What is performance analysis in LFU caching?
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What is performance analysis in LFU caching?
Performance analysis in LFU (Least Frequently Used) caching involves evaluating how effectively the cache stores and retrieves data based on usage frequency.
How does LFU compare to other caching algorithms?
LFU is more efficient for workloads with stable access patterns, while algorithms like LRU (Least Recently Used) may perform better with varying access patterns.
What metrics are important in performance analysis?
Key metrics include hit rate, miss rate, latency, and memory usage, which help assess the cache's efficiency.
Can you give an example of LFU in action?
Sure! In a web application, LFU might keep frequently accessed images in cache, reducing load times for users who request them often.
What are the limitations of LFU caching?
LFU can struggle with cache pollution and may evict items that are still relevant if their access frequency drops.
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