Julio Cesar Santos dos Anjos

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Claudio GeyerProfessor, INF, UFRGS, BrasilVerified email at inf.ufrgs.br
Luciana ArantesAssociate Professor, UPMC, CNRS, LIP6Verified email at lip6.fr
Kassiano José MatteussiPh.D Student at Federal University of Rio Grande do Sul - UFRGSVerified email at inf.ufrgs.br
Gilles FedakINRIA, University of LyonVerified email at inria.fr
Alexandre da Silva VeithUniversity of Toronto/ Department of Computer ScienceVerified email at utoronto.ca
Edison Pignaton de FreitasAssociate Professor at Federal University of Rio Grande do SulVerified email at ufrgs.br
Paulo Ricardo Rodrigues de Souza Ju...Univ Rennes, Inria, CNRS, IRISAVerified email at irisa.fr
Iván Carrera IzurietaAssociate Professor - Researcher, Escuela Politécnica Nacional. Quito - EcuadorVerified email at epn.edu.ec
Marcos AssuncaoETS MontrealVerified email at acm.org
João Paulo Javidi da CostaHamm-Lippstadt University of Applied SciencesVerified email at hshl.de
Valderi R. Q. LeithardtPolytechnic of Portalegre - PortugalVerified email at ieee.org
Volker MarklTechnische Universität BerlinVerified email at tu-berlin.de
Paul FergusFull Professor in Machine Learning at Liverpool John Moores UniversityVerified email at ljmu.ac.uk
Breno ZanchettaGraduate Student of Computer ScienceVerified email at inf.ufrgs.br
Alexandre CarissimiUniversidade Federal do Rio Grande do SulVerified email at inf.ufrgs.br
Felix FreitagTechnical University of Catalonia, BarcelonaTECHVerified email at ac.upc.edu
Jean Luca BezLawrence Berkeley National LaboratoryVerified email at lbl.gov
Felipe Rodrigo de SouzaPhd Student, ENS de LyonVerified email at ens-lyon.fr
Laurent LefevreInriaVerified email at ens-lyon.fr
Галибус Т.В. (Galibus T.)доцент, Белорусский государственный университет, факультет прикладной математики и информатики, прVerified email at bsu.by

Julio Cesar Santos dos Anjos

UFRGS

Verified email at inf.ufrgs.br

Big Data Hybrid Systems MapReduce Distributed Systems Desktop Grid


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MRA++: Scheduling and data placement on MapReduce for heterogeneous environments JCS Anjos, I Carrera, W Kolberg, AL Tibola, LB Arantes, CR Geyer Future Generation Computer Systems 42, 22-35, 2015	56	2015
Mrsg–A mapreduce simulator over simgrid W Kolberg, PDB Marcos, JCS Anjos, AKS Miyazaki, CR Geyer, ... Parallel Computing 39 (4), 233-244, 2013	52	2013
Smart: An application framework for real time big data analysis on heterogeneous cloud environments JCS Dos Anjos, MD Assunção, J Bez, C Geyer, EP De Freitas, A Carissimi, ... 2015 IEEE International Conference on Computer and Information Technology …, 2015	19	2015
BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platform J Anjos, G Fedak, CFR Geyer Concurrency and Computation: Practice and Experience, 2015	11	2015
Comparative analysis of OpenACC, OpenMP and CUDA using sequential and parallel algorithms CL Ledur, CM Zeve, JC dos Anjos 11th Workshop on parallel and distributed processing (WSPPD), 2013	8	2013
Enabling strategies for big data analytics in hybrid infrastructures JCS Anjos, KJ Matteussi, PRR De Souza, A da Silva Veith, G Fedak, ... 2018 International Conference on High Performance Computing & Simulation …, 2018	7	2018
Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments AS Veith, JCS Anjos, EP de Freitas, TT Lampoltshammer, CF Geyer 4th IFAC Symposium on Telematics Applications 49 (30), 114–119, 2016	7*	2016
Addressing data-intensive computing problems with the use of mapreduce on heterogeneous environments as desktop grid on slow links JCS Anjos, W Kolber, CR Geyer, LB Arantes 2012 13th Symposium on Computer Systems, 148-155, 2012	7	2012
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing A da Silva Veith, FR de Souza, MD de Assunção, L Lefèvre, ... Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019	5	2019
Analysis and performance evaluation of deep learning on big data KJ Matteussi, BF Zanchetta, G Bertoncello, JDD Dos Santos, ... 2019 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2019	5	2019
BIGhybrid--A Toolkit for Simulating MapReduce in Hybrid Infrastructures JCS Dos Anjos, G Fedak, CFR Geyer 2014 International Symposium on Computer Architecture and High Performance …, 2014	5	2014
Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures JCS Anjos, KJ Matteussi, PRRS Jr, GJA Grabher, GA Borges, ... IEEE Access 1 (1), 14, 2020	4	2020
Boosting Big Data Streaming Applications in Clouds With BurstFlow PRR De Souza, KJ Matteussi, ADS Veith, BF Zanchetta, VRQ Leithardt, ... IEEE Access 8, 219124-219136, 2020	3	2020
Aten: A dispatcher for big data applications in heterogeneous systems PRR de Souza, KJ Matteussi, JCS dos Anjos, JDD dos Santos, ... 2018 International Conference on High Performance Computing & Simulation …, 2018	3	2018
MRSG: a mapreduce simulator for desktop grids W Kolberg, JCS Anjos	3	2011
Estratégias para Uso de MapReduce em Ambientes Heterogêneos JCS Anjos, W Kolberg, L Arantes, CFR Geyer CLCAR Conferência Latinoamericana de Computación de Alto Rendimiento 1 (1 …, 2010	3	2010
A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment JLG Gross, KJ Matteussi, JCS dos Anjos, CFR Geyer International Conference on Service-Oriented Computing, 101-109, 2020	2	2020
Trabalhando com Big Data em Tempo Real MV Bordin, JCS dos Anjos, RB Schemmer, CFR Geyer XVI ERAD 2016 1, 71-87, 2016	2	2016
Framework Hadoop em Plataformas de Cloud e Cluster Computing RB Schemmer, JCS Anjos, AL Tibola, JF Barros, CFR Geyer XV ERAD 2015, 1-18, 2015	2	2015
An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture JCS dos Anjos, JLG Gross, KJ Matteussi, GV González, VRQ Leithardt, ... Sensors 21 (9), 2914, 2021	1	2021

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