This code implements an LRU (Least Recently Used) based storage cleanup strategy: 1) It tracks the last access time of stored items, 2) When cleanup is needed, it removes the least recently used items first, 3) It calculates total storage size accurately, 4) The cleanup continues until the target size is reached, 5) This approach preserves more frequently accessed data, 6) It's an efficient strategy for managing limited storage space, 7) The implementation considers both item size and access patterns, 8) This pattern is commonly used in cache management systems.