Using Application Data for SLA-Aware Auto-scaling in Cloud Environments
- Andre Abrantes D.P. Souza
- Marco A.S. Netto
- 2015
- MASCOTS 2015
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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30 results for Marco A.S. Netto
Evaluating auto-scaling strategies for cloud computing environments
- Marco A.S. Netto
- Carlos H. Cardonha
- et al.
- 2014
- MASCOTS 2014
Exploiting user patience for scaling resource capacity in cloud services
- Renato L. F. Cunha
- Marcos D. Assunção
- et al.
- 2014
- CLOUD 2014
DeepDownscale: A deep learning strategy for high-resolution weather forecast
- Eduardo Rocha Rodrigues
- Igor Oliveira
- et al.
- 2018
- eScience 2018
A scalable machine learning system for pre-season agriculture yield forecast
- Renato Luiz Cunha
- Bruno Silva
- et al.
- 2018
- eScience 2018
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
Provenance data in the machine learning lifecycle in computational science and engineering
- Renan Souza
- Patrick Valduriez
- et al.
- 2019
- WORKS 2019
Efficient runtime capture of multiworkflow data using provenance
- Renan Souza
- Marta Mattoso
- et al.
- 2019
- eScience 2019
Helping HPC Users Specify Job Memory Requirements via Machine Learning
- Eduardo Rocha Rodrigues
- Renato Luiz Cunha
- et al.
- 2016
- HUST 2016
SLA-aware interactive workflow assistant for HPC parameter sweeping experiments
- Bruno Silva
- Marco A.S. Netto
- et al.
- 2016
- WORKS 2016