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RDMA is Turing complete, we just did not know it yet!

, , , и . CoRR, (2021)

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Boris Kostic

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Borislav Dejanović

 

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Rein: Taming Tail Latency in Key-Value Stores via Multiget Scheduling., , , , и . EuroSys, стр. 95-110. ACM, (2017)Metron: High-performance NFV Service Chaining Even in the Presence of Blackboxes., , , , и . ACM Trans. Comput. Syst., 38 (1-2): 3:1-3:45 (2020)Self-Organizing Subsets: From Each According to His Abilities, to Each According to His Needs., , , , , и . IPTPS, том 2429 из Lecture Notes in Computer Science, стр. 76-84. Springer, (2002)SNF: synthesizing high performance NFV service chains., , , , и . PeerJ Comput. Sci., (2016)Fast Server Learning Rate Tuning for Coded Federated Dropout., , , и . CoRR, (2022)DejaVu: accelerating resource allocation in virtualized environments., , , , и . ASPLOS, стр. 423-436. ACM, (2012)Stateless CPU-aware datacenter load-balancing., , , и . CoNEXT, стр. 548-549. ACM, (2020)Toward Online Testing of Federated and Heterogeneous Distributed Systems., , , , , и . USENIX Annual Technical Conference, USENIX Association, (2011)OpenFlow Needs You! A Call for a Discussion about a Cleaner OpenFlow API., , и . EWSDN, стр. 44-49. IEEE Computer Society, (2013)Using Random Subsets to Build Scalable Network Services., , , , и . USENIX Symposium on Internet Technologies and Systems, USENIX, (2003)