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. (Full text available)

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Official URL
http://dx.doi.org/10.1109/TSMCB.2006.877791

Abstract

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
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: Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group
Central Services > Templeman Library
Central Services > Research Services
Depositing User: Kwang Mong Sim
Date Deposited: 29 Oct 2012 14:07
Last Modified: 28 May 2013 14:39
Resource URI: http://kar.kent.ac.uk/id/eprint/32018 (The current URI for this page, for reference purposes)
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