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Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model

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Abstract

This paper proposed the Cloud Storage Service Selection Strategy under the cross-datacenter environment. Due to the dynamic network environment and the independence between the data centers, this paper presented Cloud Storage Service Selection Strategy across the data center based on AHP–backward cloud generator algorithm. The strategy combines the theory of analytic hierarchy process (AHP) analysis and uncertainty reasoning of cloud method by means of collecting cloud storage providers’ quantitative performance data and inferring qualitative classification of service capability, to select Cloud Storage Service Selection Strategy across the data center. Simulation results show that the strategy has a great advantage in system load balance, replica access rate, and data reliability.

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Authors and Affiliations

  1. Software School, Xiamen University, Xiamen, China

    Jianbing Xiahou, Fan Lin, QiHua Huang & Wenhua Zeng

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  1. Jianbing Xiahou
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  2. Fan Lin
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  3. QiHua Huang
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  4. Wenhua Zeng
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Correspondence to Jianbing Xiahou.

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Xiahou, J., Lin, F., Huang, Q. et al. Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model. Neural Comput & Applic 29, 71–85 (2018). https://doi.org/10.1007/s00521-016-2364-y

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  • DOI: https://doi.org/10.1007/s00521-016-2364-y

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