Enabling sleep mode in backbone IP-networks: A criticality-driven tradeoff
Date
2012Indexation documentaire
Informatique généraleSubject
traffic engineering; sleep mode; backbone IP-networks; network devices; communication networks; energy wast; network energy consumption; sleep state; cooperative-game approach; L-Game; Shapley value; energy savingCode JEL
C.C8.C89; C.C6.C63Titre du colloque
IEEE International Conference on Communications (ICC)Date du colloque
06-2012Ville du colloque
OttawaPays du colloque
CanadaTitre de l'ouvrage
2012 IEEE International Conference on Communications (ICC)Nom de l'éditeur
IEEE PressAnnée
2012Nombre total de pages
7186Collections
Métadonnées
Afficher la notice complèteAuteur
Bianzino, Aruna Prem
136290 Institut TELECOM / Télécom ParisTech [Institut TELECOM / Télécom ParisTech]
Chaudet, Claude
136290 Institut TELECOM / Télécom ParisTech [Institut TELECOM / Télécom ParisTech]
Moretti, Stefano
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rougier, Jean-Louis
136290 Institut TELECOM / Télécom ParisTech [Institut TELECOM / Télécom ParisTech]
Chiaraviglio, Luca
118728 Department of Electronics [Torino] [DELEN]
Le Rouzic, Esther
14674 Orange Labs [Lannion]
Type
Nombre de pages du document
5946-5950Résumé en anglais
The energy consumption of network devices, and, as a consequence, of communication networks, is generally independent from their level of utilization, which results in awaste of energy when the network islightly loaded. Ideally the consumption of a network should be proportional to the amount of traffic it conveys. The most straightforward way to enforce such a proportionality between the network energy consumption and its utilization level, is to dynamically adapt the status of network devices to the load, forcing a subset of them to enter a sleep state during the low activity periods. We present in this paper an algorithm to dynamically put links into a sleep state, based on a cooperative-game approach, named “L-Game”. Our approach decides which links can be switched off based on a measure of the criticality of each link expressed as its Shapley value. This measure combines topological aspects and traffic conditions. Simulation results on real network scenarios show that our solution achieves a better trade off between energy saving and Traffic Engineering than other legacy approaches.Related items
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