MetricStore repository: on the leveraging of performance metrics in databases

The database performance is one of the most important quality indicators that companies are looking for to choose their appropriate database management systems. Quantifying this performance is usually performed by the means of mathematical cost models. Due to the importance of these models, for each evolution of the database technology pushes researchers to revisit or to propose cost models in order to integrate new dimensions brought by that evolution. As a consequence, a huge number of cost models exists. To exploit them, we need to find their respective scientific papers. This situation is in contradiction with Era Sharing, because it reduces reuse of these cost models by researchers, students (from third world countries), etc. and even more it penalizes the reproduction of experiments that intensively use these cost models. In this paper, we propose a framework for cost models dedicated to query processing and optimization. We first propose a common repository, called, MetricStore, to store metrics of cost model units. Secondly, thanks to model-driven engineering facilities, the repository offers capabilities aiming at publishing, searching and reusing cost models through a suitable user interface. Tool support is fully available.