Towards Lightweight and Robust Machine Learning for CDN Caching
Daniel S. Berger · 2018
Recent advances in the field of reinforcement learning promise a general approach to optimize networking systems. This paper argues against the recent trend for generalization by introducing a case study where domain-specific modeling enables the application of lightweight and robust learning techniques.