Publications
Research output from the SMARTNESS community on Zenodo — 99 publications.
Multi UAVs Preflight Planning in a Shared and Dynamic Airspace
Sow, Amath, Rodriguez Cesen, Mauricio Javier, Martins Campos de Oliveira, Fabíola, et al.
May 25, 2026
Preflight planning for large-scale Unmanned Aerial Vehicle (UAV) fleets in dynamic, shared airspace presents significant challenges, including temporal No-Fly Zones (NFZs), heterogeneous vehicle profiles, and strict delivery deadlines. While Multi-Agent Path Finding (MAPF) provides a formal framewor...
Zero-Lag Smart Pipes for Smart Factories: AI-Driven Programmable Transport in Open RAN
Rocha, Flávio
October 28, 2025
This demonstration addresses a key open challenge in Open Radio Access Network (O-RAN) deployments: how to intelligently allocate Transport Network (TN) resources to ensure low-latency for mission-critical applications. The demo emulates a Smart Factory scenario where the time-se...
Optimizing Energy Efficiency in Agricultural Spraying Drones Through Fractional-Order PID Controllers and Genetic Algorithm
Costa, Heictor Alves de Oliveira and Von Zuben, Fernando J.
November 27, 2025
The viability of precision agriculture in family farming is intrinsically linked to the operational and energy efficiency of equipment, especially when relying on on-site renewable sources like photovoltaic panels. This paper addresses the challenge of maximizing the energy efficiency...
Two-Stage Deep Q Learning Routing in Entanglement Networks
de Abreu, Diego
July 3, 2025
Efficient routing in entanglement distribution networks is a challenging task that requires the coordinated allocation of quantum memories, repeaters, and quantum operations such as entanglement swapping and distillation across dynamic network conditions. In this paper, we present a Deep Q...
Zero-Lag Smart Pipes for Smart Factories: AI-Driven Programmable Transport in Open RAN
Coelho Rocha, Flávio Geraldo
October 29, 2025
This demonstration addresses a key open challenge in Open Radio Access Network (O-RAN) deployments: how to intelligently allocate Transport Network (TN) resources to ensure low-latency for mission-critical applications. The demo emulates a Smart Factory scenario where the time-sensitive control traf...
Wmediumd for 802.15.4: Bridging the Gap Between Simulation and Physical Testbeds
Reis Fontes, Ramon dos
October 30, 2025
Realistic emulation of wireless communication is essential for the development and validation of protocols in lowpowernetworks. While tools like Wmediumd provide accurate medium emulation for IEEE 802.11, no equivalent exists for IEEE802.15.4, an important standard underlying protocols suc...
P4Timely: Evaluating Time Synchronization Resilience in Programmable Networks
Brito da Silva, Sérgio Rossi
June 27, 2025
Accurate time synchronization is essential for emerging networked applications that demand low latency, high precision, and coordinated operations, such as those found in data centers, time-sensitive networking (TSN), and distributed systems. In this demo, we introduce P4Timely, a flexible and progr...
Context-Aware IoT Smart Hub: A Semantic and Cognitive Architecture for Adaptive Internet of Robotic Things Environments
Canhamina Quissanga, Tarcio Augusto, Bolivar Huayhua, Ervin Alain, Oliveira Mota, Felipe Augusto, and Rohmer, Eric
October 15, 2025
This paper presents the IoT Smart Hub, a local, modular infrastructure designed to enhance adaptive interoperability, semantic context perception, and action validation in Internet of Robotic Things (IoRT) ecosystems. A new M2M2PA (Machine-to Machine to-Perception-and- Actuation) para...
Harnessing P4 for In-Network Unmanned Aerial Vehicle Collision Avoidance
Rodriguez Cesen, Fabricio Eduardo, Vogt, Francisco, Caggiani Luizelli, Marcelo, Esteve Rothenberg, Christian, and Szabó, Géza
July 21, 2025
With the advent of next-generation networks, new applications across multiple domains are gaining traction. This shift demands a redefined network paradigm, where ultrareliable, low-latency communication is key. In this work, we explore and extend the concept of in-network programmability in new dir...
From Utensil Grasping to Food Transfer: A Learning-Based Framework for Robotic Feeding
Cesar, Bastos da Silva, Maria Fernanda, Paulino Gomes, Vitor Rodrigues, Zanata da Silva, and Eric, Rohmer
June 30, 2025
Feeding assistance is a fundamental challenge in assistive robotics, requiring robust perception, adaptive motion control, and safe human–robot interaction. This paper presents a preliminary framework for autonomous robotic feeding, structured into three modules: utensil gr...
Modeling Drone Deliveries Using Petri Nets: An Evaluation on Collision Recovery and Energy Efficiency
Leonel, Feitosa, Vandirleya, Barbosa, Luis Guilherme, Silva, et al.
October 8, 2025
The growing adoption of drones for goods delivery has emerged as a potentially viable solution. By operating through aerial routes, drones significantly reduce delivery times and expand operational reach. However, covering large areas requires prolonged flights, leading to high b...
Mobile 360° Video QoE: Measurement, Emulation, and GAN-Driven Throughput Synthesis
Ul Mustafa, Raza, Md, Tariqul Islam, Dupart, Roi, Noman, Ashraf, and Esteve Rothenberg, Christian
December 5, 2025
The increasing demand for mobile 360-degree video streaming drives the need for highly immersive and smooth user experiences. However, maintaining a smooth Quality of Experience (QoE) for 360-degree video is challenging due to strict network requirements, particularly on variable mobile networks. Th...
