期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：3
页码：125-134
DOI：10.14257/ijgdc.2016.9.3.15
出版社：SERSC
摘要：A high effective scheduling in cloud computing environment is significant to guarantee quality of cloud service. In this paper, Weighted Least Squares Support Vector Machine (WLS-SVM) is introduced to reflect finished time and cost of assignments in cloud computing and can obtain robust estimates for regression through the limited observation. There is a simple and efficient approach to model parameters selection. Some significant parameters of support vector machine are defined to further improve convergence performance of algorithm. Moreover, high effective scheduling will be acquired and service cost may be generated in cloud computing environment. Through the simulation experiment, the validity of the proposed model is demonstrated. The results show that the method has more superior performance than other methods like Least Squares Support Vector Machine (LS-SVM).
