Context-aware execution migration tool for data science Jupyter notebooks on hybrid clouds
- Renato L.F. Cunha
- Lucas C. Villa Real
- et al.
- 2021
- eScience 2021
Conference paper
Publications
30 results for Marco A.S. Netto
Provenance data in the machine learning lifecycle in computational science and engineering
- Renan Souza
- Patrick Valduriez
- et al.
- 2019
- WORKS 2019
Conference paperEfficient runtime capture of multiworkflow data using provenance
- Renan Souza
- Marta Mattoso
- et al.
- 2019
- eScience 2019
Conference paperA manifesto for future generation cloud computing: Research directions for the next decade
- Rajkumar Buyya
- Satish Narayana Srirama
- et al.
- 2019
- ACM Computing Surveys
PaperA scalable machine learning system for pre-season agriculture yield forecast
- Renato Luiz Cunha
- Bruno Silva
- et al.
- 2018
- eScience 2018
Conference paperDeepDownscale: A deep learning strategy for high-resolution weather forecast
- Eduardo Rocha Rodrigues
- Igor Oliveira
- et al.
- 2018
- eScience 2018
Conference paperJobPruner: A machine learning assistant for exploring parameter spaces in HPC applications
- Bruno Silva
- Marco A.S. Netto
- et al.
- 2018
- Future Generation Computer Systems
PaperHPC cloud for scientific and business applications: Taxonomy, vision, and research challenges
- Marco A.S. Netto
- Rodrigo Calheiros
- et al.
- 2018
- ACM Computing Surveys
PaperJob placement advisor based on turnaround predictions for HPC hybrid clouds
- Renato Luiz Cunha
- Eduardo Rocha Rodrigues
- et al.
- 2017
- Future Generation Computer Systems
PaperHelping HPC Users Specify Job Memory Requirements via Machine Learning
- Eduardo Rocha Rodrigues
- Renato Luiz Cunha
- et al.
- 2016
- HUST 2016
Conference paper