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Grid Commerce, Market-Driven G-Negotiation, and Grid Resource Management

Sim, Kwang Mong (2006) Grid Commerce, Market-Driven G-Negotiation, and Grid Resource Management. IEEE Transactions On Systems, Man, and Cybernetics—Part B: Cybernetics, 36 (6). pp. 1381-1394. ISSN 1083-4419. (doi:10.1109/TSMCB.2006.877791) (KAR id:32018)


Although the management of resources is essential

for realizing a computational grid, providing an efficient resource

allocation mechanism is a complex undertaking. Since Grid

providers and consumers may be independent bodies, negotiation

among them is necessary. The contribution of this paper

is showing that market-driven agents (MDAs) are appropriate

tools for Grid resource negotiation.MDAs are e-negotiation agents

designed with the flexibility of: 1) making adjustable amounts of

concession taking into account market rivalry, outside options,

and time preferences and 2) relaxing bargaining terms in the

face of intense pressure. A heterogeneous testbed consisting of

several types of e-negotiation agents to simulate a Grid computing

environment was developed. It compares the performance

of MDAs against other e-negotiation agents (e.g., Kasbah) in a

Grid-commerce environment. Empirical results show that MDAs

generally achieve: 1) higher budget efficiencies in many market

situations than other e-negotiation agents in the testbed and

2) higher success rates in acquiring Grid resources under high

Grid loadings.

Item Type: Article
DOI/Identification number: 10.1109/TSMCB.2006.877791
Uncontrolled keywords: Grid commerce, Grid resource allocation, negotiation, resource management, software agent.
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Kwang Mong Sim
Date Deposited: 29 Oct 2012 14:07 UTC
Last Modified: 04 Jul 2023 14:11 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Sim, Kwang Mong.

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