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Concurrent Negotiation and Coordination for Grid Resource Coallocation

Sim, Kwang Mong (2010) Concurrent Negotiation and Coordination for Grid Resource Coallocation. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 40 (3). pp. 753-766. ISSN 1083-4419. (doi:10.1109/TSMCB.2009.2028870) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Bolstering resource coallocation is essential for realizing the Grid vision, because computationally intensive applications often require multiple computing resources from different administrative domains. Given that resource providers and consumers may have different requirements, successfully obtaining commitments through concurrent negotiations with multiple resource providers to simultaneously access several resources is a very challenging task for consumers. The impetus of this paper is that it is one of the earliest works that consider a concurrent negotiation mechanism for Grid resource coallocation. The concurrent negotiation mechanism is designed for 1) managing (de)commitment of contracts through one-to-many negotiations and 2) coordination of multiple concurrent one-to-many negotiations between a consumer and multiple resource providers. The novel contributions of this paper are devising 1) a utility-oriented coordination (UOC) strategy, 2) three classes of commitment management strategies (CMSs) for concurrent negotiation, and 3) the negotiation protocols of consumers and providers. Implementing these ideas in a testbed, three series of experiments were carried out in a variety of settings to compare the following: 1) the CMSs in this paper with the work of others in a single one-to-many negotiation environment for one resource where decommitment is allowed for both provider and consumer agents; 2) the performance of the three classes of CMSs in different resource market types; and 3) the UOC strategy with the work of others [e.g., the patient coordination strategy (PCS)] for coordinating multiple concurrent negotiations. Empirical results show the following: 1) the UOC strategy achieved higher utility, faster negotiation speed, and higher success rates than PCS for different resource market types; and 2) the CMS in this paper achieved higher final utility than the CMS in other works. Additionally, the properties of the three classes of CMSs in different kinds of resource markets are also verified.

Item Type: Article
DOI/Identification number: 10.1109/TSMCB.2009.2028870
Uncontrolled keywords: 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 > Sciences > School of Computing > Data Science
Depositing User: Kwang Mong Sim
Date Deposited: 24 Oct 2012 10:14 UTC
Last Modified: 29 May 2019 09:40 UTC
Resource URI: (The current URI for this page, for reference purposes)
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