云虚拟机资源负载均衡的任务调度研究（英文）  

Task scheduling based on load balancing of virtual machines in cloud computing

作　　者：张勇军[1,2] 熊庆国 李文翔[2,3] 

机构地区：[1]武汉科技大学信息科学与工程学院,武汉430081 [2]武汉科技大学冶金自动化与检测技术教育部工程研究中心,武汉430081 [3]武汉科技大学冶金工业过程系统科学湖北省重点实验室,武汉430081

出　　处：《机床与液压》2015年第18期64-69,共6页Machine Tool & Hydraulics

基　　金：supported by Self-dependent Innovation fund Program of Wuhan University of Science and Technology(13ZRC124)

摘　　要：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 without 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 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.

关 键 词：CLOUD computing  TASK scheduling  Virtual machine  PRIORITY queue  Load balancing 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]