• DocumentCode
    2865759
  • Title

    Profiling Energy Consumption of VMs for Green Cloud Computing

  • Author

    Chen, Qingwen ; Grosso, Paola ; van der Veldt, Karel ; de Laat, Cees ; Hofman, Rutger ; Bal, Henri

  • Author_Institution
    Syst. & Network Eng. Res. Group, Univ. of Amsterdam, Amsterdam, Netherlands
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    768
  • Lastpage
    775
  • Abstract
    The Green Clouds project in the Netherlands investigates a system-level approach towards greening High-Performance Computing (HPC) infrastructures and clouds. In this paper we present our initial results in profiling virtual machines with respect to three power metrics, i.e. power, power efficiency and energy, under different high performance computing workloads. We built a linear power model that represents the behavior of a single work node and includes the contribution from individual components, i.e. CPU, memory and HDD, to the total power consumption of a single work node. Our results could be part of a power characterization module integrated into clusters´ monitoring systems, future Green Clouds energy-savvy scheduler would use this monitoring system to support system-level optimization.
  • Keywords
    cloud computing; optimisation; power aware computing; virtual machines; GreenClouds project; Netherlands; VM; energy consumption profiling; future GreenClouds energy-savvy scheduler; green cloud computing; high-performance computing infrastructures; linear power model; monitoring system; power efficiency; system-level approach; system-level optimization; total power consumption; virtual machines; Benchmark testing; Energy consumption; Green products; Measurement; Memory management; Power demand; Stress; Cloud Computing; Energy-efficient computing; Green Clouds; Kernel-based Virtual Machine (KVM); Power benchmark; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-0006-3
  • Type

    conf

  • DOI
    10.1109/DASC.2011.131
  • Filename
    6118905