An energy-saving algorithm for cloud resource management using a Kalman filter

Da Jing Zhang-Jian*, Chung Nan Lee, Ren Hung Hwang

*此作品的通信作者

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

Cloud computing has emerged as a promising technique to provide storage and computing component on-demand services over a network. In this paper, we present an energy-saving algorithm using the Kalman filter for cloud resource management to predict the workload and to further achieve high resource availability with low service level agreement. Using the proposed algorithm, one can estimate the potential future workload trend then predict the computing component workload utilizations and further retrench energy consumption and achieve load balancing in a cloud system. Experimental results show that the proposed algorithm achieves more than 92.22% accuracy in the computing component workload prediction, improves 55.11% energy in energy consumption, and has 3.71% in power prediction error rate, respectively.

原文English
頁(從 - 到)4078-4091
頁數14
期刊International Journal of Communication Systems
27
發行號12
DOIs
出版狀態Published - 1 12月 2014

指紋

深入研究「An energy-saving algorithm for cloud resource management using a Kalman filter」主題。共同形成了獨特的指紋。

引用此