Ph.D. Candidate
Contact details
IRISA / Inria Rennes – Bretagne Atlantique
Office: D174
Campus Universitaire de Beaulieu
35042, Rennes, France
Phone: +33 7 49 11 91 68
E-mail: daniel.rosendo at inria.fr
Research Interests
- Deployment of Edge-to-Cloud workflows on large scale distributed infrastructures
- Reproducibility and Provenance of Edge-to-Cloud workflows
- Performance optimization of Edge-to-Cloud workflows
Ph.D. Topic
Enabling Reproducible Analysis of Complex Application Workflows on the Edge-to-Cloud Computing Continuum (funded by: Inria Project Lab (IPL) HPC-BigData)
Short Bio
Daniel Rosendo is a Ph.D. candidate at Inria in Rennes, within the KerData team since October 2019, under the supervision of Alexandru Costan (INSA Rennes), Gabriel Antoniu (Senior scientist at Inria in Rennes), and Patrick Valduriez (Senior scientist at Inria in Montpellier). His Ph.D focus on enabling reproducible analysis of complex application workflows on the Edge-to-Cloud Computing Continuum. His recent research interests include Cloud and Edge Computing, reproducibility, and optimization.
Teaching
- INSA Rennes: Big Data Algorithms – lectures and practical sessions on Apache Flink (7.5h/year, since 2020)
- MIAGE Master of the University Rennes 1: Cloud for Big Data module – practical sessions on Apache Hadoop (24h/year, since 2019).
Publications
A list of publications can be found on Google Scholar.