English

CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks

Distributed, Parallel, and Cluster Computing 2024-02-27 v1

Abstract

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.

Cite

@article{arxiv.2402.16262,
  title  = {CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks},
  author = {Peng Wang and Yu Liu and Ziqi Liu and Ming-Yang Wang and Ke Liu and Ke Zhou and Zhihai Huang},
  journal= {arXiv preprint arXiv:2402.16262},
  year   = {2024}
}
R2 v1 2026-06-28T14:59:45.380Z