DocumentCode :
2015566
Title :
Hardware loads and power consumption in cloud computing environments
Author :
Dinita, R.I. ; Wilson, G. ; Winckles, A. ; Cirstea, M. ; Jones, Andrew
Author_Institution :
Anglia Ruskin Univ., Cambridge, UK
fYear :
2013
fDate :
25-28 Feb. 2013
Firstpage :
1291
Lastpage :
1296
Abstract :
This paper describes an optimised and novel approach to an Autonomous Virtual Server Management System in a `Cloud Computing´ environment and it presents a set of preliminary test results. One key advantage of this system is its ability to improve hardware power consumption through autonomously moving virtual servers around a network to balance out hardware loads. This has a potentially important impact on issues of sustainability with respect to both energy efficiency and economic viability. Another key advantage is the improvement of the overall end-user experience for services within the Cloud. This has been investigated through the configuration of a cloud-computing test-bed rig. The key features of this rig and some predictions of what may be achieved with it are described and evaluated.
Keywords :
cloud computing; energy conservation; power consumption; resource allocation; sustainable development; autonomous virtual server management system; cloud computing environments; cloud-computing test-bed rig; economic viability; end-user experience; energy efficiency; hardware load balancing; power consumption; sustainability; Cloud computing; Energy efficiency; Hardware; Power demand; Protocols; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
Type :
conf
DOI :
10.1109/ICIT.2013.6505859
Filename :
6505859
Link To Document :
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