Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 9-16 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781509063253 |
| DOIs | |
| Publication status | Published - 2017 Jun 8 |
| Event | 5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering, MobileCloud 2017 - San Francisco, United States Duration: 2017 Apr 7 → 2017 Apr 9 |
Other
| Other | 5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering, MobileCloud 2017 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 17/4/7 → 17/4/9 |
Keywords
- Cloud computing
- Job scheduling
- Vehicular cloud computing
- Vehicular network
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture