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ADuS: Adaptive resource allocation in cluster systems under heavy-tailed and bursty workloads., , , и . ICC, стр. 1214-1218. IEEE, (2012)Automated anomaly detection and performance modeling of enterprise applications., , , , и . ACM Trans. Comput. Syst., 27 (3): 6:1-6:32 (2009)Injecting realistic burstiness to a traditional client-server benchmark., , , и . ICAC, стр. 149-158. ACM, (2009)Efficient resource allocation and power saving in multi-tiered systems., , , , и . WWW, стр. 1069-1070. ACM, (2010)Emulate Processing of Assorted Database Server Applications on Flash-Based Storage in Datacenter Infrastructures., , , и . IPCCC, стр. 1-8. IEEE, (2019)Feasibility regions: exploiting tradeoffs between power and performance in disk drives., , , и . SIGMETRICS Perform. Evaluation Rev., 37 (3): 43-48 (2009)How to parameterize models with bursty workloads., , , и . SIGMETRICS Perform. Evaluation Rev., 36 (2): 38-44 (2008)ArA: Adaptive resource allocation for cloud computing environments under bursty workloads., , , , и . IPCCC, стр. 1-8. IEEE Computer Society, (2011)Improving Virtual Machine Migration via Deduplication., , , , , и . MASS, стр. 702-707. IEEE Computer Society, (2014)eSplash: Efficient speculation in large scale heterogeneous computing systems., , , , и . IPCCC, стр. 1-8. IEEE Computer Society, (2016)