Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (2): 353-367.doi: 10.11896/jsjkx.201100140

• Computer Network • Previous Articles     Next Articles

Efficiency Model of Intelligent Cloud Based on BP Neural Network

XIA Jing, MA Zhong, DAI Xin-fa, HU Zhe-kun   

  1. Wuhan Digital Engineering Institute,Wuhan 430205,China
  • Received:2020-11-20 Revised:2021-01-19 Online:2022-02-15 Published:2022-02-23
  • About author:XIA Jing,born in 1982,Ph.D.Her main research interests include virtualization technology,intelligent computing and intelligent cloud.
  • Supported by:
    Open Fund of Key Laboratory of Thermal Power Technology(TPL2019C01).

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Abstract: Recently,we are facing the increasingly large and complex intelligent applications in cloud computing.Establishing an effective quality model of cloud service is an important methodology to evaluate cloud service quality.However,due to the diversity and dynamic characteristics of intelligent cloud resources,it is very difficult to evaluate the service efficiency of intelligent cloud.At present,there is a lack of standard and unified cloud service quality evaluation and cloud service model in the field of intelligent cloud computing.In this paper,the abstract service quality of intelligent cloud is embodied as cloud service efficiency,and cloud service efficiency is defined as the service availability,reliability and performance reflecting service efficiency.That is to quantitatively evaluate the overall service capability of intelligent cloud through the output of cloud service efficiency.Moreover,this paper proposes an efficiency model of intelligent cloud based on BP neural network.The complex nonlinear relationship between input characteristics and output service efficiency of intelligent cloud is simulated by BP neural network.Once the input characteristics are determined,the output service efficiency can be computed.The efficiency model is responsible for predicting the service level of the current system in real time according to the input characteristics of the system accurately.The experimental results show that the BP neural network model,as a modeling tool of service efficiency model,has good computing efficiency and accuracy.

Key words: BP neural network, Efficiency model, Input characteristics, Intelligent cloud, Service efficiency

CLC Number: 

  • TP183
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