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
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