• DocumentCode
    3321263
  • Title

    Modeling power consumption for DVFS policies

  • Author

    Rossi, Fabio Diniz ; Storch, Mauro ; de Oliveira, Israel ; De Rose, Cesar A. F.

  • Author_Institution
    Comput. Sci. Sch., Pontifical Catholic Univ. of Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    1879
  • Lastpage
    1882
  • Abstract
    Power-aware management strategies are a trend towards achieving energy-efficient computing environments. One of the approaches behind those strategies is dynamic frequency and voltage scaling (DVFS). Since frequency adjustments may have a negative impact on system performance, users often have to experiment with these policies to find the optimal configuration for their application and energy reduction goals. While the performance impact can be easily measured by the total execution time of an application, power consumption measurements require additional logging and frequently external equipment. The following paper presents a mathematical model to help users estimate the power consumption of their application when using different DVFS policies. A preliminary evaluation shows that the model has 94% accuracy when compared against real-time measurements.
  • Keywords
    computer networks; mathematical analysis; power aware computing; DVFS policies; dynamic frequency and voltage scaling; power-aware management strategy; Biological system modeling; Computational modeling; Mathematical model; Power demand; Power measurement; Time-frequency analysis; DVFS; modeling; power consumption; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169024
  • Filename
    7169024