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
Link To Document