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| Content Provider | ACM Digital Library |
|---|---|
| Author | Damouras, Sotirios Schroeder, Bianca Gill, Phillipa |
| Copyright Year | 2010 |
| Abstract | Latent sector errors (LSEs) refer to the situation where particular sectors on a drive become inaccessible. LSEs are a critical factor in data reliability, since a single LSE can lead to data loss when encountered during RAID reconstruction after a disk failure or in systems without redundancy. LSEs happen at a significant rate in the field [Bairavasundaram et al. 2007], and are expected to grow more frequent with new drive technologies and increasing drive capacities. While two approaches, data scrubbing and intra-disk redundancy, have been proposed to reduce data loss due to LSEs, none of these approaches has been evaluated on real field data. This article makes two contributions. We provide an extended statistical analysis of latent sector errors in the field, specifically from the view point of how to protect against LSEs. In addition to providing interesting insights into LSEs, we hope the results (including parameters for models we fit to the data) will help researchers and practitioners without access to data in driving their simulations or analysis of LSEs. Our second contribution is an evaluation of five different scrubbing policies and five different intra-disk redundancy schemes and their potential in protecting against LSEs. Our study includes schemes and policies that have been suggested before, but have never been evaluated on field data, as well as new policies that we propose based on our analysis of LSEs in the field. |
| Starting Page | 1 |
| Ending Page | 23 |
| Page Count | 23 |
| File Format | |
| ISSN | 15533077 |
| e-ISSN | 15533093 |
| DOI | 10.1145/1837915.1837917 |
| Volume Number | 6 |
| Issue Number | 3 |
| Journal | ACM Transactions on Storage (TOS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-09-28 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Latent sector errors Data loss Failure data Failure modeling Field data Parity Redundancy Scrubbing Storage reliability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture |
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