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Published in ERAD 2014, 2014
Recommended citation: da Silva Veith, Alexandre; Righi, Rodrigo. R.
Published in INPI 2015, 2015
BSPonP2P: Computação Colaborativa de Aplicações BSP em Grades P2
Recommended citation: da Silva Veith, Alexandre; da Costa, Cristiano André; da Rosa Righi, Rodrigo
Published in NEA 2015, 2015
This book addresses the issue of “How to explore collaborative computing in P2P Grids to run BSP applications efficiently?”. To answer this question came the BSPonP2P model, which creates an environment with approaches based on the structured and unstructured models from the P2P networks. The combination of these models aims to streamline the management of communication and data on the network. Another difference of the proposed model is the use of the parallel programming model Bulk Synchronous Parallel (BSP), which creates an environment for executing processes, validating dependencies and improving communication between them. We use metrics required for the processes as memory, computing, communication, and also information from the infrastructure to establish a unique performance metric called PM. This metric is evaluated periodically to define migrations according to the launched superstep barriers. The results show that BSPonP2P uses the computational idleness, and brings performance gains to the executions.
Recommended citation: da Silva Veith, Alexandre; Righi, Rodrigo. R
Published in PDPTA 2015, 2015
Recommended citation: da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo
Published in SAC 2015, 2015
Recommended citation: da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo; da Costa, Cristiano André; Farias, Kleinner; Alberti, Antonio Marcos
Published in IFAC 2016, 2016
Recommended citation: da Silva Veith, Alexandre; dos Anjos, J. C.; de Freitas Pignaton, Edison; Lampoltshammer, Thomas J.; Geyer, Claudio
Published in COMPAS 2017, 2017
Recommended citation: da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent
Published in JNCA 2017, 2017
Recommended citation: de Assunção, Marcos Dias; da Silva Veith, Alexandre; Buyya, Rajkumar
Published in EBDT 2018, 2018
Recommended citation: da Silva Veith, Alexandre; Dias de Assunção, Marcos
Published in HotEdge 2018, 2018
Recommended citation: da Silva Veith, Alexandre; Dias de Assuncao, Marcos; Lefevre, Laurent
Published in HPCS 2018, 2018
Recommended citation: R. R. De Souza Jr, Paulo; Matteussi, Kassiano; da Silva Veith, Alexandre; C. S. Anjos, Julio; D. D. dos Santos, Jobe and R. Geyer, Claudio
Published in HPCS 2018, 2018
Recommended citation: C. S. Anjos, Julio; Matteussi, Kassiano; R. R. De Souza Jr, Paulo; da Silva Veith, Alexandre; Fedak, Gilles; Luis Victoria Barbosa, Jorge and R. Geyer, Claudio
Published in ICSOC 2018, 2018
Recommended citation: da Silva Veith, Alexandre; de Assunção, Marcos Dias; Lefèvre, Laurent
Published in CCGrid 2019, 2019
Recommended citation: Gibert Renart, Eduard*; da Silva Veith, Alexandre*; Balouek-Thomert, Daniel; de Assunção, Marcos Dias; Lefèvre, Laurent
Published in ICPP 2019, 2019
Recommended citation: da Silva Veith, Alexandre; de Souza, Felipe Rodrigo; Dias de Assunção, Marcos; Lefèvre, Laurent; Santos dos Anjos, Julio Cesar
Published in SBAC-PAD 2019, 2019
Recommended citation: Alexandre da Silva Veith*, Marcos Dias de Assunção, Laurent Lefèvre
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Undergraduate course - Master 2, ENS-Lyon, Computer Science, 2018
Big data is becoming a bigger deal every day. Every day 2.5 Quintillion bytes of data are created. In 2016, big data will affect everyone. These lectures focus on a large point of view of the current data management. In charged of Lecture 8 (Data Stream Processing) and lecture 9 (Practical Session of Data Stream Processing).