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
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