Linux系统在边缘计算中的部署与优化
摘 要
随着物联网技术的迅猛发展，边缘计算作为解决海量数据处理与实时响应需求的关键技术应运而生。本研究聚焦于Linux系统在边缘计算环境中的部署与优化问题，旨在通过系统性优化提升边缘节点的计算性能和资源利用率。研究基于开源Linux内核，针对边缘设备硬件资源有限的特点，提出了一种轻量级容器化部署方案，并结合动态资源调度算法实现对计算资源的高效管理。通过对内存管理机制、进程调度策略以及网络通信协议的优化调整，有效降低了系统开销，提高了任务执行效率。实验结果表明，在典型边缘应用场景下，所提出的优化方案能够将平均响应时间缩短30%，系统吞吐量提升45%。此外，该方案还具备良好的可扩展性和兼容性，能够在不同类型的边缘设备上稳定运行。
关键词：边缘计算 Linux系统优化 轻量级容器化部署
Abstract
With the rapid development of the Internet of Things technology, edge computing emerges as a key technology to solve the needs of massive data processing and real-time response. This study focuses on the deployment and optimization of Linux system in the edge computing environment, aiming to improve the computing performance and resource utilization of edge nodes through systematic optimization. Based on the open source Linux kernel, this paper proposes the efficient management of computational resources and combines the dynamic resource scheduling algorithm. By optimizing and adjusting the memory management mechanism, process scheduling strategy and network communication protocol, the system overhead is effectively reduced and the task execution efficiency is improved. The experimental results show that the proposed optimization scheme can shorten the average response time and improve the system throughput by 30% in the typical edge application scenario. In addition, the scheme also has good scalability and compatibility, and can operate stably on different types of edge devices.
Keyword:Edge Computing Linux System Optimization Lightweight Containerized Deployment
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2Linux系统在边缘计算中的部署架构 2
2.1边缘节点的硬件选型 2
2.2 Linux系统的轻量化部署 3
2.3部署架构的安全性设计 4
3Linux系统资源管理与优化 4
3.1资源调度算法优化 4
3.2内存管理机制改进 5
3.3 CPU与IO性能优化 5
4Linux系统在边缘计算的应用场景适配 6
4.1物联网设备接入优化 6
4.2实时数据处理能力提升 7
4.3边缘智能应用支持 7
结论 8
参考文献 10
致谢 11
摘 要
随着物联网技术的迅猛发展，边缘计算作为解决海量数据处理与实时响应需求的关键技术应运而生。本研究聚焦于Linux系统在边缘计算环境中的部署与优化问题，旨在通过系统性优化提升边缘节点的计算性能和资源利用率。研究基于开源Linux内核，针对边缘设备硬件资源有限的特点，提出了一种轻量级容器化部署方案，并结合动态资源调度算法实现对计算资源的高效管理。通过对内存管理机制、进程调度策略以及网络通信协议的优化调整，有效降低了系统开销，提高了任务执行效率。实验结果表明，在典型边缘应用场景下，所提出的优化方案能够将平均响应时间缩短30%，系统吞吐量提升45%。此外，该方案还具备良好的可扩展性和兼容性，能够在不同类型的边缘设备上稳定运行。
关键词：边缘计算 Linux系统优化 轻量级容器化部署
Abstract
With the rapid development of the Internet of Things technology, edge computing emerges as a key technology to solve the needs of massive data processing and real-time response. This study focuses on the deployment and optimization of Linux system in the edge computing environment, aiming to improve the computing performance and resource utilization of edge nodes through systematic optimization. Based on the open source Linux kernel, this paper proposes the efficient management of computational resources and combines the dynamic resource scheduling algorithm. By optimizing and adjusting the memory management mechanism, process scheduling strategy and network communication protocol, the system overhead is effectively reduced and the task execution efficiency is improved. The experimental results show that the proposed optimization scheme can shorten the average response time and improve the system throughput by 30% in the typical edge application scenario. In addition, the scheme also has good scalability and compatibility, and can operate stably on different types of edge devices.
Keyword:Edge Computing Linux System Optimization Lightweight Containerized Deployment
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2Linux系统在边缘计算中的部署架构 2
2.1边缘节点的硬件选型 2
2.2 Linux系统的轻量化部署 3
2.3部署架构的安全性设计 4
3Linux系统资源管理与优化 4
3.1资源调度算法优化 4
3.2内存管理机制改进 5
3.3 CPU与IO性能优化 5
4Linux系统在边缘计算的应用场景适配 6
4.1物联网设备接入优化 6
4.2实时数据处理能力提升 7
4.3边缘智能应用支持 7
结论 8
参考文献 10
致谢 11
