Study on Timely Scheduling Algorithm for Load Balance Based on Support Vector Machine

摘要：

A timely scheduling model is studied and a solution on load balance is attempted to explore from the point of machine learning in this paper. An expert system scheduling algorithm based on Support Vector Machine is presented. After research, the corresponding scheduling model is built, which is applied to the load balance of server cluster. Finally, the feasibility and validity of the algorithm is validated through experiments.

关键词： server cluster load balance scheduling Support Vector Machine machine learning

作者: Shi Qiaoshuo Li Chongchong Li Jungang

作者单位: School of Computer Science and Software Engineering Hebei University of Technology Tianjin, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1363-1366

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）