摘要
面对云计算中庞大用户群的需求,云计算平台的性能起着关键的作用。任务调度算法对云计算平台的性能存在很大的影响。虽然云计算任务调度算法是目前云计算中研究的热点,但是多数任务调度算法并没有从用户满意程度的角度去考虑。针对云计算的现有资源调度算法提出了一种类欧氏距离负载平衡(EDL-LB)的任务调度解决方案,能够针对用户的不同需求提出与之相适应的资源选择方案,有效地提高用户对云资源的使用满意度。仿真结果表明了方法能够在保证任务完成时间的条件下,通过新的任务调度策略来提高用户对云计算任务的满意度以及资源的利用率,是一种云计算环境下有效的任务调度算法。
The performance of cloud computing platform plays key role for satisfying users＇ requirements. Task scheduling algorithms have strong influences on the performances of cloud computing platforms. Although cloud com- puting task scheduling algorithm is a hotspot, at present, most of job scheduling algorithms do not satisfy customers. This paper presentrf a new resource scheduling solution named Euclidean distance liked - load balance job scheduling algorithm based on existed job scheduling algorithm. It presents different resource selecting schemes with different us- er needs, and it improves customer satisfaction effectively. Simulation results show that this algorithm provides higher customer satisfaction and higher resource utilization, and it is an efficient task scheduling algorithm in cloud compu- ting environment.
出处
《计算机仿真》
CSCD
北大核心
2012年第6期159-162,205,共5页
Computer Simulation
基金
四川省应用基础研究基金(2010JY0001)
关键词
云计算
任务调度
类欧氏距离
负载平衡
Cloud computing
Task scheduling
Euclidean distance liked
Load balance
