计算机应用研究2016，Vol.33Issue(11)：3422-3425,4.DOI:10.3969/j.issn.1001--3695.2016.11.049
异构云环境下基于分簇的云资源感知任务调度方案
Task scheduling scheme based on clustering in heterogeneous cloud computing platform
摘要
Abstract
To improve the efficiency of resource scheduling in heterogeneous cloud platform,a task scheduling scheme based on task and resource clustering in heterogeneous cloud computing platform was proposed.First,clustered the tasks according to the CPU and I/O processing time of tasks with the K-means,and clustered the resources according to the computing power of resources;then,it made the task cluster corresponding to the appropriate resource cluster,and the earliest deadline first (EDF)algorithm was used for the independent task scheduling,and the improved minimal critical path (MCP)algorithm was used for dependent task scheduling.Experimental results show that in the cloud computing environment with heterogeneous re-sources the proposed scheme takes more short time and consume lower energy during the task execution.关键词
异构云计算平台/任务调度/分簇/K-means算法/最早截止时间优先/最小关键路径Key words
heterogeneous cloud computing platform/task scheduling/clustering/K-means algorithm/earliest deadline first/modified critical path分类
信息技术与安全科学引用本文复制引用
江务学,魏文国,丁度坤,李菲..异构云环境下基于分簇的云资源感知任务调度方案[J].计算机应用研究,2016,33(11):3422-3425,4.基金项目
广东省科技计划资助项目（2014A010103032，2014A010103002）；广东省产学研专项基金资金项目（2013B011301003）；东莞市产学研合作项目（2014509102211）；东莞职业技术学院政校行企项目 （）
