• DocumentCode
    3240673
  • Title

    Pricing Strategies in Grid Market: Simulation and Analysis

  • Author

    Xie, Xia ; Huang, Jin ; Jin, Hai ; Wu, Song ; Koh, Melvin ; Song, Jie ; See, Simon

  • Author_Institution
    Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    24-26 Oct. 2008
  • Firstpage
    532
  • Lastpage
    538
  • Abstract
    The most important concept of a market is price - the terms on which the trading objects (products or services) are exchanged. In an ideal market, the price is a reflection of the current state of the market, and therefore it should be dynamic. From the seller perspective, using an effective dynamic pricing strategy can make a difference between making a profit or loss in a market. In a grid marketplace, the strategy is even more important given it is very dynamic and volatile nature. In this paper, we describe and review three different pricing strategies for the grid market: demand-response, revenue-response and price-maximizing strategy, and analyze their behavior in different market conditions using simulation approach. Our results show that two of the strategies are able to generate high revenue in various market conditions.
  • Keywords
    grid computing; pricing; profitability; demand-response strategy; dynamic pricing strategy; grid market; price-maximizing strategy; revenue-response strategy; Analytical models; Asia; Computational modeling; Computers; Game theory; Grid computing; Load management; Mesh generation; Pricing; Reflection; Auction; grid market; pricing strategies; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Cooperative Computing, 2008. GCC '08. Seventh International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3449-7
  • Type

    conf

  • DOI
    10.1109/GCC.2008.110
  • Filename
    4662912