Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Distributed Exact Deduplication for Primary Storage Infrastructures

Abstract : Deduplication of primary storage volumes in a cloud computing environment is increasingly desirable, as the resulting space savings contribute to the cost effectiveness of a large scale multi-tenant infrastructure. However, traditional archival and backup deduplication systems impose prohibitive overhead for latency-sensitive applications deployed at these infrastructures while, current primary deduplication systems rely on special cluster filesystems, centralized components, or restrictive workload assumptions.We present DEDIS, a fully-distributed and dependable system that performs exact and cluster-wide background deduplication of primary storage. DEDIS does not depend on data locality and works on top of any unsophisticated storage backend, centralized or distributed, that exports a basic shared block device interface. The evaluation of an open-source prototype shows that DEDIS scales out and adds negligible overhead even when deduplication and intensive storage I/O run simultaneously.
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, March 14, 2016 - 10:49:04 AM
Last modification on : Monday, December 13, 2021 - 4:02:02 PM
Long-term archiving on: : Sunday, November 13, 2016 - 5:48:41 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



João Paulo, José Pereira. Distributed Exact Deduplication for Primary Storage Infrastructures. 4th International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2014, Berlin, Germany. pp.52-66, ⟨10.1007/978-3-662-43352-2_5⟩. ⟨hal-01287732⟩



Record views


Files downloads