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Dynamic Function Placement for Data-Intensive Cluster Computing.

, , , and . USENIX Annual Technical Conference, General Track, page 307-322. USENIX, (2000)

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Using System-Level Models to Evaluate I/O Subsystem Designs., and . IEEE Trans. Computers, 47 (6): 667-678 (1998)Operating System Management of MEMS-based Storage Devices., , , and . OSDI, page 227-242. USENIX Association, (2000)On Multidimensional Data and Modern Disks., , , , , , and . FAST, USENIX, (2005)Ursa Minor: Versatile Cluster-based Storage., , , , , , , , , and 5 other author(s). FAST, USENIX, (2005)Exertion-based Billing for Cloud Storage Access., , , and . HotCloud, USENIX Association, (2011)More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server., , , , , , , , and . NIPS, page 1223-1231. (2013)MultiMap: Preserving disk locality for multidimensional datasets., , , , , and . ICDE, page 926-935. IEEE Computer Society, (2007)GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server., , , , and . EuroSys, page 4:1-4:16. ACM, (2016)Visualizing Request-Flow Comparison to Aid Performance Diagnosis in Distributed Systems., , , and . IEEE Trans. Vis. Comput. Graph., 19 (12): 2466-2475 (2013)Cluster storage systems gotta have HeART: improving storage efficiency by exploiting disk-reliability heterogeneity., , and . FAST, page 345-358. USENIX Association, (2019)