• DocumentCode
    2974022
  • Title

    A framework for MGrid resource service optimal-selection and composition

  • Author

    Tao, F. ; Zhang, L. ; Zhao, D.

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    110
  • Lastpage
    114
  • Abstract
    The problem of resource service optimal-selection and composition (RSOSC) in manufacturing grid (MGrid) system is proposed. Based on the authors´ previous work, a framework for addressing RSOSC problem in MGrid system is presented. The framework consists of five layers: (1) task layer-responsible for MGrid task decomposition, (2) resource service match and search layer-responsible for searching the qualified resource service according to each decomposed subtask´s requirements, (3) resource service QoS processing layer-responsible for collecting QoS information for each candidate resource service, as well as QoS evaluation, comparison, monitor, updating, (4) resource service optimal-selection layer-responsible for evaluating and ranking the candidate resource service for each subtask, and (5) resource service composition layer- responsible for resource service composition and optimal-selection.
  • Keywords
    resource allocation; service industries; MGrid resource service optimal selection; MGrid task decomposition; QoS information collection; manufacturing grid system; resource service QoS processing layer; resource service composition layer; resource service match; resource service optimal; search layer; task layer; Computer aided manufacturing; Computer integrated manufacturing; Grid computing; Information management; Manufacturing automation; Manufacturing processes; Monitoring; Quality of service; Resource management; Virtual manufacturing; Manufacturing grid (MGrid); optimal-selection and composition; resource service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373415
  • Filename
    5373415