Performance evaluations of multimedia service function chaining in edge clouds

Kentaro Imagane, Kenji Kanai, Jiro Katto, Toshitaka Tsuda, Hidenori Nakazato

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

As mobile multimedia services have significantly evolved and diversified with the spread of smartphones and Internet of Things (IoT) devices, low-delay multimedia cloud computing is the need of the hour. To address this demand, in this study, we introduce an edge cloud system that equips a multimedia service function chaining capability. A prototype implementation of the proposed edge cloud system has three main features: 1) edge computing deployment by using OpenStack, 2) multimedia service slicing and chaining, and 3) efficient resource management in edge networks. Based on these features, the proposed system achieves lower multimedia processing delay compared to a conventional cloud computing platform. We deploy the proposed system in our laboratory and validate the system performance by using typical multimedia application, such as human detection in video surveillance.

元の言語English
ホスト出版物のタイトルCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1-4
ページ数4
2018-January
ISBN(電子版)9781538647905
DOI
出版物ステータスPublished - 2018 3 16
イベント15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
継続期間: 2018 1 122018 1 15

Other

Other15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
United States
Las Vegas
期間18/1/1218/1/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

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  • これを引用

    Imagane, K., Kanai, K., Katto, J., Tsuda, T., & Nakazato, H. (2018). Performance evaluations of multimedia service function chaining in edge clouds. : CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference (巻 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2018.8319249