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Self-Organizing Subsets: From Each According to His Abilities, to Each According to His Needs., , , , , and . IPTPS, volume 2429 of Lecture Notes in Computer Science, page 76-84. Springer, (2002)Metron: High-performance NFV Service Chaining Even in the Presence of Blackboxes., , , , and . ACM Trans. Comput. Syst., 38 (1-2): 3:1-3:45 (2020)SNF: synthesizing high performance NFV service chains., , , , and . PeerJ Comput. Sci., (2016)Rein: Taming Tail Latency in Key-Value Stores via Multiget Scheduling., , , , and . EuroSys, page 95-110. ACM, (2017)Fast Server Learning Rate Tuning for Coded Federated Dropout., , , and . CoRR, (2022)Fault prediction in distributed systems gone wild., , , and . LADIS, page 7-11. ACM, (2010)Toward Online Testing of Federated and Heterogeneous Distributed Systems., , , , , and . USENIX Annual Technical Conference, USENIX Association, (2011)Stateless CPU-aware datacenter load-balancing., , , and . CoNEXT, page 548-549. ACM, (2020)DejaVu: accelerating resource allocation in virtualized environments., , , , and . ASPLOS, page 423-436. ACM, (2012)Using Random Subsets to Build Scalable Network Services., , , , and . USENIX Symposium on Internet Technologies and Systems, USENIX, (2003)