| 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 | 55 | 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 |
| 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 |
| 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 | 5 | 2018 |
| 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 |
| 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 | 3 | 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 | 3 | 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 | 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 |
| 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 |
| 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 | 1 | 2020 |
| Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. ADS Veith, FR de Souza, MD de Assunção, L Lefèvre, JCS dos Anjos ICPP, 106:1-106:10, 2019 | 1 | 2019 |
| Um Guia Para a Modelagem e Desenvolvimento de Aplicações Big Data Sobre o Modelo de Arqui-tetura Zeta KJ Matteussi, PRR de Souza Jr, JCS dos Anjos, CFR Geyer ERAD 2017 1, 83-102, 2017 | 1 | 2017 |
| Security Framework for Distributed Data Processing T Galibus, JCS dos Anjos, EP de Freitas, CFR Geyer, G Fedak, ... Minsk: Publishing Center of BSU, 2016 | 1 | 2016 |
Claudio GeyerProfessor, INF, UFRGS, BrasilBestätigte E-Mail-Adresse bei inf.ufrgs.br
