Open AccessResearch on deployment method of edge computing gateway based on microservice architecture
Author(s) -
Hai Zhang,
Zhengyi Liu,
Yaoyao Zhang,
Zhan Shou-yi,
Jianjun Yang,
Guixiang Wang,
Yufei Sun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012164
Subject(s) - software deployment , computer science , edge computing , server , enhanced data rates for gsm evolution , gateway (web page) , architecture , default gateway , distributed computing , edge device , computer network , residential gateway , microservices , embedded system , operating system , cloud computing , telecommunications , world wide web , art , visual arts
Traditional solutions that use servers or computers to deploy on-site are bulky and costly. The edge computing system can be deployed in a lightweight and flexible manner according to the actual needs of the site, so as to achieve the lowest cost while meeting the functional requirements. Based on this, this article proposes an edge computing system solution based on microservice architecture, discusses the overall framework of the system and the implementation of microservice architecture in edge computing systems, and introduces in detail an edge computing gateway device deployment method based on the Gaussian mixture model, which can optimize the number of deployed gateway devices while ensuring the load balance of each gateway device. Finally, the advantages of the deployment method are verified through experiments.