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Steve L. Nyemba
927f86d5d9
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12 months ago | |
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.idea | 8 years ago | |
bin | 12 months ago | |
smart | 12 months ago | |
test | 7 years ago | |
.gitignore | 4 years ago | |
.gitmodules | 7 years ago | |
README.md | 6 years ago | |
info.py | 12 months ago | |
readme.md | 4 years ago | |
setup.py | 12 months ago | |
start.sh | 8 years ago |
readme.md
Introduction
This program is designed to monitor processes running on a linux/osx machine. It assumes logging hasn't been properly done. The program answers basic questions:
- Is a given program still running
- How much resource (memory/cpu) a program is using up
- The number of processes found
- Folder monitoring ...
#Architecture
The architecture of the system is distributed with a central master node, { "id":"", "key":"", "apps":[], "sandbox":[{"path":"","requirements":""}], "folders":["path-1"], "store":{} "actions":{} }
The agent will perform three basic functions :
- data collection (building up the dataset)
- classification of status for a given process:
x y z
0 0 1 idle
1 1 1 running
0 0 0 crash
with x : memory used
y : cpu usage
z : number of processes found
- Prediction of crashes using multivariate anomaly detection
This allows the learner to determine if something unusual is happening.