The cloud computing load forecasting algorithm based on wavelet support vector machine
Wei Wu Zhong, Yi Zhuang, Jian Feng Sun, Jingjing Gu · Proceedings of the Australasian Computer Science Week Multiconference · 2016
In this paper, we propose a model based on the wavelet support vector machine(WSVM), which combines the wavelet transform's advantage of analyzing the cycle and frequency of the input signal with the support vector machine's characteristic of nonlinear regression analysis, to model the task load in the cloud computing center. Then we propose a cloud computing load forecasting algorithm based on WSVM. Finally, we verify the forecasting results using the data set of Google cloud computing center. The results prove that the algorithm we proposed performs better comparing with the similar forecasting algorithms in forecasting effect and accuracy.