Probability-Symmetric Storage Allocation for Distributed Storage Systems based on Network Coding.

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Bibliographic Details
Title: Probability-Symmetric Storage Allocation for Distributed Storage Systems based on Network Coding.
Authors: Qingtao Wu1 wqt8921@126.com, Xulong Zhang1 daleloogn@126.com, Ruijuan Zheng1 rjwo@163.com, Mingchuan Zhang1 zhlzmc@163.com
Source: International Journal of Online Engineering. May2013 Special Issue 4, Vol. 9, p64-68. 5p.
Subjects: Probability theory, Dynamic storage allocation (Computer science), Information storage & retrieval systems, Coding theory, Mathematical optimization, Resource allocation, Data transmission systems
Abstract: The goal of optimal allocation is to increase stored data availability subject to minimizing the storage budget. Symmetric allocation based on the network coding has been proved to be optimal for distributed storage systems if node availability is not considered. However, because of network conditions and the inherent properties of nodes, each node will have a different availability. This paper focuses on the problem of optimizing distributed data storage when considering node availability. Using a probability model for storage systems, we redefine symmetric allocation in terms of probability-symmetric allocation and propose a probability-symmetric allocation model and strategy based on network coding. These are shown to be optimal in general. Compared with the symmetric allocation scheme proposed by Leong et al., the proposed probability-symmetric allocation scheme not only improves data availability in distributed storage systems but also is more practical. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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