Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional

Title: Rumo à Otimização de Operadores sobre UDF no Spark

Venue: SBBD 2018

Date: August / 2018

Location: Rio de Janeiro, RJ – Brasil


Workflows emerged as a basic abstraction for structuring data analysis experiments in the current Data Intensive Scalable Computing (DISC) scenario. In many situations, these workflows are intensive, either computationally or in relation to data management, requiring execution in high-performance processing environments. However, parallelizing the execution of workflows commonly requires laborious programming, in an ad hoc manner and in a low level of abstraction, which makes it difficult to explore optimization opportunities. Some algebraic approaches have been developed to mitigate such limitation. This work moves in the direction converging the workflow algebra with relational query processing.


About Eduardo Ogasawara
I am a Professor of the Computer Science Department of the Federal Center for Technological Education of Rio de Janeiro (CEFET / RJ) since 2010. I hold a PhD in Systems Engineering and Computer Science at COPPE / UFRJ. Between 2000 and 2007 I worked in the Information Technology (IT) field where I acquired extensive experience in workflows and project management. I have solid background in the Databases and my primary interest is Data Science. He currently studies space-time series, parallel and distributed processing, and data preprocessing methods. I am a member of the IEEE, ACM, INNS, and SBC. Throughout my career I have been presenting consistent number of published articles and projects approved by the funding agencies, such as CNPq and FAPERJ. I am also reviewer of several international journals, such as VLDB Journal, IEEE Transactions on Service Computing and The Journal of Systems and Software. Currently, I am heading the Post-Graduate Program in Computer Science (PPCIC) of CEFET / RJ.

Comments are closed.