LRU Cache: Understanding and Implementing Least Recently Used Algorithm
LRU Cache: Understanding and Implementing Least Recently Used Algorithm By keeping the most frequently used items in memory, LRU algorithm reduces the number of accesses to the underlying data store, resulting in improved performance. 2. Reduced Latency: LRU algorithm reduces the latency by providing quick access to the most frequently used items, improving the user experience. 3. Scalability: LRU algorithm is highly scalable as it can be implemented in various data structures, including hash maps, linked lists, and trees, making it suitable for applications of different sizes....