Cache Eviction Policies

Cache eviction policies are algorithms or strategies implemented to decide which data should be removed from a cache when the cache reaches its storage capacity. These policies are essential for optimizing the use of limited cache space and maintaining the most relevant information for faster retrieval. Some of the most important and common cache eviction strategies are:

Cache Eviction Policies | System Design

Cache eviction refers to the process of removing data from a cache to make room for new or more relevant information. Caches store frequently accessed data for quicker retrieval, improving overall system performance. However, caches have limited capacity, and when the cache is full, the system must decide which data to remove. The eviction policy determines the criteria for selecting the data to be replaced. This post will dive deep into Cache Eviction and its policies.

Important Topics for the Cache Eviction Policies

  • What are Cache Eviction Policies?
  • Cache Eviction Policies
    • 1. Least Recently Used(LRU)
    • 2. Least Frequently Used(LFU)
    • 3. First-In-First-Out(FIFO)
    • 4. Random Replacement

Similar Reads

What are Cache Eviction Policies?

Cache eviction policies are algorithms or strategies that determine which data to remove from a cache when it reaches its capacity limit. These policies aim to maximize the cache’s efficiency by retaining the most relevant and frequently accessed information. Efficient cache eviction policies are crucial for maintaining optimal performance in systems with limited cache space, ensuring that valuable data is retained for quick retrieval....

Cache Eviction Policies

Cache eviction policies are algorithms or strategies implemented to decide which data should be removed from a cache when the cache reaches its storage capacity. These policies are essential for optimizing the use of limited cache space and maintaining the most relevant information for faster retrieval. Some of the most important and common cache eviction strategies are:...

1. Least Recently Used(LRU)

In the Least Recently Used (LRU) cache eviction policy, the idea is to remove the least recently accessed item when the cache reaches its capacity limit. The assumption is that items that haven’t been accessed for a longer time are less likely to be used in the near future. LRU maintains a record of the order in which items are accessed, and when the cache is full, it evicts the item that hasn’t been accessed for the longest period....

2. Least Frequently Used(LFU)

LFU is a cache eviction policy that removes the least frequently accessed items first. It operates on the principle that items with the fewest accesses are less likely to be needed in the future. LFU maintains a count of how often each item is accessed and, when the cache is full, evicts the item with the lowest access frequency....

3. First-In-First-Out(FIFO)

First-In-First-Out (FIFO) is a cache eviction policy that removes the oldest item from the cache when it becomes full. In this strategy, data is stored in the cache in the order it arrives, and the item that has been present in the cache for the longest time is the first to be evicted when the cache reaches its capacity....

4. Random Replacement

Random Replacement is a cache eviction policy where, when the cache is full and a new item needs to be stored, a randomly chosen existing item is evicted to make room. Unlike some deterministic policies like LRU (Least Recently Used) or FIFO (First-In-First-Out), which have specific criteria for selecting items to be evicted, Random Replacement simply selects an item at random....

Conclusion

In conclusion, cache eviction policies play a crucial role in system design, impacting the efficiency and performance of caching mechanisms. The choice of an eviction policy depends on the specific characteristics and requirements of the system. While simpler policies like Random Replacement offer ease of implementation and low overhead, more sophisticated strategies such as Least Recently Used (LRU) or Least Frequently Used (LFU) take into account historical access patterns, leading to better adaptation to changing workloads...