation
- multi-objective
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: Transactions on Network and Service Management
publisher: IEEE
status: public
title: Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement
Learning
type: journal_article
user_id: '35343'
year: '2021'
...
---
_id: '33854'
abstract:
- lang: eng
text: "Macrodiversity is a key technique to increase the capacity of mobile networks.
It can be realized using coordinated multipoint (CoMP), simultaneously connecting
users to multiple overlapping cells. Selecting which users to serve by how many
and which cells is NP-hard but needs to happen continuously in real time as users
move and channel state changes. Existing approaches often require strict assumptions
about or perfect knowledge of the underlying radio system, its resource allocation
scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead,
we propose three novel self-learning and self-adapting approaches using model-free
deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages
central observations and control of all users to select cells almost optimally.
DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and
highly scalable coordination. All three approaches learn from experience and self-adapt
to varying scenarios, reaching 2x higher Quality of Experience than other approaches.
They have very few built-in assumptions and do not need prior system knowledge,
making them more robust to change and better applicable in practice than existing
approaches."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
citation:
ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning.; 2021.'
apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP:
Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.'
bibtex: '@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider,
Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021}
}'
chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker.
DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning,
2021.'
ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.'
mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using
Multi-Agent Deep Reinforcement Learning. 2021.'
short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning, 2021.'
date_created: 2022-10-20T16:44:19Z
date_updated: 2022-11-18T09:59:27Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-10-20T16:41:10Z
date_updated: 2022-10-20T16:41:10Z
file_id: '33855'
file_name: preprint.pdf
file_size: 2521656
relation: main_file
file_date_updated: 2022-10-20T16:41:10Z
has_accepted_license: '1'
keyword:
- mobility management
- coordinated multipoint
- CoMP
- cell selection
- resource management
- reinforcement learning
- multi agent
- MARL
- self-learning
- self-adaptation
- QoE
language:
- iso: eng
oa: '1'
project:
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning'
type: working_paper
user_id: '477'
year: '2021'
...
---
_id: '35889'
abstract:
- lang: eng
text: Network and service coordination is important to provide modern services consisting
of multiple interconnected components, e.g., in 5G, network function virtualization
(NFV), or cloud and edge computing. In this paper, I outline my dissertation research,
which proposes six approaches to automate such network and service coordination.
All approaches dynamically react to the current demand and optimize coordination
for high service quality and low costs. The approaches range from centralized
to distributed methods and from conventional heuristic algorithms and mixed-integer
linear programs to machine learning approaches using supervised and reinforcement
learning. I briefly discuss their main ideas and advantages over other state-of-the-art
approaches and compare strengths and weaknesses.
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
citation:
ama: Schneider SB. Conventional and Machine Learning Approaches for Network and
Service Coordination.; 2021.
apa: Schneider, S. B. (2021). Conventional and Machine Learning Approaches for
Network and Service Coordination.
bibtex: '@book{Schneider_2021, title={Conventional and Machine Learning Approaches
for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021}
}'
chicago: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches
for Network and Service Coordination, 2021.
ieee: S. B. Schneider, Conventional and Machine Learning Approaches for Network
and Service Coordination. 2021.
mla: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches
for Network and Service Coordination. 2021.
short: S.B. Schneider, Conventional and Machine Learning Approaches for Network
and Service Coordination, 2021.
date_created: 2023-01-10T15:08:50Z
date_updated: 2023-01-10T15:09:05Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2023-01-10T15:07:03Z
date_updated: 2023-01-10T15:07:03Z
file_id: '35890'
file_name: main.pdf
file_size: 133340
relation: main_file
file_date_updated: 2023-01-10T15:07:03Z
has_accepted_license: '1'
keyword:
- nfv
- coordination
- machine learning
- reinforcement learning
- phd
- digest
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
status: public
title: Conventional and Machine Learning Approaches for Network and Service Coordination
type: working_paper
user_id: '35343'
year: '2021'
...
---
_id: '19607'
abstract:
- lang: eng
text: "Modern services consist of modular, interconnected\r\ncomponents, e.g., microservices
forming a service mesh. To\r\ndynamically adjust to ever-changing service demands,
service\r\ncomponents have to be instantiated on nodes across the network.\r\nIncoming
flows requesting a service then need to be routed\r\nthrough the deployed instances
while considering node and link\r\ncapacities. Ultimately, the goal is to maximize
the successfully\r\nserved flows and Quality of Service (QoS) through online service\r\ncoordination.
Current approaches for service coordination are\r\nusually centralized, assuming
up-to-date global knowledge and\r\nmaking global decisions for all nodes in the
network. Such global\r\nknowledge and centralized decisions are not realistic
in practical\r\nlarge-scale networks.\r\n\r\nTo solve this problem, we propose
two algorithms for fully\r\ndistributed service coordination. The proposed algorithms
can be\r\nexecuted individually at each node in parallel and require only\r\nvery
limited global knowledge. We compare and evaluate both\r\nalgorithms with a state-of-the-art
centralized approach in extensive\r\nsimulations on a large-scale, real-world
network topology.\r\nOur results indicate that the two algorithms can compete
with\r\ncentralized approaches in terms of solution quality but require\r\nless
global knowledge and are magnitudes faster (more than\r\n100x)."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Lars Dietrich
full_name: Klenner, Lars Dietrich
last_name: Klenner
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed
Service Coordination. In: IEEE International Conference on Network and Service
Management (CNSM). IEEE; 2020.'
apa: 'Schneider, S. B., Klenner, L. D., & Karl, H. (2020). Every Node for Itself:
Fully Distributed Service Coordination. In IEEE International Conference on
Network and Service Management (CNSM). IEEE.'
bibtex: '@inproceedings{Schneider_Klenner_Karl_2020, title={Every Node for Itself:
Fully Distributed Service Coordination}, booktitle={IEEE International Conference
on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Klenner, Lars Dietrich and Karl, Holger}, year={2020} }'
chicago: 'Schneider, Stefan Balthasar, Lars Dietrich Klenner, and Holger Karl. “Every
Node for Itself: Fully Distributed Service Coordination.” In IEEE International
Conference on Network and Service Management (CNSM). IEEE, 2020.'
ieee: 'S. B. Schneider, L. D. Klenner, and H. Karl, “Every Node for Itself: Fully
Distributed Service Coordination,” in IEEE International Conference on Network
and Service Management (CNSM), 2020.'
mla: 'Schneider, Stefan Balthasar, et al. “Every Node for Itself: Fully Distributed
Service Coordination.” IEEE International Conference on Network and Service
Management (CNSM), IEEE, 2020.'
short: 'S.B. Schneider, L.D. Klenner, H. Karl, in: IEEE International Conference
on Network and Service Management (CNSM), IEEE, 2020.'
date_created: 2020-09-22T06:23:40Z
date_updated: 2022-01-06T06:54:08Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-09-22T06:25:57Z
date_updated: 2020-09-22T06:36:25Z
file_id: '19608'
file_name: ris_with_copyright.pdf
file_size: 500948
relation: main_file
file_date_updated: 2020-09-22T06:36:25Z
has_accepted_license: '1'
keyword:
- distributed management
- service coordination
- network coordination
- nfv
- softwarization
- orchestration
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE International Conference on Network and Service Management (CNSM)
publisher: IEEE
status: public
title: 'Every Node for Itself: Fully Distributed Service Coordination'
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '19609'
abstract:
- lang: eng
text: "Modern services comprise interconnected components,\r\ne.g., microservices
in a service mesh, that can scale and\r\nrun on multiple nodes across the network
on demand. To process\r\nincoming traffic, service components have to be instantiated
and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands
into account. This challenge is usually solved with\r\ncustom approaches designed
by experts. While this typically\r\nworks well for the considered scenario, the
models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin
practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement
learning approach that\r\nlearns how to best coordinate services and is geared
towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable,
possibly delayed monitoring information. Rather than\r\ndefining a complex model
or an algorithm how to achieve an\r\nobjective, our model-free approach adapts
to various objectives\r\nand traffic patterns. An agent is trained offline without
expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto
a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and
overall network utility on real-world network\r\ntopologies and traffic traces.
It also learns to optimize different\r\nobjectives, generalizes to scenarios with
unseen, stochastic traffic\r\npatterns, and scales to large real-world networks."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Adnan
full_name: Manzoor, Adnan
last_name: Manzoor
- first_name: Haydar
full_name: Qarawlus, Haydar
last_name: Qarawlus
- first_name: Rafael
full_name: Schellenberg, Rafael
last_name: Schellenberg
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
citation:
ama: 'Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service
Coordination Using Deep Reinforcement Learning. In: IEEE International Conference
on Network and Service Management (CNSM). IEEE; 2020.'
apa: Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili,
R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using
Deep Reinforcement Learning. In IEEE International Conference on Network and
Service Management (CNSM). IEEE.
bibtex: '@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020,
title={Self-Driving Network and Service Coordination Using Deep Reinforcement
Learning}, booktitle={IEEE International Conference on Network and Service Management
(CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan
and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin
and Hecker, Artur}, year={2020} }'
chicago: Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg,
Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service
Coordination Using Deep Reinforcement Learning.” In IEEE International Conference
on Network and Service Management (CNSM). IEEE, 2020.
ieee: S. B. Schneider et al., “Self-Driving Network and Service Coordination
Using Deep Reinforcement Learning,” in IEEE International Conference on Network
and Service Management (CNSM), 2020.
mla: Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination
Using Deep Reinforcement Learning.” IEEE International Conference on Network
and Service Management (CNSM), IEEE, 2020.
short: 'S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili,
A. Hecker, in: IEEE International Conference on Network and Service Management
(CNSM), IEEE, 2020.'
date_created: 2020-09-22T06:28:22Z
date_updated: 2022-01-06T06:54:08Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-09-22T06:29:16Z
date_updated: 2020-09-22T06:36:00Z
file_id: '19610'
file_name: ris_with_copyright.pdf
file_size: 642999
relation: main_file
file_date_updated: 2020-09-22T06:36:00Z
has_accepted_license: '1'
keyword:
- self-driving networks
- self-learning
- network coordination
- service coordination
- reinforcement learning
- deep learning
- nfv
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE International Conference on Network and Service Management (CNSM)
publisher: IEEE
status: public
title: Self-Driving Network and Service Coordination Using Deep Reinforcement Learning
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '17082'
abstract:
- lang: eng
text: Data-parallel applications run on cluster of servers in a datacenter and their
communication triggers correlated resource demand on multiple links that can be
abstracted as coflow. They often desire predictable network performance, which
can be passed to network via coflow abstraction for application-aware network
scheduling. In this paper, we propose a heuristic and an optimization algorithm
for predictable network performance such that they guarantee coflows completion
within their deadlines. The algorithms also ensure high network utilization, i.e.,
it's work-conserving, and avoids starvation of coflows. We evaluate both algorithms
via trace-driven simulation and show that they admit 1.1x more coflows than the
Varys scheme while meeting their deadlines.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data
Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster,
Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010'
apa: 'Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees
for Data Center Applications. In 2020 20th IEEE/ACM International Symposium
on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE
Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010'
bibtex: '@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance
Guarantees for Data Center Applications}, DOI={https://doi.org/10.1109/CCGrid49817.2020.00010},
booktitle={2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)}, publisher={IEEE Computer Society}, author={Hasnain, Asif
and Karl, Holger}, year={2020} }'
chicago: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees
for Data Center Applications.” In 2020 20th IEEE/ACM International Symposium
on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society,
2020. https://doi.org/10.1109/CCGrid49817.2020.00010.
ieee: A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for
Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on
Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020.
mla: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees
for Data Center Applications.” 2020 20th IEEE/ACM International Symposium on
Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020,
doi:https://doi.org/10.1109/CCGrid49817.2020.00010.
short: 'A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster,
Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.'
conference:
location: Melbourne, Australia
name: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)
date_created: 2020-06-06T07:40:45Z
date_updated: 2022-01-06T06:53:04Z
ddc:
- '000'
department:
- _id: '75'
doi: https://doi.org/10.1109/CCGrid49817.2020.00010
keyword:
- Coflow
- Scheduling
- Deadlines
- Data centers
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/9139642
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '1'
name: SFB 901
publication: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)
publication_status: published
publisher: IEEE Computer Society
status: public
title: Coflow Scheduling with Performance Guarantees for Data Center Applications
type: conference
user_id: '63288'
year: '2020'
...
