• DocumentCode
    2366842
  • Title

    Cloud computing: A synthesis models for resource service management

  • Author

    Li, Mengkun ; Chen, Ming ; Xie, Jun

  • Author_Institution
    Dept. of Comput. Sci. & Technol., China Univ. of Pet., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    A computational is a wide-area computing environment for cross-domain resource sharing and service integration. Most clouds generally emphasize sharing resources and services on demand, the scheduling strategy based on selecting resource that are near and owns more bandwidth available has better characteristics. The notion of game theory is proposed in this paper, which can be used as the criteria for cloud selection taking physical distance, bandwidth available and cost into consideration, combine the performance optimization and the price optimization to implement scheduling optimization in a whole sense so as to improve the stability and effectiveness of clouds resource scheduling. A synthesis-based Resource Allocation for Clouds framework is described. A modeling is developed to enable performance of the algorithm to be investigated quantitatively.
  • Keywords
    Internet; game theory; optimisation; resource allocation; scheduling; cloud computing; cross-domain resource sharing; cross-domain service integration; game theory; performance optimization; price optimization; resource service management; scheduling strategy; synthesis-based resource allocation; Bandwidth; Clouds; Optimization; Cloud Resource Service; Scheduling; Synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7475-2
  • Type

    conf

  • DOI
    10.1109/ICCSNA.2010.5588886
  • Filename
    5588886