2009 Workshop on Network Coding, Theory, and Applications 2009
DOI: 10.1109/netcod.2009.5191399
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Distributed storage allocation problems

Abstract: 86Abstract -We investigate the problem of using several storage nodes to store a data object, subject to an aggregate storage budget or redundancy constraint. It is challenging to find the optimal allocation that maximizes the probability of successful recovery by the data collector because of the large space of possible symmetric and nonsymmetric allocations, and the nonconvexity of the problem. For the special case of probability-l recovery, we show that the optimal allocation that minimizes the required bud… Show more

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Cited by 21 publications
(33 citation statements)
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References 12 publications
(4 reference statements)
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“…This method considers the probability of failure for all storage nodes to be the same. The essence of this method is consistent with the methods in the literature [4]. The author proves that the method is optimal only if the premise of the same node-failure probability is met.…”
Section: Related Worksupporting
confidence: 72%
See 3 more Smart Citations
“…This method considers the probability of failure for all storage nodes to be the same. The essence of this method is consistent with the methods in the literature [4]. The author proves that the method is optimal only if the premise of the same node-failure probability is met.…”
Section: Related Worksupporting
confidence: 72%
“…However, research into the distribution of code blocks is less common. The traditional method [4] [7] is to assign one code block per storage node.…”
Section: Related Workmentioning
confidence: 99%
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“…A survey of network coding and distributed storage systems can be found in [13]. Some problems of distributed storage systems, like storage allocations, are addressed in [11,12]. However, our problem differs from that of the distributed storage systems in the sense that our proposal does not aim to provide data reliability in case of node failure, but to allow all involved nodes to acquire local access to the complete dataset at any given time.…”
Section: Introductionmentioning
confidence: 99%