syscalls-heatmap

This repository contains a python script to generate a syscalls heatmap for Unikraft. An excel file which contains the current syscalls status is provided in this repository.

Installation

pip3 install numpy
pip3 install xlrd==1.2.0 (temporary)
pip3 install pandas
pip3 install seaborn 
pip3 install matplotlib

Usage

python3 heatmap.py --help
usage: heatmap.py [-h] [--aggregated-file AGGREGATED_FILE] [--nb-apps NB_APPS]
                  [--folder-to-aggregate FOLDER_TO_AGGREGATE]
                  [--display-syscall-name [DISPLAY_SYSCALL_NAME]]
                  [--save-heatmap [SAVE_HEATMAP]]

There are two different modes:

1. AGGREGATED_FILE: Use the --aggregated-file argument following by the path of a json file. This one contains an aggregated list of syscalls that were gathered and aggregated by testing 30 applications. The following file "syscalls_sample.json" is provided as sample.
2. FOLDER_TO_AGGREGATE: Use the --folder-to-aggregate argument following by the path of a folder that contains the json files gathered by the toolchain. These ones must use a particular structure that is defined by the toolchain. An example folder "to_aggregate" is provided as sample.

Note that if you use the --aggregated-file argument, you need to adapt the --nb-apps argument. Its default value is 30.

To get numerical system call statistics in applications use cruncher.py. Use -s or -a arguments to print system call popularity or system call support in applications:

$ python cruncher.py -s
syscall,status,num_apps
read,OKAY,30
[...]

$ python cruncher.py -a
app,total,okay,not_impl,reg_miss,incomplete,stubbed,planned,broken,in_progress,absent
apache,41,23,8,1,5,1,0,1,2,1
[...]