A Recommender for Choosing Data Systems based on Application Profiling and Benchmarking
- Elton Figueiredo de Souza Soares
- Renan Francisco Santos Souza
- et al.
- 2021
- SBBD 2021
Leonardo G. Azevedo has been Research Scientist within IBM Research Brazil since 2013. He is Ph.D. (2005) and MSc. (2001) from PESC/COPPE/UFRJ and Bachelor in Informatics from UFRJ (Rio de Janeiro-Brazil). He was a professor within UniRio (2006 to 2018) and a researcher of the Graduate Program in Informatics (PPGI/UniRio) (2009 to 2018). He has more than 20 years of experience in system development and applied research, working on projects for national and international organizations. His research areas are Distributed Sytems, Service-Oriented Architecture (SOA), Microservices Architecture (MSA), Databases, Provenance, Data Integration, Polystore, Knowledge Engineering, Ontologies, and Business Process Management (BPM).
homepage: http://ibm.biz/leonardo and
CNPq Lattes: http://lattes.cnpq.br/7214791464543522.