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Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores., , , and . SoCC, page 150-164. ACM, (2020)Yawn: A CPU Idle-state Governor for Datacenter Applications., , , and . APSys, page 91-98. ACM, (2019)cCluster: A Core Clustering Mechanism for Workload-Aware Virtual Machine Scheduling., , , and . FiCloud, page 248-255. IEEE Computer Society, (2015)ppXen: A hypervisor CPU scheduler for mitigating performance variability in virtualized clouds., , and . Future Gener. Comput. Syst., (2018)Akita: A CPU scheduler for virtualized Clouds., , , , and . CoRR, (2020)A new benchmark harness for systematic and robust evaluation of streaming state stores., , , , and . EuroSys, page 559-574. ACM, (2022)TerrierTail: Mitigating Tail Latency of Cloud Virtual Machines., , , and . IEEE Trans. Parallel Distributed Syst., 29 (10): 2346-2359 (2018)Kani: a QoS-aware hypervisor-level scheduler for cloud computing environments., , , , , and . Clust. Comput., 19 (2): 567-583 (2016)CTS: An operating system CPU scheduler to mitigate tail latency for latency-sensitive multi-threaded applications., , , and . J. Parallel Distributed Comput., (2019)