Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (4): 467-471.DOI: 10.12068/j.issn.1005-3026.2017.04.003

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Social Cloud Resource Allocation Model Based on Improved Reverse Vickrey Auction

WANG Xue-yi1,2, WANG Xing-wei1,2, HUANG Min3, WANG Zun1   

  1. 1. School of Software, Northeastern University, Shenyang 110169, China; 2. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China; 3. School of Information Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2015-11-10 Revised:2015-11-10 Online:2017-04-15 Published:2017-04-11
  • Contact: WANG Xue-yi
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Abstract: Since economics is concerned with resource allocation among individuals with different objectives in human societies, a social cloud resource allocation model was proposed based on improved reverse Vickrey auction. First, the tender description and the dynamic trust calculation method were given. Then, a candidate resource provider selection method was proposed, and it was integrated into reverse Vickrey auctions to make the resource providers participating in the auction be not only friends of resource consumers, but also non-friends with high reputation. Finally, the overbooking mechanism was introduced into reverse Vickrey auction to improve the utilization of resource providers, and the allocation and pricing method was presented. The simulation results showed that the proposed model was feasible and effective.

Key words: social cloud, social search, reverse vickrey auction, overbooking, trust

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