NDLI: A trust-incentive-based combinatorial double auction algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kun Wang Li Li Hausheer, D. Zhiyong Liu Wei Li Denian Shi Guili He Stiller, B.
Copyright Year	2010
Description	Author affiliation: Communication Systems Group CSG, Department of Informatics IFI, University of Zurich, Switzerland (Hausheer, D.; Stiller, B.) \|\| China Academy of Telecommunication Research, MIIT, China (Kun Wang; Zhiyong Liu; Wei Li; Denian Shi; Guili He) \|\| Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, China (Li Li)
Abstract	Resource allocations determine an important management task for operational Grids and networks, especially under the constraint of commercially offered resources. Therefore, the need for an optimal allocation of this task arises, and this paper proposes a trust-incentive-based combinatorial double auction algorithm for these resource allocations in Grids. The key and new contribution is the design of a trust-incentive mechanism, which is integrated into an existing combinatorial double auction algorithm (a) to improve the performance of Grid resource allocation and (b) ensure that trust values of participating bidders (typically Grid users, termed peers) are considered. In the newly developed trust-incentive-based algorithm, each peers' trust value is adopted to adjust their bids in the process of the combinatorial double auction. After each transaction, peers participating in the transaction rate each other to setup and update the bilateral trust relationship. Those simulation results obtained demonstrate that the algorithm proposed can improve the efficiency of resource sharing greatly by providing applicable incentives to trustworthy peers to contribute more resources. Moreover, this algorithm can identify and eliminate malicious peers in the system to enhance the Grid security level in that respect.
Starting Page	209
Ending Page	215
File Size	320188
Page Count	7
File Format	PDF
ISBN	9781424453665
ISSN	15421201
e-ISBN	9781424453672
DOI	10.1109/NOMS.2010.5488462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Power generation economics Algorithm design and analysis Security Computer network management Power system management Pricing Laboratories Wireless communication Informatics Reputation Trust Incentives Combinatorial Double Auction Behavior Trust Direct Trust
Content Type	Text
Resource Type	Article

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