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Parallel demand side auction mechanism for dynamic and efficient resource allocation

机译:动态有效分配资源的并行需求侧拍卖机制

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Effective allocation mechanisms are required for infinitesimally divisible demand side resources capturing self-interest and non-cooperation among the users who consume the resources, in order to achieve efficient resource allocation maximising the social welfare with decentralisation of information sharing and decision making. The authors study an auction based mechanism to allocate the demand side resource, where a set of users who consume resources game with each other by bidding. The proposed auction mechanism fits into the progressive second price (PSP) mechanism, which follows a Vickrey-Clarke-Groves type payment. These kind of mechanisms admit incentive compatibility and existence of the efficient Nash equilibrium (NE). Furthermore, considering the fairness and privacy of the bidders as well as limitation of sequential algorithms in practical applications, the authors present a parallel updating algorithm in which all the bidders synchronously update their bids to achieve the efficient NE. By rigorous theoretical analyses, the proposed algorithm is guaranteed to converge to a bid profile which is shown to be the efficient NE. Numerical simulations demonstrate the performance of the proposed auction mechanism and parallel algorithm.
机译:有效地分配需求侧资源需要有效的分配机制,以在消耗资源的用户之间捕获自身利益和不合作,以实现有效的资源分配,从而通过分散信息共享和决策来最大化社会福利。作者研究了一种基于拍卖的机制来分配需求侧资源,在该机制中,一组通过竞价消耗资源的用户彼此博弈。拟议的拍卖机制符合逐步第二价格(PSP)机制,该机制遵循Vickrey-Clarke-Groves类型的付款方式。这些机制承认激励相容性和有效纳什均衡(NE)的存在。此外,考虑到投标人的公平性和私密性以及顺序算法在实际应用中的局限性,作者提出了一种并行更新算法,其中所有投标人都同步更新其投标以实现有效的NE。通过严格的理论分析,可以保证所提出的算法收敛到出价配置文件,该出价配置文件显示为有效的NE。数值模拟证明了所提出的拍卖机制和并行算法的性能。

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