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
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;
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
DOI :
10.1109/ICIT.2013.6505859