文章基本信息

标题：An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers
本地全文：下载
作者：Yanjun Shi ; Yijia Guo ; Lingling Lv 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2020
卷号：12
期号：10
页码：172-186
DOI：10.3390/fi12100172
出版社：MDPI Publishing
摘要：The fast development of connected vehicles with support for various V2X (vehicle-to-everything) applications carries high demand for quality of edge services, which concerns microservice deployment and edge computing. We herein propose an efficient resource scheduling strategy to containerize microservice deployment for better performance. Firstly, we quantify three crucial factors (resource utilization, resource utilization balancing, and microservice dependencies) in resource scheduling. Then, we propose a multi-objective model to achieve equilibrium in these factors and a multiple fitness genetic algorithm (MFGA) for the balance between resource utilization, resource utilization balancing, and calling distance, where a container dynamic migration strategy in the crossover and mutation process of the algorithm is provided. The simulated results from Container-CloudSim showed the effectiveness of our MFGA.
关键词：containerized microservice; resource scheduling; edge computing containerized microservice ; resource scheduling ; edge computing