Title :
Enabling green networking with a power down approach
Author :
Mumey, Brendan ; Tang, Jian ; Hashimoto, Saiichi
Author_Institution :
Dept. of Comput. Sci., Montana State Univ., Bozeman, MT, USA
Abstract :
The most straightforward way to reduce network power consumption is to turn off idle links and nodes (switches/routers), which we call the power down approach. In a wired network, especially in a backbone network, many links are actually “bundles” of multiple physical cables and line cards that can be shut down independently. In this paper, we study the following routing problem for green networking in wired networks: Given a set of end-to-end communication sessions, determine how to route data traffic through the network such that total power consumption is minimized by turning off unused cables in bundled links and nodes, subject to the constraint that the traffic demand of each session is satisfied. We present an integer linear programming to provide optimal solutions. We also present two fast and effective heuristic algorithms to solve the problem in polynomial time. It has been shown by simulation results based on the Abilene network and the NSF network that the proposed heuristic algorithms consistently provide close-to-optimal solutions.
Keywords :
computational complexity; heuristic programming; integer programming; linear programming; telecommunication cables; telecommunication network routing; telecommunication traffic; Abilene network; NSF network; backbone network; data traffic routing; end-to-end communication sessions; following routing problem; green networking; heuristic algorithms; integer linear programming; line cards; multiple physical cables; network power consumption reduction; polynomial time; power down approach; wired networks; Green products; Heuristic algorithms; Internet; Power demand; Routing; Simulation; Turning; Green networking; power down; power efficiency; routing;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364006