https://scholars.lib.ntu.edu.tw/handle/123456789/488108
標題: | Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges. | 作者: | Gangadharan, Deepak Sokolsky, Oleg Lee, Insup Kim, BaekGyu CHUNG-WEI LIN Shiraishi, Shinichi |
關鍵字: | Bandwidth cost; Connected vehicles; Data delivery; Edge computing; Service delivery; V2C; V2I | 公開日期: | 2018 | 起(迄)頁: | 106-113 | 來源出版物: | 11th IEEE International Conference on Cloud Computing, CLOUD 2018, San Francisco, CA, USA, July 2-7, 2018 | 摘要: | 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. |
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 |
DOI: | 10.1109/CLOUD.2018.00021 | SDG/關鍵字: | 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 |
顯示於: | 資訊工程學系 |
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