Cost minimization with offloading to vehicles in two-tier federated edge and vehicular-fog systems

Ying Dar Lin, Jui Chung Hu, Binayak Kar, Li Hsing Yen

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

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 40â 45% and the total cost by 35â 40% compared to the existing architecture and help the edge to provide services beyond its capacity with specified latency constraint.

原文English
主出版物標題2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728112206
DOIs
出版狀態Published - 九月 2019
事件90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
持續時間: 22 九月 201925 九月 2019

出版系列

名字IEEE Vehicular Technology Conference
2019-September
ISSN(列印)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
國家/地區United States
城市Honolulu
期間22/09/1925/09/19

指紋

深入研究「Cost minimization with offloading to vehicles in two-tier federated edge and vehicular-fog systems」主題。共同形成了獨特的指紋。

引用此