What are the different types of cache algorithms and how do they compare?
There are several cache algorithms, including LRU (Least Recently Used), FIFO (First In First Out), and LFU (Least Frequently Used). LRU evicts the least recently used items, FIFO removes the oldest items, and LFU removes the least frequently accessed items. Each has its strengths and weaknesses depending on the use case.
Can you explain how LRU works in more detail?
Sure! LRU keeps track of the order in which items are accessed. When the cache reaches its limit, it removes the least recently accessed item to make space for new data. This is often implemented using a linked list or a hash map to efficiently track access order.
What are the advantages of using LFU over LRU?
LFU is beneficial in scenarios where certain items are accessed frequently over time. It prioritizes keeping these items in the cache, which can lead to better performance in workloads with stable access patterns.
Are there any hybrid algorithms that combine these methods?
Yes, hybrid algorithms like LRU-K and ARC (Adaptive Replacement Cache) combine elements of both LRU and LFU to adaptively manage cache based on access patterns, providing a balance between recency and frequency.
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