Simple In Memory File Storage Server case study.
Implementation and analysis of cache replacement policies (Random and Least Recently Used) in a C++-based cache simulator. This project explores cache architecture behavior, evaluates eviction strategies, and measures performance metrics such as cache hits, misses, and flush counts.
A comprehensive collection of cache eviction policies implemented in python, providing practical examples for Least Recently Used (LRU), Least Frequently Used (LFU), and other strategies to optimize data caching in your applications.
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