太原理工大学学报2012，Vol.43Issue(6)：715-718,4.
基于决策树分类的云作业调度算法研究与实现
Cloud Scheduling Algorithm Based on the Decision Tree Classification
摘要
Abstract
As a result of the increasing sizes and types of the jobs in the cloud environment, the job scheduling execution becomes more and more confusion. To solve the chaos, a method based on the C4. 5 algorithm of decision tree to classify the jobs before scheduling was introduced, which uses the top-down recursive approach to organize a set of unordered data into flowchart-like structure,and to segement the data based on the atmost "difference" to get the simple set of the large-scale problems. The method was used in the cloud scheduling algorithm and the parameters showed a higher executive efficiency and a better customer satisfaction compared with the traditional method. Thus,the results illustrated the validity of this method.关键词
决策树/作业调度/训练Key words
decision tree/job scheduling/training分类
信息技术与安全科学引用本文复制引用
强彦,卢军佐,裴博..基于决策树分类的云作业调度算法研究与实现[J].太原理工大学学报,2012,43(6):715-718,4.基金项目
国家自然科学基金资助项目(61202163) （61202163）
山西省自然科学基金资助项目(2012011015-1) （2012011015-1）
山西省攻关项目(20120313032-3) （20120313032-3）
