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Julio C. S. dos Anjos
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2020 – today
- 2024
- [j19]Julio C. S. dos Anjos
, Kassiano J. Matteussi
A Survey on Collaborative Learning for Intelligent Autonomous Systems. ACM Comput. Surv. 56(4): 98:1-98:37 (2024) - [j18]João Eduardo Costa Gomes
Surveying Emerging Network Approaches for Military Command and Control Systems. ACM Comput. Surv. 56(6): 143:1-143:38 (2024) - [j17]Ancilon Leuch Alencar
Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks. Future Internet 16(3): 97 (2024) - [j16]Rodrigo B. Dos Passos
Towards a Decentralized Blockchain-Based Resource Monitoring Solution For Distributed Environments. J. Internet Serv. Appl. 15(1): 1-13 (2024) - [j15]Mauricio D. O. Farina
Hardware-Independent Embedded Firmware Architecture Framework. J. Internet Serv. Appl. 15(1): 14-24 (2024) - [j14]Shirlei L. O. Do Carmo
Data quantitative and qualitative study in Brazilian Open Data Portals. J. Internet Serv. Appl. 15(1): 72-82 (2024) - [j13]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:
Micro-Chain: A Cluster Architecture for Managing NDN Microservices. J. Internet Serv. Appl. 15(1): 424-437 (2024) - [c13]Carlos André Rodrigues da Silva, Lauro de Souza Silva, Julio Cesar Santos dos Anjos, Jorgito Matiuzzi Stocchero
SDN Supported Network State Aware Command and Control Application Framework. AINA (4) 2024: 448-459 - [c12]Otávio Augusto Rocha Da Cruz
Micro-Chain: Towards the use of NDN microservices. SAC 2024: 1099-1103 - [c11]Guilherme Antonio Borges
Federated Learning for Sleep Detection Problems. SMARTCOMP 2024: 368-373 - 2023
- [j12]Fernanda C. Orlandi
Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment. IEEE Access 11: 78845-78857 (2023) - [j11]Mauricio D. O. Farina
Real-Time Auto Calibration for Heterogeneous Wireless Sensor Networks. J. Internet Serv. Appl. 14(1): 1-9 (2023) - [c10]Dante A. C. Barone, Juliano Araujo Wickboldt, Maria Cláudia Reis Cavalcanti, David F. C. Moura, Júlio Cesar Cardoso Tesolin, André M. Demori
Integrating a Multi-Agent System Simulator and a Network Emulator to Realistically Exercise Military Network Scenarios. SIMULTECH 2023: 194-201 - 2022
- [j10]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:
Learning analytics and collaborative groups of learners in distance education: a systematic mapping study. Informatics Educ. 21(1): 113-146 (2022) - [j9]Kassiano J. Matteussi
Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines. Sensors 22(13): 4756 (2022) - 2021
- [j8]Julio C. S. dos Anjos
An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture. Sensors 21(9): 2914 (2021) - 2020
- [j7]Julio C. S. dos Anjos
Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures. IEEE Access 8: 170281-170294 (2020) - [j6]Paulo Ricardo Rodrigues De Souza
Boosting Big Data Streaming Applications in Clouds With BurstFlow. IEEE Access 8: 219124-219136 (2020) - [c9]João Luiz Grave Gross, Kassiano José Matteussi, Julio C. S. dos Anjos
A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment. ICSOC 2020: 101-109
2010 – 2019
- 2019
- [j5]Joneval Zanella Gomes, Jorge Luis Victória Barbosa
Ubiquitous Intelligent Services for Vehicular Users: A Systematic Mapping. Interact. Comput. 31(5): 465-479 (2019) - [j4]Julio C. S. dos Anjos
Fast-Sec: an approach to secure Big Data processing in the cloud. Int. J. Parallel Emergent Distributed Syst. 34(3): 272-287 (2019) - [c8]Alexandre Da Silva Veith
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. ICPP 2019: 106:1-106:10 - [c7]Kassiano J. Matteussi, Breno F. Zanchetta, Germano Bertoncello, Jobe D. D. dos Santos, Julio C. S. dos Anjos
Analysis and Performance Evaluation of Deep Learning on Big Data. ISCC 2019: 1-6 - 2018
- [c6]Paulo Ricardo Rodrigues De Souza
Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems. HPCS 2018: 585-592 - [c5]Julio C. S. dos Anjos
Enabling Strategies for Big Data Analytics in Hybrid Infrastructures. HPCS 2018: 869-876 - 2017
- [i1]Alexandre Da Silva Veith, Julio C. S. dos Anjos, Edison Pignaton de Freitas, Thomas J. Lampoltshammer, Cláudio Fernando Resin Geyer:
Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments. CoRR abs/1708.04796 (2017) - 2016
- [j3]Julio C. S. dos Anjos
BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platform. Concurr. Comput. Pract. Exp. 28(8): 2416-2439 (2016) - 2015
- [j2]Julio C. S. dos Anjos
MRA++: Scheduling and data placement on MapReduce for heterogeneous environments. Future Gener. Comput. Syst. 42: 22-35 (2015) - [c4]Julio C. S. dos Anjos
SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. CIT/IUCC/DASC/PICom 2015: 199-206 - [c3]Julio Cesar Santos dos Anjos
Genetic Mapping of Diseases through Big Data Techniques. ICEIS (1) 2015: 279-286 - 2014
- [c2]Julio C. S. dos Anjos
BIGhybrid - A Toolkit for Simulating MapReduce in Hybrid Infrastructures. SBAC-PAD (Workshops) 2014: 132-137 - 2013
- [j1]Wagner Kolberg, Pedro de B. Marcos, Julio C. S. dos Anjos
MRSG - A MapReduce simulator over SimGrid. Parallel Comput. 39(4-5): 233-244 (2013) - 2012
- [c1]Julio Cesar Santos dos Anjos
Addressing Data-Intensive Computing Problems with the Use of MapReduce on Heterogeneous Environments as Desktop Grid on Slow Links. WSCAD-SSC 2012: 148-155
Coauthor Index
aka: Cláudio F. R. Geyer
aka: Kassiano José Matteussi
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last updated on 2024-10-15 21:41 CEST by the dblp team
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