---
_id: '16219'
abstract:
- lang: eng
text: "Network function virtualization (NFV) proposes\r\nto replace physical middleboxes
with more flexible virtual\r\nnetwork functions (VNFs). To dynamically adjust
to everchanging\r\ntraffic demands, VNFs have to be instantiated and\r\ntheir
allocated resources have to be adjusted on demand.\r\nDeciding the amount of allocated
resources is non-trivial.\r\nExisting optimization approaches often assume fixed
resource\r\nrequirements for each VNF instance. However, this can easily\r\nlead
to either waste of resources or bad service quality if too\r\nmany or too few
resources are allocated.\r\n\r\nTo solve this problem, we train machine learning
models\r\non real VNF data, containing measurements of performance\r\nand resource
requirements. For each VNF, the trained models\r\ncan then accurately predict
the required resources to handle\r\na certain traffic load. We integrate these
machine learning\r\nmodels into an algorithm for joint VNF scaling and placement\r\nand
evaluate their impact on resulting VNF placements. Our\r\nevaluation based on
real-world data shows that using suitable\r\nmachine learning models effectively
avoids over- and underallocation\r\nof resources, leading to up to 12 times lower
resource\r\nconsumption and better service quality with up to 4.5 times\r\nlower
total delay than using standard fixed resource allocation."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Narayanan Puthenpurayil
full_name: Satheeschandran, Narayanan Puthenpurayil
last_name: Satheeschandran
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for
Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference
on Network Softwarization (NetSoft). IEEE; 2020.'
apa: 'Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020).
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.
In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium:
IEEE.'
bibtex: '@inproceedings{Schneider_Satheeschandran_Peuster_Karl_2020, title={Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization},
booktitle={IEEE Conference on Network Softwarization (NetSoft)}, publisher={IEEE},
author={Schneider, Stefan Balthasar and Satheeschandran, Narayanan Puthenpurayil
and Peuster, Manuel and Karl, Holger}, year={2020} }'
chicago: Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel
Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in
Network Function Virtualization.” In IEEE Conference on Network Softwarization
(NetSoft). IEEE, 2020.
ieee: S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization,”
in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium,
2020.
mla: Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource
Allocation in Network Function Virtualization.” IEEE Conference on Network
Softwarization (NetSoft), IEEE, 2020.
short: 'S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference
on Network Softwarization (NetSoft), IEEE, 2020.'
conference:
location: Ghent, Belgium
name: IEEE Conference on Network Softwarization (NetSoft)
date_created: 2020-03-03T11:42:22Z
date_updated: 2022-01-06T06:52:46Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-03-03T11:42:16Z
date_updated: 2020-03-03T11:42:16Z
file_id: '16220'
file_name: ris_preprint.pdf
file_size: 476590
relation: main_file
file_date_updated: 2020-03-03T11:42:16Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Softwarization (NetSoft)
publisher: IEEE
status: public
title: Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '16222'
author:
- first_name: A.
full_name: Zafeiropoulos, A.
last_name: Zafeiropoulos
- first_name: E.
full_name: Fotopoulou, E.
last_name: Fotopoulou
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: P.
full_name: Gouvas, P.
last_name: Gouvas
- first_name: D.
full_name: Behnke, D.
last_name: Behnke
- first_name: M.
full_name: Müller, M.
last_name: Müller
- first_name: P.
full_name: Bök, P.
last_name: Bök
- first_name: P.
full_name: Trakadas, P.
last_name: Trakadas
- first_name: P.
full_name: Karkazis, P.
last_name: Karkazis
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Zafeiropoulos A, Fotopoulou E, Peuster M, et al. Benchmarking and Profiling
5G Verticals’ Applications: An Industrial IoT Use Case. In: IEEE Conference
on Network Softwarization (NetSoft). ; 2020.'
apa: 'Zafeiropoulos, A., Fotopoulou, E., Peuster, M., Schneider, S. B., Gouvas,
P., Behnke, D., … Karl, H. (2020). Benchmarking and Profiling 5G Verticals’ Applications:
An Industrial IoT Use Case. In IEEE Conference on Network Softwarization (NetSoft).'
bibtex: '@inproceedings{Zafeiropoulos_Fotopoulou_Peuster_Schneider_Gouvas_Behnke_Müller_Bök_Trakadas_Karkazis_et
al._2020, title={Benchmarking and Profiling 5G Verticals’ Applications: An Industrial
IoT Use Case}, booktitle={IEEE Conference on Network Softwarization (NetSoft)},
author={Zafeiropoulos, A. and Fotopoulou, E. and Peuster, Manuel and Schneider,
Stefan Balthasar and Gouvas, P. and Behnke, D. and Müller, M. and Bök, P. and
Trakadas, P. and Karkazis, P. and et al.}, year={2020} }'
chicago: 'Zafeiropoulos, A., E. Fotopoulou, Manuel Peuster, Stefan Balthasar Schneider,
P. Gouvas, D. Behnke, M. Müller, et al. “Benchmarking and Profiling 5G Verticals’
Applications: An Industrial IoT Use Case.” In IEEE Conference on Network Softwarization
(NetSoft), 2020.'
ieee: 'A. Zafeiropoulos et al., “Benchmarking and Profiling 5G Verticals’
Applications: An Industrial IoT Use Case,” in IEEE Conference on Network Softwarization
(NetSoft), 2020.'
mla: 'Zafeiropoulos, A., et al. “Benchmarking and Profiling 5G Verticals’ Applications:
An Industrial IoT Use Case.” IEEE Conference on Network Softwarization (NetSoft),
2020.'
short: 'A. Zafeiropoulos, E. Fotopoulou, M. Peuster, S.B. Schneider, P. Gouvas,
D. Behnke, M. Müller, P. Bök, P. Trakadas, P. Karkazis, H. Karl, in: IEEE Conference
on Network Softwarization (NetSoft), 2020.'
date_created: 2020-03-03T11:51:22Z
date_updated: 2022-01-06T06:52:46Z
department:
- _id: '75'
language:
- iso: eng
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE Conference on Network Softwarization (NetSoft)
status: public
title: 'Benchmarking and Profiling 5G Verticals'' Applications: An Industrial IoT
Use Case'
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '16278'
abstract:
- lang: eng
text: Currently, the coexistence of multiple users and devices challenges the network's
ability to reliably connect them. This article proposes a novel communication
architecture that satisfies the requirements of fifth-generation (5G) mobile network
applications. In particular, this architecture extends and combines ultra-dense
networking (UDN), multi-access edge computing (MEC), and virtual infrastructure
manager (VIM) concepts to provide a flexible network of moving radio access (RA)
nodes, flying or moving to areas where users and devices struggle for connectivity
and data rate. Furthermore, advances in radio communications and non-orthogonal
multiple access (NOMA), virtualization technologies and energy-awareness mechanisms
are integrated towards a mobile UDN that not only allows RA nodes to follow the
user but also enables the virtualized network functions (VNFs) to adapt to user
mobility by migrating from one node to another. Performance evaluation shows that
the underlying network improves connectivity of users and devices through the
flexible deployment of moving RA nodes and the use of NOMA.
article_number: '100250'
author:
- first_name: Nikolaos
full_name: Nomikos, Nikolaos
last_name: Nomikos
- first_name: Emmanouel T.
full_name: Michailidis, Emmanouel T.
last_name: Michailidis
- first_name: Panagiotis
full_name: Trakadas, Panagiotis
last_name: Trakadas
- first_name: Demosthenes
full_name: Vouyioukas, Demosthenes
last_name: Vouyioukas
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Josep
full_name: Martrat, Josep
last_name: Martrat
- first_name: Theodore
full_name: Zahariadis, Theodore
last_name: Zahariadis
- first_name: Konstantinos
full_name: Papadopoulos, Konstantinos
last_name: Papadopoulos
- first_name: Stamatis
full_name: Voliotis, Stamatis
last_name: Voliotis
citation:
ama: Nomikos N, Michailidis ET, Trakadas P, et al. A UAV-based moving 5G RAN for
massive connectivity of mobile users and IoT devices. Vehicular Communications.
2020. doi:10.1016/j.vehcom.2020.100250
apa: Nomikos, N., Michailidis, E. T., Trakadas, P., Vouyioukas, D., Karl, H., Martrat,
J., … Voliotis, S. (2020). A UAV-based moving 5G RAN for massive connectivity
of mobile users and IoT devices. Vehicular Communications. https://doi.org/10.1016/j.vehcom.2020.100250
bibtex: '@article{Nomikos_Michailidis_Trakadas_Vouyioukas_Karl_Martrat_Zahariadis_Papadopoulos_Voliotis_2020,
title={A UAV-based moving 5G RAN for massive connectivity of mobile users and
IoT devices}, DOI={10.1016/j.vehcom.2020.100250},
number={100250}, journal={Vehicular Communications}, author={Nomikos, Nikolaos
and Michailidis, Emmanouel T. and Trakadas, Panagiotis and Vouyioukas, Demosthenes
and Karl, Holger and Martrat, Josep and Zahariadis, Theodore and Papadopoulos,
Konstantinos and Voliotis, Stamatis}, year={2020} }'
chicago: Nomikos, Nikolaos, Emmanouel T. Michailidis, Panagiotis Trakadas, Demosthenes
Vouyioukas, Holger Karl, Josep Martrat, Theodore Zahariadis, Konstantinos Papadopoulos,
and Stamatis Voliotis. “A UAV-Based Moving 5G RAN for Massive Connectivity of
Mobile Users and IoT Devices.” Vehicular Communications, 2020. https://doi.org/10.1016/j.vehcom.2020.100250.
ieee: N. Nomikos et al., “A UAV-based moving 5G RAN for massive connectivity
of mobile users and IoT devices,” Vehicular Communications, 2020.
mla: Nomikos, Nikolaos, et al. “A UAV-Based Moving 5G RAN for Massive Connectivity
of Mobile Users and IoT Devices.” Vehicular Communications, 100250, 2020,
doi:10.1016/j.vehcom.2020.100250.
short: N. Nomikos, E.T. Michailidis, P. Trakadas, D. Vouyioukas, H. Karl, J. Martrat,
T. Zahariadis, K. Papadopoulos, S. Voliotis, Vehicular Communications (2020).
date_created: 2020-03-10T15:59:56Z
date_updated: 2022-01-06T06:52:48Z
department:
- _id: '75'
doi: 10.1016/j.vehcom.2020.100250
language:
- iso: eng
publication: Vehicular Communications
publication_identifier:
issn:
- 2214-2096
publication_status: published
status: public
title: A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT
devices
type: journal_article
user_id: '126'
year: '2020'
...
