BARBOSA, M. (2025) “FOCCA: Fog-cloud continuum architecture for data imputation and load balancing in Smart Grids.”
BARROS, E. (2025) “Energy management in smart grids: An Edge-Cloud Continuum approach with Deep Q-learning.”
BITTENCOURT, J.C.N. (2025) “On the spatiotemporal knowledge-driven vulnerability assessment of urban areas: A clustering-based approach.”
CORREA, D. (2025) “Evaluating Multi-Label Machine Learning Models for Smart Home Environments.”
DA SILVA, C.J.N. (2025) “TinyFed: Lightweight Federated Learning for Constrained Devices.”
FERREIRA, J. (2025) “Leading the Way: Reducing network traffic in vehicular Ad Hoc networks through cluster leader algorithms.”
FREIRE, M. (2025) “Clear data, clear roads: Imputing missing data for enhanced intersection flow of connected autonomous vehicles.”
FREIRE, M. (2025) “RanA: Uma Abordagem Híbrida para QKD BB84 com Expansão e Encapsulamento de Chave”, in.
MAIA, A. (2025) “Q-Edge: Leveraging Quantum Computing for Enhanced Software Engineering in Vehicular Networks”, in.
MELO, T. (2025) “A New Perspective on Key Expansion for QKD BB84: The RanA Model”, in.
MOTA, E. and PEIXOTO, M.L.M. (2025) “ArchW3: An adaptive blockchain wallet architecture for Web3 applications.”
SEIXAS, N. (2025) “Bridging the Cost Gap: A Comprehensive Analysis of CAPEX and OPEX for Smart Home Transition from a Provider’s Perspective”, in.
CAMPOS, D. (2024) “Designing, Implementing, and Testing AI-Oriented Smart Home Applications: Challenges and Best Practices”, in.
CRUZ, D.T. (2024) “Software Development Practices and Tools for University-Industry R&D projects”, in.
FERREIRA, I.F., PEIXOTO, M.L.M. and FIGUEIREDO, G.B. (2024) “Fairness-oriented multicast routing for distributed interactive applications.”
HENRIQUE SOUZA SILVA, C. (2024) “RESTGuardian: a system for controlling personal and sensitive data in REST API responses”, in.
JR, J. (2024) “Unleashing the Future of Smart Homes: A Revelation of Cutting-Edge Distributed Architecture”, in.
MARTINS, L. (2024) “A Case Study of Smart Home Development.”
MOTA, E. (2024) “A Self-Configuration Framework for Balancing Services in the Fog of Things.”
OLIVEIRA, L.T. (2024) “Enhancing modular application placement in a hierarchical fog computing: A latency and communication cost-sensitive approach.”
PEIXOTO, M.L.M. (2024) “Quantum Edge Computing for Data Analysis in Connected Autonomous Vehicles”, in.
RAMPRASAD, B. (2024) “StreamBucket: In-Network Adaptation for Late-Binding Stream Processing Systems”, in.
VIEIRA, C.C.A. (2024) “RAaaS: Resource Allocation as a Service in multiple cloud providers.”
ARAUJO, G.B., PEIXOTO, M. and SAMPAIO, L.N. (2023) “A comprehensive and configurable simulation environment for supporting vehicular named-data networking applications.”
BARBOSA, M.T.M. (2023) “Q-balance: An Approach for Balancing Data Imputation Tasks on Edge resources of a Smart Grid”, in.
PAULA, A.D.O. (2023) “Melhorando a Integridade de Sistemas de Automação e Comunicação em Smart Grids - Uma Arquitetura de Combate a Ciberataques”, in.
PEIXOTO, M. (2023) “FogJam: A Fog Service for Detecting Traffic Congestion in a Continuous Data Stream VANET.”
SANTOS, J. (2023) “Fog environment proposal to reduce energy consumption on public roads in smart cities”, in.
SILVA, H. (2023) “Avaliação de Desempenho de Estratégias de Virtualização Alternative Title: Performance Evaluation of Virtualization Strategies”, in.
ARAUJO, G., PEIXOTO, M. and SAMPAIO, L. (2022) “NDN4IVC”, in.
COSTA, D.G. (2022) “A Survey of Emergencies Management Systems in Smart Cities.”
PAULA, A.D.O. (2022) “STRAYER: A Smart Grid adapted automation architecture against cyberattacks.”
PEIXOTO, M.L.M., GENEZ, T.A.L. and BITTENCOURT, L.F. (2022) “Hierarchical Scheduling Mechanisms in Multi-Level Fog Computing.”
SEPULVENE, L. (2022) “Performance Evaluation of Machine Learning Techniques for Fault Diagnosis in Vehicle Fleet Tracking Modules.”
