DocumentCode :
3063276
Title :
Energy-Aware Task Consolidation Technique for Cloud Computing
Author :
Hsu, Ching-Hsien ; Chen, Shih-Chang ; Lee, Chih-Chun ; Chang, Hsi-Ya ; Lai, Kuan-Chou ; Li, Kuan-Ching ; Rong, Chunming
Author_Institution :
Dept. Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
fYear :
2011
fDate :
Nov. 29 2011-Dec. 1 2011
Firstpage :
115
Lastpage :
121
Abstract :
Task consolidation is a way of maximizing cloud computing resource, which brings many benefits such as better use of resources, rationalization of maintenance, IT service customization, QoS and reliable services, etc. However, maximizing resource utilization does not mean efficient energy usage. Many literature show that energy consumption and resource utilization in clouds are highly coupled. Some research works aim to decrease resource utilization for saving energy while some try to find the balance between resource utilization and energy consumption. In this paper, an energy-aware task consolidation (ETC) technique is presented aims to optimize energy consumption of virtual clusters in cloud data center. Conforming most cloud systems, a 70% principle of CPU utilization is proposed to manage task consolidation among virtual clusters. The simulation results show that ETC can significantly reduce power consumption in managing task consolidation for cloud systems. Up to 17% improvement as compare to a recent work in [10] that aims to maximize resource utilization can be obtained.
Keywords :
cloud computing; computer centres; energy conservation; energy consumption; resource allocation; virtual machines; CPU utilization; cloud computing resource maximization; cloud data center; energy consumption optimization; energy-aware task consolidation technique; resource utilization; virtual cluster; Energy consumption; Loading; Passive optical networks; Power demand; Servers; Virtual machining; cloud computingl; energy efficient; task consolidation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4673-0090-2
Type :
conf
DOI :
10.1109/CloudCom.2011.25
Filename :
6133134
Link To Document :
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