Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks

• Item type: Journal(1)
• 公開日: 2015-06-15
• タイトル: Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks
• タイトル / 言語: en
• タイトル: Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：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 / 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: Nagaoka University of Technology
• 著者所属: KDDI R&D Laboratories Inc.
• 著者所属: KDDI R&D Laboratories Inc.
• 著者所属: Nagaoka University of Technology
• 著者所属(英): en
• 著者所属(英): Nagaoka University of Technology
• 著者所属(英): en
• 著者所属(英): Nagaoka University of Technology
• 著者所属(英): en
• 著者所属(英): KDDI R&D Laboratories Inc.
• 著者所属(英): en
• 著者所属(英): KDDI R&D Laboratories Inc.
• 著者所属(英): en
• 著者所属(英): Nagaoka University of Technology
• 著者名: Hiroshi, Yamamoto; Tatsuya, Takahashi; Norihiro, Fukumoto; Shigehiro, Ano; Katsuyuki, Yamazaki
• 著者名(英): Hiroshi, Yamamoto; Tatsuya, Takahashi; Norihiro, Fukumoto; Shigehiro, Ano; Katsuyuki, Yamazaki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 56, 号 6, 発行日 2015-06-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764