ARAUJO, G.B., PEIXOTO, M.L.M. and SAMPAIO, L.N. (2021) “NDN4IVC: Um Arcabouço para Simulação e Experimentação de Aplicações em Redes Veiculares de Dados Nomeados”, in.
BARROS, E.B. (2021) “KaspaFog: uma abordagem na névoa para o gerenciamento de fontes e cargas de eletricidade de uma Microgrid com foco na redução energética”, in.
COIMBRA, D.B. (2021) “Analyzing the quality of local and global multidimensional projections using performance evaluation planning.”
PEIXOTO, M. (2021) “A traffic data clustering framework based on fog computing for VANETs.”
PEREIRA, R.S. (2021) “IoTFogSim: Um Simulador Orientado a Eventos para Avaliação de Aplicações baseadas em IoT-Fog-Cloud”, in.
RANGEL, E.O., COSTA, D.G. and PEIXOTO, M.M.L. (2021) “An Optimization Approach for Emergency Vehicles Dispatching and Traffic Lights Adjustments in Response to Emergencies in Smart Cities”, in.
RODRIGUES, D.O. (2021) “Exploring Hybrid-Multimodal Routing to Improve User Experience in Urban Trips.”
SANTOS, P.V.G. (2021) “Recommender Systems Evaluator: A Framework for Evaluating the Performance of Recommender Systems”, in.
DA COSTA, J.B.D. (2020) “MORFEU: Mecanismo baseado em Otimização Combinatória para Alocação de Tarefas em Nuvens Veiculares”, in.
LADEIRA, L.Z. (2020) “CERVA: Roteamento Contextual para Veículos com Risco Espaço-temporal”, in.
LOBATO, W. (2020) “A Cache Strategy for Intelligent Transportation System to Connected Autonomous Vehicles”, in.
PEIXOTO, M.L.M. (2020) “Exploiting Fog Computing with an Adapted DBSCAN for Traffic Congestion Detection System”, in.
RONDON, L.B. (2020) “Protocolo baseado em Geometria Computacional para Descoberta de Cache em Redes Veiculares de Dados Nomeados”, in.
RONDON, L.B. (2020) “Towards Improved Vehicular Information-Centric Networks by Efficient Caching Discovery.”
BARBOSA, M.T.M. (2019) “Energesis: Fog Smart Meter para Hospedagem Compartilhada”, in.
BARROS, E.B.C. (2019) “Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids.”
LEITE FILHO, D.M. (2019) “A cloud computing price model based on virtual machine performance degradation.”
MACIEL PEIXOTO, M.L. (2019) “Multidimensional Projections Analysis Using Performance Evaluation Planning”, in.
BARBOSA, M.T. (2018) “Imputação de dados faltantes no ambiente de monitoramento de consumo em Smart Grids”, in.
BARROS, E. (2018) “A Fog Model for Dynamic Load Flow Analysis in Smart Grids”, in.
BARROS, E.B.C. (2018) “Utilizando Fog para a Análise do Fluxo de Carga Dinâmico nas Smartgrids”, in.
BATISTA, B.G. (2018) “Architecture for Internet of Things Environment Management with Quality of Service Assurance”, in.
BATISTA, B.G. (2018) “Heuristic Performance Evaluation for Load Balancing in Cloud”, in.
BATISTA, B.G. (2018) “Security Overhead on a Service with Automatic Resource Management: A Performance Analysis.”
BATISTA, E. (2018) “Load Balancing in the Fog of Things Platforms Through Software-Defined Networking”, in.
CALDEIRA, I.D.B. (2018) “Recuperação Ciente de QoS e Sensível ao Contexto: Uma Heurística de Tolerância a Falhas para Redes de Backbone”, in.
FERREIRA, R.S. (2018) “Evaluation of Performance Saturation Using the Hadoop Framework”, in.
MORAIS, N.B. (2018) “Performance Evaluation of Heuristics for Cloud Workload Balancing”, in.
MOTA, E., COIMBRA, D. and PEIXOTO, M. (2018) “Cartola FC Data Analysis”, in.
OLIVEIRA, L. (2018) “Arquitetura baseada em Computação em Névoa para Sistemas de Gerenciamento Inteligente de Água”, in.
PEIXOTO, M. (2018) “Analysis of gap filling algorithms to smart surveillance environment”, in.
PEIXOTO, M.L. (2018) “Data Missing Problem in Smart Surveillance Environment”, in.
ARAUJO, M.R. (2017) “Alocação dinâmica de largura de banda com predição dos próximos GRANT em redes Long-Reach PON”, in.
BATISTA, B.G. (2017) “A QoS-driven approach for cloud computing addressing attributes of performance and security.”
FERREIRA, C.H.G. (2017) “A low cost workload generation approach through the cloud for capacity planning in service-oriented systems”, in.
