Abstract
The paradigm of connected vehicles is fast gaining lot of attraction in the automotive industry. Recently, a lot of technological innovation has been pushed through to realize this paradigm using vehicle to cloud (V2C), infrastructure (V2I) and vehicle (V2V) communications. This has also opened the doors for efficient delivery of data/service to the vehicles via edge devices that are closer to the vehicles. In this work, we propose an optimization framework that can be used to deliver data/service to the connected vehicles such that a bandwidth cost objective is optimized. For the first time, we also integrate a vehicle flow model in the optimization framework to model the traffic flow in the coverage area of the edges. Using the optimization framework, we study the variation of the optimal bandwidth cost for varying problem sizes and vehicle flow model parameter values for both data and service delivery.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services |
| Publisher | IEEE Computer Society |
| Pages | 106-113 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781538672358 |
| DOIs | |
| State | Published - 7 Sep 2018 |
| Event | 11th IEEE International Conference on Cloud Computing, CLOUD 2018 - San Francisco, United States Duration: 2 Jul 2018 → 7 Jul 2018 |
Publication series
| Name | IEEE International Conference on Cloud Computing, CLOUD |
|---|---|
| Volume | 2018-July |
| ISSN (Print) | 2159-6182 |
| ISSN (Electronic) | 2159-6190 |
Conference
| Conference | 11th IEEE International Conference on Cloud Computing, CLOUD 2018 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 2/07/18 → 7/07/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Bandwidth cost
- Connected vehicles
- Data delivery
- Edge computing
- Service delivery
- V2C
- V2I