History

Tuan-Dat Tran dea6004160 feat(cache-simulation): add avg_age metric and update TTL experiment name

- 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>

2024-11-27 17:34:04 +01:00

No_Refresh_0_5s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

No_Refresh_1_0s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

No_Refresh_2_0s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

No_Refresh_3_0s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

No_Refresh_4_0s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

No_Refresh_5_0s_ttl

feat(cache-simulation): add avg_age metric and update TTL experiment name

2024-11-27 17:34:04 +01:00

hr_and_age_vs_ttl.png

feat: add new experiment notebook and visualization

2024-11-27 16:58:54 +01:00

README.md

feat: add cache simulation with experiments for TTL and eviction strategies

2024-11-27 16:31:46 +01:00

README.md

Experiments: No Refresh with variable TTL

Explanation for files in each experiment:

details.csv: Access Count, Hit, Miss, Mu, Lambda and Hit Rate for each object
hit_age.csv: Shows hit rate/average age at time of request for each object.
lambda_distribution.pdf: Lambda Distribution across all objects/discrete values of the Zipf distribution
objects_in_cache_over_time.pdf: Amount of cache entries at given time.
overall_hit_age.csv: Cumulative description of hit_age.csv

Length of simulation doesn't change much since we're not touching the request rate across the simulations. Break condition for the simulation is when the each database object has been requested at least ACCESS_COUNT_LIMIT (i.e. 10) times.