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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bhagwat, D. Eshghi, K. Long, D.D.E. Lillibridge, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: University of California, 1156 High Street, Santa Cruz, CA 95064 (Bhagwat, D.) || University of California, 1156 High Street Santa Cruz, CA 95064 (Long, D.D.E.) || Hewlett-Packard Laboratories, 1501 Page Mill Rd, Palo Alto, CA 94304 (Eshghi, K.; Lillibridge, M.) |
| Abstract | Data deduplication is an essential and critical component of backup systems. Essential, because it reduces storage space requirements, and critical, because the performance of the entire backup operation depends on its throughput. Traditional backup workloads consist of large data streams with high locality, which existing deduplication techniques require to provide reasonable throughput. We present Extreme Binning, a scalable deduplication technique for non-traditional backup workloads that are made up of individual files with no locality among consecutive files in a given window of time. Due to lack of locality, existing techniques perform poorly on these workloads. Extreme Binning exploits file similarity instead of locality, and makes only one disk access for chunk lookup per file, which gives reasonable throughput. Multi-node backup systems built with Extreme Binning scale gracefully with the amount of input data; more backup nodes can be added to boost throughput. Each file is allocated using a stateless routing algorithm to only one node, allowing for maximum parallelization, and each backup node is autonomous with no dependency across nodes, making data management tasks robust with low overhead. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 326340 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424449279 |
| ISSN | 15267539 |
| DOI | 10.1109/MASCOT.2009.5366623 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-21 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Intrusion detection Laboratories Milling machines Space technology Routing Robustness Web pages Digital images Electronic mail |
| Content Type | Text |
| Resource Type | Article |
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