CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks
CoRR(2024)
摘要
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.
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