• DocumentCode
    1791128
  • Title

    Research on the Resource Joint Scheduling in Optical Networks for Cloud Computing

  • Author

    Li Ming ; Zhang Yinfa ; Ren Shuai ; Wang Peng ; Wang Kun

  • Author_Institution
    Xi´an Commun. Inst., Xi´an, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    596
  • Lastpage
    599
  • Abstract
    For the joint scheduling problem of network resources and IT resources in optical networks during the cloud computing era, the cloud computing-oriented optical network architecture (CCOONA) and the resource model and task model are built. Moreover, a minimum cost-resource joint scheduling (MC-RJS) algorithm is designed. The joint scheduling scheme of using MC-RJS algorithm based on CCOONA is proposed, and the detail operation process of the scheme is described. Algorithm simulation shows that the scheme not only solves the awareness problem of IT resources in traditional optical networks, but also can complete the joint scheduling task in a low cost and load balanced way.
  • Keywords
    cloud computing; optical fibre networks; resource allocation; scheduling; CCOONA; IT resources; MC-RJS algorithm; cloud computing-oriented optical network architecture; load balancing; minimum cost-resource joint scheduling algorithm; network resources; resource joint scheduling problem; resource model; task model; Algorithm design and analysis; Cloud computing; Computational modeling; Computer architecture; Joints; Optical fiber networks; Processor scheduling; Architecture; Cloud Computing; Optical Networks; Resource Joint Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.149
  • Filename
    7003612