Collection of Job Scheduling Prediction Methods.

For more than two decades, researchers have been developing methods to predict HPC job run times. The methods vary from simple rule-based solutions to modern methods using machine and deep learning libraries. These studies are often developed for scientific publications and the sustainability after publication is often neglected. It is also often difficult to compare a solution with previously published, because the focus can be slightly different and missing the availability of source code. With this work, we want to start a collection of different wall time prediction methods to better compare new solutions and to promote sustainability. Therefore, this paper is submitted as a Open Scheduling Problem. The collection of source codes and results are going to be published on GitHub: https://hpc-job-scheduling-repo.github.io.