DocumentCode :
2522769
Title :
Efficient resource management for Cloud computing environments
Author :
Younge, Andrew J. ; Von Laszewski, Gregor ; Wang, Lizhe ; Lopez-Alarcon, Sonia ; Carithers, Warren
Author_Institution :
Pervasive Technol. Inst., Indiana Univ., Bloomington, IN, USA
fYear :
2010
fDate :
15-18 Aug. 2010
Firstpage :
357
Lastpage :
364
Abstract :
The notion of Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how businesses utilize computing today. While Cloud computing provides many advanced features, it still has some shortcomings such as the relatively high operating cost for both public and private Clouds. The area of Green computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. In this paper a new framework is presented that provides efficient green enhancements within a scalable Cloud computing architecture. Using power-aware scheduling techniques, variable resource management, live migration, and a minimal virtual machine design, overall system efficiency will be vastly improved in a data center based Cloud with minimal performance overhead.
Keywords :
distributed processing; environmental factors; power aware computing; resource allocation; software architecture; virtual machines; cloud computing architecture; data center; distributed system; green computing; live migration; power-aware scheduling technique; variable resource management; virtual machine design; Hardware; Virtual machining; Cloud Computing; Green Computing; Scheduling; Virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Conference, 2010 International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7612-1
Type :
conf
DOI :
10.1109/GREENCOMP.2010.5598294
Filename :
5598294
Link To Document :
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