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Performance Evaluation of Green Data Centre Management Supporting Sustainable Growth of the Internet of Things

Peoples, Cathryn, Parr, Gerard, McClean, Sally, Scotney, BW and Morrow, PJ (2013) Performance Evaluation of Green Data Centre Management Supporting Sustainable Growth of the Internet of Things. Simulation Modelling Practice and Theory, 34 . pp. 221-242. [Journal article]

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DOI: 10.1016/j.simpat.2012.12.008


Network management is increasingly being customised for green objectives due to roll out of mission-critical applications across the internet of things and execution, in a number of cases, on battery-constrained devices. In addition, the volume of operations across the internet of things is attracting climate change concerns. While operational efficiency of wireless devices and in data centres (which support operation of the internet of things) should not be achieved at the expense of Quality of Service, optimisation opportunities should be exploited and inefficient resource use minimised. Green networking approaches however, are not yet standardised, and there is scope for novel middleware architectures. In this paper, we explore operational efficiency from the perspective of activities in data centres which support the internet of things. This includes evaluation of the effectiveness of mechanisms integrated into the e-CAB framework, an algorithm proposed by the authors to manage next generation data centres with green objectives. A selection of its policy mechanisms have been implemented in the NS-2 Network Simulator to evaluateperformance; configuration decisions are described in this paper and presented alongsideexperimental results which demonstrate optimisations achieved. Focus lies, in particular,on rate adaptation of its context discovery protocol which is responsible for capturingreal-time network state. Performance results reveal a small overhead when applying networkmanagement and validate improved efficiency through adaption in response to environmentdynamics.

Item Type:Journal article
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:25842
Deposited By: Dr Cathryn Peoples
Deposited On:26 Apr 2013 10:25
Last Modified:20 May 2015 13:49

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