NDLI: Practical self-repairing codes for distributed storage

Content Provider	IEEE Xplore Digital Library
Author	Hanxu Hou Hui Li
Copyright Year	2012
Description	Author affiliation: Shenzhen Key Lab of Cloud Computing Technology and Application, Shenzhen Graduate School, Peking University, China (Hanxu Hou; Hui Li)
Abstract	In distributed storage systems, projective geometric self-repairing codes (PSRC) are able to provide a repair mechanism, which can repair a failed node with only two nodes. However, the redundancy of PSRC is extremely large, which makes PSRC unpractical for distributed storage systems. In this paper, we propose a new family of self-repairing codes called practical projective geometric self-repairing codes (PPSRC), which is a generalization of PSRC. PPSRC allow tradeoff between the coding rate and self-repairing capacity, while possess the basic property of PSRC. In addition, we provide an evolutionary repairing process for PPSRC, of which the repairing bandwidth is less than both the repairing process in [5] and that of the minimal storage repair codes (MSR) [3]. Furthermore, we present the general reconstruction process of PPSRC and the reconstruction process is optimal in terms of downloading bandwidth. Finally, we demonstrate PPSRC surpass the existing erasure coding strategies in terms of complexity, repairing nodes, repairing bandwidth and self-repairing capacity, which makes the PPSRC very attractive for distributed storage systems.
Starting Page	76
Ending Page	81
File Size	538029
Page Count	6
File Format	PDF
ISBN	9781467329033
e-ISBN	9781467329040
e-ISBN	9781467329026
DOI	10.1109/APCloudCC.2012.6486516
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coding rate Self-repairing codes Self-repairing capacity Distributed storage Complexity
Content Type	Text
Resource Type	Article

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