CFC-ITS: Context-Aware Fog Computing for Intelligent Transportation Systems

Quang Tran Minh, Eiji Kamioka, Shigeki Yamada

研究成果: Article査読

20 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号8617768
ページ(範囲)35-44
ページ数10
ジャーナルIT Professional
20
6
DOI
出版ステータスPublished - 2018 11月 1

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ サイエンスの応用

フィンガープリント

「CFC-ITS: Context-Aware Fog Computing for Intelligent Transportation Systems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル