Addressing Data-Intensive Computing Problems with the Use of MapReduce on Heterogeneous Environments as Desktop Grid on Slow Links. - Julio Cesar Santos dos Anjos; Wagner Kolberg; Cláudio F. R. Geyer; Luciana Bezerra Arantes (WSCAD-SSC, 2012)

MRSG - A MapReduce simulator over SimGrid. - Wagner Kolberg; Pedro de B. Marcos; Julio C. S. dos Anjos; Alexandre K. S. Miyazaki; Cláudio Fernando Resin Geyer; Luciana Arantes (Parallel Comput., 2013)

BIGhybrid - A Toolkit for Simulating MapReduce in Hybrid Infrastructures. - Julio C. S. dos Anjos; Gilles Fedak; Cláudio F. R. Geyer (SBAC-PAD (Workshops), 2014)

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. - Julio C. S. dos Anjos; Marcos D. Assuncao; Jean Luca Bez; Cláudio F. R. Geyer; Edison Pignaton de Freitas; Alexandre Carissimi; João Paulo Carvalho Lustosa da Costa; Gilles Fedak; Felix Freitag; Volker Markl; Paul Fergus; Rubem Pereira (CIT/IUCC/DASC/PICom, 2015)

Genetic Mapping of Diseases through Big Data Techniques. - Julio Cesar Santos dos Anjos; Bruno Reckziegel Filho; Junior F. Barros; Raffael B. Schemmer; Cláudio F. R. Geyer; Ursula Matte (ICEIS (1), 2015)

MRA++: Scheduling and data placement on MapReduce for heterogeneous environments. - Julio C. S. dos Anjos; Ivan Carrera Izurieta; Wagner Kolberg; Andre Luis Tibola; Luciana Bezerra Arantes; Cláudio F. R. Geyer (Future Gener. Comput. Syst., 2015)

BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platform. - Julio C. S. dos Anjos; Gilles Fedak; Cláudio Fernando Resin Geyer (Concurr. Comput. Pract. Exp., 2016)

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments. - Alexandre Da Silva Veith; Julio C. S. dos Anjos; Edison Pignaton de Freitas; Thomas J. Lampoltshammer; Cláudio Fernando Resin Geyer (CoRR, 2017)

Big data processing using hybrid infrastructures such as cloud computing and desktop grids - Julio Cesar Santos dos Anjos (2017)

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures. - Julio C. S. dos Anjos; Kassiano J. Matteussi; Paulo Ricardo Rodrigues De Souza; Alexandre Da Silva Veith; Gilles Fedak; Jorge Luis Victória Barbosa; Cláudio F. R. Geyer (HPCS, 2018)

Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems. - Paulo Ricardo Rodrigues De Souza; Kassiano J. Matteussi; Julio C. S. dos Anjos; Jobe D. D. dos Santos; Cláudio Fernando Resin Geyer; Alexandre Da Silva Veith (HPCS, 2018)

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. - Alexandre Da Silva Veith; Felipe Rodrigo de Souza; Marcos Dias de Assunção; Laurent Lefèvre; Julio Cesar Santos dos Anjos (ICPP, 2019)

Analysis and Performance Evaluation of Deep Learning on Big Data. - Kassiano J. Matteussi; Breno F. Zanchetta; Germano Bertoncello; Jobe D. D. dos Santos; Julio C. S. dos Anjos; Cláudio F. R. Geyer (ISCC, 2019)

Ubiquitous Intelligent Services for Vehicular Users: A Systematic Mapping. - Joneval Zanella Gomes; Jorge Luis Victória Barbosa; Cláudio Fernando Resin Geyer; Julio Cesar Santos dos Anjos; José Vicente Canto dos Santos; Gustavo Pessin (Interact. Comput., 2019)

Fast-Sec: an approach to secure Big Data processing in the cloud. - Julio C. S. dos Anjos; Tatiana Galibus; Cláudio F. R. Geyer; Gilles Fedak; João Paulo C. L. da Costa; Rubem Pereira; Edison Pignaton de Freitas (Int. J. Parallel Emergent Distributed Syst., 2019)

A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment. - João Luiz Grave Gross; Kassiano José Matteussi; Julio C. S. dos Anjos; Cláudio Fernando Resin Geyer (ICSOC, 2020)

Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures. - Julio C. S. dos Anjos; Kassiano J. Matteussi; Paulo Ricardo Rodrigues De Souza; Gabriel J. A. Grabher; Guilherme A. Borges; Jorge L. V. Barbosa; Gabriel Villarrubia-González; Valderi R. Q. Leithardt; Cláudio F. R. Geyer (IEEE Access, 2020)

Boosting Big Data Streaming Applications in Clouds With BurstFlow. - Paulo Ricardo Rodrigues De Souza; Kassiano J. Matteussi; Alexandre Da Silva Veith; Breno F. Zanchetta; Valderi R. Q. Leithardt; Álvaro Lozano Murciego; Edison Pignaton de Freitas; Julio C. S. dos Anjos; Cláudio F. R. Geyer (IEEE Access, 2020)

An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture. - Julio C. S. dos Anjos; João Luiz Grave Gross; Kassiano J. Matteussi; Gabriel Villarrubia-González; Valderi R. Q. Leithardt; Cláudio F. R. Geyer (Sensors, 2021)

