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 language | English |
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Title of host publication | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2366-2370 |
Number of pages | 5 |
ISBN (Print) | 9781538647806 |
DOIs | |
Publication status | Published - 2018 Aug 15 |
Event | 2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States Duration: 2018 Jun 17 → 2018 Jun 22 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2018-June |
ISSN (Print) | 2157-8095 |
Conference
Conference | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
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Country/Territory | United States |
City | Vail |
Period | 18/6/17 → 18/6/22 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Modelling and Simulation
- Applied Mathematics