---
_id: '16280'
abstract:
- lang: eng
text: 'Assigning bands of the wireless spectrum as resources to users is a common
problem in wireless networks. Typically, frequency bands were assumed to be available
in a stable manner. Nevertheless, in recent scenarios where wireless networks
may be deployed in unknown environments, spectrum competition is considered, making
it uncertain whether a frequency band is available at all or at what quality.
To fully exploit such resources with uncertain availability, the multi-armed bandit
(MAB) method, a representative online learning technique, has been applied to
design spectrum scheduling algorithms. This article surveys such proposals. We
describe the following three aspects: how to model spectrum scheduling problems
within the MAB framework, what the main thread is following which prevalent algorithms
are designed, and how to evaluate algorithm performance and complexity. We also
give some promising directions for future research in related fields.'
author:
- first_name: Feng
full_name: Li, Feng
last_name: Li
- first_name: Dongxiao
full_name: Yu, Dongxiao
last_name: Yu
- first_name: Huan
full_name: Yang, Huan
last_name: Yang
- first_name: Jiguo
full_name: Yu, Jiguo
last_name: Yu
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Xiuzhen
full_name: Cheng, Xiuzhen
last_name: Cheng
citation:
ama: 'Li F, Yu D, Yang H, Yu J, Karl H, Cheng X. Multi-Armed-Bandit-Based Spectrum
Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications.
2020:24-30. doi:10.1109/mwc.001.1900280'
apa: 'Li, F., Yu, D., Yang, H., Yu, J., Karl, H., & Cheng, X. (2020). Multi-Armed-Bandit-Based
Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless
Communications, 24–30. https://doi.org/10.1109/mwc.001.1900280'
bibtex: '@article{Li_Yu_Yang_Yu_Karl_Cheng_2020, title={Multi-Armed-Bandit-Based
Spectrum Scheduling Algorithms in Wireless Networks: A Survey}, DOI={10.1109/mwc.001.1900280},
journal={IEEE Wireless Communications}, author={Li, Feng and Yu, Dongxiao and
Yang, Huan and Yu, Jiguo and Karl, Holger and Cheng, Xiuzhen}, year={2020}, pages={24–30}
}'
chicago: 'Li, Feng, Dongxiao Yu, Huan Yang, Jiguo Yu, Holger Karl, and Xiuzhen Cheng.
“Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks:
A Survey.” IEEE Wireless Communications, 2020, 24–30. https://doi.org/10.1109/mwc.001.1900280.'
ieee: 'F. Li, D. Yu, H. Yang, J. Yu, H. Karl, and X. Cheng, “Multi-Armed-Bandit-Based
Spectrum Scheduling Algorithms in Wireless Networks: A Survey,” IEEE Wireless
Communications, pp. 24–30, 2020.'
mla: 'Li, Feng, et al. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms
in Wireless Networks: A Survey.” IEEE Wireless Communications, 2020, pp.
24–30, doi:10.1109/mwc.001.1900280.'
short: F. Li, D. Yu, H. Yang, J. Yu, H. Karl, X. Cheng, IEEE Wireless Communications
(2020) 24–30.
date_created: 2020-03-10T16:02:30Z
date_updated: 2022-01-06T06:52:48Z
department:
- _id: '75'
doi: 10.1109/mwc.001.1900280
language:
- iso: eng
page: 24-30
publication: IEEE Wireless Communications
publication_identifier:
issn:
- 1536-1284
- 1558-0687
publication_status: published
status: public
title: 'Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks:
A Survey'
type: journal_article
user_id: '126'
year: '2020'
...
---
_id: '16400'
abstract:
- lang: eng
text: "Softwarization facilitates the introduction of smart\r\nmanufacturing applications
in the industry. Manifold devices\r\nsuch as machine computers, Industrial IoT
devices, tablets,\r\nsmartphones and smart glasses are integrated into factory
networks\r\nto enable shop floor digitalization and big data analysis. To\r\nhandle
the increasing number of devices and the resulting traffic,\r\na flexible and
scalable factory network is necessary which can be\r\nrealized using softwarization
technologies like Network Function\r\nVirtualization (NFV). However, the security
risks increase with\r\nthe increasing number of new devices, so that cyber security
must\r\nalso be considered in NFV-based networks.\r\n\r\nTherefore, extending
our previous work, we showcase threat\r\ndetection using a cloud-native NFV-driven
intrusion detection\r\nsystem (IDS) that is integrated in our industrial-specific
network\r\nservices. As a result of the threat detection, the affected network\r\nservice
is put into quarantine via automatic network reconfiguration.\r\nWe use the 5GTANGO
service platform to deploy our\r\ndeveloped network services on Kubernetes and
to initiate the\r\nnetwork reconfiguration."
author:
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Cloud-Native
Threat Detection and Containment for Smart Manufacturing. In: IEEE Conference
on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE; 2020.'
apa: 'Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl,
H. (2020). Cloud-Native Threat Detection and Containment for Smart Manufacturing.
In IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent,
Belgium: IEEE.'
bibtex: '@inproceedings{Müller_Behnke_Bök_Schneider_Peuster_Karl_2020, place={Ghent,
Belgium}, title={Cloud-Native Threat Detection and Containment for Smart Manufacturing},
booktitle={IEEE Conference on Network Softwarization (NetSoft) Demo Track}, publisher={IEEE},
author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Schneider,
Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2020} }'
chicago: 'Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Stefan Balthasar
Schneider, Manuel Peuster, and Holger Karl. “Cloud-Native Threat Detection and
Containment for Smart Manufacturing.” In IEEE Conference on Network Softwarization
(NetSoft) Demo Track. Ghent, Belgium: IEEE, 2020.'
ieee: M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl,
“Cloud-Native Threat Detection and Containment for Smart Manufacturing,” in IEEE
Conference on Network Softwarization (NetSoft) Demo Track, Ghent, Belgium,
2020.
mla: Müller, Marcel, et al. “Cloud-Native Threat Detection and Containment for Smart
Manufacturing.” IEEE Conference on Network Softwarization (NetSoft) Demo Track,
IEEE, 2020.
short: 'M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in:
IEEE Conference on Network Softwarization (NetSoft) Demo Track, IEEE, Ghent, Belgium,
2020.'
conference:
location: Ghent, Belgium
name: IEEE Conference on Network Softwarization (NetSoft) Demo Track
date_created: 2020-04-03T11:53:00Z
date_updated: 2022-01-06T06:52:50Z
department:
- _id: '75'
language:
- iso: eng
place: Ghent, Belgium
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Softwarization (NetSoft) Demo Track
publisher: IEEE
status: public
title: Cloud-Native Threat Detection and Containment for Smart Manufacturing
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '13770'
author:
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT
Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering.
2020;62(6):467-481. doi:10.1007/s12599-019-00627-x'
apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020).
A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information
Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x'
bibtex: '@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case
for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x},
number={6}, journal={Business & Information Systems Engineering}, publisher={Springer},
author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and
Wehrheim, Heike}, year={2020}, pages={467–481} }'
chicago: 'Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike
Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business &
Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.'
ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for
a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems
Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x.'
mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.”
Business & Information Systems Engineering, vol. 62, no. 6, Springer,
2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.'
short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &
Information Systems Engineering 62 (2020) 467–481.
date_created: 2019-10-10T13:41:06Z
date_updated: 2022-12-02T09:27:17Z
ddc:
- '004'
department:
- _id: '276'
- _id: '75'
- _id: '63'
- _id: '77'
doi: 10.1007/s12599-019-00627-x
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2019-12-12T10:24:47Z
date_updated: 2019-12-12T10:24:47Z
file_id: '15311'
file_name: Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf
file_size: 454532
relation: main_file
success: 1
file_date_updated: 2019-12-12T10:24:47Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '6'
language:
- iso: eng
page: 467-481
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '3'
name: SFB 901 - Project Area B
- _id: '4'
name: SFB 901 - Project Area C
- _id: '82'
name: SFB 901 - Project Area T
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '6'
name: SFB 901 - Subproject A2
- _id: '7'
name: SFB 901 - Subproject A3
- _id: '8'
name: SFB 901 - Subproject A4
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '13'
name: SFB 901 - Subproject C1
- _id: '14'
name: SFB 901 - Subproject C2
- _id: '15'
name: SFB 901 - Subproject C3
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '17'
name: SFB 901 - Subproject C5
- _id: '83'
name: SFB 901 -Subproject T1
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '107'
name: SFB 901 -Subproject T3
- _id: '158'
name: 'SFB 901 - T4: SFB 901 -Subproject T4'
publication: Business & Information Systems Engineering
publication_status: published
publisher: Springer
status: public
title: 'A Case for a New IT Ecosystem: On-The-Fly Computing'
type: journal_article
user_id: '477'
volume: 62
year: '2020'
...
---
_id: '3287'
abstract:
- lang: eng
text: "For optimal placement and orchestration of network services, it is crucial\r\nthat
their structure and semantics are specified clearly and comprehensively\r\nand
are available to an orchestrator. Existing specification approaches are\r\neither
ambiguous or miss important aspects regarding the behavior of virtual\r\nnetwork
functions (VNFs) forming a service. We propose to formally and\r\nunambiguously
specify the behavior of these functions and services using\r\nQueuing Petri Nets
(QPNs). QPNs are an established method that allows to\r\nexpress queuing, synchronization,
stochastically distributed processing delays,\r\nand changing traffic volume and
characteristics at each VNF. With QPNs,\r\nmultiple VNFs can be connected to complete
network services in any structure,\r\neven specifying bidirectional network services
containing loops.\r\n We discuss how management and orchestration systems can
benefit from our\r\nclear and comprehensive specification approach, leading to
better placement of\r\nVNFs and improved Quality of Service. Another benefit of
formally specifying\r\nnetwork services with QPNs are diverse analysis options,
which allow valuable\r\ninsights such as the distribution of end-to-end delay.
We propose a tool-based\r\nworkflow that supports the specification of network
services and the automatic\r\ngeneration of corresponding simulation code to enable
an in-depth analysis of\r\ntheir behavior and performance."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Schneider SB, Sharma A, Karl H, Wehrheim H. Specifying and Analyzing Virtual
Network Services Using Queuing Petri Nets. In: 2019 IFIP/IEEE International
Symposium on Integrated Network Management (IM). Washington, DC, USA: IFIP;
2019:116--124.'
apa: 'Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying
and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE
International Symposium on Integrated Network Management (IM) (pp. 116--124).
Washington, DC, USA: IFIP.'
bibtex: '@inproceedings{Schneider_Sharma_Karl_Wehrheim_2019, place={Washington,
DC, USA}, title={Specifying and Analyzing Virtual Network Services Using Queuing
Petri Nets}, booktitle={2019 IFIP/IEEE International Symposium on Integrated Network
Management (IM)}, publisher={IFIP}, author={Schneider, Stefan Balthasar and Sharma,
Arnab and Karl, Holger and Wehrheim, Heike}, year={2019}, pages={116--124} }'
chicago: 'Schneider, Stefan Balthasar, Arnab Sharma, Holger Karl, and Heike Wehrheim.
“Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.”
