Скачать или смотреть Cache Eviction Policies | System Design Interview | LRU LFU FIFO TTL

Caching is essential for performance, but storage is limited, meaning we need an eviction strategy when the cache is full. This video explores different cache removal strategies, their pros and cons, and when to use them.
Cache Eviction Strategies Covered:
Time-To-Live (TTL) – Items expire after a set time. ✅ Simple, prevents memory leaks ❌ Causes cache misses for frequently accessed items.

Least Recently Used (LRU) – Removes the item that hasn’t been used for the longest time. ✅ Popular, efficient ❌ Can be expensive to track usage.

Least Frequently Used (LFU) – Removes the item with the lowest access count. ✅ Great for predictable patterns ❌ High tracking overhead, needs tie-breaking strategies.

First-In-First-Out (FIFO) – Removes the oldest item in the cache. ✅ Simple, predictable ❌ Ignores access frequency, which can cause inefficiencies.

Most Recently Used (MRU) – Removes the most recently accessed item. ✅ Useful for short-lived data ❌ Not ideal for general use.

Two-Layer Caching – Balances speed and efficiency by having a fast, small cache for frequent data and a slower, larger cache for less frequent data. ✅ Scalable ❌ Complex to implement.

Random Replacement – Removes a random item when space is needed. ✅ Ultra-fast ❌ Unpredictable, not ideal for most applications.

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📌 Stay tuned for the next video, where we’ll explore advanced caching eviction policies.


📖 Chapters:
0:00 Introduction
0:33 Time-To-Live
1:32 Question for You!!!
1:44 Least Recently Used (LRU)
2:47 Least Frequently Used (LFU)
3:23 Question for You!!!
4:14 First In First Out (FIFO)
4:43 Most Recently Used (MRU)
5:16 Two Layered Cache
5:51 Random Replacement (RR)
6:14 Final Question

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