Aging Gracefully with Geriatrix: A File System Aging Suite

نویسندگان

  • Saurabh Kadekodi
  • Vaishnavh Nagarajan
  • Garth A. Gibson
  • Unaged Agrawal Meyer
چکیده

File system aging has been advocated for thorough analysis of any design, but it is cumbersome and often bypassed. Our aging study re-evaluates published file systems after aging using the same benchmarks originally used. We see significant performance degradation on HDDs and SSDs. With performance of aged file systems on SSDs dropping by as much as 80% relative to the recreated results of prior papers, aging is even more necessary in the era of SSDs. Still more concerning, the rank ordering of compared file systems can change versus published results. We offer Geriatrix, a simple-to-use aging suite with built-in aging profiles with the goal of making it easier to age, and harder to justify ignoring file system aging in storage research. Acknowledgements: This research was supported in part by the DOE and Los Alamos National Laboratory, under contract number DEAC52-06NA25396 subcontract 153593-1 (IRHPIT2), the National Science Foundation under awards CNS-1042537 and CNS-1042543 (PRObE, www.nmc-probe.org), and Seagate through the CMU Data Storage Systems Center. We also thank the member companies of the PDL Consortium Broadcom Ltd., Citadel, Dell EMC, Facebook, Google, Hewlett-Packard Labs, Hitachi, Ltd., Intel Corporation, Microsoft Research, MongoDB, NetApp, Inc., Oracle Corporation, Samsung Information Systems America, Seagate Technology, Tintri, Two Sigma, Uber, Veritas and Western Digital.

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تاریخ انتشار 2016