In 2019 IFIP/IEEE International Symposium on Integrated Network Management
(IM), 116--124. Washington, DC, USA: IFIP, 2019.'
ieee: S. B. Schneider, A. Sharma, H. Karl, and H. Wehrheim, “Specifying and Analyzing
Virtual Network Services Using Queuing Petri Nets,” in 2019 IFIP/IEEE International
Symposium on Integrated Network Management (IM), Washington, DC, USA, 2019,
pp. 116--124.
mla: Schneider, Stefan Balthasar, et al. “Specifying and Analyzing Virtual Network
Services Using Queuing Petri Nets.” 2019 IFIP/IEEE International Symposium
on Integrated Network Management (IM), IFIP, 2019, pp. 116--124.
short: 'S.B. Schneider, A. Sharma, H. Karl, H. Wehrheim, in: 2019 IFIP/IEEE International
Symposium on Integrated Network Management (IM), IFIP, Washington, DC, USA, 2019,
pp. 116--124.'
conference:
end_date: 2019-04-12
location: Washington, DC, USA
name: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM)
start_date: 2019-04-08
date_created: 2018-06-18T15:23:18Z
date_updated: 2022-01-06T06:59:09Z
ddc:
- '040'
department:
- _id: '77'
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2019-01-07T12:38:35Z
date_updated: 2019-01-07T12:38:35Z
file_id: '6504'
file_name: ris_preprint.pdf
file_size: 497528
relation: main_file
file_date_updated: 2019-01-07T12:38:35Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://dl.ifip.org/db/conf/im/im2019/188490.pdf
oa: '1'
page: 116--124
place: Washington, DC, USA
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '25'
call_identifier: 5G PPP Phase 1
grant_number: '671517'
name: 'SONATA NFV: Agile Service Development and Orchestration in 5G Virtualized
Networks'
publication: 2019 IFIP/IEEE International Symposium on Integrated Network Management
(IM)
publisher: IFIP
status: public
title: Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets
type: conference
user_id: '35343'
year: '2019'
...
---
_id: '9270'
abstract:
- lang: eng
text: "As 5G and network function virtualization (NFV) are maturing, it becomes
crucial to demonstrate their feasibility and benefits by means of vertical scenarios.
While 5GPPP has identified smart manufacturing as one of the most important vertical
industries, there is still a lack of specific, practical use cases. \r\n\r\nUsing
the experience from a large-scale manufacturing company, Weidm{\\\"u}ller Group,
we present a detailed use case that reflects the needs of real-world manufacturers.
We also propose an architecture with specific network services and virtual network
functions (VNFs) that realize the use case in practice. As a proof of concept,
we implement the required services and deploy them on an emulation-based prototyping
platform. Our experimental results indicate that a fully virtualized smart manufacturing
use case is not only feasible but also reduces machine interconnection and configuration
time and thus improves productivity by orders of magnitude."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Müller
full_name: Marcel, Müller
last_name: Marcel
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Peuster M, Behnke D, Marcel M, Bök P-B, Karl H. Putting 5G into
Production: Realizing a Smart Manufacturing Vertical Scenario. In: European
Conference on Networks and Communications (EuCNC). Valencia, Spain: IEEE;
2019. doi:10.1109/eucnc.2019.8802016'
apa: 'Schneider, S. B., Peuster, M., Behnke, D., Marcel, M., Bök, P.-B., & Karl,
H. (2019). Putting 5G into Production: Realizing a Smart Manufacturing Vertical
Scenario. In European Conference on Networks and Communications (EuCNC).
Valencia, Spain: IEEE. https://doi.org/10.1109/eucnc.2019.8802016'
bibtex: '@inproceedings{Schneider_Peuster_Behnke_Marcel_Bök_Karl_2019, place={Valencia,
Spain}, title={Putting 5G into Production: Realizing a Smart Manufacturing Vertical
Scenario}, DOI={10.1109/eucnc.2019.8802016},
booktitle={European Conference on Networks and Communications (EuCNC)}, publisher={IEEE},
author={Schneider, Stefan Balthasar and Peuster, Manuel and Behnke, Daniel and
Marcel, Müller and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }'
chicago: 'Schneider, Stefan Balthasar, Manuel Peuster, Daniel Behnke, Müller Marcel,
Patrick-Benjamin Bök, and Holger Karl. “Putting 5G into Production: Realizing
a Smart Manufacturing Vertical Scenario.” In European Conference on Networks
and Communications (EuCNC). Valencia, Spain: IEEE, 2019. https://doi.org/10.1109/eucnc.2019.8802016.'
ieee: 'S. B. Schneider, M. Peuster, D. Behnke, M. Marcel, P.-B. Bök, and H. Karl,
“Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario,”
in European Conference on Networks and Communications (EuCNC), 2019.'
mla: 'Schneider, Stefan Balthasar, et al. “Putting 5G into Production: Realizing
a Smart Manufacturing Vertical Scenario.” European Conference on Networks and
Communications (EuCNC), IEEE, 2019, doi:10.1109/eucnc.2019.8802016.'
short: 'S.B. Schneider, M. Peuster, D. Behnke, M. Marcel, P.-B. Bök, H. Karl, in:
European Conference on Networks and Communications (EuCNC), IEEE, Valencia, Spain,
2019.'
date_created: 2019-04-23T09:27:06Z
date_updated: 2022-01-06T07:04:12Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/eucnc.2019.8802016
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2019-04-23T09:29:49Z
date_updated: 2019-12-12T09:15:57Z
file_id: '9272'
file_name: preprint_ris_with_header.pdf
file_size: 374397
relation: main_file
file_date_updated: 2019-12-12T09:15:57Z
has_accepted_license: '1'
keyword:
- 5g
- vertical
- smart manufacturing
- nfv
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/8802016
oa: '1'
place: Valencia, Spain
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: European Conference on Networks and Communications (EuCNC)
publisher: IEEE
status: public
title: 'Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario'
type: conference
user_id: '35343'
year: '2019'
...
---
_id: '8113'
abstract:
- lang: eng
text: "The ongoing softwarization of networks creates a big need for automated testing
solutions to ensure service quality. This becomes even more important if agile
environments with short time to market and high demands, in terms of service performance
and availability, are considered.\r\nIn this paper, we introduce a novel testing
solution for virtualized, microservice-based network functions and services, which
we base on TTCN-3, a well known testing language defined by the European standards
institute (ETSI). We use TTCN-3 not only for functional testing but also answer
the question whether TTCN-3 can be used for performance profiling tasks as well.
Finally, we demonstrate the proposed concepts and solutions in a case study using
our open-source prototype to test and profile a chained network service."
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Christian
full_name: Dröge, Christian
last_name: Dröge
- first_name: Clemens
full_name: Boos, Clemens
last_name: Boos
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Peuster M, Dröge C, Boos C, Karl H. Joint testing and profiling of microservice-based
network services using TTCN-3. ICT Express. 2019. doi:10.1016/j.icte.2019.02.001
apa: Peuster, M., Dröge, C., Boos, C., & Karl, H. (2019). Joint testing and
profiling of microservice-based network services using TTCN-3. ICT Express.
https://doi.org/10.1016/j.icte.2019.02.001
bibtex: '@article{Peuster_Dröge_Boos_Karl_2019, title={Joint testing and profiling
of microservice-based network services using TTCN-3}, DOI={10.1016/j.icte.2019.02.001},
journal={ICT Express}, publisher={Elsevier BV}, author={Peuster, Manuel and Dröge,
Christian and Boos, Clemens and Karl, Holger}, year={2019} }'
chicago: Peuster, Manuel, Christian Dröge, Clemens Boos, and Holger Karl. “Joint
Testing and Profiling of Microservice-Based Network Services Using TTCN-3.” ICT
Express, 2019. https://doi.org/10.1016/j.icte.2019.02.001.
ieee: M. Peuster, C. Dröge, C. Boos, and H. Karl, “Joint testing and profiling of
microservice-based network services using TTCN-3,” ICT Express, 2019.
mla: Peuster, Manuel, et al. “Joint Testing and Profiling of Microservice-Based
Network Services Using TTCN-3.” ICT Express, Elsevier BV, 2019, doi:10.1016/j.icte.2019.02.001.
short: M. Peuster, C. Dröge, C. Boos, H. Karl, ICT Express (2019).
date_created: 2019-02-26T18:07:33Z
date_updated: 2022-01-06T07:03:51Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1016/j.icte.2019.02.001
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-02-26T18:09:43Z
date_updated: 2019-02-26T18:09:43Z
file_id: '8114'
file_name: main_for_ris.pdf
file_size: 232599
relation: main_file
file_date_updated: 2019-02-26T18:09:43Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2405959519300402
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: ICT Express
publication_identifier:
issn:
- 2405-9595
publication_status: published
publisher: Elsevier BV
status: public
title: Joint testing and profiling of microservice-based network services using TTCN-3
type: journal_article
user_id: '477'
year: '2019'
...
---
_id: '8240'
author:
- first_name: Sevil
full_name: Dräxler, Sevil
id: '31764'
last_name: Dräxler
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Dräxler S, Karl H. SPRING: Scaling, Placement, and Routing of Heterogeneous
Services with Flexible Structures. In: 5th IEEE International Conference on
Network Softwarization (NetSoft) 2019.'
apa: 'Dräxler, S., & Karl, H. (n.d.). SPRING: Scaling, Placement, and Routing
of Heterogeneous Services with Flexible Structures. In 5th IEEE International
Conference on Network Softwarization (NetSoft) 2019. Paris.'
bibtex: '@inproceedings{Dräxler_Karl, title={SPRING: Scaling, Placement, and Routing
of Heterogeneous Services with Flexible Structures}, booktitle={5th IEEE International
Conference on Network Softwarization (NetSoft) 2019}, author={Dräxler, Sevil and
Karl, Holger} }'
chicago: 'Dräxler, Sevil, and Holger Karl. “SPRING: Scaling, Placement, and Routing
of Heterogeneous Services with Flexible Structures.” In 5th IEEE International
Conference on Network Softwarization (NetSoft) 2019, n.d.'
ieee: 'S. Dräxler and H. Karl, “SPRING: Scaling, Placement, and Routing of Heterogeneous
Services with Flexible Structures,” in 5th IEEE International Conference on
Network Softwarization (NetSoft) 2019, Paris.'
mla: 'Dräxler, Sevil, and Holger Karl. “SPRING: Scaling, Placement, and Routing
of Heterogeneous Services with Flexible Structures.” 5th IEEE International
Conference on Network Softwarization (NetSoft) 2019.'
short: 'S. Dräxler, H. Karl, in: 5th IEEE International Conference on Network Softwarization
(NetSoft) 2019, n.d.'
conference:
end_date: 2019-06-28
location: Paris
name: 5th IEEE International Conference on Network Softwarization (NetSoft) 2019
start_date: 2019-06-24
date_created: 2019-03-04T09:23:54Z
date_updated: 2022-01-06T07:03:52Z
department:
- _id: '75'
language:
- iso: eng
project:
- _id: '23'
grant_number: '762057'
name: 5G Programmable Infrastructure Converging disaggregated neTwork and compUte
Resources
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: 5th IEEE International Conference on Network Softwarization (NetSoft)
2019
publication_status: accepted
status: public
title: 'SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible
Structures'
type: conference
user_id: '31764'
year: '2019'
...
---
_id: '8792'
abstract:
- lang: eng
text: "5G together with software defined networking (SDN) and network function virtualisation
(NFV) will enable a wide variety of vertical use cases. One of them is the smart
man- ufacturing case which utilises 5G networks to interconnect production machines,
machine parks, and factory sites to enable new possibilities in terms of flexibility,
automation, and novel applications (industry 4.0). However, the availability of
realistic and practical proof-of-concepts for those smart manufacturing scenarios
is still limited.\r\nThis demo fills this gap by not only showing a real-world
smart manufacturing application entirely implemented using NFV concepts, but also
a lightweight prototyping framework that simplifies the realisation of vertical
NFV proof-of-concepts. Dur- ing the demo, we show how an NFV-based smart manufacturing
scenario can be specified, on-boarded, and instantiated before we demonstrate
how the presented NFV services simplify machine data collection, aggregation,
and analysis."
