• DocumentCode
    1915475
  • Title

    Towards Energy Efficient Data Intensive Computing Using IEEE 802.3az

  • Author

    Pavlov, Dimitar ; Soeurt, Joris ; Grosso, Paola ; Zhiming Zhao ; van der Veldt, Karel ; Hao Zhu ; de Laat, Cees

  • Author_Institution
    Syst. & Network Eng. Res. Group, Univ. of Amsterdam, Amsterdam, Netherlands
  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    806
  • Lastpage
    810
  • Abstract
    Energy efficiency is an increasingly important requirement for computing and communication systems, especially with their increasing pervasiveness. The IEEE 802.3az protocol reduces the network energy consumption by turning active copper Ethernet links to a low power model when no traffic exists. However, the effect of 802.3az heavily depends on the network traffic patterns which makes system level energy optimization challenging. In clusters, distributed data intensive applications that generate heavy network traffic are common, and in turn the required network devices can consume large amounts of energy. In this research, we examined the 802.3az technology with the goal of applying it in clusters. We defined an energy budget calculator that takes energy-efficient Ethernet into account by including the energy models derived from tests of 802.3az enabled devices. The calculator is an integral tool in a global strategy to optimize the energy usage of applications in a high performance computing environment. We show a few practical examples of how real applications can better plan their execution by integrating this knowledge in their decision strategies.
  • Keywords
    energy conservation; local area networks; parallel processing; power aware computing; protocols; Ethernet link; IEEE 802.3az protocol; data intensive computing; distributed data intensive application; energy budget calculator; energy efficiency; energy optimization; energy usage; energy-efficient Ethernet; high performance computing environment; network traffic pattern; Data intensive applications; Energy efficient computing; IEEE 802.3az;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4673-6218-4
  • Type

    conf

  • DOI
    10.1109/SC.Companion.2012.112
  • Filename
    6495894