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

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