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Peuster M, Schneider SB, Behnke D, Müller M, Bök P-B, Karl H. Prototyping
and Demonstrating 5G Verticals: The Smart Manufacturing Case. In: 5th IEEE
International Conference on Network Softwarization (NetSoft 2019). Paris;
2019. doi:10.1109/NETSOFT.2019.8806685'
apa: 'Peuster, M., Schneider, S. B., Behnke, D., Müller, M., Bök, P.-B., & Karl,
H. (2019). Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing
Case. In 5th IEEE International Conference on Network Softwarization (NetSoft
2019). Paris. https://doi.org/10.1109/NETSOFT.2019.8806685'
bibtex: '@inproceedings{Peuster_Schneider_Behnke_Müller_Bök_Karl_2019, place={Paris},
title={Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case},
DOI={10.1109/NETSOFT.2019.8806685},
booktitle={5th IEEE International Conference on Network Softwarization (NetSoft
2019)}, author={Peuster, Manuel and Schneider, Stefan Balthasar and Behnke, Daniel
and Müller, Marcel and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }'
chicago: 'Peuster, Manuel, Stefan Balthasar Schneider, Daniel Behnke, Marcel Müller,
Patrick-Benjamin Bök, and Holger Karl. “Prototyping and Demonstrating 5G Verticals:
The Smart Manufacturing Case.” In 5th IEEE International Conference on Network
Softwarization (NetSoft 2019). Paris, 2019. https://doi.org/10.1109/NETSOFT.2019.8806685.'
ieee: 'M. Peuster, S. B. Schneider, D. Behnke, M. Müller, P.-B. Bök, and H. Karl,
“Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case,” in
5th IEEE International Conference on Network Softwarization (NetSoft 2019),
Paris, 2019.'
mla: 'Peuster, Manuel, et al. “Prototyping and Demonstrating 5G Verticals: The Smart
Manufacturing Case.” 5th IEEE International Conference on Network Softwarization
(NetSoft 2019), 2019, doi:10.1109/NETSOFT.2019.8806685.'
short: 'M. Peuster, S.B. Schneider, D. Behnke, M. Müller, P.-B. Bök, H. Karl, in:
5th IEEE International Conference on Network Softwarization (NetSoft 2019), Paris,
2019.'
conference:
end_date: 2019-06-28
location: Paris
name: 5th IEEE International Conference on Network Softwarization (NetSoft 2019)
start_date: 2019-06-24
date_created: 2019-04-01T13:37:05Z
date_updated: 2022-01-06T07:04:01Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/NETSOFT.2019.8806685
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-04-01T13:46:18Z
date_updated: 2019-04-01T13:46:18Z
file_id: '8794'
file_name: main_for_ris.pdf
file_size: 1693793
relation: main_file
file_date_updated: 2019-04-01T13:46:18Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1109/NETSOFT.2019.8806685
oa: '1'
place: Paris
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: 5th IEEE International Conference on Network Softwarization (NetSoft
2019)
status: public
title: 'Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '8795'
abstract:
- lang: eng
text: "Softwarized networks are the key enabler for elastic, on-demand service deployments
of virtualized network functions. They allow to dynamically steer traffic\r\nthrough
the network when new network functions are instantiated, or old ones\r\nare terminated.
These scenarios become in particular challenging when stateful functions are involved,
necessitating state management solutions to migrate\r\nstate between the functions.
The problem with existing solutions is that they typically embrace state migration
and flow rerouting jointly, imposing a huge set\r\nof requirements on the on-boarded
virtualized network functions (VNFs), eg,\r\nsolution-specific state management
interfaces.\r\nTo change this, we introduce the seamless handover protocol (SHarP).
An\r\neasy-to-use, loss-less, and order-preserving flow rerouting mechanism that
is\r\nnot fixed to a single state management approach. Using SHarP, VNF vendors\r\nare
empowered to implement or use the state management solution of their\r\nchoice.
SHarP supports these solutions with additional information when flows\r\nare migrated.
In this paper, we present SHarP's design, its open source prototype\r\nimplementation,
and show how SHarP significantly reduces the buffer usage at\r\na central (SDN)
controller, which is a typical bottleneck in state-of-the-art solutions. Our experiments
show that SHarP uses a constant amount of controller\r\nbuffer, irrespective of
the time taken to migrate the VNF state."
article_number: e2067
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Hannes
full_name: Küttner, Hannes
last_name: Küttner
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Peuster M, Küttner H, Karl H. A flow handover protocol to support state migration
in softwarized networks. International Journal of Network Management. 2019.
doi:10.1002/nem.2067
apa: Peuster, M., Küttner, H., & Karl, H. (2019). A flow handover protocol to
support state migration in softwarized networks. International Journal of Network
Management. https://doi.org/10.1002/nem.2067
bibtex: '@article{Peuster_Küttner_Karl_2019, title={A flow handover protocol to
support state migration in softwarized networks}, DOI={10.1002/nem.2067},
number={e2067}, journal={International Journal of Network Management}, author={Peuster,
Manuel and Küttner, Hannes and Karl, Holger}, year={2019} }'
chicago: Peuster, Manuel, Hannes Küttner, and Holger Karl. “A Flow Handover Protocol
to Support State Migration in Softwarized Networks.” International Journal
of Network Management, 2019. https://doi.org/10.1002/nem.2067.
ieee: M. Peuster, H. Küttner, and H. Karl, “A flow handover protocol to support
state migration in softwarized networks,” International Journal of Network
Management, 2019.
mla: Peuster, Manuel, et al. “A Flow Handover Protocol to Support State Migration
in Softwarized Networks.” International Journal of Network Management,
e2067, 2019, doi:10.1002/nem.2067.
short: M. Peuster, H. Küttner, H. Karl, International Journal of Network Management
(2019).
date_created: 2019-04-01T17:47:36Z
date_updated: 2022-01-06T07:04:01Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1002/nem.2067
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-04-01T18:04:14Z
date_updated: 2019-04-01T18:04:14Z
file_id: '8796'
file_name: main_for_ris.pdf
file_size: 2571927
relation: main_file
file_date_updated: 2019-04-01T18:04:14Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://onlinelibrary.wiley.com/doi/abs/10.1002/nem.2067
oa: '1'
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: International Journal of Network Management
publication_identifier:
issn:
- 1055-7148
- 1099-1190
publication_status: published
status: public
title: A flow handover protocol to support state migration in softwarized networks
type: journal_article
user_id: '13271'
year: '2019'
...
---
_id: '9823'
author:
- first_name: Thomas
full_name: Soenen, Thomas
last_name: Soenen
- first_name: Wouter
full_name: Tavernier, Wouter
last_name: Tavernier
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Felipe
full_name: Vicens, Felipe
last_name: Vicens
- first_name: George
full_name: Xilouris, George
last_name: Xilouris
- first_name: Stavros
full_name: Kolometsos, Stavros
last_name: Kolometsos
- first_name: Michail-Alexandros
full_name: Kourtis, Michail-Alexandros
last_name: Kourtis
- first_name: Didier
full_name: Colle, Didier
last_name: Colle
citation:
ama: 'Soenen T, Tavernier W, Peuster M, et al. Empowering Network Service Developers:
Enhanced NFV DevOps and Programmable MANO. IEEE Communications Magazine.
2019:89-95. doi:10.1109/mcom.2019.1800810'
apa: 'Soenen, T., Tavernier, W., Peuster, M., Vicens, F., Xilouris, G., Kolometsos,
S., … Colle, D. (2019). Empowering Network Service Developers: Enhanced NFV DevOps
and Programmable MANO. IEEE Communications Magazine, 89–95. https://doi.org/10.1109/mcom.2019.1800810'
bibtex: '@article{Soenen_Tavernier_Peuster_Vicens_Xilouris_Kolometsos_Kourtis_Colle_2019,
title={Empowering Network Service Developers: Enhanced NFV DevOps and Programmable
MANO}, DOI={10.1109/mcom.2019.1800810},
journal={IEEE Communications Magazine}, author={Soenen, Thomas and Tavernier,
Wouter and Peuster, Manuel and Vicens, Felipe and Xilouris, George and Kolometsos,
Stavros and Kourtis, Michail-Alexandros and Colle, Didier}, year={2019}, pages={89–95}
}'
chicago: 'Soenen, Thomas, Wouter Tavernier, Manuel Peuster, Felipe Vicens, George
Xilouris, Stavros Kolometsos, Michail-Alexandros Kourtis, and Didier Colle. “Empowering
Network Service Developers: Enhanced NFV DevOps and Programmable MANO.” IEEE
Communications Magazine, 2019, 89–95. https://doi.org/10.1109/mcom.2019.1800810.'
ieee: 'T. Soenen et al., “Empowering Network Service Developers: Enhanced
NFV DevOps and Programmable MANO,” IEEE Communications Magazine, pp. 89–95,
2019.'
mla: 'Soenen, Thomas, et al. “Empowering Network Service Developers: Enhanced NFV
DevOps and Programmable MANO.” IEEE Communications Magazine, 2019, pp.
89–95, doi:10.1109/mcom.2019.1800810.'
short: T. Soenen, W. Tavernier, M. Peuster, F. Vicens, G. Xilouris, S. Kolometsos,
M.-A. Kourtis, D. Colle, IEEE Communications Magazine (2019) 89–95.
date_created: 2019-05-16T09:07:19Z
date_updated: 2022-01-06T07:04:22Z
department:
- _id: '75'
doi: 10.1109/mcom.2019.1800810
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/8713806
page: 89-95
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE Communications Magazine
publication_identifier:
issn:
- 0163-6804
- 1558-1896
publication_status: published
status: public
title: 'Empowering Network Service Developers: Enhanced NFV DevOps and Programmable
MANO'
type: journal_article
user_id: '13271'
year: '2019'
...
---
_id: '9824'
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Mengxuan
full_name: Zhao, Mengxuan
last_name: Zhao
- first_name: George
full_name: Xilouris, George
last_name: Xilouris
- first_name: Panagiotis
full_name: Trakadas, Panagiotis
last_name: Trakadas
- first_name: Felipe
full_name: Vicens, Felipe
last_name: Vicens
- first_name: Wouter
full_name: Tavernier, Wouter
last_name: Tavernier
- first_name: Thomas
full_name: Soenen, Thomas
last_name: Soenen
- first_name: Ricard
full_name: Vilalta, Ricard
last_name: Vilalta
- first_name: George
full_name: Andreou, George
last_name: Andreou
- first_name: Dimosthenis
full_name: Kyriazis, Dimosthenis
last_name: Kyriazis
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Peuster M, Schneider SB, Zhao M, et al. Introducing Automated Verification
and Validation for Virtualized Network Functions and Services. IEEE Communications
Magazine. 2019:96-102. doi:10.1109/mcom.2019.1800873
apa: Peuster, M., Schneider, S. B., Zhao, M., Xilouris, G., Trakadas, P., Vicens,
F., … Karl, H. (2019). Introducing Automated Verification and Validation for Virtualized
Network Functions and Services. IEEE Communications Magazine, 96–102. https://doi.org/10.1109/mcom.2019.1800873
bibtex: '@article{Peuster_Schneider_Zhao_Xilouris_Trakadas_Vicens_Tavernier_Soenen_Vilalta_Andreou_et
al._2019, title={Introducing Automated Verification and Validation for Virtualized
Network Functions and Services}, DOI={10.1109/mcom.2019.1800873},
journal={IEEE Communications Magazine}, author={Peuster, Manuel and Schneider,
Stefan Balthasar and Zhao, Mengxuan and Xilouris, George and Trakadas, Panagiotis
and Vicens, Felipe and Tavernier, Wouter and Soenen, Thomas and Vilalta, Ricard
and Andreou, George and et al.}, year={2019}, pages={96–102} }'
chicago: Peuster, Manuel, Stefan Balthasar Schneider, Mengxuan Zhao, George Xilouris,
Panagiotis Trakadas, Felipe Vicens, Wouter Tavernier, et al. “Introducing Automated
Verification and Validation for Virtualized Network Functions and Services.” IEEE
Communications Magazine, 2019, 96–102. https://doi.org/10.1109/mcom.2019.1800873.
