CFC-ITS

Context-Aware Fog Computing for Intelligent Transportation Systems

Quang Tran Minh, Eiji Kamioka, Shigeki Yamada

Research output: Contribution to journalArticle

Abstract

This paper proposes a novel context-Aware fog computing framework for intelligent transportation systems (ITS) called CFC-ITS. This scheme consists of multiple intelligent tiers: Internet of Things tier, fog service tier, and global cloud service tier supporting edge analytics for ITS services in a connected car environment. Each tier on the fog senses different contexts like location, time, available resources, and estimated response time for efficiently processing tasks to provide delay-sensitive services while optimizing virtualized resources. A preliminary prototype and a testbed for this study were built to validate the robustness of the proposed approach.

Original languageEnglish
Article number8617768
Pages (from-to)35-44
Number of pages10
JournalIT Professional
Volume20
Issue number6
DOIs
Publication statusPublished - 2018 Nov 1

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Chlorofluorocarbons
Fog
Testbeds
Railroad cars
Processing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Science Applications

Cite this

CFC-ITS : Context-Aware Fog Computing for Intelligent Transportation Systems. / Minh, Quang Tran; Kamioka, Eiji; Yamada, Shigeki.

In: IT Professional, Vol. 20, No. 6, 8617768, 01.11.2018, p. 35-44.

Research output: Contribution to journalArticle

Minh, Quang Tran ; Kamioka, Eiji ; Yamada, Shigeki. / CFC-ITS : Context-Aware Fog Computing for Intelligent Transportation Systems. In: IT Professional. 2018 ; Vol. 20, No. 6. pp. 35-44.
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