• DocumentCode
    2217056
  • Title

    Optimal cloud storage problem in the distributed cloud data centers by the discrete PSO algorithm

  • Author

    Liu, Jun ; Shi, Tianyun ; Li, Ping

  • Author_Institution
    Institute of Computing Technologies, Chinese Academy of Railway Sciences, Beijing, China
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    156
  • Lastpage
    163
  • Abstract
    The cloud storage problem is one of the interesting and important topics in the fields of cloud computing and big data. From the viewpoint of optimization, one discrete PSO algorithm is mainly utilized to handle with the cloud storage problem of the distributed data centers in China´s railway and copy with the data between two data centers. This paper briefly introduces the objectives and the constraints of the cloud storage problem on the basis of the existing China´s railway network topology. In order to achieve the good performance considering the smallest transmitting distance, one discrete PSO algorithm essentially marries each other between two data center sets. Numerical results highlight that the discrete PSO algorithm can provide the guideline for the suboptimal cloud storage strategy of China´s railway when the number of the distributed data centers is equal to 15, 17 and 18.
  • Keywords
    Cloud computing; Distributed databases; Lead; Optimization; Rail transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7256887
  • Filename
    7256887