Renan Souza

Orcid: 0000-0002-1794-808X

Affiliations:
  • Oak Ridge National Lab, TN, USA
  • IBM Research, Rio de Janeiro, Brazil
  • Federal University of Rio de Janeiro, COPPE, RJ, Brazil


According to our database1, Renan Souza authored at least 34 papers between 2015 and 2024.

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Bibliography

2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

Towards Cross-Facility Workflows Orchestration through Distributed Automation.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

HKPoly: A Polystore Architecture to Support Data Linkage and Queries on Distributed and Heterogeneous Data.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
A Polystore Architecture Using Knowledge Graphs to Support Queries on Heterogeneous Data Stores.
CoRR, 2023

Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Workflow provenance in the lifecycle of scientific machine learning.
Concurr. Comput. Pract. Exp., 2022

2021
Distributed in-memory data management for workflow executions.
PeerJ Comput. Sci., 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Supporting Polystore Queries using Provenance in a Hyperknowledge Graph.
Proceedings of the ISWC 2021 Posters, 2021

A Recommender for Choosing Data Systems based on Application Profiling and Benchmarking.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
Data reduction in scientific workflows using provenance monitoring and user steering.
Future Gener. Comput. Syst., 2020

Adding domain data to code profiling tools to debug workflow parallel execution.
Future Gener. Comput. Syst., 2020

Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case.
CoRR, 2020

Cycle Orchestrator: A Knowledge-Based Approach for Structuring Cyclic ML Pipelines in the O&G Industry.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

A Knowledge-Based Approach for Structuring Cyclic Workflows.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Modern Federated Database Systems: An Overview.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2019
Supporting User Steering In Large-Scale Workflows With Provenance Data. (Support des actions de pilotage dans les workflows à grande échelle avec données de provenance).
PhD thesis, 2019

Keeping track of user steering actions in dynamic workflows.
Future Gener. Comput. Syst., 2019

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

Efficient Runtime Capture of Multiworkflow Data Using Provenance.
Proceedings of the 15th International Conference on eScience, 2019

2018
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Provenance of Dynamic Adaptations in User-Steered Dataflows.
Proceedings of the Provenance and Annotation of Data and Processes, 2018

Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications.
Proceedings of the Provenance and Annotation of Data and Processes, 2018

2017
A Hybrid Architecture for Multi-Party Conversational Systems.
CoRR, 2017

Spark Scalability Analysis in a Scientific Workflow.
Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

2016
Online Input Data Reduction in Scientific Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Building a Question-Answering Corpus Using Social Media and News Articles.
Proceedings of the Computational Processing of the Portuguese Language, 2016


2015
Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015


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