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.

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.

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

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.

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.

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

T. Soenen et al., “Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO,” IEEE Communications Magazine, pp. 89–95, 2019.

M. Peuster et al., “Introducing Automated Verification and Validation for Virtualized Network Functions and Services,” IEEE Communications Magazine, pp. 96–102, 2019.

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 (CCN19).

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.

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.

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.

M. Müller, D. Behnke, P.-B. Bök, M. Peuster, S. B. Schneider, and H. Karl, “G 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.

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.

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.

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

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

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.

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.

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.