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20132025
most citedBig Data Computing and Clouds: Trends and Future Directions

854 citations

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cs.DC2021★ 4 cited

Distributed In-memory Data Management for Workflow Executions

Renan Souza, Vítor Silva, Alexandre A. B. Lima +3

Complex scientific experiments from various domains are typically modeled as workflows and executed on large-scale machines using a Parallel Workflow Management System (WMS). Since…

cs.DC2018★ 9 cited

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…

cs.DC2013★ 854 cited

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,…

cs.DC2013

Dynamic Load Balancing in GPU-Based Systems - Early Experiments

Alvaro Luiz Fazenda, Celso L. Mendes, Laxmikant V. Kale +2

The dynamic load-balancing framework in Charm++/AMPI, developed at the University of Illinois, is based on using processor virtualization to allow thread migration across processor…

cs.DC2013

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…