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This project introduces a comprehensive testing framework designed to evaluate the performance of different Least Recently Used (LRU) cache implementations integrated with a simulated database environment.

The framework tests under various configurations and scenarios to benchmark the efficiency, reliability, and scalability of cache strategies within concurrent systems.

A sample configuration of an LRU cache is available. It includes features such as request collapsing and various threading models to simulate different real-world usage scenarios.

The testing framework operates by executing the following steps:

1. Generate Requests: Different patterns of requests are generated to simulate varied user interaction patterns with the cache.
2. Organize Requests: Requests are organized according to specified strategies to test the cache's response to different access patterns.
3. Simulate Cache Operation: Each cache configuration is tested with the organized requests. The cache interacts with the simulated database, handling GET and SET operations.
4. Measure Performance: After executing the tests, the system reports various metrics which detail the effectiveness and efficiency of the cache configuration under test.

1. Understand performance impacts of different cache configurations.
2. Diagnose potential scalability and reliability issues in cache implementations.

Just run the main program in CacheTester.