---
_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: '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: '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: '15368'
abstract:
- lang: eng
text: Service Level Agreements are essential tools enabling clients and telco operators
to specify required quality of service. The 5GTANGO NFV platform enables SLAs
through policies and custom service lifecycle management components. This allows
the operator to trigger certain lifecycle management events for a service, and
the network service developer to define how to execute such events (e.g., how
to scale). In this demo we will demonstrate this unique 5GTANGO concept using
an elastic proxy service supported by a high availability SLA enforced through
a range of traffic regimes.
author:
- first_name: Thomas
full_name: Soenen, Thomas
last_name: Soenen
- first_name: Felipe
full_name: Vicens, Felipe
last_name: Vicens
- first_name: José
full_name: Bonnet, José
last_name: Bonnet
- first_name: Carlos
full_name: Parada, Carlos
last_name: Parada
- first_name: Evgenia
full_name: Kapassa, Evgenia
last_name: Kapassa
- first_name: Marious
full_name: Touloupou, Marious
last_name: Touloupou
- first_name: Eleni
full_name: Fotopulou, Eleni
last_name: Fotopulou
- first_name: Anastasios
full_name: Zafeiropoulos, Anastasios
last_name: Zafeiropoulos
- first_name: Ana
full_name: Pol, Ana
last_name: Pol
- first_name: Stavros
full_name: Kolometsos, Stavros
last_name: Kolometsos
- first_name: George
full_name: Xilouris, George
last_name: Xilouris
- first_name: Pol
full_name: Alemany, Pol
last_name: Alemany
- first_name: Ricard
full_name: Vilalta, Ricard
last_name: Vilalta
- first_name: Panos
full_name: Trakadas, Panos
last_name: Trakadas
- first_name: Panos
full_name: Karkazis, Panos
last_name: Karkazis
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Wouter
full_name: Tavernier, Wouter
last_name: Tavernier
citation:
ama: 'Soenen T, Vicens F, Bonnet J, et al. SLA-controlled Proxy Service Through
Customisable MANO Supporting Operator Policies. In: 2019 IFIP/IEEE Symposium
on Integrated Network and Service Management (IM). ; 2019:707-708.'
apa: Soenen, T., Vicens, F., Bonnet, J., Parada, C., Kapassa, E., Touloupou, M.,
… Tavernier, W. (2019). SLA-controlled Proxy Service Through Customisable MANO
Supporting Operator Policies. In 2019 IFIP/IEEE Symposium on Integrated Network
and Service Management (IM) (pp. 707–708). Arlington, VA, USA, USA.
bibtex: '@inproceedings{Soenen_Vicens_Bonnet_Parada_Kapassa_Touloupou_Fotopulou_Zafeiropoulos_Pol_Kolometsos_et
al._2019, title={SLA-controlled Proxy Service Through Customisable MANO Supporting
Operator Policies}, booktitle={2019 IFIP/IEEE Symposium on Integrated Network
and Service Management (IM)}, author={Soenen, Thomas and Vicens, Felipe and Bonnet,
José and Parada, Carlos and Kapassa, Evgenia and Touloupou, Marious and Fotopulou,
Eleni and Zafeiropoulos, Anastasios and Pol, Ana and Kolometsos, Stavros and et
al.}, year={2019}, pages={707–708} }'
chicago: Soenen, Thomas, Felipe Vicens, José Bonnet, Carlos Parada, Evgenia Kapassa,
Marious Touloupou, Eleni Fotopulou, et al. “SLA-Controlled Proxy Service Through
Customisable MANO Supporting Operator Policies.” In 2019 IFIP/IEEE Symposium
on Integrated Network and Service Management (IM), 707–8, 2019.
ieee: T. Soenen et al., “SLA-controlled Proxy Service Through Customisable
MANO Supporting Operator Policies,” in 2019 IFIP/IEEE Symposium on Integrated
Network and Service Management (IM), Arlington, VA, USA, USA, 2019, pp. 707–708.
mla: Soenen, Thomas, et al. “SLA-Controlled Proxy Service Through Customisable MANO
Supporting Operator Policies.” 2019 IFIP/IEEE Symposium on Integrated Network
and Service Management (IM), 2019, pp. 707–08.
short: 'T. Soenen, F. Vicens, J. Bonnet, C. Parada, E. Kapassa, M. Touloupou, E.
Fotopulou, A. Zafeiropoulos, A. Pol, S. Kolometsos, G. Xilouris, P. Alemany, R.
