网格环境下基于任务的虚拟物流资源匹配策略

Matching Strategy of Virtual Logistics Resources Based on Tasks in Grid Environment

网格环境下的虚拟物流资源调度问题，实质就是资源与任务如何匹配的问题。以首先满足任务需求为前提，综合考虑任务以及资源两方面的匹配要求，建立了资源任务一对一匹配模型，通过量化任务（资源）各条件因素基准值及其所占权重比率，结合循环匹配算法，提出了一种基于任务的资源任务匹配策略，有效避免多任务对资源的争抢，实现了资源任务匹配的准确性和有效性。

In the grid environment, the essence of resource scheduling problems of virtual logistics is how to match resources and tasks. This paper firstly takes meeting the needs of tasks as premise, synthetically considers the matching requirements of tasks and resources. A one-to-one matching model is established. Through the quantification of the reference value and ponderance ratio of qualification factors of the tasks （ resources）, combining cycle-matching algorithm, this paper puts forward a task-based resources matching strategy to avoid muhitask competing for the same resource, and realizes the accuracy and validity of matching.