@inproceedings{41a9c29d4fb640618f75b48fe887700b,
title = "Cost minimization with offloading to vehicles in two-tier federated edge and vehicular-fog systems",
abstract = "Vehicular-fog system consists of vehicles with computing resources that are mostly under-utilized. Therefore, an edge system may offload some workloads for remote execution at nearby vehicular- fogs. Whether this is cost-effective depends on not only the costs and computation capacities of vehicles but also the amount of workloads and associated latency constraint. In this paper, we consider a two-tier federated Edge and Vehicular- Fog (EVF) architecture and aim to minimize overall cost while meeting latency constraint by setting up an appropriate offloading configuration. We model this to a singleobjective mixed integer programming problem. To solve this mixed integer problem in real time we propose an iterative greedy algorithm using the queuing model. The results show, our proposed architecture reduces the cost of vehicular-fogs by 40{\^a} 45% and the total cost by 35{\^a} 40% compared to the existing architecture and help the edge to provide services beyond its capacity with specified latency constraint.",
keywords = "Cost, Edge, Latency, Offloading, Vehicular-fog",
author = "Lin, {Ying Dar} and Hu, {Jui Chung} and Binayak Kar and Yen, {Li Hsing}",
year = "2019",
month = sep,
doi = "10.1109/VTCFall.2019.8891403",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings",
address = "United States",
note = "90th IEEE Vehicular Technology Conference, VTC 2019 Fall ; Conference date: 22-09-2019 Through 25-09-2019",
}