Energy-Aware Data Centre Management

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Cloud computing is one way in which communications within and between data centres can be optimised by using resources which are physically close to the client, are exposed to lower electricity costs, contribute a smaller carbon footprint or have residual resources sufficient to fulfil Quality of Service requirements. Optimisation of activity involving data centres is a next generation network management objective due to continued growth in the number of plants and volume of operations within, factors which contribute to environmental concerns associated with energy consumption and carbon emissions from data centre facilities when renewable energy resources are not used. In this paper, we present an algorithmic mechanism developed to automate selection of a data centre in response to application requests, the Data Centre (DC) Energy-Efficient Context-Aware Broker (e-CAB). Through integration of the DCe-CAB in a case study scenario, operational improvement through reduction of carbon emission and balancing of other performance-related attributes including delay and financial cost is achieved, validating the DCe-CAB’s positive impact.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages5
DOIs
Publication statusPublished - 28 Jan 2011
EventNational Conference on Communications - Bangalore, India
Duration: 28 Jan 2011 → …

Conference

ConferenceNational Conference on Communications
Period28/01/11 → …

Fingerprint

Carbon footprint
Renewable energy resources
Next generation networks
Carbon
Network management
Cloud computing
Costs
Quality of service
Energy utilization
Electricity
Communication

Keywords

  • Autonomy
  • context-awareness
  • data centre
  • quality of service
  • green networking
  • policy-based management

Cite this

Peoples, Cathryn ; Parr, Gerard ; McClean, Sally. / Energy-Aware Data Centre Management. Unknown Host Publication. 2011.
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abstract = "Cloud computing is one way in which communications within and between data centres can be optimised by using resources which are physically close to the client, are exposed to lower electricity costs, contribute a smaller carbon footprint or have residual resources sufficient to fulfil Quality of Service requirements. Optimisation of activity involving data centres is a next generation network management objective due to continued growth in the number of plants and volume of operations within, factors which contribute to environmental concerns associated with energy consumption and carbon emissions from data centre facilities when renewable energy resources are not used. In this paper, we present an algorithmic mechanism developed to automate selection of a data centre in response to application requests, the Data Centre (DC) Energy-Efficient Context-Aware Broker (e-CAB). Through integration of the DCe-CAB in a case study scenario, operational improvement through reduction of carbon emission and balancing of other performance-related attributes including delay and financial cost is achieved, validating the DCe-CAB’s positive impact.",
keywords = "Autonomy, context-awareness, data centre, quality of service, green networking, policy-based management",
author = "Cathryn Peoples and Gerard Parr and Sally McClean",
year = "2011",
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language = "English",
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Peoples, C, Parr, G & McClean, S 2011, Energy-Aware Data Centre Management. in Unknown Host Publication. National Conference on Communications, 28/01/11. https://doi.org/10.1109/NCC.2011.5734700

Energy-Aware Data Centre Management. / Peoples, Cathryn; Parr, Gerard; McClean, Sally.

Unknown Host Publication. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Energy-Aware Data Centre Management

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AU - Parr, Gerard

AU - McClean, Sally

PY - 2011/1/28

Y1 - 2011/1/28

N2 - Cloud computing is one way in which communications within and between data centres can be optimised by using resources which are physically close to the client, are exposed to lower electricity costs, contribute a smaller carbon footprint or have residual resources sufficient to fulfil Quality of Service requirements. Optimisation of activity involving data centres is a next generation network management objective due to continued growth in the number of plants and volume of operations within, factors which contribute to environmental concerns associated with energy consumption and carbon emissions from data centre facilities when renewable energy resources are not used. In this paper, we present an algorithmic mechanism developed to automate selection of a data centre in response to application requests, the Data Centre (DC) Energy-Efficient Context-Aware Broker (e-CAB). Through integration of the DCe-CAB in a case study scenario, operational improvement through reduction of carbon emission and balancing of other performance-related attributes including delay and financial cost is achieved, validating the DCe-CAB’s positive impact.

AB - Cloud computing is one way in which communications within and between data centres can be optimised by using resources which are physically close to the client, are exposed to lower electricity costs, contribute a smaller carbon footprint or have residual resources sufficient to fulfil Quality of Service requirements. Optimisation of activity involving data centres is a next generation network management objective due to continued growth in the number of plants and volume of operations within, factors which contribute to environmental concerns associated with energy consumption and carbon emissions from data centre facilities when renewable energy resources are not used. In this paper, we present an algorithmic mechanism developed to automate selection of a data centre in response to application requests, the Data Centre (DC) Energy-Efficient Context-Aware Broker (e-CAB). Through integration of the DCe-CAB in a case study scenario, operational improvement through reduction of carbon emission and balancing of other performance-related attributes including delay and financial cost is achieved, validating the DCe-CAB’s positive impact.

KW - Autonomy

KW - context-awareness

KW - data centre

KW - quality of service

KW - green networking

KW - policy-based management

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BT - Unknown Host Publication

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