HVC: A Hybrid Cloud Computing Framework in Vehicular Environments

Jingyun Feng, Zhi Liu, Celimuge Wu, Yusheng Ji

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

As increasingly more applications are deployed in vehicles, how to provide the demanded computational capability becomes crucial. This paper proposes the hybrid vehicular cloud (HVC) framework for cloud computing on the road to increase the computational capability of vehicles by using resources from the centralized cloud, RSU, and neighboring vehicles. The proposed scheme can be used as a general framework for all types of applications. It is able to satisfy various types of job requirements, such as real time or host requirements, and it is adaptive to the dynamic vehicular environment. Specifically, this paper defines the procedures to support the autonomous organization of a vehicular cloud. An online scheduling algorithm is proposed to solve the job assignment problem with the objective of processing more jobs and reducing cellular network usage. Extensive simulations are conducted, and the results show the superiority of the proposed scheme over competing schemes in typical urban scenarios.

本文言語English
ホスト出版物のタイトルProceedings - 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ9-16
ページ数8
ISBN(電子版)9781509063253
DOI
出版ステータスPublished - 2017 6月 8
イベント5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering, MobileCloud 2017 - San Francisco, United States
継続期間: 2017 4月 72017 4月 9

Other

Other5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering, MobileCloud 2017
国/地域United States
CitySan Francisco
Period17/4/717/4/9

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ

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