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  4. Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges.
 
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Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges.

Journal
11th IEEE International Conference on Cloud Computing, CLOUD 2018, San Francisco, CA, USA, July 2-7, 2018
Pages
106-113
Date Issued
2018
Author(s)
Gangadharan, Deepak
Sokolsky, Oleg
Lee, Insup
Kim, BaekGyu
CHUNG-WEI LIN  
Shiraishi, Shinichi
DOI
10.1109/CLOUD.2018.00021
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/488108
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057456361&doi=10.1109%2fCLOUD.2018.00021&partnerID=40&md5=a65dfc3f1a3048be91457921061fe522
URL
https://doi.org/10.1109/CLOUD.2018.00021
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. © 2018 IEEE.
Subjects
Bandwidth cost; Connected vehicles; Data delivery; Edge computing; Service delivery; V2C; V2I
Other Subjects
Automotive industry; Bandwidth; Cloud computing; Edge computing; Vehicles; Connected vehicles; Coverage area; Data delivery; Optimal bandwidths; Optimization framework; Problem size; Service delivery; Technological innovation; Vehicle to vehicle communications
Type
conference paper

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