You're tasked with designing a cache management system using a linked list to store recently accessed data. How would you implement this system to optimize cache performance?

  • Implement a FIFO eviction policy where the least recently accessed data is removed when the cache is full.
  • Implement an LRU (Least Recently Used) policy by moving recently accessed data to the front of the linked list, ensuring quick access and eviction of least used data.
  • Use a hybrid cache structure with a combination of linked lists and hash tables to achieve fast lookup and efficient eviction based on access frequency.
  • Implement a randomized eviction policy where data is evicted randomly to avoid patterns in access behavior that could lead to cache inefficiencies.
Option 2 suggests implementing an LRU (Least Recently Used) policy by moving recently accessed data to the front of the linked list. This approach optimizes cache performance by ensuring that frequently accessed data remains at the forefront, reducing access times and enabling efficient eviction of least used data when the cache is full. This strategy aligns with common cache management principles for improving access speed and overall system performance.
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