A distributed approach for resource pricing in grid environments

Chuliang Weng, Xinda Lu, Qianni Deng

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

A distributed group-pricing algorithm is presented for the market-based resource management in the grid context based on quick convergence of centralized algorithms and scalability of distributed algorithms. According to the new algorithm, resources in the system are divided into multiple resource groups according to the degree of price correlation of resources. When the demand and supply of resources in the system changes, each auctioneer in the defined system structure is responsible for adjusting simultaneously the price of one resource group respectively until the excess demand of all resources becomes zero. We test the distributed group-pricing algorithm against the existed distributed algorithm, and analyze the property of the algorithm. Experimental results indicate that an equilibrium can be achieved by the distributed group-pricing algorithm quicker than by the existed distributed algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMinglu Li, Qianni Deng, Xian-He Sun, Jun Ni
PublisherSpringer Verlag
Pages620-627
Number of pages8
ISBN (Print)3540219935, 9783540219934
DOIs
StatePublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3033
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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