MaLSAMi

Machine-learning supported schedulability analysis for migration of software-based components during runtime

About Us

The project MaLSAMi is powered by an encouraged team of students who are working hard to get our prototype running



Our Team



Bernhard Blieninger Team/Project lead
GitHub
Page



Alexander Reisner
Genode and L4 Microkernel Software Developer
GitHub
Homepage

Robert Hamsch
Machine-learning (Deep) Python Developer
Github

Main developer of the distributor component used to generate data for machine learning.

Varun Bahl
Machine-learning (Shallow)



Internships

Harsha Sharma
Genode and L4 Microkernel Software Developer
GitHub
Homepage

Checkpoint and restore mechanism in Genode and L4 microkernel

Sudeep Rao V.M
Genode and L4 microkernel Software Developer



MalSAMi Documentation

You can find the documentation of the MaLSAMi project under:

MaLSAMi Documentation

Contact

If you want to know more about this project and cannot find it somewhere on the website or the documentation, please don't hesitate to contact:

bliening@cs.tum.edu