- Fixed incorrect use of exponential sampling for `next_request` and `next_refresh` timings.
- Adjusted cache eviction logic to properly handle capacity checks.
- Improved simulation output and logging for least accessed objects.
- Corrected CSV export to include index labels for better data clarity.
- Reran experiments
Signed-off-by: Tuan-Dat Tran <tuan-dat.tran@tudattr.dev>
- Introduced `avg_age` metric to track the average age of cached objects during simulation.
- Updated experiment configuration name from "No Refresh (0.5s ttl)" to "No Refresh (5.0s ttl)".
- Updated Jupyter notebooks and related files to incorporate new metrics and change experiment labels.
- Modified experiment output CSV and PDF files to reflect the new `avg_age` metric and updated experiment details.
Signed-off-by: Tuan-Dat Tran <tuan-dat.tran@tudattr.dev>
Introduce a new simulation for Age of Information (AoI) cache management, focusing on varying TTL values and eviction strategies (LRU and Random Eviction). This includes:
- New Python script for event-driven cache simulations using .
- Experiments for "No Refresh" across multiple TTL configurations (, , ..., ) with:
- Hit rate and object age tracking (, , etc.).
- Visualizations (e.g., , ).
- Updated to describe experimental setup and configurations.
- Log export file () for simulation results.
- Refactor of with detailed strategy configurations and runtime notes.
### Reason
The commit enhances the project by enabling detailed experiments with configurable cache parameters, supporting analysis of cache efficiency and AoI under varying conditions. This provides a foundation for more sophisticated simulations and insights.
### Performance
- Runtime: ~4m 29s for .
Co-authored experiments introduce structured data files and visualizations, improving clarity for future iterations.
Signed-off-by: Tuan-Dat Tran <tuan-dat.tran@tudattr.dev>
