Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 52-55.

• Intelligent Computing • Previous Articles     Next Articles

Method of Predicting Performance of Storage System Based on Improved Artificial Neural Network

GUO Jia   

  1. School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China;
    National Secrecy Science and Technology Evaluation Center,Beijing 100044,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: Measuring and evaluating the performance of network storage system is one of the key problems to users and corporations.For the strong nonlinear mapping function of the BP-ANN,a new improved algorithm for network I/O performance prediction was proposed by improved BP-ANN,and the new algorithm includes two aspects.Firstly,Mar-kov Chain is used to forecast and update the output of output layer.Secondly,the artificial bee colony algorithm is used to optimize the weights when the probability of algorithm selection reaches a certain value.The implementation process of evaluation model was simulated,and the results were compared with BP-ANN.The experimental results show that the presented approach can significantly improve the solution accuracy and convergence speed of evaluating the performance of network storage system almost without increasing the running time.

Key words: Storage systems, BP-ANN, Markov chain, ABC

CLC Number: 

  • TP389
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