Learning analytics and collaborative groups of learners in distance education: a systematic mapping study. - Lidia Martins da Silva; Lucas P. S. Dias; Jorge L. V. Barbosa; Sandro José Rigo; Julio C. S. dos Anjos; Cláudio Fernando Resin Geyer; Valderi R. Q. Leithardt (Informatics Educ., 2022)

Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines. - Kassiano J. Matteussi; Julio C. S. dos Anjos; Valderi R. Q. Leithardt; Cláudio F. R. Geyer (Sensors, 2022)

Integrating a Multi-Agent System Simulator and a Network Emulator to Realistically Exercise Military Network Scenarios. - Dante A. C. Barone; Juliano Araújo Wickboldt; Maria Cláudia Reis Cavalcanti; David F. C. Moura; Júlio Cesar Cardoso Tesolin; André M. Demori; Julio C. S. dos Anjos; Leonardo Filipe Batista Silva de Carvalho; João Eduardo Costa Gomes; Edison Pignaton de Freitas (SIMULTECH, 2023)

Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment. - Fernanda C. Orlandi; Julio C. S. dos Anjos; Valderi R. Q. Leithardt; Juan Francisco De Paz Santana; Cláudio F. R. Geyer (IEEE Access, 2023)

Real-Time Auto Calibration for Heterogeneous Wireless Sensor Networks. - Mauricio D. O. Farina; Julio C. S. dos Anjos; Edison Pignaton de Freitas (J. Internet Serv. Appl., 2023)

SDN Supported Network State Aware Command and Control Application Framework. - Carlos André Rodrigues da Silva; Lauro de Souza Silva; Julio Cesar Santos dos Anjos; Jorgito Matiuzzi Stocchero; Juliano Araújo Wickboldt; Edison Pignaton de Freitas (AINA (4), 2024)

Micro-Chain: Towards the use of NDN microservices. - Otávio Augusto Rocha Da Cruz; Carlos Eduardo Pereira; Edison Pignaton de Freitas; Paulo Mendes 001; Denis Lima do Rosário; Eduardo Coelho Cerqueira; Antonio Arlis Santos da Silva; Julio Cesar Santos dos Anjos (SAC, 2024)

Security Authentication on the Edge: A Step Further to Defense in Depth for Internet of Battle Things. - Márcio Antônio Lawisch; Julio Cesar Santos dos Anjos; Edison Pignaton de Freitas (SDS, 2024)

Federated Learning for Sleep Detection Problems. - Guilherme Antonio Borges; Julio Cesar Santos dos Anjos; Jorge Sá Silva (SMARTCOMP, 2024)

Data quantitative and qualitative study in Brazilian Open Data Portals. - Shirlei L. O. Do Carmo; Cláudio Fernando Resin Geyer; Julio C. S. dos Anjos (J. Internet Serv. Appl., 2024)

Micro-Chain: A Cluster Architecture for Managing NDN Microservices. - Otávio A. R. Da Cruz; Antonio A. S. Da Silva; Paulo Jorge Milheiro Mendes; Denis Lima do Rosário; Eduardo Coelho Cerqueira; Julio C. S. dos Anjos; Carlos Eduardo Pereira; Edison Pignaton de Freitas (J. Internet Serv. Appl., 2024)

Hardware-Independent Embedded Firmware Architecture Framework. - Mauricio D. O. Farina; Daniel Henrique Pohren; Alexandre dos Santos Roque; Antonio Silva; João Paulo C. L. da Costa; Lisandra Manzoni Fontoura; Julio C. S. dos Anjos; Edison Pignaton de Freitas (J. Internet Serv. Appl., 2024)

Towards a Decentralized Blockchain-Based Resource Monitoring Solution For Distributed Environments. - Rodrigo B. Dos Passos; Kassiano J. Matteussi; Julio C. S. dos Anjos; Cláudio Fernando Resin Geyer (J. Internet Serv. Appl., 2024)

Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks. - Ancilon Leuch Alencar; Marcelo Dornbusch Lopes; Anita Maria da Rocha Fernandes; Julio Cesar Santos dos Anjos; Juan Francisco De Paz Santana; Valderi Reis Quietinho Leithardt (Future Internet, 2024)

A Survey on Collaborative Learning for Intelligent Autonomous Systems. - Julio C. S. dos Anjos; Kassiano J. Matteussi; Fernanda C. Orlandi; Jorge L. V. Barbosa; Jorge Sá Silva; Luiz F. Bittencourt; Cláudio F. R. Geyer (ACM Comput. Surv., 2024)

Surveying Emerging Network Approaches for Military Command and Control Systems. - João Eduardo Costa Gomes; Ricardo Rodrigues Ehlert; Rodrigo Murillo Boesche; Vinicius Santosde Lima; Jorgito Matiuzzi Stocchero; Dante A. C. Barone; Juliano Araújo Wickboldt; Edison Pignaton de Freitas; Julio C. S. dos Anjos; Ricardo Queiroz de Araujo Fernandes (ACM Comput. Surv., 2024)

A Platform for Early Class Dropout Prediction of University Students. - Guilherme Antonio Borges; Carolina Filipa Dos Santos Pedro; Julio Cesar Santos dos Anjos; André Rodrigues 001; Fernando Boavida; Jorge Sá Silva (IEEE Access, 2025)

Adding Data Quality to Federated Learning Performance Improvement. - Ernesto Gurgel Valente Neto; Solon Alves Peixoto; Valderi Reis Quietinho Leithardt; Juan Francisco De Paz Santana; Julio C. S. dos Anjos (IEEE Access, 2025)