LECOMTE, G. (2017) “Gap Filling of Missing Streaming Data in a Network of Intelligent Surveillance Cameras”, in.
LEITE, D.M. (2017) “The influence of resource allocation on cloud computing performance”, in.
MORAIS, N.B. (2017) “Avaliação de Algoritmos de Balanceamento de Carga para Ambientes em Nuvem”, in.
PINTO, A.A. (2017) “A Performance Evaluation of an Automatic Web Services Composition System”, in.
ALVES, D.C. (2016) “CM Cloud Simulator: A Cost Model Simulator Module for Cloudsim”, in.
LEITE, D.M. (2016) “A utilização da função affinity na manutenção de QoS nos serviços de nuvem: uma comparação de desempenho entre os virtualizadores Xen e KVM”, in.
LEONE, M. (2016) “Predictive Dynamic Algorithm: An Approach toward QoS-Aware Service for IoT-Cloud Environment”, in.
OLIVEIRA, M.R.S. (2016) “Tratamento de Valores Ausentes na Alocação de Máquinas Virtuais para a Computação em Nuvem”, in.
RIBEIRO, J.B. (2016) “Avaliação de Desempenho de Técnicas de Migração de Máquinas Virtuais para o Ambiente de Computação em Nuvem.”
FERREIRA, C.H.G. (2014) “Identificação de gargalos de desempenho em ambientes virtuais para uso em computação em nuvem”, in.
CANDIDO, P.G.L. (2013) “Alocação Proativa de Recursos Virtualizados Aplicada à Computação em Nuvem”, in.
FERREIRA, C.H.G. (2013) “Avaliação de desempenho de virtualizadores aplicados a computação em nuvem”, in.
LEITE, D. (2013) “Avaliação de desempenho em ambiente computacional voltado para computação em nuvem com foco em aspectos de planejamento de capacidade.”
LEITE, D.M. (2013) “P2P Routing in the Metascheduler Architecture to provide QoS in Cloud Computing.”
MENDONCA, A.J.L. (2013) “Balanceamento de carga em servidores utilizando o proxy reverso”, in.
PRAZERES, C.V.S. and PEIXOTO, M.L.M. (2013) “A Multimodal Interface for the Discovery and Invocation of Web Services.”
RIBEIRO, J.B. (2013) “Avaliação de Desempenho de Funções Hash”, in.
RIBEIRO, J.B. (2013) “Avaliação de desempenho de técnicas de migração de máquinas virtuais”, in.
ROSA, M. (2013) “Avaliação de Desempenho de um Roteador Wireless”, in.
SA, C.C.A., RESENDE, E.C. and PEIXOTO, M.L.M. (2013) “Avaliação de Desempenho dos Algoritmos de Mineração de Dados KNN e SVM”, in.
CANDIDO, P.G.L. and PEIXOTO, M.L.M. (2012) “Alocação de Recursos para Computação em Nuvem Aplicada ao MACC”, in.
LEITE, D.M. (2012) “Performance Evaluation of Virtual Machine Monitors for Cloud Computing”, in.
RIBEIRO, G.S. and PEIXOTO, M.L.M. (2012) “Uso Integrado de Computação em Nuvem e Google Android O.S. no Processo de Descoberta de Conhecimento”, in.
PEIXOTO, M.L.M. (2011) “Gerenciamento de Máquinas Virtuais em um Cloud Multimídia por meio do Metaescalonamento”, in.
KUEHNE, B.T. (2010) “Dynamic Web Service Composition Middleware: A New Approach for QoS Guarantees”, in.
PEIXOTO, M.L.M. (2010) “A Metascheduler Architecture to provide QoS on the Cloud Computing”, in.
MONACO, F.J., PEIXOTO, M.L.M. and NERY, M. (2009) “An orthogonal real-time scheduling architecture for responsiveness QoS requirements in SOA environments”, in.
PEIXOTO, M.L.M., SANTANA, M.J. and SANTANA, R.H.C. (2009) “A P2P Hierarchical Metascheduler to Obtain QoS in a Grid Economy Services”, in.
PEIXOTO, M.L.M. (2008) “Arquitetura de Escalonamento Ortogonal de Tempo-Real para garantias de QoS em Servidores Web”, in.
MONACO, F.J., Cheng, X.S. and PEIXOTO, M.L.M. (2007) “A Tool for Statistical Analysis of Navigational Modelling for Web Site Personalization and Reengineering”, in.
PEIXOTO, M.L.M., TOTT, R.F. and MONACO, F.J. (2007) “Política de Escalonamento de Tempo-Real para Garantia de QoS Absoluta em Cluster de Servidores Web Heterogêneos”, in.
