• DocumentCode
    33415
  • Title

    A Closed-Form Model for the IEEE 802.3az Network and Power Performance

  • Author

    Bolla, Raffaele ; Bruschi, Roberto ; Carrega, Alessandro ; Davoli, Franco ; Lago, Patricia

  • Author_Institution
    Dept. of Electr., Electron., Telecommun. Eng. & Naval Archit., Univ. of Genoa, Genoa, Italy
  • Volume
    32
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan-14
  • Firstpage
    16
  • Lastpage
    27
  • Abstract
    We propose an analytical model able to accurately estimate both power consumption and network performance indexes of Energy Efficient Ethernet (EEE) links working at the three available speeds under various traffic load patterns and packet size distributions. The model is sufficiently flexible and accurate to consider different traffic parameters; among others, the packet size distribution, the average burst inter-arrival rate, the burst size distribution, etc. With relatively low complexity, since it addresses stationary queue behavior, the analysis allows obtaining the average energy consumption of the link and, unlike previous works, the mean latency time experienced by incoming packets in closed form, without any upper or lower bound approximations. This aspect makes the model suitable to be adopted in optimization frameworks for network design and control purposes. The numerical results of the model are validated against measurements on a real test bench.
  • Keywords
    IEEE standards; local area networks; power aware computing; queueing theory; telecommunication power management; EEE links; IEEE 802.3az network; average burst interarrival rate; burst size distribution; closed-form model; energy efficient Ethernet links; mean latency time; network performance indexes; optimization frameworks; packet size distribution; power consumption; traffic parameters; Analytical models; EPON; Energy consumption; IEEE 802.3 Standards; Power demand; Servers; energy management; ethernet networks; queue modeling;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2014.140103
  • Filename
    6689480