The service provided by content delivery networks (CDNs) may overlook content locality, leaving room for potential performance improvement. In this study, we explore the feasibility of leveraging generated data as a replacement for fetching data in missing scenarios based on content locality. Due to sufficient local computing resources and reliable generation efficiency, we propose a content-oriented generative-hit framework (CoGenT) for CDNs. CoGenT utilizes idle computing resources on edge nodes to generate requested data based on similar or related cached data to achieve hits. Our implementation in a real-world system demonstrates that CoGenT reduces the average access latency by half. Additionally, experiments conducted on a simulator also confirm that CoGenT can enhance existing caching algorithms, resulting in reduced latency and bandwidth usage.

翻译：内容分发网络（CDN）提供的服务可能忽视内容局部性，导致性能提升仍存在空间。本研究基于内容局部性，探索利用生成数据替代缺失场景下数据获取的可行性。考虑到边缘节点具备充足的本地计算资源与可靠的生成效率，我们提出一种面向内容的生成命中框架（CoGenT）应用于CDN。该框架利用边缘节点空闲计算资源，基于相似或相关缓存数据生成请求数据以实现命中。在实际系统中的部署表明，CoGenT可将平均访问延迟降低50%。同时，基于模拟器的实验也证实，CoGenT能增强现有缓存算法，有效减少延迟与带宽消耗。