Julio C. S. dos Anjos

Orcid: 0000-0003-3623-2762

According to our database1, Julio C. S. dos Anjos authored at least 27 papers between 2012 and 2024.

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Bibliography

2024
Surveying Emerging Network Approaches for Military Command and Control Systems.
ACM Comput. Surv., June, 2024

A Survey on Collaborative Learning for Intelligent Autonomous Systems.
ACM Comput. Surv., April, 2024

Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks.
Future Internet, March, 2024

SDN Supported Network State Aware Command and Control Application Framework.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Real-Time Auto Calibration for Heterogeneous Wireless Sensor Networks.
J. Internet Serv. Appl., January, 2023

Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment.
IEEE Access, 2023

Integrating a Multi-Agent System Simulator and a Network Emulator to Realistically Exercise Military Network Scenarios.
Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, 2023

2022
Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines.
Sensors, 2022

Learning analytics and collaborative groups of learners in distance education: a systematic mapping study.
Informatics Educ., 2022

2021
An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture.
Sensors, 2021

2020
Boosting Big Data Streaming Applications in Clouds With BurstFlow.
IEEE Access, 2020

Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures.
IEEE Access, 2020

A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

2019
Fast-Sec: an approach to secure Big Data processing in the cloud.
Int. J. Parallel Emergent Distributed Syst., 2019

Ubiquitous Intelligent Services for Vehicular Users: A Systematic Mapping.
Interact. Comput., 2019

Analysis and Performance Evaluation of Deep Learning on Big Data.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing.
Proceedings of the 48th International Conference on Parallel Processing, 2019

2018
Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017
Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments.
CoRR, 2017

2016
BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platform.
Concurr. Comput. Pract. Exp., 2016

2015
MRA++: Scheduling and data placement on MapReduce for heterogeneous environments.
Future Gener. Comput. Syst., 2015

Genetic Mapping of Diseases through Big Data Techniques.
Proceedings of the ICEIS 2015, 2015

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
BIGhybrid - A Toolkit for Simulating MapReduce in Hybrid Infrastructures.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014

2013
MRSG - A MapReduce simulator over SimGrid.
Parallel Comput., 2013

2012
Addressing Data-Intensive Computing Problems with the Use of MapReduce on Heterogeneous Environments as Desktop Grid on Slow Links.
Proceedings of the 13th Symposium on Computer Systems, 2012


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