What are the latest trends in cache replacement algorithms?

What are the latest trends in cache replacement algorithms?

Recent trends include machine learning-based algorithms, adaptive caching, and hybrid approaches that combine multiple strategies.

How do machine learning algorithms improve cache performance?

They analyze access patterns and predict future requests, allowing for more efficient data retrieval and reduced latency.

Can you give examples of specific algorithms that use machine learning?

Sure! Examples include Reinforcement Learning-based algorithms and Neural Network-based caching strategies.

What challenges do these new algorithms face?

Challenges include computational overhead, the need for large datasets for training, and adaptability to changing workloads.