What are the differences between LRU and LFU caching algorithms?
An example of an AI chatbot conversation about comparing LRU and LFU caching performance.
What are the differences between LRU and LFU caching algorithms?
LRU (Least Recently Used) evicts the least recently accessed items, while LFU (Least Frequently Used) removes the least frequently accessed items.
Which one performs better in a high-load scenario?
It depends on the access patterns. LRU generally performs better with temporal locality, while LFU can excel with stable access patterns.
Can you give me an example of when to use each?
Use LRU for applications with frequent access to a small set of data, and LFU for scenarios where certain data is consistently accessed over time.
What are the trade-offs of using each algorithm?
LRU can be simpler to implement but may require more memory for tracking access order. LFU can be more complex but may provide better performance in specific cases.
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