{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00142347","sets":["581:7706:7712"]},"path":["7712"],"owner":"11","recid":"142347","title":["Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-06-15"},"_buckets":{"deposit":"dd66ae75-64bc-4a3e-838c-3a1bac5c6e4c"},"_deposit":{"id":"142347","pid":{"type":"depid","value":"142347","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks","author_link":["210915","210909","210910","210908","210916","210912","210914","210911","210917","210913"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks"},{"subitem_title":"Development and Evaluation of Congestion Detection System Using Complex Event Processing for Mobile Networks","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：Applications and the Internet in Conjunction with Main Topics of COMPSAC 2014] congestion detection, mobile network, Complex Event Processing, cloud computing","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2015-06-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Nagaoka University of Technology"},{"subitem_text_value":"Nagaoka University of Technology"},{"subitem_text_value":"KDDI R&D Laboratories Inc."},{"subitem_text_value":"KDDI R&D Laboratories Inc."},{"subitem_text_value":"Nagaoka University of Technology"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagaoka University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagaoka University of Technology","subitem_text_language":"en"},{"subitem_text_value":"KDDI R&D Laboratories Inc.","subitem_text_language":"en"},{"subitem_text_value":"KDDI R&D Laboratories Inc.","subitem_text_language":"en"},{"subitem_text_value":"Nagaoka University of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"publish_status":"0","weko_shared_id":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/142347/files/IPSJ-JNL5606007.pdf","label":"IPSJ-JNL5606007"},"date":[{"dateType":"Available","dateValue":"2017-06-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5606007.pdf","filesize":[{"value":"1.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6540a2aa-cd55-431e-893c-d8dfa610749c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroshi, Yamamoto"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tatsuya, Takahashi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Norihiro, Fukumoto"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shigehiro, Ano"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsuyuki, Yamazaki"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroshi, Yamamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tatsuya, Takahashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Norihiro, Fukumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shigehiro, Ano","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katsuyuki, Yamazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"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.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online)\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online)\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2015-06-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"56"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":142347,"updated":"2025-01-20T06:43:42.276755+00:00","links":{},"created":"2025-01-19T00:19:48.650331+00:00"}