Vilalta, P. Trakadas, P. Karkazis, M. Peuster, W. Tavernier, in: 2019 IFIP/IEEE
Symposium on Integrated Network and Service Management (IM), 2019, pp. 707–708.'
conference:
location: Arlington, VA, USA, USA
name: IFIP/IEEE Symposium on Integrated Network and Service Management (IM)
date_created: 2019-12-18T06:54:18Z
date_updated: 2022-01-06T06:52:21Z
keyword:
- 5G mobile communication
- contracts
- quality of service
- telecommunication traffic
- virtualisation
- custom service lifecycle management components
- lifecycle management events
- network service developer
- elastic proxy service
- SLA-controlled proxy service
- customisable MANO
- operator policies
- Service Level Agreements
- unique 5G TANGO concept
- 5G TANGO NFV platform
- quality of service
- traffic regimes
- high availability SLA
- Monitoring
- Probes
- Portals
- Quality of service
- Tools
- Servers
- Graphical user interfaces
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/8717922
page: 707-708
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: 2019 IFIP/IEEE Symposium on Integrated Network and Service Management
(IM)
publication_identifier:
issn:
- 1573-0077
status: public
title: SLA-controlled Proxy Service Through Customisable MANO Supporting Operator
Policies
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '13292'
abstract:
- lang: eng
text: "Building on 5G and network function virtualization (NFV), smart manufacturing
has the potential to drastically increase productivity, reduce cost, and introduce
novel, flexible manufacturing services. Current work mostly focuses on high-level
scenarios or emulation-based prototype deployments. \r\n\r\nExtending our previous
work, we showcase one of the first cloud-native 5G verticals focusing on the deployment
of smart manufacturing use cases on production infrastructure. In particular,
we use the 5GTANGO service platform to deploy our developed network services on
Kubernetes. For this demo, we implemented a series of cloud-native virtualized
network functions (VNFs) and created suitable service descriptors. Their light-weight,
stateless deployment on Kubernetes enables quick instantiation, scalability, and
robustness."
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: Kai
full_name: Hannemann, Kai
last_name: Hannemann
- 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: 'Schneider SB, Peuster M, Hannemann K, et al. “Producing Cloud-Native”: Smart
Manufacturing Use Cases on Kubernetes. In: IEEE Conference on Network Function
Virtualization and Software Defined Networks (NFV-SDN) Demo Track. Dallas,
TX, USA: IEEE; 2019.'
apa: 'Schneider, S. B., Peuster, M., Hannemann, K., Behnke, D., Müller, M., Bök,
P.-B., & Karl, H. (2019). “Producing Cloud-Native”: Smart Manufacturing Use
Cases on Kubernetes. In IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN) Demo Track. Dallas, TX, USA: IEEE.'
bibtex: '@inproceedings{Schneider_Peuster_Hannemann_Behnke_Müller_Bök_Karl_2019,
place={Dallas, TX, USA}, title={“Producing Cloud-Native”: Smart Manufacturing
Use Cases on Kubernetes}, booktitle={IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN) Demo Track}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Peuster, Manuel and Hannemann, Kai and Behnke, Daniel and
Müller, Marcel and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }'
chicago: 'Schneider, Stefan Balthasar, Manuel Peuster, Kai Hannemann, Daniel Behnke,
Marcel Müller, Patrick-Benjamin Bök, and Holger Karl. “‘Producing Cloud-Native’:
Smart Manufacturing Use Cases on Kubernetes.” In IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track.
Dallas, TX, USA: IEEE, 2019.'
ieee: 'S. B. Schneider et al., “‘Producing Cloud-Native’: Smart Manufacturing
Use Cases on Kubernetes,” in IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN) Demo Track, Dallas, TX, USA, 2019.'
mla: 'Schneider, Stefan Balthasar, et al. “‘Producing Cloud-Native’: Smart Manufacturing
Use Cases on Kubernetes.” IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN) Demo Track, IEEE, 2019.'
short: 'S.B. Schneider, M. Peuster, K. Hannemann, D. Behnke, M. Müller, P.-B. Bök,
H. Karl, in: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN) Demo Track, IEEE, Dallas, TX, USA, 2019.'
conference:
location: Dallas, TX, USA
name: 2019 IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN) Demo Track
date_created: 2019-09-19T07:17:46Z
date_updated: 2022-01-06T06:51:32Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2019-09-19T07:17:41Z
date_updated: 2019-09-19T07:17:41Z
file_id: '13293'
file_name: preprint_ris.pdf
file_size: 182136
relation: main_file
file_date_updated: 2019-09-19T07:17:41Z
has_accepted_license: '1'
keyword:
- 5G
- NFV
- Smart Manufacturing
- Cloud-Native
- Kubernetes
language:
- iso: eng
oa: '1'
place: Dallas, TX, USA
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 Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN) Demo Track
publisher: IEEE
status: public
title: '"Producing Cloud-Native": Smart Manufacturing Use Cases on Kubernetes'
type: conference
user_id: '35343'
year: '2019'
...