Dynamic energy management employing renewable energy sources in IP over DWDM networks

Xin Chen, Chris Phillips, Jiayuan Wang, Sarah Renée Ruepp

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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.
    Original languageEnglish
    Title of host publication2013 IEEE Online Conference on Green Communications (GreenCom)
    PublisherIEEE
    Publication date2013
    Pages70-75
    ISBN (Print)978-1-4799-0354-2
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE Online Conference on Green Communications (GreenCom) - Piscataway, NJ, United States
    Duration: 29 Oct 201331 Oct 2013
    http://www.ieee-greencom.org/

    Conference

    Conference2013 IEEE Online Conference on Green Communications (GreenCom)
    Country/TerritoryUnited States
    CityPiscataway, NJ
    Period29/10/201331/10/2013
    Internet address

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