This repository contains a Python program (run.py) for evaluating the performance of two caching algorithms: ARC and LeCaR. This README provides instructions on how to run the program and interpret the results.
Make sure you have the following prerequisites installed on your system:
- Python 3.x
- A working virtual enviornment (see here).
- Required Python libraries (install them using
pip install -r requirements.txt)
To run the program, use the following command:
python run.py <cache_capacity> <trace_file>- <cache_capacity>: Integer representing the capacity of the cache.
- <trace_file>: The name of the trace file containing the request data.
python run.py 1000 my_trace_file.txtReplace 1000 with your desired cache capacity and my_trace_file.txt with the actual trace file. If you would like to use one of our created trace files, for example, use the following instead of my my_trace_file.txt: traces/syn_workload1.txt
The program supports two caching algorithms: ARC and LeCaR. Both algorithms will be evaluated, and the results (hits, requests, hit ratio) will be displayed. Detailed evaluation results are presented in the evals folder. Code for these evaluations are presented outside of this folder (generate_eval_csv.py, phase_changes.py, syn_workload.py, etc.).