Title :
Genetic Algorithm-Based Power Management in Cloud Platform
Author :
Xiong, Zili ; Zhang, Zhang ; Kong, Huafeng ; Zou, Deqing
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Cloud computing is a novel computing pattern, and it can provide underlying hardware resource for cloud users on demand. Virtualization is the key technology of cloud computing, and it provides the technical support for cloud computing. In cloud platform, power management is an indispensable function of cloud system administration. Based on genetic algorithm, this paper proposes a power management method based on virtual cluster. The experiments on Xen platform prove the effectiveness of our method.
Keywords :
cloud computing; genetic algorithms; virtualisation; Xen platform; cloud computing; cloud platform; cloud system administration; computing pattern; genetic algorithm; hardware resource; power management; virtual cluster; virtualization; Cloud computing; Clustering algorithms; Entropy; Genetic algorithms; Presses; Quality of service; Security;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006323
