基于强化学习的缓存策略模型

ache is a key component in mordern computational systems, since it has direct impact on performance. A proper caching policy improves the effectiveness of the cache, and is the key to performance optimization. The optimal caching policy must be able to adapt to the ever changing workload the system receives. Recent advancements in caching strategy design focuses on methods based on Reinforcement Learning (RL). This article first introduces the status-quo of cache\'s application in information systems. Then, we introduce the recently published works on caching strategy optimization based on RL. Last but not least, this article talk about the evaluation methods and metrics for caching strategies.