This repository contains the artifact release for kscope.
We have implemented store pings both in Python and Ruby. We use Python for our scalability experiments.
We have used the following regex rules to parse the error logs from the Cray Systems.
We have implemented the machine-learning using Python. The probabilistic program shows the implementation of the described architecture as an example. The code is shown in a Jupyter Notebook. The sample output visualizations can be found in the following Jupyter Notebook
We compare our work with NetBouncer [NSDI 2020]. We implemented NetBouncer and verified its implementation with the authors. The code is located here.