How do LFU and LRU caching algorithms differ?
An example of an AI chatbot conversation about comparing LFU and LRU caching algorithms.
What are the main differences between LFU and LRU caching algorithms?
LFU (Least Frequently Used) caches items based on their access frequency, while LRU (Least Recently Used) caches based on the recency of access.
Can you explain how LFU decides which item to evict?
LFU evicts the item that has been accessed the least number of times. If there's a tie, it may use additional criteria like the least recently used among the least frequently accessed.
What about LRU? How does it handle evictions?
LRU evicts the item that hasn't been accessed for the longest time. It maintains a record of access order to determine which item to remove.
Which algorithm is better for a web application?
It depends on the access patterns. LRU is often better for applications with temporal locality, while LFU can be more efficient for stable access patterns.
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