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

Kwang Mong Sim*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

57 Citations (Scopus)

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

Original languageEnglish
Pages (from-to)1381-1394
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume36
Issue number6
DOIs
Publication statusPublished - Dec 2006
Externally publishedYes

Scopus Subject Areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Grid commerce
  • Grid resource allocation
  • Negotiation
  • Resource management
  • Software agent

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