• DocumentCode
    2346487
  • Title

    An Automatic Parameter Optimization Method on Performance Test of Storage Systems

  • Author

    Zhao, Tingtao ; Zhu, Ligu ; Zheng, Liang ; Qiu, Quanwei

  • Author_Institution
    Networked Storage Lab., Commun. Univ. of China, Beijing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    792
  • Lastpage
    794
  • Abstract
    In order to acquire the peak performance of one storage system quickly and accurately, an automatic parameter optimization method is used in performance test. By introducing artificial intelligence into storage test, the algorithms such as particle swarm optimization help to optimize parameters automatically on performance test. Experimental results show that this method can significantly improve efficiency and accuracy of performance test, so saving cost. The method based on intelligent optimization algorithms can acquire the optimal performance value of storage systems more quickly, especially in the case of there are too many parameters in performance test.
  • Keywords
    digital storage; particle swarm optimisation; performance evaluation; storage management; artificial intelligence; automatic parameter optimization; optimal performance value; particle swarm optimization; performance test; storage systems; Aggregates; Bandwidth; Benchmark testing; Manuals; Optimization; Particle swarm optimization; performance test; storage bandwidth; test; test automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.69
  • Filename
    5957776