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A new method of winner determination for economic resource allocation in cloud computing systems

Author

Listed:
  • Ebrahim Behrouzian Nejad

    (Department of Computer, Andimeshk Branch, Islamic Azad University, Andimeshk, Iran)

  • Rezvan Ali poorsabzevari

    (Department of Computer, Khouzestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran)

Abstract

Cloud computing systems are large-scale distributed systems, so that they focus more on large scale resource sharing, cooperation of several organizations and their use in new applications. One of the main challenges in this realm is resource allocation. There are many different ways of resource allocation in cloud computing. One of the common methods of resource allocation are economic methods. Among these methods, the auctionbased method has greater prominence compared with Fixed-Price method. The double combinatorial auction is one of the proper ways of resource allocation in cloud computing. This method includes two phases: winner determination and resource allocation. In this paper a new method has been presented to determine winner in double combinatorial auction-based resource allocation using Imperialist Competitive Algorithm (ICA). The experimental results show that in our new proposed method, the number of winner users is higher than genetic algorithm. On the other hand, in proposed algori hm, the number of winner providers is higher in genetic algorithm.

Suggested Citation

  • Ebrahim Behrouzian Nejad & Rezvan Ali poorsabzevari, 2016. "A new method of winner determination for economic resource allocation in cloud computing systems," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(1), pages 12-17.
    • Handle: RePEc:apb:jaterr:2016:p:12-17
    DOI: 10.20474/jater-2.1.3
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    References listed on IDEAS

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    1. Xia, Mu & Stallaert, Jan & Whinston, Andrew B., 2005. "Solving the combinatorial double auction problem," European Journal of Operational Research, Elsevier, vol. 164(1), pages 239-251, July.
    2. Schnizler, Bjorn & Neumann, Dirk & Veit, Daniel & Weinhardt, Christof, 2008. "Trading grid services - a multi-attribute combinatorial approach," European Journal of Operational Research, Elsevier, vol. 187(3), pages 943-961, June.
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    Cited by:

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