Efficient resource management for Cloud computing environments

Authors:
Andrew J. Younge;Gregor von Laszewski;Lizhe Wang;Sonia Lopez-Alarcon;Warren Carithers
Affiliations:
Pervasive Technology Institute, Indiana University, Bloomington, USA;Pervasive Technology Institute, Indiana University, Bloomington, USA;Pervasive Technology Institute, Indiana University, Bloomington, USA;Rochester Institute of Technology, NY USA;Rochester Institute of Technology, NY USA
Venue:
GREENCOMP '10 Proceedings of the International Conference on Green Computing
Year:
2010

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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.