DocumentCode
2362143
Title
Optimizing server power consumption in cross-domain content distribution infrastructures
Author
Ge, Chang ; Wang, Ning ; Sun, Zhili
Author_Institution
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
fYear
2012
fDate
10-15 June 2012
Firstpage
2628
Lastpage
2633
Abstract
Optimizing server´s power consumption in content distribution infrastructure has attracted increasing research efforts. The technical challenge is the tradeoff between server power consumption and the content service capability on both the server and the network side. This paper proposes and evaluates a novel approach that optimizes content servers´ power consumptions in large-scale content distribution platforms across multiple ISP domains. Specifically, our approach strategically puts servers to sleep mode without violating load capacities of virtual content delivery links and active servers in the infrastructure. Such a problem can be formulated into a nonlinear programming model. The efficiency of our approach is evaluated in a content distribution topology covering two real interconnected domains. The simulation has shown that our approach is capable of reducing servers´ power consumptions by up to 62.2%, while maintaining the actual service performance in an acceptable scope.
Keywords
Internet; network servers; nonlinear programming; Internet service provider; content distribution topology; content service capability; cross-domain content distribution infrastructures; interconnected domains; large-scale content distribution platforms; multiple ISP domains; nonlinear programming model; server power consumption optimization; sleep mode; virtual content delivery links; Bandwidth; Load modeling; Mathematical model; Network topology; Power demand; Servers; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6363659
Filename
6363659
Link To Document