Ghafouri S, Razavi K, Salmani M, et al. IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. Journal of Systems Research (JSys).

Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.

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

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

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

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

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

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

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

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

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

Peuster M, Marchetti M, García de Blas G, Karl H. Automated testing of NFV orchestrators against carrier-grade multi-PoP scenarios using emulation-based smoke testing. EURASIP Journal on Wireless Communications and Networking. 2019. doi:10.1186/s13638-019-1493-2

Dräxler S, Karl H, Mann ZA. JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. IEEE Transactions on Network and Service Management. 2018. doi:10.1109/TNSM.2018.2846572

Dräxler S, Karl H. Specification, Composition, and Placement of Network Services with Flexible Structures. International Journal of Network Management. 2017;(2):1--16. doi:10.1002/nem.1963

Keller M, Karl H. Response-Time-Optimised Service Deployment: MILP Formulations of Piece-wise Linear Functions Approximating Non-linear Bivariate Mixed-integer Functions. IEEE Transactions on Network and Service Management. 2017;(1):121--135. doi:10.1109/TNSM.2016.2611590

Karl H, Dräxler S, Peuster M, et al. DevOps for network function virtualisation: an architectural approach. Transactions on Emerging Telecommunications Technologies. 2016;27(9):1206-1215. doi:10.1002/ett.3084

Wette P, Karl H. DCT<sup>2</sup>Gen: A traffic generator for data centers. Computer Communications. 2016:45--58. doi:10.1016/j.comcom.2015.12.001

Herlich M, Bredenbals N, Karl H. Delayed (de-)activation in servers with a sleep mode. Sustainable Computing: Informatics and Systems. 2016;10:48-55. doi:10.1016/j.suscom.2016.04.002

Künsemöller J, Karl H. A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service. Future Generation Computer Systems. 2014:44--52. doi:10.1016/j.future.2014.03.005

Beister F, Dräxler M, Aelken J, Karl H. Power model design for ICT systems -- A generic approach. Computer Communications. 2014:77--85. doi:10.1016/j.comcom.2014.02.007