DocumentCode
679668
Title
Dynamic energy management employing renewable energy sources in IP over DWDM networks
Author
Xin Chen ; Phillips, Chris ; Jiayuan Wang ; Reupp, Sarah
Author_Institution
EECS, Queen Mary, Univ. of London, London, UK
fYear
2013
fDate
29-31 Oct. 2013
Firstpage
70
Lastpage
75
Abstract
The continued growth of energy consumption has been one of the main constraints for the development of the Internet. The increasing emissions of greenhouse gases associated with electricity generation also raise public concern for the environment. In this paper, we propose a dynamic energy management framework employing renewable energy sources in IP over DWDM core networks. The main concept is to combine infrastructure sleeping and virtual router migration to improve the network energy efficiency. By using the energy source information provided by the smart grid, the nodes that are powered by a renewable energy source are selected, where possible, for hosting virtual routers during off-peak hours. Therefore, the energy consumption and CO2 emissions are both reduced. A heuristic algorithm based on a multi-objective evolutionary algorithm is proposed to select appropriate physical platforms to host the virtual routers.
Keywords
evolutionary computation; wavelength division multiplexing; DWDM core networks; IP; dynamic energy management; energy source information; infrastructure sleeping; multiobjective evolutionary algorithm; renewable energy sources; virtual router migration; Air pollution; Energy consumption; Green products; Heuristic algorithms; Power demand; Renewable energy sources;
fLanguage
English
Publisher
ieee
Conference_Titel
Online Conference on Green Communications (GreenCom), 2013 IEEE
Conference_Location
Piscataway, NJ
Type
conf
DOI
10.1109/OnlineGreenCom.2013.6731031
Filename
6731031
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