Performance evaluations of multimedia service function chaining in edge clouds

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538647905
DOIs
Publication statusPublished - 2018 Mar 16
Event15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
Duration: 2018 Jan 122018 Jan 15

Other

Other15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
CountryUnited States
CityLas Vegas
Period18/1/1218/1/15

Keywords

  • Edge computing
  • Multimedia processing
  • Multimedia service slicing
  • OpenStack
  • Service function chaining

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

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