Maack, M. (2023). Online load balancing on uniform machines with limited migration. Operations Research Letters, 51(3), 220–225.https://doi.org/10.1016/j.orl.2023.02.013 
LibreCat: /record/44077
DOI: 10.1016/j.orl.2023.02.013

Karl, H., Maack, M., Meyer auf der Heide, F., Pukrop, S., &; Redder, A. (2023). On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 183–202). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068664 
LibreCat: /record/45895
DOI: 10.5281/zenodo.8068664

Maack, M., Meyer auf der Heide, F., &; Pukrop, S. (2023). Server Cloud Scheduling. Algorithmica.https://doi.org/10.1007/s00453-023-01189-x 
LibreCat: /record/50458
DOI: 10.1007/s00453-023-01189-x

Deppert, M. A., Jansen, K., Maack, M., Pukrop, S., &; Rau, M. (2023). Scheduling with Many Shared Resources. 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps54959.2023.00049 
LibreCat: /record/50460
DOI: 10.1109/ipdps54959.2023.00049

Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., &; Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1797 
LibreCat: /record/45863
DOI: 10.17619/UNIPB/1-1797

Schneider, S. B., Werner, S., Khalili, R., Hecker, A., &; Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.
LibreCat: /record/30236

Epstein, L., Lassota, A., Levin, A., Maack, M., &; Rohwedder, L. (2022). Cardinality Constrained Scheduling in Online Models. In P. Berenbrink &; B. Monmege (Eds.), 39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference) (Vol. 219, p. 28:1–28:15). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.STACS.2022.28 
LibreCat: /record/33085
DOI: 10.4230/LIPIcs.STACS.2022.28

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law. Proceedings of the 58th Allerton Conference on Communication, Control, and Computing. 58th Allerton Conference on Communication, Control, and Computing.
LibreCat: /record/32811

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. Proceedings of the 14th International Conference on Agents and Artificial Intelligence.https://doi.org/10.5220/0010845400003116 
LibreCat: /record/30793
DOI: 10.5220/0010845400003116

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Distributed gradient-based optimization in the presence of dependent  aperiodic communication. In arXiv:2201.11343.
LibreCat: /record/30790
arXiv: 2201.11343

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.
LibreCat: /record/30791
arXiv: 2201.00570

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

Maack, M., Pukrop, S., &; Rasmussen, A. R. (2022). (In-)Approximability Results for Interval, Resource Restricted, and Low Rank Scheduling. In S. Chechik, G. Navarro, E. Rotenberg, &; G. Herman (Eds.), 30th Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany (Vol. 244, p. 77:1–77:13). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ESA.2022.77 
LibreCat: /record/33491
DOI: 10.4230/LIPIcs.ESA.2022.77

Werner, S., Schneider, S. B., &; Karl, H. (2022). Use What You Know: Network and Service Coordination Beyond Certainty. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.
LibreCat: /record/29220

Maack, M., Meyer auf der Heide, F., &; Pukrop, S. (2022). Server Cloud Scheduling. In Approximation and Online Algorithms. Springer International Publishing.https://doi.org/10.1007/978-3-030-92702-8_10 
LibreCat: /record/29872
DOI: 10.1007/978-3-030-92702-8_10

Hasnain, A., &; Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC). Las Vegas, USA: IEEE Computer Society.https://doi.org/10.1109/CCNC49032.2021.9369514 
LibreCat: /record/20125
DOI: https://doi.org/10.1109/CCNC49032.2021.9369514

Hasnain, A., &; Karl, H. (n.d.). Learning Coflow Admissions. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Vancouver BC Canada: IEEE Communications Society.https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599 
LibreCat: /record/21005
DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484599

Schneider, S. B., Qarawlus, H., &; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.
LibreCat: /record/21543

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.
LibreCat: /record/20693

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