Enhancing data availability in disk drives through background activities

Mi, Ningfang; Riska, Alma; Smirni, Evgenia; Riedel, Erik

doi:10.1109/dsn.2008.4630120

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…Third, although a body of research work [25,80,84,85,95] and enterprise storage systems [50,57,58] provide software guidelines to tackle partial faults, such wisdom has not filtered down to commodity distributed storage systems. Our findings provide motivation for distributed systems to build on existing research work to tolerate practical faults other than crashes [17,45,98].…”

Section: Discussionmentioning

confidence: 99%

Redundancy Does Not Imply Fault Tolerance

et al. 2017

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We analyze how modern distributed storage systems behave in the presence of file-system faults such as data corruption and read and write errors. We characterize eight popular distributed storage systems and uncover numerous problems related to file-system fault tolerance. We find that modern distributed systems do not consistently use redundancy to recover from file-system faults: a single file-system fault can cause catastrophic outcomes such as data loss, corruption, and unavailability. We also find that the above outcomes arise due to fundamental problems in file-system fault handling that are common across many systems. Our results have implications for the design of next-generation fault-tolerant distributed and cloud storage systems.

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