A Class of MSR Codes for Clustered Distributed Storage

Jy Yong Sohn, Beongjun Choi, Jaekyun Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Clustered distributed storage models real data centers where intra- and cross-cluster repair bandwidths are different. In this paper, exact-repair minimum-storage-regenerating (MSR) codes achieving capacity of clustered distributed storage are designed. Focus is given on two cases: \epsilon=0 and \epsilon=1/(n-k), where \epsilon is the ratio of the available cross- and intra-cluster repair bandwidths, n is the total number of distributed nodes and k is the number of contact nodes in data retrieval. The former represents the scenario where cross-cluster communication is not allowed, while the latter corresponds to the case of minimum cross-cluster bandwidth allowing minimum storage overhead. For the \epsilon=0 case, two types of locally repairable codes are proven to achieve the MSR point. As for \epsilon=1/(n-k), MDS codes achieve the MSR points for n=Lk, where L is the number of clusters.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2366-2370
Number of pages5
ISBN (Print)9781538647806
DOIs
Publication statusPublished - 2018 Aug 15
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: 2018 Jun 172018 Jun 22

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-June
ISSN (Print)2157-8095

Conference

Conference2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/TerritoryUnited States
CityVail
Period18/6/1718/6/22

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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