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引用本文:游钐栗,熊卫华,应 繁.基于服务器虚拟化的智慧云桌面系统设计与应用[J].软件工程,2022,25(10):54-58.【点击复制】
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基于服务器虚拟化的智慧云桌面系统设计与应用
游钐栗,熊卫华,应 繁
(浙江理工大学机械与自动控制学院,浙江 杭州 310018)
812044391@qq.com; xiongwh@zstu.edu.cn; yingfan0623@163.com
摘 要: 针对传统桌面环境硬件资源利用率低且多元化分配效果差等特点,设计出一种基于服务器虚拟化技术和FFmpeg音视频处理技术相结合的智慧云桌面系统。该系统的设计初衷是将互联网与高校教学办公相结合,实现校园内智慧云办公和线上直播教学等功能。系统通过Proxmox VE虚拟化环境搭建后台服务器,采用FFmpeg作为音视频数据处理的技术框架,并通过对框架的优化,缩短了直播教学中的延迟。最后,通过测试证明云桌面系统能够有效地缓解传统桌面在资源管理和设备成本等方面的问题,其线上直播教学模块的播放延迟能够控制在100 毫秒以下,提高了校园环境下的协同办公、直播教学以及实验室信息化建设的便捷性和实用性。
关键词: 云桌面;服务器虚拟化;FFmpeg;音视频;直播教学
中图分类号: TP311    文献标识码: A
Design and Application of Intelligent Cloud Desktop System based on Server Virtualization
YOU Shanli, XIONG Weihua, YING Fan
(School of Mechanical and Automatic Control, Zhejiang Sci -Tech University, Hangzhou 310018, China )
812044391@qq.com; xiongwh@zstu.edu.cn; yingfan0623@163.com
Abstract: Aiming at low utilization of hardware resources and poor diversified distribution effect of traditional desktop environment, this paper proposes to design an intelligent cloud desktop system based on the combination of server virtualization technology and FFmpeg audio and video processing technology. The original intention of designing the system is to combine the Internet with university teaching office, realizing the functions of intelligent cloud office and online live teaching on campus. The backend server of the system is built through Proxmox VE virtualization environment, FFmpeg is adopted as the technical framework for audio and video data processing, and the delay in live teaching is shortened through the optimization of the framework. Finally, it is proved through testing that the proposed cloud desktop system can effectively alleviate the problems of traditional desktops in terms of resource management and equipment cost, and the playback delay of its online live teaching module can be controlled below 100 milliseconds, which improves the convenience and practicality of collaborative office work, live teaching and laboratory information construction in the campus environment.
Keywords: cloud desktop; server virtualization; FFmpeg; audio and video; live teaching


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