Dynamic topologies for sustainable and energy efficient traffic routing
Article
Article Title | Dynamic topologies for sustainable and energy efficient traffic routing |
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ERA Journal ID | 22147 |
Article Category | Article |
Authors | Kist, Alexander A. (Author) and Aldraho, Abdelnour (Author) |
Journal Title | Computer Networks |
Journal Citation | 55 (9), pp. 2271-2288 |
Number of Pages | 18 |
Year | 2011 |
Place of Publication | Netherlands |
ISSN | 0169-7552 |
1389-1286 | |
1872-7069 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.comnet.2011.03.008 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1389128611001010 |
Abstract | In light of the global focus on greenhouse gas emissions, energy consumption of communication networks has become an important research area. Networks are major energy consumers and are generally dimensioned for peak loads. For extended periods, resources consume power, but are lightly or unused. This research investigates the concept of dynamic topologies, i.e. networks that adapt their topology according to traffic volume. The key aim of this study is to investigate power reductions that can be achieved by dynamic topologies. It proposes a network transformation and introduces mathematical programming models that results in energy optimal topologies for given traffic loads. This paper focuses on the optimisation problems and investigates gains in static environments. Numerical results are presented for example networks using a large set of traffic matrices. For the test networks, dynamic topologies reduce the average network power consumption, depending on the network load, by approximately 12-52%. |
Keywords | energy efficient networking; network optimisation; network transformation; dynamic topologies |
ANZSRC Field of Research 2020 | 400607. Signal processing |
400604. Network engineering | |
490412. Topology | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Computational Engineering and Science Research Centre |
Faculty of Engineering and Surveying | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0vv6/dynamic-topologies-for-sustainable-and-energy-efficient-traffic-routing
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