TY - JOUR AU - Marins, Raphael AU - Pereira de Oliveira, Rafael AU - Hermann Haeusler, Edward AU - Lifschitz, Sérgio AU - Schwabe, Daniel AU - Almeida, Ana Carolina PY - 2021/09/10 Y2 - 2024/03/29 TI - Outer-Tuning: an Ontology-based Extensible Framework for Supporting Database Automatic Tuning JF - Journal of Information and Data Management JA - JIDM VL - 12 IS - 2 SE - SBBD 2020 - Demonstrations and Applications DO - 10.5753/jidm.2021.1984 UR - https://sol.sbc.org.br/journals/index.php/jidm/article/view/1984 SP - AB - <div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>This paper presents the Outer-Tuning framework, which aims to support the (semi) automatic tuning of relational database systems through a domain-specific ontology. Ontologies have shown themselves to be increasingly promising, adding semantics and standardizing the different terms used in a domain. Thereby, our framework seeks to explain and make explicit the tuning heuristics reasoning while enabling the evaluation of new ontology-inferred methods. In this paper we focus on the main aspects of the Outer-Tuning component-based architecture. We also give an overview of our tool in practice. Finally, we show two useful extensions, concerning new DBMSs and a way of dockerizing into a container.</p></div></div></div> ER -