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Hu H, Liu F, Pei Q, Yuan Y, Xu Z, Wang L. 706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. In: Proceedings of the ACM Web Conference (WWW). ACM; 2024.

Razavi K, Ghafouri S, Mühlhäuser M, Jamshidi P, Wang L. Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. In: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. ACM; 2024.

Liu G, Nigade V, Bal H, Wang L. A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT. In: Proceedings of the 8th ACM Asia Pacific Workshop on Networking (APNET). ; 2024.

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

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

Redder A, Ramaswamy A, Karl H. Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications; 2022. doi:10.5220/0010845400003116

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

Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC). IEEE Computer Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514

Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599

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

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

Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed Service Coordination. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.

Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.

Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010

Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference on Network Softwarization (NetSoft). IEEE; 2020.

Zafeiropoulos A, Fotopoulou E, Peuster M, et al. Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case. In: IEEE Conference on Network Softwarization (NetSoft). ; 2020.

Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Cloud-Native Threat Detection and Containment for Smart Manufacturing. In: IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE; 2020.

Schneider SB, Sharma A, Karl H, Wehrheim H. Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM). Washington, DC, USA: IFIP; 2019:116--124.