基于边缘计算的CDN内容缓存研究  

Research on CDN Content Caching Based on Edge Computing

作　　者：沈毅 SHEN Yi(Guangdong Vocational and Technical College,Foshan Guangdong 528041,China)

机构地区：[1]广东职业技术学院,广东佛山528041

出　　处：《信息与电脑》2024年第19期77-79,共3页Information & Computer

摘　　要：内容分发网络(Content Delivery Network,CDN)通过在多个地理位置分布的缓存服务器上存储内容的副本,来提高网站和其他互联网服务的访问速度和可靠性。边缘计算进一步发展了这一理念,通过在网络边缘处理数据和应用,来降低延迟、提高数据处理速度和效率。本文探讨了基于边缘计算的CDN内容缓存优化策略,分析了智能缓存位置决策、内容访问模式识别与预加载、适应性缓存更新机制等方面的技术方法,旨在通过技术创新,提高内容分发的效率和安全性,满足日益增长的网络服务需求。Content delivery networks(CDNs)enhance the access speed and reliability of websites and other internet services by storing copies of content on caching servers distributed across multiple geographic locations.Edge computing further develops this concept by processing data and applications at the edge of the network,reducing latency and improving data processing speed and efficiency.This paper explores CDN content caching optimization strategies based on edge computing,analyzing technical methods such as intelligent caching location decision-making,content access pattern recognition and preloading,and adaptive caching update mechanisms.The aim is to improve the efficiency and security of content distribution through technological innovation,meeting the ever-growing demand for network services.

关 键 词：边缘计算 CDN 内容缓存 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]