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 Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai …, 2020 | 5 | 2020 |
A New Methodology for Edge Intelligence Data Quality Evaluation in Idd and Non-Iid Dataset in Federated Learning EGV Neto, SA Peixoto, VRQ Leithardt, JCSD Anjos, JF de Paz Santana Available at SSRN 4821752, 0 | | |
A Pre-Aggregation Strategy Towards Reduction on Job Completion Time in Stream Process Systems BF Zanchetta, PR Souza Jr, KJ Matteussi, VP Perego, JCS Anjos, ... | | |
A Survey on Collaborative Learning for Intelligent Autonomous Systems JCS Anjos, KJ Matteussi, FC Orlandi, JLV Barbosa, JS Silva, ... ACM Computing Surveys, 2023 | 6 | 2023 |
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 | 6 | 2012 |
Adequação da computação intensiva em dados para ambientes desktop grid com uso de MapReduce JCS Anjos | 1 | 2012 |
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 | 47 | 2021 |
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 |
Aprendizado Federado Hierárquico B Rosano, L Bittencourt, J Anjos, R Técnico-IC-PFG, PF de Graduação | | 2022 |
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 |
AvSchedP: Previsão de Disponibilidade Para Grades Oportunistas ES Fontoura, RB Schemmer, JC Anjos, AM Rodrigues, PKV Mangan, ... XIII Workshop em Clouds e Aplicações - SBRC 2015 - WCGA 1, 140-153, 2015 | | 2015 |
Big data processing using hybrid infrastructures such as cloud computing and desktop grids JCS Anjos | | 2017 |
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 |
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 |
Boosting big data streaming applications in clouds with burstFlow PRR Souza Junior, KJ Matteussi, AS Veith, BF Zanchetta, VRQ Leithardt, ... IEEE Access.[Piscataway, NJ]. Vol. 8 (2020), p. 219124-219136, 2020 | | 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 | 21 | 2020 |
Boosting Big Data Streaming Applications in Clouds with BurstFlow PRRDES JUNIOR, KJ MATTEUSSI, A DA SILVA, BF VEITH, ... | | |
Challenges of MapReduce in Grids and Cloud Computing JCS dos Anjos, P de Botelho Marcos, W Kolberg, CR Geyer, LB Arantes | | 2011 |
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 |
Computação Intensiva em Dados, Implementações e Experimentos na GridRS JCS dos Anjos, MV Bordin, AL Tibola, W Kolberg, CFR Geyer XIV ERAD 2014, 5-37, 2014 | | 2014 |