• DocumentCode
    2665045
  • Title

    Enabling Virtual Markets on an Economically Scalable Multi-agent Platform

  • Author

    Guo, Li ; Rayna, Thierry

  • Author_Institution
    London Internet Centre, Imperial Coll. London, London, UK
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    919
  • Lastpage
    924
  • Abstract
    The usage of economics in grid systems designs has been very popular recently and a large number of system designers have attempted to use economic concepts to engineer the grid market mechanism that would enable an efficient allocation of resources. However, only few of these designs have been actually implemented and, in fact, very few, if any, have been successfully adopted by end users. The argument developed in this article is that the reason behind so many different systems being developed and their relative lack of success is the generally adopted ´top-down´ approach to economics-based grid design. In contrast, this article argues that that grid market environments should be built bottom-up instead. In this new paradigm, the role of a grid middleware ceases to be prescriptive, in the sense that it carries a (or a set of) particular predefined market mechanism, and becomes a foundation on which the individual choices and interactions of users build an evolving, self-organised, self-adaptive and allocatively efficient market. A multi-agent/peer-to-peer based generic middleware is propose to support the paradigm.
  • Keywords
    grid computing; middleware; multi-agent systems; peer-to-peer computing; virtual enterprises; allocatively efficient market; bottom-up approach; economically scalable multiagent platform; economics; grid market mechanism; grid middleware; grid system design; multiagent based generic middleware; peer-to-peer based generic middleware; self-adaptive market; self-organised market; virtual market; Design engineering; Educational institutions; Environmental economics; Grid computing; Internet; Middleware; Peer to peer computing; Pervasive computing; Resource management; Stock markets; Economical Scalability; Grid Markets; P2P System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.7
  • Filename
    5172748