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An Energy Aware Network Management Approach using Server Profiling in 'Green' Clouds

Peoples, Cathryn, Parr, Gerard, McClean, Sally, Scotney, BW, Morrow, PJ, Chaudhari, Santosh and Theja, Ravi (2012) An Energy Aware Network Management Approach using Server Profiling in 'Green' Clouds. In: IEEE Second Symposium on Network Cloud Computing and Applications, London, UK. IEEE. 8 pp. [Conference contribution]

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Clouds and data centres are significant consumers of power. There are however, opportunities for optimising carbon cost here as resource redundancy is provisioned extensively. Data centre resources, and subsequently clouds which support them, are traditionally organised into tiers; switch-off activity when managing redundant resources therefore occurs in an approach which exploits cost advantages associated with closing down entire network portions. We suggest however, an alternative approach to optimise cloud operation while maintaining application QoS: Simulation experiments identify that network operation can be optimised by selecting servers which process traffic at a rate that more closely matches the packet arrival rate, and resources which provision excessive capacity additional to that required may be powered off for improved efficiency. This recognises that there is a point in server speed at which performance is optimised, and operation which is greater than or less than this rate will not achieve optimisation. A series of policies have been defined in this work for integration into cloud management procedures; performance results from their implementation and evaluation in simulation show improved efficiency by selecting servers based on these relationships.

Item Type:Conference contribution (Paper)
Keywords:autonomic content distribution; cloud data centre; context awareness; dynamic configuration; energy tolerance; policy-based management; NS-2; Opnet; self-managing platform.
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:24221
Deposited By: Dr Cathryn Peoples
Deposited On:03 Jan 2013 09:57
Last Modified:09 Dec 2015 11:09

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