https://github.com/stefanofioravanzo/gossip_ds2
Efficient Reconciliation and Flow Control for Anti-Antropy Protocols
https://github.com/stefanofioravanzo/gossip_ds2
Last synced: 2 months ago
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Efficient Reconciliation and Flow Control for Anti-Antropy Protocols
- Host: GitHub
- URL: https://github.com/stefanofioravanzo/gossip_ds2
- Owner: StefanoFioravanzo
- Created: 2017-08-24T12:46:28.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-09-12T09:09:40.000Z (about 8 years ago)
- Last Synced: 2025-03-12T14:26:51.956Z (7 months ago)
- Language: Jupyter Notebook
- Size: 2.34 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## DS2-Project
To run the project move to the root directory of the repository.
The `run.sh` script will handle all the compilation and the "java-related-stuff" by itself.
You just have to run
```bash
./run.sh experiment \
\
\
\
```
All the details about what these arguments do and what they mean are in the report.
--
The program will output the metrics in `/tmp/AEP/logs/`. The *experiment_name* will be dynamic based on the experiment run.
In order to plot the metrics there is a handy python script `src/plot/plot.py`. Just set the path to the folder containing the outputs of the experiments and uncomment all the traces you want to appear in the plots.