Ecole d'ingénieur et centre de recherche en Sciences du numérique

Adaptive redundancy management for durable P2P backup

Dell'Amico, Matteo; Michiardi, Pietro; Toka, Laszlo; Cataldi, Pasquale

Computer Networks, March 2015, Elsevier

We design and analyze the performance of a redundancy management mechanism for peer-to-peer backup applications. Armed with the realization that a backup system has peculiar requirements - namely, data is read over the network only during restore processes caused by data loss - redundancy management targets data durability, i.e. guaranteeing that data is not lost, rather than attempting to make each piece of information available at any time. In our approach each peer determines, in an on-line manner, an amount of redundancy sufficient to counter the effects of peer deaths, while preserving acceptable data restore times. Our experiments, based on trace-driven simulations, indicate that our mechanism can reduce the redundancy by a factor between two and three with respect to redundancy policies aiming for data availability. These results imply an according increase in storage capacity and decrease in time to complete backups, at the expense of longer times required to restore data. We believe this is a very reasonable price to pay, given the nature of the application. We complete our work with a discussion on practical issues, and their solutions, related to which encoding technique is more suitable to support our scheme.

Document Doi Arxiv Bibtex

Titre:Adaptive redundancy management for durable P2P backup
Mots Clés:P2P; Backup; Storage; Redundancy
Département:Data Science
Eurecom ref:4524
Copyright: © Elsevier. Personal use of this material is permitted. The definitive version of this paper was published in Computer Networks, March 2015, Elsevier and is available at :
Bibtex: @article{EURECOM+4524, doi = {}, year = {2015}, month = {03}, title = {{A}daptive redundancy management for durable {P}2{P} backup}, author = {{D}ell'{A}mico, {M}atteo and {M}ichiardi, {P}ietro and {T}oka, {L}aszlo and {C}ataldi, {P}asquale}, journal = {{C}omputer {N}etworks, {M}arch 2015, {E}lsevier}, url = {} }
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