Who's Afraid of Uncorrectable Bit Errors? Online Recovery of Flash Errors with Distributed Redundancy

Authors: 

Amy Tai, Princeton University and VMware Research; Andrew Kryczka and Shobhit O. Kanaujia, Facebook; Kyle Jamieson and Michael J. Freedman, Princeton University; Asaf Cidon, Columbia University

Abstract: 

Due to its high performance and decreasing cost per bit, flash storage is the main storage medium in datacenters for hot data. However, flash endurance is a perpetual problem, and due to technology trends, subsequent generations of flash devices exhibit progressively shorter lifetimes before they experience uncorrectable bit errors. In this paper, we propose addressing the flash lifetime problem by allowing devices to expose higher bit error rates. We present DIRECT, a set of techniques that harnesses distributed-level redundancy to enable the adoption of new generations of denser and less reliable flash storage technologies. DIRECT does so by using an end-to-end approach to increase the reliability of distributed storage systems.

We implemented DIRECT on two real-world storage systems: ZippyDB, a distributed key-value store in production at Facebook and backed by RocksDB, and HDFS, a distributed file system. When tested on production traces at Facebook, DIRECT reduces application-visible error rates in ZippyDB by more than 100x and recovery time by more than 10,000x. DIRECT also allows HDFS to tolerate a 10,000--100,000x higher bit error rate without experiencing application-visible errors. By significantly increasing the availability and durability of distributed storage systems in the face of bit errors, DIRECT helps extend flash lifetimes.

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BibTeX
@inproceedings {234980,
author = {Amy Tai and Andrew Kryczka and Shobhit O. Kanaujia and Kyle Jamieson and Michael J. Freedman and Asaf Cidon},
title = {Who{\textquoteright}s Afraid of Uncorrectable Bit Errors? Online Recovery of Flash Errors with Distributed Redundancy},
booktitle = {2019 {USENIX} Annual Technical Conference ({USENIX} {ATC} 19)},
year = {2019},
isbn = {978-1-939133-03-8},
address = {Renton, WA},
pages = {977--992},
url = {https://www.usenix.org/conference/atc19/presentation/tai},
publisher = {{USENIX} Association},
}