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文章基本信息

  • 标题:Multi-Attribute Double Auction Models for Resource Allocation in Computational Grids
  • 本地全文:下载
  • 作者:Wanglin Kang ; Lei Wang ; Wencheng Yu
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2014
  • 卷号:8
  • 期号:1
  • 页码:357-362
  • DOI:10.2174/1874110X01408010357
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    In this paper we propose the double auction allocation models for computational grids, and two double auction algorithms for resource allocation: Single Price Double Auction algorithm (SPDA), and Multiple Attribute Double Auction algorithm (MADA). The fairness and comprehensive performance are introduced into the traditional double auction models to evaluate impact of price, speed and storage of grid resource. The results show that MADA algorithm is better from both resource's and user's perspective providing high resource utilization. The results also highlight how a resource user can improve his performance using multi-attribute characteristics.

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