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Journal of Signal Processing Systems

, Volume 91, Issue 10, pp 1115–1126 | Cite as

Evaluation of Cloud Service Reliability Based on Classified Statistics and Hierarchy Variable Weight

  • Ping ZhouEmail author
  • Luo-Ming Meng
  • Xue-Song Qiu
  • Ze-Sheng Wang
  • Zhi-Peng Wang
  • Zhi-Feng Chen
Article
  • 129 Downloads

Abstract

With the rapid growth of Cloud Computing, more and more organizations choose cloud service to support their business. And the reliability of cloud service has been widely concerned. To better serve the use of cloud service as well as efficiently decide the reliability of cloud service, it is important to know how to deal with the evaluation. In this paper, we establish a cloud service reliability model. This model can be presented to solve the problems with cloud service reliability evaluation which is significantly affected by subjective factors and to further improve its scientific nature. Meanwhile, we proposed a method based on classified statistics and hierarchy variable weight to efficiently evaluate the cloud service reliability based on the model. The experimental results show that the model and method constructed in this paper can be used to efficiently evaluate the cloud service reliability through the classified processing and hierarchical division of subjective and objective characteristics/ subcharacteristics.

Keywords

Cloud service Reliability model Evaluation methods Classified statistics 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Lab of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.China Electronics Standardization InstituteBeijingChina

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