• DocumentCode
    2767599
  • Title

    Intelligent Workload Factoring for a Hybrid Cloud Computing Model

  • Author

    Zhang, Hui ; Jiang, Guofei ; Yoshihira, Kenji ; Chen, Haifeng ; Saxena, Akhilesh

  • Author_Institution
    NEC Labs. America, Princeton, NJ, USA
  • fYear
    2009
  • fDate
    6-10 July 2009
  • Firstpage
    701
  • Lastpage
    708
  • Abstract
    We present an intelligent workload factoring service for enterprise customers to make the best use of public cloud services along with their privately-owned (legacy) data centers. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and trespassing workload, the two naturally different components composing the application workload. The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm, which enables factoring incoming requests not only on volume but also on data content, upon changing application data popularity.
  • Keywords
    Internet; commerce; customer services; Internet; cloud computing; data centers; enterprise customers; intelligent workload factoring; Cloud computing; Computer architecture; Detection algorithms; Internet; Laboratories; Load management; National electric code; Resource management; Streaming media; Technology management; cloud computing; load balancing; randomized algorithms; workload management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services - I, 2009 World Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3708-5
  • Electronic_ISBN
    978-0-7695-3708-5
  • Type

    conf

  • DOI
    10.1109/SERVICES-I.2009.26
  • Filename
    5190708