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The Tail at Store: A Revelation from Millions of Hours of Disk and SSD Deployments.

, , , , and . FAST, page 263-276. USENIX Association, (2016)

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High Performance Virtual Machines (HPVM'S): Clusters with Supercomputing API's and Performance., , , , , , and . PPSC, SIAM, (1997)Towards Understanding Post-recovery Efficiency for Shrinking and Non-shrinking Recovery., , and . Euro-Par Workshops, volume 9523 of Lecture Notes in Computer Science, page 656-668. Springer, (2015)The GrADS Project: Software Support for High-Level Grid Application Development., , , , , , , , , and 3 other author(s). Int. J. High Perform. Comput. Appl., 15 (4): 327-344 (2001)MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS Interface., , , , , , , and . SOSP, page 168-183. ACM, (2017)Cracks in open collaboration in universities.. Commun. ACM, 63 (1): 5 (2020)Reducing Datacenter Operational Carbon Emissions Effectively by Cooperating with the Grid., and . CoRR, (2023)An Evaluation of Automatic Object Inline Allocation Techniques., and . OOPSLA, page 1-20. ACM, (1998)SIGPLAN Notices 33(10).An automatic object inlining optimization and its evaluation., and . PLDI, page 345-357. ACM, (2000)Risk-Aware Scheduling Algorithms for Variable Capacity Resources., , , , , and . SC Workshops, page 1306-1315. ACM, (2023)Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis., , , and . PMBS@SC, volume 10724 of Lecture Notes in Computer Science, page 158-178. Springer, (2017)