2014
DOI: 10.1155/2014/910658
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Evaluation of Power Saving and Feasibility Study of Migrations Solutions in a Virtual Router Network

Abstract: The power consumption of the network equipment has increased significantly and some strategies to contain the power used in the IP network are needed. Among the green networking strategies, the virtualization class and in particular the deployment of migrating virtual routers can lead to a high energy saving. It consists in migrating virtual routers in fewer physical nodes when the traffic decreases allowing for a power consumption saving. In this paper we formulate the problem of minimizing the power consumpt… Show more

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Cited by 7 publications
(3 citation statements)
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“…It is well known the VR migration problem belongs to the NP-Hard class and it can be solved just for substrate/virtual networks with few nodes. In this paper we propose an extension of a previous heuristic, referred as Maximum Energy Efficiency (MEE) [2]. The main limitation of MEE is to try the turning off of only a subset of substrate nodes, the ones that at a given instant host one VR only.…”
Section: Mee Heuristic For Resource Consolidation In a Virtual Romentioning
confidence: 99%
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“…It is well known the VR migration problem belongs to the NP-Hard class and it can be solved just for substrate/virtual networks with few nodes. In this paper we propose an extension of a previous heuristic, referred as Maximum Energy Efficiency (MEE) [2]. The main limitation of MEE is to try the turning off of only a subset of substrate nodes, the ones that at a given instant host one VR only.…”
Section: Mee Heuristic For Resource Consolidation In a Virtual Romentioning
confidence: 99%
“…The consequent growth of network equipment made sure that IP energy consumption became a not negligible factor and the economical and environmental implications have stimulated the researchers to study this problem [1], [2]. The modern IP network suffers also from the well known ossification problem.…”
Section: Introductionmentioning
confidence: 99%
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