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Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning.

, , , , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)

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Enabling Practical Cloud Performance Debugging with Unsupervised Learning., , , , and . ACM SIGOPS Oper. Syst. Rev., 56 (1): 34-41 (2022)Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems., , , , , , , , , and 14 other author(s). IEEE Micro, 40 (3): 10-19 (2020)Leveraging ML to handle the increasing complexity of the cloud.. CF, page 2. ACM, (2021)HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms., , , , , , and . CoRR, (2020)Cross-Examination of Datacenter Workload Modeling Techniques., and . ICDCS Workshops, page 72-79. IEEE Computer Society, (2011)Quasar: resource-efficient and QoS-aware cluster management., and . ASPLOS, page 127-144. ACM, (2014)Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices., , , , , , and . ASPLOS, page 19-33. ACM, (2019)An Open-Source Benchmark Suite for Cloud and IoT Microservices., , , , , , , , , and 14 other author(s). CoRR, (2019)Mystique: Accurate and Scalable Production AI Benchmarks Generation., , , , , , and . CoRR, (2023)AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows., , and . ASPLOS (1), page 1-14. ACM, (2023)