实验科学与技术2026，Vol.24Issue(2)：18-22,33,6.DOI:10.12179/1672-4550.20250284
面向远程实验的超融合平台设计与实现
Design and Implementation of HCI Platform for Remote Experiments
摘要
Abstract
This paper designs and implements a remote experiment platform based on hyper-converged infrastructure and virtual private network technology.The platform addresses limitations of traditional platforms in resource allocation,data storage,and network stability.By adopting key technologies such as distributed computing,software-defined storage,high-availability clusters,and intelligent load balancing,the platform significantly improves reliability and resource utilization.A Markov chain is used to model fault recovery capability,and the M/G/1 queuing model is applied to optimize the load capacity of node servers.Experimental results show that the platform achieves significant improvements in data access latency,fault recovery time,and concurrent processing capability compared with conventional infrastructure.Teaching practice feedback is positive,indicating considerable application potential.关键词
远程实验/超融合架构/虚拟专用网络/软件定义存储/马尔可夫链Key words
remote experiment/hyper converged infrastructure/virtual private network/software-defined storage/Markov chain分类
信息技术与安全科学引用本文复制引用
焦文欢,仇晓锐..面向远程实验的超融合平台设计与实现[J].实验科学与技术,2026,24(2):18-22,33,6.基金项目
中国交通教育研究会教育科学研究重点课题A类(JT2024ZD016) （JT2024ZD016）
中国民航大学实验技术创新基金项目(2024CXJJ08). （2024CXJJ08）
