Aldraho, Abdelnour and Kist, Alexander A. (2010) Enhanced heuristics to reduce power consumption of networks using weight setting. In: 2010 Southern Region Engineering Conference (SREC 2010), 11-12 Nov 2010, Toowoomba, Australia.
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Energy consumption of communication networks is an important contributor to the ICT sector's greenhouse gas emission footprint. This research project focuses on power consumption reduction of communication networks by dynamically adapting network configuration to traffic demands. This is promising as networks are often under utilised over long periods. In the context of this work, dynamic topologies refers to a method of changing network links and nodes according to traffic loads. In this paper preliminary results are introduced and two simple heuristics are investigated: the Lightest Node First and the Least Loaded Node algorithms. Both generate reduced topologies for given traffic loads with smaller energy footprints than unmodified networks. Initial numerical results are presented for a small sample network of eight nodes with a large set of traffic demands. Depending on overall network utilisation, the algorithms are able to reduce the average network power consumption by up to 50% for this sample network.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||USQ conference. Proceedings available in http://www.usq.edu.au/engsummit/proceedings|
|Uncontrolled Keywords:||dynamic topology; weight setting; power consumption|
|Depositing User:||Dr Alexander Kist|
|Date Deposited:||14 Feb 2011 05:26|
|Last Modified:||03 Jul 2013 00:28|
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