在计算经济模式下,为调节网格资源供需分配提出了一个基于用户服务需求的计算经济框架。这个框架通过经济学驱动截止期和预算约束根据用户的需求,分配资源到应用任务。提出了一种基于计算经济的网格资源动态调度算法,主要针对网格资源由于计算能力不同而花费代价不同而提出,利用启发式搜索技术,综合考虑了任务的截止期、预算约束、最早可能执行时间等不同因素,通过一个新的资源分配策略实现了时间-代价的最优化,提高了资源调度的成功率。 In the computational economy mode, a computational economic framework based on user service needs is proposed for adjusting the supply and demand of grid resources. This framework allocates resources to application tasks based on the needs of users through economically driven deadlines and budget constraints. A dynamic scheduling algorithm based on computational economics for grid resources is proposed. The proposed algorithm is mainly based on the computational cost of grid resources being different, and the heuristic search technique is used to consider the deadlines of tasks and the budget constraints. The earliest possible Implementation time and other different factors, through a new resource allocation strategy to achieve the time-cost optimization, improve the success rate of resource scheduling.