Context-aware Characterisation of Energy Consumption in Data Centres

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)
107 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages8
ISBN (Print)978-1-4244-9220-6
Publication statusPublished (in print/issue) - 18 Aug 2011
EventIFIP/IEEE International Symposium on Integrated Network Management - Dublin, Ireland
Duration: 18 Aug 2011 → …


OtherIFIP/IEEE International Symposium on Integrated Network Management
Period18/08/11 → …


  • Carbon cost
  • context awareness
  • data centre
  • energy aware management
  • energy tolerant networking
  • 'green' IT.


Dive into the research topics of 'Context-aware Characterisation of Energy Consumption in Data Centres'. Together they form a unique fingerprint.

Cite this