Illuminating the hidden challenges of data-driven CDNs

Illuminating the hidden challenges of data-driven CDNs
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DOI：
10.1145/3578356.3592574
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发表时间：
2023-05
期刊：
Proceedings of the 3rd Workshop on Machine Learning and Systems
影响因子：
--
通讯作者：
Theophilus A. Benson
Theophilus A. Benson
中科院分区：
其他
文献类型：
--
作者：
Theophilus A. Benson

文献摘要

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虽然数据驱动的CDN有潜力提供无与伦比的性能和可用性改进，但它们也带来了以前未解决的复杂而令人兴奋的问题。本文强调了这些问题，探讨现有的解决方案，并确定每个方向的开放研究问题。我们还提出了一个strawman方法，Guard-Rails，它体现了初步的技术，可以用来帮助保护数据驱动的CDN对已识别的危险。
While Data-driven CDNs have the potential to provide unparalleled performance and availability improvements, they open up an intricate and exciting tapestry of previously un-addressed problems. This paper highlights these problems, explores existing solutions, and identifies open research questions for each direction. We, also, present a strawman approach, Guard-Rails, that embodies preliminary techniques that can be used to help safeguard data-driven CDNs against the identified perils.