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Computer Engineering ›› 2012, Vol. 38 ›› Issue (08): 19-21. doi: 10.3969/j.issn.1000-3428.2012.08.007

• Networks and Communications • Previous Articles     Next Articles

Dynamic Resource Pricing Based on Combinatorial Double Auction in Cloud Environment

HU Zhi-gang, LIU Yan   

  1. (School of Information Science and Engineering, Central South University, Changsha 410083, China)
  • Received:2011-06-15 Online:2012-04-20 Published:2012-04-20

云环境下基于组合双向拍卖的动态资源定价

胡志刚,刘 艳   

  1. (中南大学信息科学与工程学院,长沙 410083)
  • 作者简介:胡志刚(1963-),男,教授、博士生导师,主研方向:网格计算,并行计算;刘 艳,硕士研究生
  • 基金资助:

    国家自然科学基金资助项目(60970038)

Abstract: Currently market trading mechanism in cloud environment is inflexible, and the price is not reasonable enough in some situation. Aiming at at this problem, this paper proposes a new dynamic resource pricing model based on combinatorial double auction, and gives the algorithm of cloud resource allocation and pricing. The users determine their price according to the amount of respond time, and the resource providers ask price considering the workload of the system. Simulation experimental results show that the proposed algorithm is better than the fixed pricing algorithm. The profit of user is increased by 18% and the profit of resource provider is increased by 9%.

Key words: cloud computing, response time, budget, combinatorial double auction, resource pricing

摘要: 云环境下的市场交易机制缺乏灵活性,且在某些情况下定价不合理。为此,提出一种基于组合双向拍卖的动态资源定价模型,给出云资源分配与定价算法,用户通过响应时间出价,资源提供商根据负载情况要价。仿真实验结果表明,该算法与固定比例的定价算法相比,能提高18%的用户利益与9%的资源提供商利益。

关键词: 云计算, 响应时间, 预算, 组合双向拍卖, 资源定价

CLC Number: