Open Access

ARTICLE

Container Application Migration Algorithm in Internet of Vehicles

Xiaoliang Lin^1,*, Junxiao Shi¹, Yanbo Wang¹, Chenyang Liu¹, Bin Lu¹, Siwen Xu²

1 Information and Communication Branch of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, 310007, China
2 Université Paul Sabatier-Toulouse 3, Toulouse, 31062, France

* Corresponding Author: Xiaoliang Lin. Email:

Intelligent Automation & Soft Computing 2021, 29(3), 915-926. https://doi.org/10.32604/iasc.2021.018513

Received 11 March 2021; Accepted 25 April 2021; Issue published 01 July 2021

Abstract

Internet of Vehicles (IoV) is a popular application scenario that combines edge computing and the Internet of Things. Among them, service migration caused by IoV application mobility is a research hotspot in this field. This paper studies the migration strategy of container applications based on edge computing in the IoV business scenario. In order to solve the difficulty in selecting the target server of the application to be migrated in the crossroads scenario, this paper converts the migration decision to the shortest path problem based on dynamic programming, and obtains the best migration choice at the current time by finding the migration path with the least total cost in a limited observation time, then use the container live migration technology to implement application pre-deployment, thereby greatly reducing service downtime, and enabling user-unaware application migration. Simulation results show that the dynamic programming method proposed in this paper reduces the long-term average migration total cost by 33.88% and 24.53%, respectively, compared to the nearest selection method and the local optimal method.

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Keywords

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