Item type |
JInfP(1) |
公開日 |
2015-07-15 |
タイトル |
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タイトル |
Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks |
タイトル |
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言語 |
en |
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タイトル |
Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
[Special Issue of Applications and the Internet in Conjunction with Main Topics of COMPSAC 2014] congestion detection, mobile network, Complex Event Processing, cloud computing |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
著者所属 |
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Nagaoka University of Technology |
著者所属 |
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Nagaoka University of Technology |
著者所属 |
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KDDI R&D Laboratories Inc. |
著者所属 |
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KDDI R&D Laboratories Inc. |
著者所属 |
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Nagaoka University of Technology |
著者所属(英) |
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en |
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Nagaoka University of Technology |
著者所属(英) |
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en |
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Nagaoka University of Technology |
著者所属(英) |
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en |
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KDDI R&D Laboratories Inc. |
著者所属(英) |
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en |
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KDDI R&D Laboratories Inc. |
著者所属(英) |
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en |
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Nagaoka University of Technology |
著者名 |
Hiroshi, Yamamoto
Tatsuya, Takahashi
Norihiro, Fukumoto
Shigehiro, Ano
Katsuyuki, Yamazaki
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著者名(英) |
Hiroshi, Yamamoto
Tatsuya, Takahashi
Norihiro, Fukumoto
Shigehiro, Ano
Katsuyuki, Yamazaki
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
A congestion detection on mobile networks becomes the main challenge of cellular carriers and mobile network providers because the mobile network quality easily degrades when many users concentrate on a limited place. Especially when a large-scale event is held, a heavy network congestion interferes with the communication of the participants and local residents. Therefore, the congestion detection process has been performed by several network providers, but has been executed on a high-performance computing resource in a centralized manner, which markedly increases the computing cost. On the other hand, with the wide spread of a large-scale distributed computing environment (e.g., cloud computing), a Complex Event Processing (CEP) system has recently been made available for several purposes. The CEP is a distributed computing system which can identify meaningful events by analyzing a large amount of data stream (e.g., sensor data) in real time. Here, the congestion detection can be considered as a suitable application for the CEP system, where a large amount of traffic logs (i.e., data streams) should rapidly be analyzed in order to detect network congestions (i.e., meaningful events). Therefore, in this study, we propose a new system structure of the CEP-based congestion detection system using distributed computing resources. In the proposed system, processing components are deployed on multiple resources, and execute independent tasks that are carefully extracted from a system procedure of the congestion detection. Through experimental evaluation using computing resources on a popular cloud service (Amazon EC2), it is disclosed that the CEP-based system contributes to achieve the real time detection of congestions on the mobile networks. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
A congestion detection on mobile networks becomes the main challenge of cellular carriers and mobile network providers because the mobile network quality easily degrades when many users concentrate on a limited place. Especially when a large-scale event is held, a heavy network congestion interferes with the communication of the participants and local residents. Therefore, the congestion detection process has been performed by several network providers, but has been executed on a high-performance computing resource in a centralized manner, which markedly increases the computing cost. On the other hand, with the wide spread of a large-scale distributed computing environment (e.g., cloud computing), a Complex Event Processing (CEP) system has recently been made available for several purposes. The CEP is a distributed computing system which can identify meaningful events by analyzing a large amount of data stream (e.g., sensor data) in real time. Here, the congestion detection can be considered as a suitable application for the CEP system, where a large amount of traffic logs (i.e., data streams) should rapidly be analyzed in order to detect network congestions (i.e., meaningful events). Therefore, in this study, we propose a new system structure of the CEP-based congestion detection system using distributed computing resources. In the proposed system, processing components are deployed on multiple resources, and execute independent tasks that are carefully extracted from a system procedure of the congestion detection. Through experimental evaluation using computing resources on a popular cloud service (Amazon EC2), it is disclosed that the CEP-based system contributes to achieve the real time detection of congestions on the mobile networks. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA00700121 |
書誌情報 |
Journal of information processing
巻 23,
号 4,
p. 430-440,
発行日 2015-07-15
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1882-6652 |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |