Skip navigation

An investigation into energy efficiency of data centre virtualisation

An investigation into energy efficiency of data centre virtualisation

Pretorius, M., Ghassemian, M. and Ierotheou, C. (2010) An investigation into energy efficiency of data centre virtualisation. In: Proceedings International Conference on P2P, Parallel, Grid, Cloud and Internet Computing 3PGCIC 2010. IEEE Conference Publications . The Institute of Electrical and Electronics Engineers, Inc., CA and NJ, USA. Tokyo, Japan, pp. 157-163. ISBN 978-0-7695-4237-9 (doi:10.1109/3PGCIC.2018.28)

Full text not available from this repository.

Abstract

This paper presents a critical comparison of a virtualised data centre infrastructure and an infrastructure that consists of physical servers. Our investigation shows how virtualisation can better utilise the hardware and consequently reduce the power consumption and carbon emissions.
The case study reports an extensive research phase to identify main reasons for data centre virtualisation. The data centre is then modelled, based on server information from one of the data centres at the University of Greenwich. We emulate a virtualised infrastructure to contrast against the physical infrastructure. These two models are then critically compared and the potential carbon emission reductions and savings are analysed. Our results show that a virtualised data centre infrastructure can potentially reduce carbon emissions by approximately 30%.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings International Conference on P2P, Parallel, Grid, Cloud and Internet Computing 3PGCIC 2010
Additional Information: 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC. Fukuoka, Japan. 4-6 November, 2010.
Uncontrolled Keywords: server virtualisation, green information technology, carbon footprint, data centre energy consumption
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Smart Systems Technologies
Related URLs:
Last Modified: 14 Oct 2016 09:21
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/8514

Actions (login required)

View Item View Item