• DocumentCode
    2287282
  • Title

    Progressive auction based resource allocation in service-oriented architecture

  • Author

    Huang, Shuqing ; Chen, Huimin ; Zhang, Liang-Jie

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Tulane Univ., USA
  • Volume
    2
  • fYear
    2005
  • fDate
    11-15 July 2005
  • Firstpage
    85
  • Abstract
    The emerging paradigm of distributed Web services has promised seamless business integration across the Internet that shares not only computing power but also applications. One major challenge is resource allocation to each end user in an economically efficient and low latency manner. A common solution is proportional sharing where each user gets his resource in proportion to the predetermined weight. However, this does not allow users to differentiate the value of their services and to dynamically adjust the weights. A resource reservation mechanism may improve the information and service sharing but usually introduces a high latency. In this paper, we propose a progressive auction based market mechanism for resource allocation that allows user differentiation of the service value and ensures the resource acquisition latency to be limited only to the communication delay in service-oriented architecture (SOA) systems. We present a service sharing prototype for selecting services for further business process composition or solution creation and show experimental results on the formation of reliable user ranking in resource sharing through the progressive auction.
  • Keywords
    Internet; business data processing; grid computing; resource allocation; Internet; SOA systems; business integration; communication delay; distributed Web services; information sharing; progressive auction; proportional sharing; resource acquisition latency; resource allocation; resource reservation; resource sharing; service sharing; service-oriented architecture; user differentiation; user ranking; Bandwidth; Computer science; Delay; Distributed computing; Environmental economics; Grid computing; Power generation economics; Resource management; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7695-2408-7
  • Type

    conf

  • DOI
    10.1109/SCC.2005.73
  • Filename
    1524427