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Grid Resource Negotiation: Survey and New Directions

Sim, Kwang Mong (2010) Grid Resource Negotiation: Survey and New Directions. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 40 (3). pp. 245-257. ISSN 1094-6977. (doi:10.1109/TSMCC.2009.2037134) (KAR id:31930)

Abstract

Since Grid computing systems involve large-scale resource sharing, resource management is central to their operations. Whereas there are more Grid resource management systems adopting auction, commodity market, and contract-net (tendering) models, this survey supplements and complements existing surveys by reviewing, comparing, and highlighting existing research initiatives on applying bargaining (negotiation) as a mechanism to Grid resource management. The contributions of this paper are: 1) discussing the motivations for considering bargaining models for Grid resource allocation; 2) discussing essential design considerations such as modeling devaluation of Grid resources, considering market dynamics, relaxing bargaining terms, and co-allocation of resources when building Grid negotiation mechanisms; 3) reviewing the strategies and protocols of state-of-the-art Grid negotiation mechanisms; 4) providing detailed comparisons and analyses on how state-of-the-art Grid negotiation mechanisms address the design considerations mentioned in 3); and 5) suggesting possible new directions.

Item Type: Article
DOI/Identification number: 10.1109/TSMCC.2009.2037134
Uncontrolled keywords: Automated negotiation, bargaining, computational economy, G-commerce, Grid economics, Grid resource allocation, Grid resource management, negotiation 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: 24 Oct 2012 10:39 UTC
Last Modified: 16 Nov 2021 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/31930 (The current URI for this page, for reference purposes)

University of Kent Author Information

Sim, Kwang Mong.

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