Optimising data placement and traffic routing for energy saving in backbone networks
Article
Fang, W., Wang, Z., LIoret, J., Zhang, D. and Yang, Z. 2014. Optimising data placement and traffic routing for energy saving in backbone networks. Transactions on Emerging Telecommunications Technologies. 25 (9), pp. 914-925. https://doi.org/10.1002/ett.2774
Type | Article |
---|---|
Title | Optimising data placement and traffic routing for energy saving in backbone networks |
Authors | Fang, W., Wang, Z., LIoret, J., Zhang, D. and Yang, Z. |
Abstract | The energy consumption of network elements has become a big concern due to the exponential traffic growth and the rapid expansion of communication infrastructures. To deal with this problem, we propose a new approach called Backbone network Energy Saving based on Traffic engineering (BEST), which reduces the power consumption of network elements at the backbone level through jointly optimising data placement and traffic routing. Based on analysis on traffic characteristics, BEST firstly optimises the placement of data services such that the pairwise traffic demands can be better coordinated with the pairwise network costs, in order to minimise the traffic burden imposed on the network elements. Then, BEST optimises the routing of traffic flows and tries to find the minimum-power network subset that must remain active to fulfill the traffic requirements. Efficient heuristics are given by BEST to find an admissible solution when the problem size is very large. The simulation results illustrate the efficacy and efficiency of BEST in energy conservation on backbone networks. |
Publisher | Wiley |
Journal | Transactions on Emerging Telecommunications Technologies |
ISSN | |
Electronic | 2161-3915 |
Publication dates | |
Online | 19 Dec 2013 |
02 Sep 2014 | |
Publication process dates | |
Deposited | 28 May 2015 |
Submitted | 11 Oct 2013 |
Accepted | 16 Nov 2013 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1002/ett.2774 |
Language | English |
https://repository.mdx.ac.uk/item/856w7
31
total views0
total downloads0
views this month0
downloads this month