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Neural Computing and Applications
Published in: Neural Computing and Applications 1/2018

14-07-2016 | Original Article

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

Authors: Jianbing Xiahou, Fan Lin, QiHua Huang, Wenhua Zeng

Published in: Neural Computing and Applications | Issue 1/2018

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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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Metadata
Title
Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model
Authors
Jianbing Xiahou
Fan Lin
QiHua Huang
Wenhua Zeng
Publication date
14-07-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 1/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2364-y

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