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基于树莓派4B的云原生Kubernetes计算集群实验设计

Experimental design of cloud native Kubernetes computing cluster based on Raspberry Pi 4B
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摘要 基于三台树莓派4B单板计算机,搭建了包含一个Master节点和两个Node节点的Kubernetes计算集群,实现了云原生应用的便捷部署、自动编排和可靠运行。首先构建微服务组件,然后基于Docker实现组件程序容器化,最后将微服务系统部署于Kubernetes集群,实现了自动伸缩、负载均衡、资源调度和可观察性等服务治理特性。该实验涵盖了云原生程序从开发到容器化、再到集群部署并提供服务的全过程,并且以低成本的树莓派4B裸金属机器为集群硬件设施,实现了完整本地物理集群的构建。学生通过该实验的学习实践,能够更好地掌握云计算集群的设计思想和实践经验,更全面地理解云原生服务的概念、原理和构建方法。 Based on three Raspberry Pi 4B single board computers,a Kubernetes computing cluster consisting of one Master node and two Node nodes was built,achieving convenient deployment,automatic orchestration,and reliable operation of cloud native applications.Firstly,this experiment constructs microservice components,then implements component program containerization based on Docker.Finally,the experiment deploys the microservice system in the Kubernetes cluster to achieve service governance features such as automatic scaling,load balancing,resource scheduling and observability.The experiment covers the entire process of cloud native program development,containerization,deployment,and service provision,and uses low-cost Raspberry Pi 4B bare metal machines as the hardware infrastructure of the cluster to achieve the construction of a complete local physical cluster.Through the learning and practice of this experiment,students can better grasp the design ideas and practical experience of cloud computing clusters,and have a more comprehensive understanding of the concepts,principles,and construction methods of cloud native services.
作者 申赞伟 刘彦博 郭子康 张峰 SHEN Zanwei;LIU Yanbo;GUO Zikang;ZHANG Feng(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处 《实验技术与管理》 CAS 北大核心 2023年第11期64-70,共7页 Experimental Technology and Management
基金 教育部阿里云产学合作协同育人项目(220600643165804) 上海交通大学决策咨询课题(JCZXSJB2022-08) 教育部供需对接就业育人项目(20220106373,20220102556,20220104444) 上海交通大学教学发展基金(CTLD22J 0066)。
关键词 树莓派4B 微服务 云原生 计算集群 Raspberry Pi 4B microservice cloudnative computing cluster
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