Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles  

作　　者：Xin Long Yuning Jiang Zixin Wang Xin Liu Yuanming Shi Yong Zhou 

机构地区：[1]School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China [2]Automatic Control Laboratory,Ecole Polytechnique Federalede Lausanne,Laussane 1015,Switzerland [3]Department of ECE,The Hong Kong University of Science and Technology,Hong Kong 999077,China

出　　处：《Journal of Communications and Information Networks》2025年第1期1-14,共14页通信与信息网络学报(英文)

基　　金：supported in part by the National Nature Science Foundation of China under Grant 62271318;Shanghai Rising-Star Program under Grant 22QA1406100.

摘　　要：Autonomous vehicles(AVs)have the potential to enhance road safety,reduce fuel consumption,and alleviate traffic congestion.However,the computational demands of processing large volumes of sensory data for tasks like motion planning and trajectory forecasting impose critical challenges on limited onboard resources of AVs.Mobile edge computing(MEC)offers a solution by offloading these tasks to edge servers located in proximity of the vehicles.When AVs traverse remote areas lacking terrestrial infrastructures,low Earth orbit(LEO)satellites can fill this gap by providing edge computing services.In this paper,we propose a microservice-based framework for MEC-enabled hybrid satellite-terrestrial networks to support AVs.By decomposing monolithic applications into microservices deployed in containers,we enable scalable and flexible computing services.We address the challenges of microservice migration due to the mobility of AVs and LEO satellites by formulating a long-term optimization problem aimed at minimizing task and migration delays.An online Lyapunov-based algorithm is developed to solve this problem,reducing the decision space by scheduling periodic migrations and decomposing it into mixed-integer linear programming.Numerical results demonstrate that our proposed algorithm can achieve a nearly optimal results while maintaining a low execution time.

关 键 词：hybrid satellite-terrestrial network autonomous vehicles microservice migration 

分 类 号：TN929.5[电子电信—通信与信息系统]