For task scheduling in current cloud computing, some models pursue the shortest completion time without considering the load balancing in physical resource. In this paper, preclassification taskbased scheduling strategy (PCSS) was proposed. The minimum completion time and deadline of tasks were took into account comprehensively to set priorities of tasks which were assigned to the appropriate physical quantities of resources according 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 effectively and supports load balance in physical resources.
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张勇军,熊庆国,李文翔.云虚拟机资源负载均衡的任务调度研究[J].机床与液压,2015,43(18):64-69. . Task scheduling based on load balancing of virtual machines in cloud computing[J]. Machine Tool & Hydraulics,2015,43(18):64-69