A Class of MSR Codes for Clustered Distributed Storage

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dc.contributor.authorSohn, Jy Yongko
dc.contributor.authorChoi, Beongjunko
dc.contributor.authorMoon, Jaekyunko
dc.date.accessioned2018-12-20T02:12:35Z-
dc.date.available2018-12-20T02:12:35Z-
dc.date.created2018-11-30-
dc.date.created2018-11-30-
dc.date.created2018-11-30-
dc.date.issued2018-06-22-
dc.identifier.citation2018 IEEE International Symposium on Information Theory (ISIT), pp.2366 - 2370-
dc.identifier.urihttp://hdl.handle.net/10203/247453-
dc.description.abstractClustered 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.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleA Class of MSR Codes for Clustered Distributed Storage-
dc.typeConference-
dc.identifier.wosid000448139300475-
dc.identifier.scopusid2-s2.0-85052459258-
dc.type.rimsCONF-
dc.citation.beginningpage2366-
dc.citation.endingpage2370-
dc.citation.publicationname2018 IEEE International Symposium on Information Theory (ISIT)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationTalisa Hotel in Vail, Colorado-
dc.identifier.doi10.1109/ISIT.2018.8437458-
dc.contributor.localauthorMoon, Jaekyun-
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