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Feasibility regions: exploiting tradeoffs between power and performance in disk drives.

, , , and . SIGMETRICS Performance Evaluation Review, 37 (3): 43-48 (2009)

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DICE: Quality-Driven Development of Data-Intensive Cloud Applications., , , , , , , , , and 6 other author(s). MiSE@ICSE, page 78-83. IEEE Computer Society, (2015)ASIdE: Using Autocorrelation-Based Size Estimation for Scheduling Bursty Workloads., , and . IEEE Trans. Network and Service Management, 9 (2): 198-212 (2012)DICE: Quality-Driven Development of Data-Intensive Cloud Applications., , , , , , , , , and 6 other author(s). MiSE@ICSE, page 78-83. IEEE Computer Society, (2015)Automatic Stress Testing of Multi-tier Systems by Dynamic Bottleneck Switch Generation., , , and . Middleware, volume 5896 of Lecture Notes in Computer Science, page 393-413. Springer, (2009)MAP-AMVA: Approximate mean value analysis of bursty systems., and . DSN, page 409-418. IEEE Computer Society, (2009)Scheduling for performance and availability in systems with temporal dependent workloads., , and . DSN, page 336-345. IEEE Computer Society, (2008)LibReDE: a library for resource demand estimation., , , and . ICPE, page 227-228. ACM, (2014)SLA-driven planning and optimization of enterprise applications., , and . WOSP/SIPEW, page 117-128. ACM, (2010)IO performance prediction in consolidated virtualized environments., , , , and . ICPE, page 295-306. ACM, (2011)Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications., , , , and . QEST, volume 10503 of Lecture Notes in Computer Science, page 295-299. Springer, (2017)