• DocumentCode
    243381
  • Title

    Modeling of Dynamic Trend of Latency Variations on Mobile Network Using Markov Regime Switching

  • Author

    Yamamoto, Hiroshi ; Hidano, Chie ; Ano, Susumu ; Yamazaki, Kinya

  • Author_Institution
    Nagaoka Univ. of Technol., Nagaoka, Japan
  • fYear
    2014
  • fDate
    21-25 July 2014
  • Firstpage
    55
  • Lastpage
    60
  • Abstract
    An evaluation model that simulates a realistic trend of latency variation is attracting attention for use in simulation studies on large-scale distributed services provided through mobile networks. Therefore, we propose a new modeling method using a Markov regime switching which builds the evaluation model where latency drastically changes with time as in the mobile network. Furthermore, the effectiveness of the proposed modeling method is evaluated based on the measurement result which is collected while the user of the cellular phone moves around within a wide area. The evaluation results helps us to disclose whether or not the evaluation model estimated from the proposed method can accurately estimate dynamics of the mobile network quality.
  • Keywords
    Markov processes; mobile computing; Markov regime switching; cellular phone; evaluation model; large-scale distributed services; latency variation dynamic trend modelling; mobile network quality dynamics estimation; Data models; Markov processes; Mobile communication; Mobile computing; Servers; Switches; Time series analysis; Evaluation Model; Markov Regime Switching; Time Series Analysis; multi-state ARIMA Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
  • Conference_Location
    Vasteras
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2014.13
  • Filename
    6903105