エッジ-クラウド連携制御のためのシステム設計の研究

• Item type: SIG Technical Reports(1)
• 公開日: 2017-05-25
• タイトル: エッジ-クラウド連携制御のためのシステム設計の研究
• タイトル / 言語: en
• タイトル: System design for cooperative edge-cloud computing
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: ネットワーク
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: 京都大学大学院情報学研究科
• 著者所属: 京都大学大学院情報学研究科
• 著者所属: 京都大学大学院情報学研究科
• 著者所属: NTTネットワーク基盤技術研究所
• 著者所属: NTTネットワーク基盤技術研究所
• 著者所属: 広島工業大学情報学部
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): NTT Network Technology Laboratories
• 著者所属(英): en
• 著者所属(英): NTT Network Technology Laboratories
• 著者所属(英): en
• 著者所属(英): Faculty of Applied Information Science, Hiroshima Institute of Technology
• 著者名: 新熊, 亮一; 加藤, 槙悟; 上林, 将大; 池田, 泰弘; 川原, 亮一; 林, 孝典
• 著者名(英): Ryoichi, Shinkuma; Shingo, Kato; Masahiro, Kanbayashi; Yasuhiro, Ikeda; Ryoichi, Kawahara; Takanori, Hayashi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Road traffic congestion is still a serious problem in many countries, creating huge economic and environmental impacts. Delivering fine-grained information on road traffic conditions to vehicles is a straightforward solution to the congestion problem. However, researchers have recently pointed out that a central cloud is problematic for realtime information delivery to drivers because of the non-negligible latency between vehicles and central cloud servers, which is caused by the network distance and communication traffic load between them. This report therefore presents a novel system architecture for predictive road-traffic information delivery in which computing resources at the network edge and the central cloud are cooperatively used to analyze sensing data collected by vehicles on the road. In this report, we also present the mathematical problem formulation of the proposed system architecture for ensuring that the system could successfully deliver road-traffic information at realtime without overflowed computational and network loads. The numerical examination using a real dataset and a realistic network emulator validates our system.(This work is under review by an IEEE conference. This report has been published without review process.)
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Road traffic congestion is still a serious problem in many countries, creating huge economic and environmental impacts. Delivering fine-grained information on road traffic conditions to vehicles is a straightforward solution to the congestion problem. However, researchers have recently pointed out that a central cloud is problematic for realtime information delivery to drivers because of the non-negligible latency between vehicles and central cloud servers, which is caused by the network distance and communication traffic load between them. This report therefore presents a novel system architecture for predictive road-traffic information delivery in which computing resources at the network edge and the central cloud are cooperatively used to analyze sensing data collected by vehicles on the road. In this report, we also present the mathematical problem formulation of the proposed system architecture for ensuring that the system could successfully deliver road-traffic information at realtime without overflowed computational and network loads. The numerical examination using a real dataset and a realistic network emulator validates our system.(This work is under review by an IEEE conference. This report has been published without review process.)
• 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: AN10116224
• 書誌情報: 研究報告マルチメディア通信と分散処理（DPS）; 巻 2017-DPS-171, 号 5, p. 1-4, 発行日 2017-05-25
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8906
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会