Authors: Marco Vogt, Alexander Stiemer, Sein Coray, Heiko Schuldt
Systems evaluations are an important part of empirical research in computer science. Such evaluations encompass the systematic assessment of the run-time characteristics of systems based on one or several parameters. Considering all possible parameter settings is often a very tedious and time-consuming task with many manual activities, or at least the manual creation of evaluation scripts. Ideally, the thorough evaluation of a complete evaluation space can be fully automated. This includes the set-up of the evaluation, its execution, and the subsequent analysis of the results. In this paper, we introduce Chronos, a system for the automation of the entire evaluation workflow. While Chronos has originally been built for database systems evaluations, its generic approach also allows its usage in other domains. We show how Chronos can be deployed for a concrete database evaluation, the comparative performance analysis of different storage engines in MongoDB.
This paper won the “Best Demo Paper Award” at the 23rd International Conference on Extending Database Technology (EDBT 2020)