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Context-aware Characterisation of Energy Consumption in Data Centres

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Peoples, Cathryn, Parr, Gerard and McClean, Sally (2011) Context-aware Characterisation of Energy Consumption in Data Centres. In: IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland. IEEE. 8 pp. [Conference contribution]

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DOI: 10.1109/INM.2011.5990573

Abstract

Carbon emissions are recelvmg increased attention and scrutiny in all walks of life and the ICT sector is no exception. With the increase in on-demand applications and services together with on-demand compute/storage facilities in server farms or data centres there are self-evident increases in the power requirements to maintain such systems. Proponents of the impact of increased carbon emissions when powering electrical systems in general however, regularly impress negative side-effects such as influence on climate change. Action is subsequently being encouraged to halt further environmentaldamage. The problem is explored in this paper from the point of view of carbon emissions from data centre operations and the development of energy-aware management and energy-efficient networking solutions. Data centre energy consumption costs drive the evaluation process within a Data Centre EnergyEfficient Context-Aware Broker (DCe-CAB) algorithm designed as an original solution to this significant carbon-contributingnetwork scenario. In this paper, performance requirements and objectives of the DCe-CAB are defined, along with case study demonstration of the way in which it optimises selection and operation of data centres using context-awareness.

Item Type:Conference contribution (Paper)
Keywords:Carbon cost, context awareness, data centre, energy aware management, energy tolerant networking, 'green' IT.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:21144
Deposited By:Dr Cathryn Peoples
Deposited On:05 Mar 2012 16:00
Last Modified:05 Mar 2012 16:00

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