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
Link To Document