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A Tutorial Workshop on ML for Systems and Systems for ML.

, , and . BTW, volume P-331 of LNI, page 707-708. Gesellschaft für Informatik e.V., (2023)

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CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems., , , , , , , and . PerCom Workshops, page 590-595. IEEE, (2019)INetCEP: In-Network Complex Event Processing for Information-Centric Networking., , , , , , and . CoRR, (2020)Zero-Shot Cost Models for Parallel Stream Processing., , , and . aiDM@SIGMOD, page 5:1-5:5. ACM, (2023)FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees., , , , and . RTAS, page 146-159. IEEE, (2022)COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments., , , and . CoRR, (2024)Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications., , , and . EDBT, page 412-425. OpenProceedings.org, (2024)Understanding the Behavior of Operator Placement Mechanisms on Large-Scale Networks., , and . Middleware (Posters), page 19-20. ACM, (2018)Network-centric Complex Event Processing.. Technical University of Darmstadt, Germany, (2021)Efficient Complex Event Processing in Information-centric Networking at the Edge., , , , , , and . CoRR, (2020)Distributed GPU Joins on Fast RDMA-capable Networks., , , , and . Proc. ACM Manag. Data, 1 (1): 29:1-29:26 (2023)