Ghafouri, S., Razavi, K., Salmani, M., Sanaee, A., Lorido Botran, T., Wang, L., Doyle, J., &; Jamshidi, P. (n.d.). IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. Journal of Systems Research (JSys).
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Liu, G., &; Wang, L. (2024). Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing. IEEE Transactions on Mobile Computing (TMC).https://doi.org/10.1109/TMC.2024.3429636 
LibreCat: /record/55364
DOI: 10.1109/TMC.2024.3429636

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13), 133–138.
LibreCat: /record/32854

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 
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

Nomikos, N., Michailidis, E. T., Trakadas, P., Vouyioukas, D., Karl, H., Martrat, J.,https://doi.org/10.1016/j.vehcom.2020.100250__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 
LibreCat: /record/16278
DOI: 10.1016/j.vehcom.2020.100250

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 
LibreCat: /record/16280
DOI: 10.1109/mwc.001.1900280

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 
LibreCat: /record/13770
DOI: 10.1007/s12599-019-00627-x

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 
LibreCat: /record/8113
DOI: 10.1016/j.icte.2019.02.001

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 
LibreCat: /record/8795
DOI: 10.1002/nem.2067

Soenen, T., Tavernier, W., Peuster, M., Vicens, F., Xilouris, G., Kolometsos, S.,https://doi.org/10.1109/mcom.2019.1800810__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 
LibreCat: /record/9823
DOI: 10.1109/mcom.2019.1800810

Peuster, M., Schneider, S. B., Zhao, M., Xilouris, G., Trakadas, P., Vicens, F.,https://doi.org/10.1109/mcom.2019.1800873__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 
LibreCat: /record/9824
DOI: 10.1109/mcom.2019.1800873

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 
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Peuster, M., Marchetti, M., García de Blas, G., &; Karl, H. (2019). Automated testing of NFV orchestrators against carrier-grade multi-PoP scenarios using emulation-based smoke testing. EURASIP Journal on Wireless Communications and Networking.https://doi.org/10.1186/s13638-019-1493-2 
LibreCat: /record/10325
DOI: 10.1186/s13638-019-1493-2

Dräxler, S., Karl, H., &; Mann, Z. A. (2018). JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. IEEE Transactions on Network and Service Management.https://doi.org/10.1109/TNSM.2018.2846572 
LibreCat: /record/3152
DOI: 10.1109/TNSM.2018.2846572

Dräxler, S., &; Karl, H. (2017). Specification, Composition, and Placement of Network Services with Flexible Structures. International Journal of Network Management, (2), 1--16.https://doi.org/10.1002/nem.1963 
LibreCat: /record/58
DOI: 10.1002/nem.1963

Keller, M., &; Karl, H. (2017). 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, (1), 121--135.https://doi.org/10.1109/TNSM.2016.2611590 
LibreCat: /record/64
DOI: 10.1109/TNSM.2016.2611590

Karl, H., Dräxler, S., Peuster, M., Galis, A., Bredel, M., Ramos, A.,https://doi.org/10.1002/ett.3084__Xilouris, G. (2016). DevOps for network function virtualisation: an architectural approach. Transactions on Emerging Telecommunications Technologies, 27(9), 1206–1215.https://doi.org/10.1002/ett.3084 
LibreCat: /record/714
DOI: 10.1002/ett.3084

Wette, P., &; Karl, H. (2016). DCT<sup>2</sup>Gen: A traffic generator for data centers. Computer Communications, 45--58.https://doi.org/10.1016/j.comcom.2015.12.001 
LibreCat: /record/726
DOI: 10.1016/j.comcom.2015.12.001

Herlich, M., Bredenbals, N., &; Karl, H. (2016). Delayed (de-)activation in servers with a sleep mode. Sustainable Computing: Informatics and Systems, 10, 48–55.https://doi.org/10.1016/j.suscom.2016.04.002 
LibreCat: /record/1373
DOI: 10.1016/j.suscom.2016.04.002

Künsemöller, J., &; Karl, H. (2014). A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service. Future Generation Computer Systems, 44--52.https://doi.org/10.1016/j.future.2014.03.005 
LibreCat: /record/467
DOI: 10.1016/j.future.2014.03.005