ieee: M. Peuster et al., “Introducing Automated Verification and Validation
for Virtualized Network Functions and Services,” IEEE Communications Magazine,
pp. 96–102, 2019.
mla: Peuster, Manuel, et al. “Introducing Automated Verification and Validation
for Virtualized Network Functions and Services.” IEEE Communications Magazine,
2019, pp. 96–102, doi:10.1109/mcom.2019.1800873.
short: M. Peuster, S.B. Schneider, M. Zhao, G. Xilouris, P. Trakadas, F. Vicens,
W. Tavernier, T. Soenen, R. Vilalta, G. Andreou, D. Kyriazis, H. Karl, IEEE Communications
Magazine (2019) 96–102.
date_created: 2019-05-16T09:09:16Z
date_updated: 2022-01-06T07:04:23Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/mcom.2019.1800873
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-05-16T09:13:40Z
date_updated: 2019-05-16T09:13:40Z
description: |+
Preprint of original article: M. Peuster et al., "Introducing Automated Verification and Validation for Virtualized Network Functions and Services," in IEEE Communications Magazine, vol. 57, no. 5, pp. 96-102, May 2019.
doi: 10.1109/MCOM.2019.1800873
file_id: '9825'
file_name: main_for_ris.pdf
file_size: 1735036
relation: main_file
title: Introducing Automated Verification and Validation for Virtualized Network
Functions and Services
file_date_updated: 2019-05-16T09:13:40Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/8713807
oa: '1'
page: 96-102
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Communications Magazine
publication_identifier:
issn:
- 0163-6804
- 1558-1896
publication_status: published
status: public
title: Introducing Automated Verification and Validation for Virtualized Network Functions
and Services
type: journal_article
user_id: '13271'
year: '2019'
...
...
---
_id: '6860'
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Karl H. Power Allocation with a Wireless Multi-cast Aware Routing
for Virtual Network Embedding. In: 2019 16th IEEE Annual Consumer Communications
& Networking Conference (CCNC2019). Las Vegas: IEEE.'
apa: 'Afifi, H., & Karl, H. (n.d.). Power Allocation with a Wireless Multi-cast
Aware Routing for Virtual Network Embedding. In 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019). Las Vegas: IEEE.'
bibtex: '@inproceedings{Afifi_Karl, place={Las Vegas}, title={Power Allocation with
a Wireless Multi-cast Aware Routing for Virtual Network Embedding}, booktitle={2019
16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019)},
publisher={IEEE}, author={Afifi, Haitham and Karl, Holger} }'
chicago: 'Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
Aware Routing for Virtual Network Embedding.” In 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019). Las Vegas: IEEE, n.d.'
ieee: H. Afifi and H. Karl, “Power Allocation with a Wireless Multi-cast Aware Routing
for Virtual Network Embedding,” in 2019 16th IEEE Annual Consumer Communications
& Networking Conference (CCNC2019).
mla: Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
Aware Routing for Virtual Network Embedding.” 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019), IEEE.
short: 'H. Afifi, H. Karl, in: 2019 16th IEEE Annual Consumer Communications &
Networking Conference (CCNC2019), IEEE, Las Vegas, n.d.'
date_created: 2019-01-17T15:51:34Z
date_updated: 2022-01-06T07:03:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: hafifi
date_created: 2019-01-17T15:49:37Z
date_updated: 2019-01-17T15:49:37Z
file_id: '6861'
file_name: globecom.pdf
file_size: 320283
relation: main_file
file_date_updated: 2019-01-17T15:49:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Las Vegas
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2019 16th IEEE Annual Consumer Communications & Networking Conference
(CCNC2019)
publication_status: accepted
publisher: IEEE
status: public
title: Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network
Embedding
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '12880'
abstract:
- lang: eng
text: By distributing the computational load over the nodes of a Wireless Acoustic
Sensor Network (WASN), the real-time capability of the TRINICON (TRIple-N-Independent
component analysis for CONvolutive mixtures) framework for Blind Source Separation
(BSS) can be ensured, even if the individual network nodes are not powerful enough
to run TRINICON in real-time by themselves. To optimally utilize the limited computing
power and data rate in WASNs, the MARVELO (Multicast-Aware Routing for Virtual
network Embedding with Loops in Overlays) framework is expanded for use with TRINICON,
while a feature-based selection scheme is proposed to exploit the most beneficial
parts of the input signal for adapting the demixing system. The simulation results
of realistic scenarios show only a minor degradation of the separation performance
even in heavily resource-limited situations.
author:
- first_name: Michael
full_name: Guenther, Michael
last_name: Guenther
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Andreas
full_name: Brendel, Andreas
last_name: Brendel
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Walter
full_name: Kellermann, Walter
last_name: Kellermann
citation:
ama: 'Guenther M, Afifi H, Brendel A, Karl H, Kellermann W. Sparse Adaptation of
Distributed Blind Source Separation in Acoustic Sensor Networks. In: 2019 IEEE
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
(WASPAA 2019). New Paltz, USA; 2019.'
apa: Guenther, M., Afifi, H., Brendel, A., Karl, H., & Kellermann, W. (2019).
Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks.
In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
(WASPAA) (WASPAA 2019). New Paltz, USA.
bibtex: '@inproceedings{Guenther_Afifi_Brendel_Karl_Kellermann_2019, place={New
Paltz, USA}, title={Sparse Adaptation of Distributed Blind Source Separation in
Acoustic Sensor Networks}, booktitle={2019 IEEE Workshop on Applications of Signal
Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)}, author={Guenther, Michael
and Afifi, Haitham and Brendel, Andreas and Karl, Holger and Kellermann, Walter},
year={2019} }'
chicago: Guenther, Michael, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter
Kellermann. “Sparse Adaptation of Distributed Blind Source Separation in Acoustic
Sensor Networks.” In 2019 IEEE Workshop on Applications of Signal Processing
to Audio and Acoustics (WASPAA) (WASPAA 2019). New Paltz, USA, 2019.
ieee: M. Guenther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Sparse Adaptation
of Distributed Blind Source Separation in Acoustic Sensor Networks,” in 2019
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
(WASPAA 2019), 2019.
mla: Guenther, Michael, et al. “Sparse Adaptation of Distributed Blind Source Separation
in Acoustic Sensor Networks.” 2019 IEEE Workshop on Applications of Signal
Processing to Audio and Acoustics (WASPAA) (WASPAA 2019), 2019.
short: 'M. Guenther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: 2019 IEEE
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
(WASPAA 2019), New Paltz, USA, 2019.'
date_created: 2019-07-24T07:25:01Z
date_updated: 2022-01-06T06:51:22Z
department:
- _id: '75'
language:
- iso: eng
place: New Paltz, USA
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2019 IEEE Workshop on Applications of Signal Processing to Audio and
Acoustics (WASPAA) (WASPAA 2019)
status: public
title: Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor
Networks
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '12881'
abstract:
- lang: eng
text: Internet of Things (IoT) applications witness an exceptional evolution of
traffic demands, while existing protocols, as seen in wireless sensor networks
(WSNs), struggle to cope with these demands. Traditional protocols rely on finding
a routing path between sensors generating data and sinks acting as gateway or
databases. Meanwhile, the network will suffer from high collisions in case of
high data rates. In this context, in-network processing solutions are used to
leverage the wireless nodes' computations, by distributing processing tasks on
the nodes along the routing path. Although in-network processing solutions are
very popular in wired networks (e.g., data centers and wide area networks), there
are many challenges to adopt these solutions in wireless networks, due to the
interference problem. In this paper, we solve the problem of routing and task
distribution jointly using a greedy Virtual Network Embedding (VNE) algorithm,
and consider power control as well. Through simulations, we compare the proposed
algorithm to optimal solutions and show that it achieves good results in terms
of delay. Moreover, we discuss its sub-optimality by driving tight lower bounds
and loose upper bounds. We also compare our solution with another wireless VNE
solution to show the trade-off between delay and symbol error rate.
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Karl H. An Approximate Power Control Algorithm for a Multi-Cast Wireless
Virtual Network Embedding. In: 2019 12th IFIP Wireless and Mobile Networking
Conference (WMNC) (WMNC’19). Paris, France; 2019.'
apa: Afifi, H., & Karl, H. (2019). An Approximate Power Control Algorithm for
a Multi-Cast Wireless Virtual Network Embedding. In 2019 12th IFIP Wireless
and Mobile Networking Conference (WMNC) (WMNC’19). Paris, France.
bibtex: '@inproceedings{Afifi_Karl_2019, place={Paris, France}, title={An Approximate
Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding},
booktitle={2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19)},
author={Afifi, Haitham and Karl, Holger}, year={2019} }'
chicago: Afifi, Haitham, and Holger Karl. “An Approximate Power Control Algorithm
for a Multi-Cast Wireless Virtual Network Embedding.” In 2019 12th IFIP Wireless
and Mobile Networking Conference (WMNC) (WMNC’19). Paris, France, 2019.
ieee: H. Afifi and H. Karl, “An Approximate Power Control Algorithm for a Multi-Cast
Wireless Virtual Network Embedding,” in 2019 12th IFIP Wireless and Mobile
Networking Conference (WMNC) (WMNC’19), 2019.
mla: Afifi, Haitham, and Holger Karl. “An Approximate Power Control Algorithm for
a Multi-Cast Wireless Virtual Network Embedding.” 2019 12th IFIP Wireless and
Mobile Networking Conference (WMNC) (WMNC’19), 2019.
short: 'H. Afifi, H. Karl, in: 2019 12th IFIP Wireless and Mobile Networking Conference
(WMNC) (WMNC’19), Paris, France, 2019.'
date_created: 2019-07-24T07:25:28Z
date_updated: 2022-01-06T06:51:22Z
department:
- _id: '75'
language:
- iso: eng
place: Paris, France
project:
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC'19)
status: public
title: An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network
Embedding
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '12882'
abstract:
- lang: eng
text: One of the major challenges in implementing wireless virtualization is the
resource discovery. This is particularly important for the embedding-algorithms
that are used to distribute the tasks to nodes. MARVELO is a prototype framework
for executing different distributed algorithms on the top of a wireless (802.11)
ad-hoc network. The aim of MARVELO is to select the nodes for running the algorithms
and to define the routing between the nodes. Hence, it also supports monitoring
functionalities to collect information about the available resources and to assist
in profiling the algorithms. The objective of this demo is to show how MAVRLEO
distributes tasks in an ad-hoc network, based on a feedback from our monitoring
tool. Additionally, we explain the work-flow, composition and execution of the
framework.
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Sebastian
full_name: Eikenberg, Sebastian
last_name: Eikenberg
- first_name: Arnold
full_name: Mueller, Arnold
last_name: Mueller
- first_name: Lars
full_name: Gansel, Lars
last_name: Gansel
- first_name: Alexander
full_name: Makejkin, Alexander
last_name: Makejkin
- first_name: Kai
full_name: Hannemann, Kai
last_name: Hannemann
- first_name: Rafael
full_name: Schellenberg, Rafael
last_name: Schellenberg
citation:
ama: 'Afifi H, Karl H, Eikenberg S, et al. A Rapid Prototyping for Wireless Virtual
Network Embedding using MARVELO. In: 2019 IEEE Wireless Communications and
Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco;
2019.'
apa: Afifi, H., Karl, H., Eikenberg, S., Mueller, A., Gansel, L., Makejkin, A.,
… Schellenberg, R. (2019). A Rapid Prototyping for Wireless Virtual Network Embedding
using MARVELO. In 2019 IEEE Wireless Communications and Networking Conference
(WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco.
bibtex: '@inproceedings{Afifi_Karl_Eikenberg_Mueller_Gansel_Makejkin_Hannemann_Schellenberg_2019,
place={Marrakech, Morocco}, title={A Rapid Prototyping for Wireless Virtual Network
Embedding using MARVELO}, booktitle={2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo)}, author={Afifi, Haitham and Karl, Holger
and Eikenberg, Sebastian and Mueller, Arnold and Gansel, Lars and Makejkin, Alexander
and Hannemann, Kai and Schellenberg, Rafael}, year={2019} }'
chicago: Afifi, Haitham, Holger Karl, Sebastian Eikenberg, Arnold Mueller, Lars
Gansel, Alexander Makejkin, Kai Hannemann, and Rafael Schellenberg. “A Rapid Prototyping
for Wireless Virtual Network Embedding Using MARVELO.” In 2019 IEEE Wireless
Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech,
Morocco, 2019.
ieee: H. Afifi et al., “A Rapid Prototyping for Wireless Virtual Network
Embedding using MARVELO,” in 2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo), 2019.
mla: Afifi, Haitham, et al. “A Rapid Prototyping for Wireless Virtual Network Embedding
Using MARVELO.” 2019 IEEE Wireless Communications and Networking Conference
(WCNC) (IEEE WCNC 2019) (Demo), 2019.
short: 'H. Afifi, H. Karl, S. Eikenberg, A. Mueller, L. Gansel, A. Makejkin, K.
Hannemann, R. Schellenberg, in: 2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo), Marrakech, Morocco, 2019.'
date_created: 2019-07-24T07:28:45Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: hafifi
date_created: 2021-01-30T12:39:43Z
date_updated: 2021-01-30T12:42:31Z
file_id: '21113'
file_name: demo.pdf
file_size: 102976
relation: main_file
file_date_updated: 2021-01-30T12:42:31Z
has_accepted_license: '1'
keyword:
- WSN
- virtualization
- VNE
language:
- iso: eng
oa: '1'
place: Marrakech, Morocco
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
publication: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE
WCNC 2019) (Demo)
status: public
title: A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '15369'
author:
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Müller M, Behnke D, Bök P-B, Peuster M, Schneider SB, Karl H. 5G as Key Technology
for Networked Factories: Application of Vertical-specific Network Services for
Enabling Flexible Smart Manufacturing. In: IEEE 17th International Conference
on Industrial Informatics (IEEE-INDIN). Helsinki: IEEE; 2019.'
apa: 'Müller, M., Behnke, D., Bök, P.-B., Peuster, M., Schneider, S. B., & Karl,
H. (2019). 5G as Key Technology for Networked Factories: Application of Vertical-specific
Network Services for Enabling Flexible Smart Manufacturing. In IEEE 17th International
Conference on Industrial Informatics (IEEE-INDIN). Helsinki: IEEE.'
bibtex: '@inproceedings{Müller_Behnke_Bök_Peuster_Schneider_Karl_2019, place={Helsinki},
title={5G as Key Technology for Networked Factories: Application of Vertical-specific
Network Services for Enabling Flexible Smart Manufacturing}, booktitle={IEEE 17th
International Conference on Industrial Informatics (IEEE-INDIN)}, publisher={IEEE},
author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Peuster,
Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }'
chicago: 'Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Manuel Peuster, Stefan
Balthasar Schneider, and Holger Karl. “5G as Key Technology for Networked Factories:
Application of Vertical-Specific Network Services for Enabling Flexible Smart
Manufacturing.” In IEEE 17th International Conference on Industrial Informatics
(IEEE-INDIN). Helsinki: IEEE, 2019.'
ieee: 'M. Müller, D. Behnke, P.-B. Bök, M. Peuster, S. B. Schneider, and H. Karl,
“5G as Key Technology for Networked Factories: Application of Vertical-specific
Network Services for Enabling Flexible Smart Manufacturing,” in IEEE 17th International
Conference on Industrial Informatics (IEEE-INDIN), 2019.'
mla: 'Müller, Marcel, et al. “5G as Key Technology for Networked Factories: Application
of Vertical-Specific Network Services for Enabling Flexible Smart Manufacturing.”
IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN),
IEEE, 2019.'
short: 'M. Müller, D. Behnke, P.-B. Bök, M. Peuster, S.B. Schneider, H. Karl, in:
IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN), IEEE,
Helsinki, 2019.'
date_created: 2019-12-18T07:27:24Z
date_updated: 2022-01-06T06:52:21Z
department:
- _id: '75'
language:
- iso: eng
place: Helsinki
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN)
publisher: IEEE
status: public
title: '5G as Key Technology for Networked Factories: Application of Vertical-specific
Network Services for Enabling Flexible Smart Manufacturing'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15371'
abstract:
- lang: eng
text: "More and more management and orchestration approaches for (software) networks
are based on machine learning paradigms and solutions. These approaches depend
not only on their program code to operate properly, but also require enough input
data to train their internal models. However, such training data is barely available
for the software networking domain and most presented solutions rely on their
own, sometimes not even published, data sets. This makes it hard, or even infeasible,
to reproduce and compare many of the existing solutions. As a result, it ultimately
slows down the adoption of machine learning approaches in softwarised networks.
To this end, we introduce the \"softwarised network data zoo\" (SNDZoo), an open
collection of software networking data sets aiming to streamline and ease machine
learning research in the software networking domain. We present a general methodology
to collect, archive, and publish those data sets for use by other researches and,
as an example, eight initial data sets, focusing on the performance of virtualised
network functions.\r\n"
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: IEEE/IFIP
15th International Conference on Network and Service Management (CNSM). Halifax:
IEEE/IFIP; 2019.'
apa: 'Peuster, M., Schneider, S. B., & Karl, H. (2019). The Softwarised Network
Data Zoo. In IEEE/IFIP 15th International Conference on Network and Service
Management (CNSM). Halifax: IEEE/IFIP.'
bibtex: '@inproceedings{Peuster_Schneider_Karl_2019, place={Halifax}, title={The
Softwarised Network Data Zoo}, booktitle={IEEE/IFIP 15th International Conference
on Network and Service Management (CNSM)}, publisher={IEEE/IFIP}, author={Peuster,
Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }'
chicago: 'Peuster, Manuel, Stefan Balthasar Schneider, and Holger Karl. “The Softwarised
Network Data Zoo.” In IEEE/IFIP 15th International Conference on Network and
Service Management (CNSM). Halifax: IEEE/IFIP, 2019.'
ieee: M. Peuster, S. B. Schneider, and H. Karl, “The Softwarised Network Data Zoo,”
in IEEE/IFIP 15th International Conference on Network and Service Management
(CNSM), 2019.
mla: Peuster, Manuel, et al. “The Softwarised Network Data Zoo.” IEEE/IFIP 15th
International Conference on Network and Service Management (CNSM), IEEE/IFIP,
2019.
short: 'M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference
on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.'
date_created: 2019-12-18T07:30:45Z
date_updated: 2022-01-06T06:52:21Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:10:23Z
date_updated: 2019-12-18T08:10:23Z
file_id: '15377'
file_name: main_for_ris.pdf
file_size: 515208
relation: main_file
file_date_updated: 2019-12-18T08:10:23Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://dl.ifip.org/db/conf/cnsm/cnsm2019/1570555677.pdf
oa: '1'
place: Halifax
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE/IFIP 15th International Conference on Network and Service Management
(CNSM)
publisher: IEEE/IFIP
status: public
title: The Softwarised Network Data Zoo
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15372'
author:
- first_name: Askhat
full_name: Nuriddinov, Askhat
last_name: Nuriddinov
- first_name: Wouter
full_name: Tavernier, Wouter
last_name: Tavernier
- first_name: Didier
full_name: Colle, Didier
last_name: Colle
- first_name: Mario
full_name: Pickavet, Mario
last_name: Pickavet
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
citation:
ama: 'Nuriddinov A, Tavernier W, Colle D, Pickavet M, Peuster M, Schneider SB. Reproducible
Functional Tests for Multi-scale Network Services. In: IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas:
IEEE; 2019.'
apa: 'Nuriddinov, A., Tavernier, W., Colle, D., Pickavet, M., Peuster, M., &
Schneider, S. B. (2019). Reproducible Functional Tests for Multi-scale Network
Services. In IEEE Conference on Network Function Virtualization and Software
Defined Networks (NFV-SDN). Dallas: IEEE.'
bibtex: '@inproceedings{Nuriddinov_Tavernier_Colle_Pickavet_Peuster_Schneider_2019,
place={Dallas}, title={Reproducible Functional Tests for Multi-scale Network Services},
booktitle={ IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)}, publisher={IEEE}, author={Nuriddinov, Askhat and Tavernier,
Wouter and Colle, Didier and Pickavet, Mario and Peuster, Manuel and Schneider,
Stefan Balthasar}, year={2019} }'
chicago: 'Nuriddinov, Askhat, Wouter Tavernier, Didier Colle, Mario Pickavet, Manuel
Peuster, and Stefan Balthasar Schneider. “Reproducible Functional Tests for Multi-Scale
Network Services.” In IEEE Conference on Network Function Virtualization and
Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.'
ieee: A. Nuriddinov, W. Tavernier, D. Colle, M. Pickavet, M. Peuster, and S. B.
Schneider, “Reproducible Functional Tests for Multi-scale Network Services,” in
IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN), 2019.
mla: Nuriddinov, Askhat, et al. “Reproducible Functional Tests for Multi-Scale Network
Services.” IEEE Conference on Network Function Virtualization and Software
Defined Networks (NFV-SDN), IEEE, 2019.
short: 'A. Nuriddinov, W. Tavernier, D. Colle, M. Pickavet, M. Peuster, S.B. Schneider,
in: IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN), IEEE, Dallas, 2019.'
date_created: 2019-12-18T07:36:04Z
date_updated: 2022-01-06T06:52:21Z
department:
- _id: '75'
language:
- iso: eng
place: Dallas
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: ' IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)'
publisher: IEEE
status: public
title: Reproducible Functional Tests for Multi-scale Network Services
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15373'
abstract:
- lang: eng
text: "Offloading packet processing tasks to programmable switches and/or to programmable
network interfaces, so called “SmartNICs”, is one of the key concepts to prepare
softwarized networks for the high traffic demands of the future. However, implementing
network functions that make use of those offload- ing technologies is still challenging
and usually requires the availability of specialized hardware. It becomes even
harder if heterogeneous services, making use of different offloading and network
virtualization technologies, should be developed.\r\nIn this paper, we introduce
FOP4 (Function Offloading Pro- totyping with P4), a novel prototyping platform
that allows to prototype heterogeneous software network scenarios, including container-based,
P4-switch-based, and SmartNIC-based network functions. The presented work substantially
extends our existing Containernet platform with the means to prototype offloading
scenarios. Besides presenting the platform’s system design, we evaluate its scalability
and show that it can run scenarios with more than 64 P4 switch or SmartNIC nodes
on a single laptop. Finally, we presented a case study in which we use the presented
platform to prototype an extended in-band network telemetry use case."
author:
- first_name: Daniele
full_name: Moro, Daniele
last_name: Moro
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Antonio
full_name: Capone, Antonio
last_name: Capone
citation:
ama: 'Moro D, Peuster M, Karl H, Capone A. FOP4: Function Offloading Prototyping
in Heterogeneous and Programmable Network Scenarios. In: IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas:
IEEE; 2019.'
apa: 'Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). FOP4: Function Offloading
Prototyping in Heterogeneous and Programmable Network Scenarios. In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE.'
bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={FOP4:
Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios},
booktitle={IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)}, publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel
and Karl, Holger and Capone, Antonio}, year={2019} }'
chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “FOP4:
Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios.”
In IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN). Dallas: IEEE, 2019.'
ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “FOP4: Function Offloading Prototyping
in Heterogeneous and Programmable Network Scenarios,” in IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.'
mla: 'Moro, Daniele, et al. “FOP4: Function Offloading Prototyping in Heterogeneous
and Programmable Network Scenarios.” IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN), IEEE, 2019.'
short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
2019.'
date_created: 2019-12-18T07:39:28Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:11:37Z
date_updated: 2019-12-18T08:11:37Z
file_id: '15378'
file_name: main_for_ris.pdf
file_size: 657216
relation: main_file
file_date_updated: 2019-12-18T08:11:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network
Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15374'
abstract:
- lang: eng
text: Emulation platforms supporting Virtual Network Functions (VNFs) allow developers
to rapidly prototype network services. None of the available platforms, however,
supports experimenting with programmable data planes to enable VNF offloading.
In this demonstration, we show FOP4, a flexible platform that provides support
for Docker-based VNFs, and VNF offloading, by means of P4-enabled switches. The
platform provides interfaces to program the P4 devices and to deploy network functions.
We demonstrate FOP4 with two complex example scenarios, demonstrating how developers
can exploit data plane programmability to implement network functions.
author:
- first_name: Daniele
full_name: Moro, Daniele
last_name: Moro
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Antonio
full_name: Capone, Antonio
last_name: Capone
citation:
ama: 'Moro D, Peuster M, Karl H, Capone A. Demonstrating FOP4: A Flexible Platform
to Prototype NFV Offloading Scenarios. In: IEEE Conference on Network Function
Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.'
apa: 'Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). Demonstrating FOP4:
A Flexible Platform to Prototype NFV Offloading Scenarios. In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE.'
bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={Demonstrating
FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios}, booktitle={IEEE
Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},
publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel and Karl, Holger and
Capone, Antonio}, year={2019} }'
chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “Demonstrating
FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios.” In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE, 2019.'
ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “Demonstrating FOP4: A Flexible
Platform to Prototype NFV Offloading Scenarios,” in IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), 2019.'
mla: 'Moro, Daniele, et al. “Demonstrating FOP4: A Flexible Platform to Prototype
NFV Offloading Scenarios.” IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN), IEEE, 2019.'
short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
2019.'
date_created: 2019-12-18T07:41:21Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:12:28Z
date_updated: 2019-12-18T08:12:28Z
file_id: '15379'
file_name: main_for_ris.pdf
file_size: 370456
relation: main_file
file_date_updated: 2019-12-18T08:12:28Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15375'
author:
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Putting NFV
into Reality: Physical Smart Manufacturing Testbed. In: IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas:
IEEE; 2019.'
apa: 'Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl,
H. (2019). Putting NFV into Reality: Physical Smart Manufacturing Testbed. In
IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN). Dallas: IEEE.'
bibtex: '@inproceedings{Müller_Behnke_Bök_Schneider_Peuster_Karl_2019, place={Dallas},
title={Putting NFV into Reality: Physical Smart Manufacturing Testbed}, booktitle={IEEE
Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},
publisher={IEEE}, author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin
and Schneider, Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2019}
}'
chicago: 'Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Stefan Balthasar
Schneider, Manuel Peuster, and Holger Karl. “Putting NFV into Reality: Physical
Smart Manufacturing Testbed.” In IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.'
ieee: 'M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl,
“Putting NFV into Reality: Physical Smart Manufacturing Testbed,” in IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN),
2019.'
mla: 'Müller, Marcel, et al. “Putting NFV into Reality: Physical Smart Manufacturing
Testbed.” IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN), IEEE, 2019.'
short: 'M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in:
IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN), IEEE, Dallas, 2019.'
date_created: 2019-12-18T07:45:20Z
date_updated: 2022-01-06T06:52:22Z
department:
- _id: '75'
language:
- iso: eng
place: Dallas
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'Putting NFV into Reality: Physical Smart Manufacturing Testbed'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15376'
author:
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Behnke D, Müller M, Bök P-B, Schneider SB, Peuster M, Karl H. NFV-driven intrusion
detection for smart manufacturing. In: IEEE Conference on Network Function
Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.'
apa: 'Behnke, D., Müller, M., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl,
H. (2019). NFV-driven intrusion detection for smart manufacturing. In IEEE
Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE.'
bibtex: '@inproceedings{Behnke_Müller_Bök_Schneider_Peuster_Karl_2019, place={Dallas},
title={NFV-driven intrusion detection for smart manufacturing}, booktitle={IEEE
Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},
publisher={IEEE}, author={Behnke, Daniel and Müller, Marcel and Bök, Patrick-Benjamin
and Schneider, Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2019}
}'
chicago: 'Behnke, Daniel, Marcel Müller, Patrick-Benjamin Bök, Stefan Balthasar
Schneider, Manuel Peuster, and Holger Karl. “NFV-Driven Intrusion Detection for
Smart Manufacturing.” In IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.'
ieee: D. Behnke, M. Müller, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl,
“NFV-driven intrusion detection for smart manufacturing,” in IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN),
2019.
mla: Behnke, Daniel, et al. “NFV-Driven Intrusion Detection for Smart Manufacturing.”
IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN), IEEE, 2019.
short: 'D. Behnke, M. Müller, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in:
IEEE Conference on Network Function Virtualization and Software Defined Networks
(NFV-SDN), IEEE, Dallas, 2019.'
date_created: 2019-12-18T07:47:17Z
date_updated: 2022-01-06T06:52:22Z
department:
- _id: '75'
language:
- iso: eng
place: Dallas
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: NFV-driven intrusion detection for smart manufacturing
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15741'
abstract:
- lang: eng
text: "\r\nIn many cyber–physical systems, we encounter the problem of remote state
estimation of geo- graphically distributed and remote physical processes. This
paper studies the scheduling of sensor transmissions to estimate the states of
multiple remote, dynamic processes. Information from the different sensors has
to be transmitted to a central gateway over a wireless network for monitoring
purposes, where typically fewer wireless channels are available than there are
processes to be monitored. For effective estimation at the gateway, the sensors
need to be scheduled appropriately, i.e., at each time instant one needs to decide
which sensors have network access and which ones do not. To address this scheduling
problem, we formulate an associated Markov decision process (MDP). This MDP is
then solved using a Deep Q-Network, a recent deep reinforcement learning algorithm
that is at once scalable and model-free. We compare our scheduling algorithm to
popular scheduling algorithms such as round-robin and reduced-waiting-time, among
others. Our algorithm is shown to significantly outperform these algorithms for
many example scenario"
article_number: '108759'
author:
- first_name: Alex S.
full_name: Leong, Alex S.
last_name: Leong
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning
for wireless sensor scheduling in cyber–physical systems. Automatica. 2019.
doi:10.1016/j.automatica.2019.108759
apa: Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019).
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems.
Automatica. https://doi.org/10.1016/j.automatica.2019.108759
bibtex: '@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems}, DOI={10.1016/j.automatica.2019.108759},
number={108759}, journal={Automatica}, author={Leong, Alex S. and Ramaswamy, Arunselvan
and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}, year={2019} }'
chicago: Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and
Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical
Systems.” Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108759.
ieee: A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems,” Automatica,
2019.
mla: Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling
in Cyber–Physical Systems.” Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.
short: A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
date_created: 2020-01-31T15:55:27Z
date_updated: 2022-01-06T06:52:32Z
ddc:
- '000'
department:
- _id: '7'
- _id: '34'
- _id: '3'
- _id: '75'
- _id: '57'
doi: 10.1016/j.automatica.2019.108759
file:
- access_level: closed
content_type: application/pdf
creator: hkarl
date_created: 2020-01-31T15:57:50Z
date_updated: 2020-01-31T15:57:50Z
file_id: '15743'
file_name: leoram20a.pdf
file_size: '675382'
relation: main_file
success: 1
file_date_updated: 2020-01-31T15:57:50Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '24'
name: Netzgewahre Regelung & regelungsgewahre Netze
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
quality_controlled: '1'
status: public
title: Deep reinforcement learning for wireless sensor scheduling in cyber–physical
systems
type: journal_article
user_id: '126'
year: '2019'
...
---
_id: '13123'
abstract:
- lang: eng
text: Given the recent development in embedded devices, wireless senor nodes are
no longer limited to data collection but they can also do processing (e.g., smartphones).
Accordingly, new types of applications take an advantage of the processing and
flexibility provided by the wireless network. A common property between these
applications is that the processing is not running on only one single node, but
it is broken-down into smaller tasks that can run over multiple nodes, i.e., exploiting
the in-network processing. We study a special variant of in-network processing,
where the application is given by a graph; the processing tasks have predefined
connections to be executed in a predefined sequence. The problem of embedding
an application graph into a network is commonly known as Virtual Network Embedding
(VNE). In this paper, we present a Genetic Algorithm (GA) solution to solve this
wireless VNE problem, where we take into account the interference and multi-cast
properties. We show that the GA has a good performance and fast execution compared
to the optimization problem.
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Konrad
full_name: Horbach, Konrad
last_name: Horbach
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Horbach K, Karl H. A Genetic Algorithm Framework for Solving Wireless
Virtual Network Embedding. In: 2019 International Conference on Wireless and
Mobile Computing, Networking and Communications (WiMob) (WiMob 2019). Barcelona,
Spain; 2019.'
apa: Afifi, H., Horbach, K., & Karl, H. (2019). A Genetic Algorithm Framework
for Solving Wireless Virtual Network Embedding. In 2019 International Conference
on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob
2019). Barcelona, Spain.
bibtex: '@inproceedings{Afifi_Horbach_Karl_2019, place={Barcelona, Spain}, title={A
Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding}, booktitle={2019
International Conference on Wireless and Mobile Computing, Networking and Communications
(WiMob) (WiMob 2019)}, author={Afifi, Haitham and Horbach, Konrad and Karl, Holger},
year={2019} }'
chicago: Afifi, Haitham, Konrad Horbach, and Holger Karl. “A Genetic Algorithm Framework
for Solving Wireless Virtual Network Embedding.” In 2019 International Conference
on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob
2019). Barcelona, Spain, 2019.
ieee: H. Afifi, K. Horbach, and H. Karl, “A Genetic Algorithm Framework for Solving
Wireless Virtual Network Embedding,” in 2019 International Conference on Wireless
and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019),
2019.
mla: Afifi, Haitham, et al. “A Genetic Algorithm Framework for Solving Wireless
Virtual Network Embedding.” 2019 International Conference on Wireless and Mobile
Computing, Networking and Communications (WiMob) (WiMob 2019), 2019.
short: 'H. Afifi, K. Horbach, H. Karl, in: 2019 International Conference on Wireless
and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019), Barcelona,
Spain, 2019.'
date_created: 2019-09-03T11:54:17Z
date_updated: 2022-01-06T06:51:28Z
department:
- _id: '75'
language:
- iso: eng
place: Barcelona, Spain
project:
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2019 International Conference on Wireless and Mobile Computing, Networking
and Communications (WiMob) (WiMob 2019)
status: public
title: A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding
type: conference
user_id: '65718'
year: '2019'
...