Redundant Data Placement Strategies for Cluster Storage Environments
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The continued exponential increase in stored data as well as the high demand for I/O performance is imposing high pressure on the scalability properties of storage environments. The resulting number of disk drives in huge environments does not only lead to management, but also to reliability problems. The foundations of scalable and reliable storage systems are data distribution algorithms, which are able to scale performance and capacity based on the number of disk drives and which are able to efficiently support multi-error correcting codes. In this paper, we propose data distribution strategies, which are competitive concerning the number of data movements required to optimally adapt to a changing number of heterogeneous disk drives under these constraints.
KeywordsCompetitive Ratio Disk Drive Restricted Environment Data Layout Storage Environment
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