Grid Resource AllocationPricing Based on Weighted Average

doi:10.13190/jbupt.200906.9.yangm

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (6): 9-13.doi: 10.13190/jbupt.200906.9.yangm

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Grid Resource AllocationPricing Based on Weighted Average

YANG Ming;LIU Yuan-an;MA Xiao-lei;LI Li

(School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Received:2009-03-31 Revised:2009-06-27 Online:2009-12-28 Published:2009-12-28
Contact: YANG Ming

Abstract

Abstract:

According to the deficiency of the mean price based pricing method in combinatorial double auction for grid resource allocation, a unit price based pricing algorithm is presented. Based on combinatorial double auction and grid trust theories, a weighted average algorithm based grid resource allocation and pricing strategy is proposed. This algorithm identifies malicious nodes through the weighted average of the trust degree thresholds, and assesses the comprehensive competitiveness of the normal nodes through the weighted average of normalized bid prices and trust degrees. Simulations show the algorithm represents high trade rate and can prevent malicious nodes from entering into the market. The trade utility can give nodes incentives to improve their competitiveness.

Key words: grid, resource allocation, pricing, combinatorial double auction, trust, utility

YANG Ming;LIU Yuan-an;MA Xiao-lei;LI Li. Grid Resource AllocationPricing Based on Weighted Average[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(6): 9-13.

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Grid Resource AllocationPricing Based on Weighted Average

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