Eviction Policies of Caching
Eviction policies are crucial in caching systems to manage limited cache space efficiently. When the cache is full and a new item needs to be stored, an eviction policy determines which existing item to remove.
- One common approach is the Least Recently Used (LRU) policy, which discards the least recently accessed item. This assumes that recently used items are more likely to be used again soon.
- Another method is the Least Frequently Used (LFU) policy, removing the least frequently accessed items.
- Alternatively, there’s the First-In-First-Out (FIFO) policy, evicting the oldest cached item.
Each policy has its trade-offs in terms of computational complexity and adaptability to access patterns. Choosing the right eviction policy depends on the specific requirements and usage patterns of the application, balancing the need for efficient cache utilization with the goal of minimizing cache misses and improving overall performance.
Caching – System Design Concept
Caching is a system design concept that involves storing frequently accessed data in a location that is easily and quickly accessible. The purpose of caching is to improve the performance and efficiency of a system by reducing the amount of time it takes to access frequently accessed data.
Important Topics for Caching in System Design
- What is Caching
- How Does Cache Work?
- Where Cache can be added?
- key points to understand Caching
- Types of Cache
- Applications of Caching
- What are the Advantages of using Caching?
- What are the Disadvantages of using Caching?
- Cache Invalidation Strategies
- Eviction Policies of Caching