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Proteus: agile ML elasticity through tiered reliability in dynamic resource markets.

, , , , and . EuroSys, page 589-604. ACM, (2017)

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Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud., , and . SYSTOR, page 22-34. ACM, (2023)Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds., , , , , , and . NSDI, page 629-647. USENIX Association, (2017)Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning., , , , , , , and . OSDI, USENIX Association, (2021)PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy., , , , , and . OSDI, page 369-385. USENIX Association, (2020)The CacheLib Caching Engine: Design and Experiences at Scale., , , , , , , , , and 1 other author(s). OSDI, page 753-768. USENIX Association, (2020)More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server., , , , , , , , and . NIPS, page 1223-1231. (2013)3Sigma: distribution-based cluster scheduling for runtime uncertainty., , , , and . EuroSys, page 2:1-2:17. ACM, (2018)File system virtual appliances: Portable file system implementations., , , , , , and . ACM Trans. Storage, 8 (3): 9:1-9:26 (2012)Managed communication and consistency for fast data-parallel iterative analytics., , , , , , , , and . SoCC, page 381-394. ACM, (2015)Using data transformations for low-latency time series analysis., , , , and . SoCC, page 395-407. ACM, (2015)