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  1. JIP
  2. Vol.23
  3. No.4

Modeling of Dynamic Latency Variations Using Auto-Regressive Model and Markov Regime Switching for Mobile Network Access on Trains

https://ipsj.ixsq.nii.ac.jp/records/144462
https://ipsj.ixsq.nii.ac.jp/records/144462
5fae7350-a692-48ac-b2ee-98fc38be4958
名前 / ファイル ライセンス アクション
IPSJ-JIP2304006.pdf IPSJ-JIP2304006.pdf (1.6 MB)
Copyright (c) 2015 by the Information Processing Society of Japan
オープンアクセス
Item type JInfP(1)
公開日 2015-07-15
タイトル
タイトル Modeling of Dynamic Latency Variations Using Auto-Regressive Model and Markov Regime Switching for Mobile Network Access on Trains
タイトル
言語 en
タイトル Modeling of Dynamic Latency Variations Using Auto-Regressive Model and Markov Regime Switching for Mobile Network Access on Trains
言語
言語 eng
キーワード
主題Scheme Other
主題 [Special Issue of Applications and the Internet in Conjunction with Main Topics of COMPSAC 2014] evaluation model, time series analysis, Markov Regime Switching, multi-state ARIMA model
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Nagaoka University of Technology
著者所属
KDDI R&D Labs. Inc.
著者所属
Nagaoka University of Technology
著者所属(英)
en
Nagaoka University of Technology
著者所属(英)
en
KDDI R&D Labs. Inc.
著者所属(英)
en
Nagaoka University of Technology
著者名 Hiroshi, Yamamoto

× Hiroshi, Yamamoto

Hiroshi, Yamamoto

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Shigehiro, Ano

× Shigehiro, Ano

Shigehiro, Ano

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Katsuyuki, Yamazaki

× Katsuyuki, Yamazaki

Katsuyuki, Yamazaki

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著者名(英) Hiroshi, Yamamoto

× Hiroshi, Yamamoto

en Hiroshi, Yamamoto

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Shigehiro, Ano

× Shigehiro, Ano

en Shigehiro, Ano

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Katsuyuki, Yamazaki

× Katsuyuki, Yamazaki

en Katsuyuki, Yamazaki

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論文抄録
内容記述タイプ Other
内容記述 User's experience of network services using large-scale distributed systems is markedly affected by a network condition (i.e., network latency) between a user terminal and a server. In a mobile environment, the network latency fluctuates because a mobile node on the cellular network frequently changes its access network than before when handover or offloading occurs due to users movement on a real world. Many researchers attempt to perform simulation studies on large-scale distributed services provided through mobile networks for revealing the impact of the network condition on the service performance, hence an evaluation model that simulates a realistic state change of latency variation is attracting attention. However, existing studies have assumed only a condition where the tendency of latency variation never changes. Therefore, we propose a new modeling method using a Markov Regime Switching which builds a realistic evaluation model which can represent the dynamic change of the mobile network state. Furthermore, the effectiveness of the proposed modeling method is evaluated based on the actual latency dataset which is collected while a user of a cellular phone moves around within a wide area. Here, with a wide spread of smart phones and tablets in recent years, the Internet connection has become able to be utilized through a cellular and a WiFi network while the mobile user is moving by various kinds of transportation (e.g., train, car). In this study, as a typical example of the transportation, we focus on the Yamanote Line which is the most famous railway loop line used by a large number of office workers in Japan, hence the target dataset which is measured when the mobile user gets on the Yamanote Line is analyzed by the modeling method for building the evaluation model. The evaluation results help us to disclose whether or not the evaluation model constructed by the proposed modeling method can accurately estimate the dynamic variation of the mobile network quality.
論文抄録(英)
内容記述タイプ Other
内容記述 User's experience of network services using large-scale distributed systems is markedly affected by a network condition (i.e., network latency) between a user terminal and a server. In a mobile environment, the network latency fluctuates because a mobile node on the cellular network frequently changes its access network than before when handover or offloading occurs due to users movement on a real world. Many researchers attempt to perform simulation studies on large-scale distributed services provided through mobile networks for revealing the impact of the network condition on the service performance, hence an evaluation model that simulates a realistic state change of latency variation is attracting attention. However, existing studies have assumed only a condition where the tendency of latency variation never changes. Therefore, we propose a new modeling method using a Markov Regime Switching which builds a realistic evaluation model which can represent the dynamic change of the mobile network state. Furthermore, the effectiveness of the proposed modeling method is evaluated based on the actual latency dataset which is collected while a user of a cellular phone moves around within a wide area. Here, with a wide spread of smart phones and tablets in recent years, the Internet connection has become able to be utilized through a cellular and a WiFi network while the mobile user is moving by various kinds of transportation (e.g., train, car). In this study, as a typical example of the transportation, we focus on the Yamanote Line which is the most famous railway loop line used by a large number of office workers in Japan, hence the target dataset which is measured when the mobile user gets on the Yamanote Line is analyzed by the modeling method for building the evaluation model. The evaluation results help us to disclose whether or not the evaluation model constructed by the proposed modeling method can accurately estimate the dynamic variation of the mobile network quality.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA00700121
書誌情報 Journal of information processing

巻 23, 号 4, p. 420-429, 発行日 2015-07-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-6652
出版者
言語 ja
出版者 情報処理学会
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Hiroshi, Yamamoto, Shigehiro, Ano, Katsuyuki, Yamazaki, 2015: 情報処理学会, 420–429 p.

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