Dinita_et_al_2013.pdf (461 kB)
Hardware Loads and Power Consumption in Cloud Computing Environments
conference contribution
posted on 2023-08-30, 14:18 authored by Razvan I. Dinita, George Wilson, Adrian Winckles, Marcian N. Cirstea, Aled JonesThis 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.
History
Page range
1291-1296External DOI
Publisher
IEEEPlace of publication
OnlineISBN
9781467345682Conference proceeding
2013 IEEE International Conference on Industrial Technology (ICIT)Name of event
2013 IEEE International Conference on Industrial Technology (ICIT)Location
Cape Town, South AfricaEvent start date
2013-02-25Event finish date
2013-02-28File version
- Accepted version
Language
- eng
Official URL
Legacy posted date
2016-07-08Legacy creation date
2016-07-08Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Note
This is the accepted manuscript. The final version is available from IEEE at: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6505859 ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other worksUsage metrics
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