Julio Cesar Santos dos Anjos

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	Wszystkie	Od 2019
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Claudio GeyerProfessor, INF, UFRGS, BrasilZweryfikowany adres z inf.ufrgs.br
Kassiano José MatteussiPh.D - Federal University of Rio Grande do Sul - UFRGSZweryfikowany adres z inf.ufrgs.br
Valderi LeithardtIscte – Instituto Universitário de Lisboa, PortugalZweryfikowany adres z ieee.org
Edison Pignaton de FreitasAssociate Professor at Federal University of Rio Grande do SulZweryfikowany adres z ufrgs.br
Luciana ArantesAssociate Professor, Sorbonne University, CNRS, LIP6Zweryfikowany adres z lip6.fr
Alexandre da Silva VeithNokia Bell LabsZweryfikowany adres z nokia-bell-labs.com
Gilles FedakINRIA, University of LyonZweryfikowany adres z inria.fr
Paulo Souza JuniorUniv Rennes, Inria, CNRS, IRISAZweryfikowany adres z irisa.fr
Breno ZanchettaGraduate Student of Computer ScienceZweryfikowany adres z inf.ufrgs.br
Iván Carrera IzurietaAssociate Professor - Researcher, Escuela Politécnica Nacional. Quito - EcuadorZweryfikowany adres z epn.edu.ec
ÁLVARO LOZANO MURCIEGOPhD at University of SalamancaZweryfikowany adres z usal.es
Marcos AssuncaoETS MontrealZweryfikowany adres z acm.org
Guilherme Antonio BorgesProfessor at the Federal Institute Sul-rio-grandense (IFSUL)Zweryfikowany adres z ifsul.edu.br
Volker MarklTechnische Universität BerlinZweryfikowany adres z tu-berlin.de
Paul FergusProfessor of Machine Learning at Liverpool John Moores UniversityZweryfikowany adres z ljmu.ac.uk
Gabriel Villarrubia GonzalezUniversidad de SalamancaZweryfikowany adres z usal.es
Alexandre CarissimiUniversidade Federal do Rio Grande do SulZweryfikowany adres z inf.ufrgs.br
Felix FreitagTechnical University of Catalonia, BarcelonaTECHZweryfikowany adres z ac.upc.edu
Jean Luca BezLawrence Berkeley National LaboratoryZweryfikowany adres z lbl.gov
Sandro José RigoProfessor de Ciência da Computação, UNISINOSZweryfikowany adres z unisinos.br

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Julio Cesar Santos dos Anjos

UFC - Itapaje and PPGETI - Technological Center

Zweryfikowany adres z ufc.br - Strona główna

Big Data Hybrid Systems Autonomous Systems Distributed Systems Collaborative Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	72	2015
Mrsg–A mapreduce simulator over simgrid W Kolberg, PDB Marcos, JCS Anjos, AKS Miyazaki, CR Geyer, ... Parallel Computing 39 (4), 233-244, 2013	57	2013
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	53	2021
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	27	2020
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	24	2015
Learning analytics and collaborative groups of learners in distance education: a systematic mapping study LM da SILVA, LPS Dias, JLV Barbosa, SJ Rigo, J dos ANJOS, CFR Geyer, ... Informatics in Education 21 (1), 113-146, 2022	22	2022
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	22	2020
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	15	2015
Entropy to mitigate non-IID data problem on federated learning for the edge intelligence environment FC Orlandi, JCS Dos Anjos, VRQ Leithardt, JFDP Santana, CFR Geyer IEEE Access 11, 78845-78857, 2023	14	2023
Performance evaluation analysis of spark streaming backpressure for data-intensive pipelines KJ Matteussi, JCS Dos Anjos, VRQ Leithardt, CFR Geyer Sensors 22 (13), 4756, 2022	14	2022
Multi-objective reinforcement learning for reconfiguring data stream analytics on edge computing A da Silva Veith, FR De Souza, MD de Assuncao, L Lefèvre, ... Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019	14	2019
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	12	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	12*	2016
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	11	2013
Secure command and control for internet of battle things using novel network paradigms JM Stocchero, CA Silva, L de Souza Silva, MA Lawisch, JCS dos Anjos, ... IEEE Communications Magazine 61 (5), 166-172, 2022	10	2022
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	10	2019
A Survey on Collaborative Learning for Intelligent Autonomous Systems JCS Anjos, KJ Matteussi, FC Orlandi, JLV Barbosa, JS Silva, ... ACM Computing Surveys, 2023	8	2023
Ubiquitous Intelligent Services to Vehicular Users: a Systematic Mapping JZ Gomes, JLV Barbosa, CFR Geyer, JCS Anjos, JV Canto, G Pessin Interacting with Computers 31 (5), 465–479, 2019	8	2019
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	7	2018
Addressing data-intensive computing problems with the use of mapreduce on heterogeneous environments as desktop grid on slow links JCS Anjos, W Kolberg, CR Geyer, LB Arantes 2012 13th Symposium on Computer Systems, 148-155, 2012	7	2012

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