Distributed gradient-based optimization in the presence of dependent  aperiodic communication
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).

Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).

Practical Network Conditions for the Convergence of Distributed Optimization
A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.

Use What You Know: Network and Service Coordination Beyond Certainty
S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.

Learning Flow Scheduling
A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC), IEEE Computer Society, n.d.

Automating Network Resource Allocation for Coflows with Deadlines
A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines, 2021.

Learning Coflow Admissions
A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.

Distributed Online Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.

Divide and Conquer: Hierarchical Network and Service Coordination
S.B. Schneider, M. Jürgens, H. Karl, in: IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP/IEEE, 2021.

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).

DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.

Conventional and Machine Learning Approaches for Network and Service Coordination
S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.

Every Node for Itself: Fully Distributed Service Coordination
S.B. Schneider, L.D. Klenner, H. Karl, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.

Self-Driving Network and Service Coordination Using Deep Reinforcement Learning
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.

Coflow Scheduling with Performance Guarantees for Data Center Applications
A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.

Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020.

Benchmarking and Profiling 5G Verticals' Applications: An Industrial IoT Use Case
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.

A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices
N. Nomikos, E.T. Michailidis, P. Trakadas, D. Vouyioukas, H. Karl, J. Martrat, T. Zahariadis, K. Papadopoulos, S. Voliotis, Vehicular Communications (2020).

Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey
F. Li, D. Yu, H. Yang, J. Yu, H. Karl, X. Cheng, IEEE Wireless Communications (2020) 24–30.

Cloud-Native Threat Detection and Containment for Smart Manufacturing
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.

A Case for a New IT Ecosystem: On-The-Fly Computing
H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &; Information Systems Engineering 62 (2020) 467–481.

Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets
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.

Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario
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.

Joint testing and profiling of microservice-based network services using TTCN-3
M. Peuster, C. Dröge, C. Boos, H. Karl, ICT Express (2019).

SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures
S. Dräxler, H. Karl, in: 5th IEEE International Conference on Network Softwarization (NetSoft) 2019, n.d.

Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case
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.

A flow handover protocol to support state migration in softwarized networks
M. Peuster, H. Küttner, H. Karl, International Journal of Network Management (2019).

Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO
T. Soenen, W. Tavernier, M. Peuster, F. Vicens, G. Xilouris, S. Kolometsos, M.-A. Kourtis, D. Colle, IEEE Communications Magazine (2019) 89–95.

Introducing Automated Verification and Validation for Virtualized Network Functions and Services
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.

Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding
H. Afifi, H. Karl, in: 2019 16th IEEE Annual Consumer Communications &; Networking Conference (CCN19), IEEE, Las Vegas, n.d.

Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks
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.

An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding
H. Afifi, H. Karl, in: 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19), Paris, France, 2019.

A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO
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.

5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing
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.

The Softwarised Network Data Zoo
M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.

Reproducible Functional Tests for Multi-scale Network Services
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.

FO: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios
D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019.

Demonstrating FO: A Flexible Platform to Prototype NFV Offloading Scenarios
D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019.

Putting NFV into Reality: Physical Smart Manufacturing Testbed
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.

NFV-driven intrusion detection for smart manufacturing
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.

Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).

A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding
H. Afifi, K. Horbach, H. Karl, in: 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019), Barcelona, Spain, 2019.

Scaling, placement, and routing for pliable virtualized composed services
S. Dräxler, Scaling, Placement, and Routing for Pliable Virtualized Composed Services, Universität Paderborn, 2019.

"Producing Cloud-Native": Smart Manufacturing Use Cases on Kubernetes
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.

Automated testing of NFV orchestrators against carrier-grade multi-PoP scenarios using emulation-based smoke testing
M. Peuster, M. Marchetti, G. García de Blas, H. Karl, EURASIP Journal on Wireless Communications and Networking (2019).

MARVELO: Wireless Virtual Network Embedding for Overlay Graphs with Loops
H. Afifi, S. Auroux, H. Karl, in: Proc. of IEEE Wireless Communications and Networking Conference (WCNC), 2018.

Modelling Time-Limited Capacity of a Wireless Channel as aMarkov Reward Process
B. Shiferaw Heyi, H. Karl, in: Proc. of IEEE Wireless Communications and Networking Conference (WCNC), 2018.

Generating Resource and Performance Models for Service Function Chains: The Video Streaming Case
S. Dräxler, M. Peuster, M. Illian, H. Karl, in: 4th IEEE International Conference on Network Softwarization (NetSoft 2018), IEEE, 2018, pp. 318--322.

 Scaling and Placing Bidirectional Services with Stateful Virtual and Physical Network Functions
S. Dräxler, S.B. Schneider, H. Karl, in: 4th IEEE International Conference on Network Softwarization (NetSoft 2018), IEEE, 2018, pp. 123--131.

Towards Predicting Resource Demands and Performance of Distributed Cloud Services
S. Dräxler, M. Peuster, M. Illian, H. Karl, Towards Predicting Resource Demands and Performance of Distributed Cloud Services, Wien, Darmstadt, 2018.