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Performance analysis of energy savings according to traffic patterns in ethernet with rate adaptation

  • Won Hyuk Yang
  • , Dong Ki Kang
  • , Fei Tong
  • , Young Chon Kim*
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Recently, Green IT has attracted much attention to solve economical and environmental problems. To save energy in communication systems, Energy Efficient Ethernet (EEE) has recently begun to explore rate adaptation for energy savings. We study the performance impact of traffic patterns on energy consumption via simulation. To evaluate the energy saving performance according to the traffic patterns, a simulator is designed to generate diverse traffic patterns in Ethernet with rate adaptation by using an OPNET modeler. The designed simulator consists of a Poisson process-based traffic generator, Pareto distribution based ON-OFF generator and Ethernet switch with rate adaptation. Using this simulator, the energy consumption is analyzed in terms of the usage time of links and the energy saving ratio.

    Original languageEnglish
    Title of host publicationUKSim2010 - UKSim 12th International Conference on Computer Modelling and Simulation
    Pages619-624
    Number of pages6
    DOIs
    StatePublished - 2010
    Event12th UKSim International Conference on Modelling and Simulation, UKSim 2010 - Cambridge, United Kingdom
    Duration: 2010.03.242010.03.26

    Publication series

    NameUKSim2010 - UKSim 12th International Conference on Computer Modelling and Simulation

    Conference

    Conference12th UKSim International Conference on Modelling and Simulation, UKSim 2010
    Country/TerritoryUnited Kingdom
    CityCambridge
    Period10.03.2410.03.26

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • EEE
    • Energy saving
    • Ethernet
    • Green IT
    • OPNET
    • Rate adaptation

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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