854 citations · 1.1k across the 17 of their papers we have counts for
17 papers
Graph approach for observability analysis in power system dynamic state estimation
Akhila Kandivalasa, Marcos Netto
The proposed approach yields a numerical method that provably executes in linear time with respect to the number of nodes and edges in a graph. The graph, constructed from the powe…
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Renato L. F. Cunha, Lucas V. Real, Renan Souza +2
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in…
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza, Leonardo G. Azevedo, Vítor Lourenço +10
Machine Learning (ML) has already fundamentally changed several businesses. More recently, it has also been profoundly impacting the computational science and engineering domains,…
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza, Leonardo Azevedo, Vítor Lourenço +10
Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of…
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha +1
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-res…
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira, Renato L. F. Cunha, Bruno Silva +1
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources. Most solutions for yield…
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22
The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured…
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues +2
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research effo…
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
A common workflow in science and engineering is to (i) setup and deploy large experiments with tasks comprising an application and multiple parameter values; (ii) generate intermed…
Helping HPC Users Specify Job Memory Requirements via Machine Learning
Eduardo R. Rodrigues, Renato L. F. Cunha, Marco A. S. Netto +1
Resource allocation in High Performance Computing (HPC) settings is still not easy for end-users due to the wide variety of application and environment configuration options. Users…
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds
Renato L. F. Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei +1
Several companies and research institutes are moving their CPU-intensive applications to hybrid High Performance Computing (HPC) cloud environments. Such a shift depends on the cre…
Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds
Artur Baruchi, Edson T. Midorikawa, Liria M. Sato +1
Virtual machine live migration in cloud environments aims at reducing energy costs and increasing resource utilization. However, its potential has not been fully explored because o…
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds
Kiran Mantripragada, Leonardo P. Tizzei, Alecio P. D. Binotto +1
Several scientific and industry applications require High Performance Computing (HPC) resources to process and/or simulate complex models. Not long ago, companies, research institu…
Using Application Data for SLA-aware Auto-scaling in Cloud Environments
Andre Abrantes D. P. Souza, Marco A. S. Netto
With the establishment of cloud computing as the environment of choice for most modern applications, auto-scaling is an economic matter of great importance. For applications like s…
Big Data Computing and Clouds: Trends and Future Directions
Marcos D. Assuncao, Rodrigo N. Calheiros, Silvia Bianchi +2
This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data,…
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom
Carlos Cardonha, Marcos D. Assunção, Marco A. S. Netto +2
Scheduling of service requests in Cloud computing has traditionally focused on the reduction of pre-service wait, generally termed as waiting time. Under certain conditions such as…