• DocumentCode
    3349920
  • Title

    The optimal allocation model of computing resources in cloud manufacturing system

  • Author

    Yuanjun Laili ; Fei Tao ; Lin Zhang ; Lei Ren

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2322
  • Lastpage
    2326
  • Abstract
    Recently, a new advanced service-oriented networked manufacturing model: Cloud Manufacturing (CMfg) has been proposed. The optimal allocation of computing resources (OACR) for the whole life-circle of manufacturing is an important part of CMfg. In order to implement optimal allocation, A new model for the computing resources and manufacturing tasks in CMfg is presented in this study, in which both the computation and communication factors are considered, and the formalized description on their dynamic process is given out. Primary constraints were introduced and the optimal objective of the model was proposed. Then the standard genetic algorithm (GA) was introduced to OACR. Experiments illustrated the effect of the constraints on the model and the application of GA on this problem.
  • Keywords
    cloud computing; genetic algorithms; service-oriented architecture; CMfg; GA; cloud manufacturing system; computing resources; formalized description; genetic algorithm; optimal allocation model; service-oriented networked manufacturing model; Computational modeling; Genetic algorithms; Job shop scheduling; Manufacturing; Processor scheduling; Random access memory; Resource management; cloud manufacturing (CMfg); computing resources; manufacturing tasks; optimal allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022564
  • Filename
    6022564