A High-Speed Railway Data Placement Strategy Based on Cloud Computing

Abstract:

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The application of high-speed railway data, which is an important component of China's transportation science data sharing, has embodied the typical characteristics of data-intensive computing. A reasonable and effective data placement strategy is needed to deploy and execute data-intensive applications in the cloud computing environment. Study results of current data placement approaches have been analyzed and compared in this paper. Combining the semi-definite programming algorithm with the dynamic interval mapping algorithm, a hierarchical structure data placement strategy is proposed. The semi-definite programming algorithm is suitable for the placement of files with various replications, ensuring that different replications of a file are placed on different storage devices. And the dynamic interval mapping algorithm could guarantee better self-adaptability of the data storage system. It has been proved both by theoretical analysis and experiment demonstration that a hierarchical data placement strategy could guarantee the self-adaptability, data reliability and high-speed data access for large-scale networks.

Info:

Periodical:

Edited by:

Robin G. Qiu and Yongfeng Ju

Pages:

43-49

DOI:

10.4028/www.scientific.net/AMM.135-136.43

Citation:

H. N. Wang et al., "A High-Speed Railway Data Placement Strategy Based on Cloud Computing", Applied Mechanics and Materials, Vols. 135-136, pp. 43-49, 2012

Online since:

October 2011

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Price:

$35.00

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