What are the differences between ARC and LRU caching algorithms?

What are the differences between ARC and LRU caching algorithms?

ARC (Adaptive Replacement Cache) and LRU (Least Recently Used) are both caching algorithms, but they have different approaches. LRU evicts the least recently used items, while ARC maintains two lists to adaptively manage frequently and infrequently used items.

Which one performs better in real-world applications?

In many scenarios, ARC tends to outperform LRU, especially in workloads with varying access patterns, as it adapts to changes more effectively.

Can you provide examples of applications that use these algorithms?

Sure! LRU is commonly used in operating systems for page replacement, while ARC is often found in database systems and web caching.

What are the strengths and weaknesses of each algorithm?

LRU is simple and easy to implement, but it can struggle with certain access patterns. ARC is more complex but offers better adaptability and performance in diverse scenarios.