计算机应用 ›› 2014, Vol. 34 ›› Issue (2): 377-381.

• 先进计算 • 上一篇    下一篇

云采购平台虚拟供应商资源动态分配

黄莉,丁一,姚锦元,林国龙   

  1. 上海海事大学 物流研究中心,上海 201306
  • 收稿日期:2013-07-02 修回日期:2013-09-15 出版日期:2014-02-01 发布日期:2014-03-01
  • 通讯作者: 黄莉
  • 作者简介:黄莉(1989-),女,四川资中人,硕士研究生,主要研究方向:物流与供应链管理、物流云服务;丁一(1980-),男,上海人,讲师,博士,主要研究方向:港口物流运作优化;林国龙(1951-),男,浙江宁波人,教授,博士生导师,主要研究方向:物流与供应链管理、云管理;姚锦元(1969-),男,上海人,高级工程师,博士研究生,主要研究方向:微机电系统。
  • 基金资助:
    国家自然基金资助项目;上海市教委重点学科资助项目

Dynamic allocation of virtual supplier resources based on cloud procurement platform

HUANG Li,DING Yi,YAO Jinyuan,LIN Guolong   

  1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China
  • Received:2013-07-02 Revised:2013-09-15 Online:2014-02-01 Published:2014-03-01
  • Contact: HUANG Li

摘要: 重点探讨将云计算技术运用到采购环节中,构建云采购平台,探讨如何分配载有虚拟供应商资源的虚拟机,改善顾客满足情况。首先提出了云采购平台的概念,假设虚拟机载有供应商资源;其次提出了载有虚拟供应商资源的虚拟机分配流程,并且建立模型;然后分别采用最佳递减匹配(BFD)方法和仪跟踪多群粒子群优化(FTMPSO)算法对其求解;最后分析求解结果。采用最佳递减匹配算法时,优先满足的属性不同,得到的顾客满足情况不同;仪跟踪多群粒子群优化算法对虚拟供应商资源进行分配得到的顾客满足率高于用最佳递减匹配算法对虚拟供应商资源进行分配的顾客满足率。

关键词: 虚拟供应商资源, 虚拟机, 物理服务器, 客户需求, 满足率

Abstract: This paper focused on the application of cloud computing technology to purchase link to form a cloud procurement platform, and to explore how to allocate the virtual machine with the virtual suppliers resources, so as to improve the satisfaction of customers. Firstly, this paper proposed the concept of cloud purchase platform, assuming that the virtual machine containing the suppliers of resources; secondly proposed the allocation processes of virtual machines which contained the virtual suppliers resources and modeling; then the Best Fit Decreasing (BFD) and Finder-tracker multi-swarm Particle Swarm Optimization (FTMPSO) were adopted to get the solution; finally the results of computing were analyzed. In the BFD algorithm, the priority of each of the three attributes met different preferences of the customer's requirements. Using FTMPSO algorithm to allocate virtual suppliers resources got higher satisfaction of customer than using BFD to allocated virtual suppliers resources.

Key words: virtual supplier resource, virtual machine, physics server, customer requirement, satisfaction rate

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