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针对云计算中现有任务调度模型为追求最短完成时间，而没有从物理资源的负载均衡角度考虑，提出了基于任务预先分类的调度策略（PCSS）。该策略通过综合考虑任务的最少执行时间和截止时间来设置优先级，根据优先级别将任务批量分配给合适的物理机，实现了任务的最短完成时间和物理机的负载均衡。最后通过 Cloudsim 仿真实验分析和比较，该策略能很好地执行用户任务并体现出良好的负载均衡。“,”For task scheduling in current cloud computing,some models pursue the shortest completion time with-out considering the load balancing in physical resource.In this paper,pre-classification task-based scheduling strategy (PCSS)was proposed.The minimum completion time and deadline of tasks were took into account com-prehensively to set priorities of tasks which were assigned to the appropriate physical quantities of resources ac-cording to the virtual machine tasks priority level,accomplished the task of shortest time completed and the load balancing.Finally,simulation experiments in Cloudsim shows that this scheduling strategy performs user tasks ef-fectively and supports load balance in physical resources.