Hybrid Offline-Online UAV Optimal Path Planning and Outbreak Dynamic Autonomous Behavior
Costa, Heictor Alves de Oliveira and Von Zuben, Fernando J.
October 27, 2025
This paper presents a novel hybrid path planning framework designed for autonomous Unmanned Aerial Vehicles (UAVs) operating in dynamic and uncertain environments. The proposed approach integrates an Offline Phase that leverages a Genetic Algorithm (GA) to o...
CRC4EVER: Cyclic Redundancy Check for Enhanced Verification and Efficient Routing
Scherrer Borges, Everson, Rodriguez Cesen, Fabricio Eduardo, Silva Guimarães, Rafael, et al.
September 10, 2025
This demonstration introduces Cyclic Redundancy Check for Enhanced Verification and Efficient Routing (CRC4EVER). We propose how the Residue Number System (RNS) --- a number system that employs a shared secret scheme distributed across network nodes (nodeIDs)--- can enable lightweight forwarding and...
Lightweight LLMs for 3GPP Specifications: Fine-Tuning, Retrieval-Augmented Generation and Quantization
Passos Lopes Júnior, JOSÉ DE ARIMATÉIA, Pereira, Jayr, Carmo, Diedre, Lotufo, Roberto, and Esteve Rothenberg, Christian
July 21, 2025
Interpreting complex 3GPP telecommunications standards for question and answering (QA) poses a challenge for general-purpose LLMs due to their specialized terminology and high computational demands, limiting their use in resource- constrained environments. This work explores an e...
Bridging TSN and 5G: Synchronization and Flow Mapping for Smart Manufacturing
Brito da Silva, Sérgio Rossi, Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, et al.
July 21, 2025
Abstract—The increasing demand for real-time industrial applications demands deterministic communication across networked devices. Time-sensitive networking (TSN) offers reliable performance to meet these requirements, compatible with the current Real-Time Ethernet (RTE) solutions applied in t...
DEMO: The GhostTwin: Towards Live Digital Twins via SmartNIC Network Emulation
Vogt, Francisco, Victor Hugo Schneider Lopes, Rodriguez Cesen, Fabricio Eduardo, et al.
September 8, 2025
Network Digital Twin (NDT) technology enables the replication of entire network infrastructures into fully synchronized digital replicas. This capability is especially timely for the safe integration of AI into critical networks, where model correctness and reliability are essential. In this work, w...
DEMO: SmartNet: Bridging Performance and Realism in Network Emulation with SmartNICs
Vogt, Francisco, Victor Hugo Schneider Lopes, Rodriguez Cesen, Fabricio Eduardo, et al.
September 8, 2025
Network emulators are essential for testing and validating new networking solutions before deployment. In this work, we present SmartNet, a new hardware-based emulation framework that brings SmartNIC awareness to network experimentation. SmartNet enables realistic and scalable evaluation of offloadi...
POSTER: FlexUP: Breaking Up the CU-UP to Speed Up the RAN
Vogt, Francisco, Victor Hugo Schneider Lopes, Caggiani Luizelli, Marcelo, et al.
September 8, 2025
The Centralized Unit User Plane (CU-UP) in 5G networks works as an aggregation point of the RAN, facing increasing performance demands yet commonly limited by general-purpose processors. In this work, we present FlexUP, an architecture that offloads CU-UP functions to programmable switches and Smart...
P4DMA: Unlocking High-Performance RDMA Traffic Generation on Programmable Switches
Gabert Costa, Filipo, Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, et al.
July 23, 2025
Remote Direct Memory Access (RDMA) is a key technology in modern data centers, enabling low-latency and high-throughput communication. However, evaluating RDMA performance and validating network designs often requires costly hardware setups or simulation tools with limited performance and realism. I...
The Offloading Dilemma: Exploring the Boundaries of Programmable Data Planes
Vogt, Francisco, Caggiani Luizelli, Marcelo, and Esteve Rothenberg, Christian
July 21, 2025
In-Network Computing (INC) is transforming how we design and evaluate modern networks by enabling programmable data planes to execute computational tasks at line rate. However, deciding which functions to offload, to which device and using which strategy is not a trivial task. This PhD project explo...
An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing
Rodriguez Cesen, Mauricio, Góes de Castro, Ariel, Ramon, Fontes, Rodriguez Cesen, Fabricio Eduardo, and Esteve Rothenberg, Christian
September 8, 2025
As drones and autonomous vehicles become integral to smart city infrastructures, there is a growing need for tools that can accurately evaluate their behavior under realistic communication and mobility conditions. Existing frameworks often lack support for scalable scenarios, realistic wireless emul...
Assessing QoE in Edge-Delivered Holographic Streaming with a Programmable Hardware Testbed
Teixeira da Silva, Alan, Rodriguez Cesen, Fabricio Eduardo, Islam, Md Tariqul, et al.
July 21, 2025
Holographic-type communication demands multi-Gbps throughput and ultra-low latency, posing significant challenges to current 5G networks. This demo work presents a programmable testbed built on the P7 network emulator, which overcomes the throughput constraints of conventional platforms. Our demonst...
Exploring Neuromorphic Paradigms in Softwarized Networks: A Preliminary Study
J Simas, Arthur and Esteve Rothenberg, Christian
June 23, 2025
Nature has perfected efficient ways to process information—like how our brains quickly recognize faces or learn new skills using minimal energy. Neuromorphic computing is a biologically inspired computing paradigm that mimics the brain’s neural architecture to achieve...
eSeMeshA: eBPF-based Service Mesh Acceleration for Cloud-Native Infrastructures
J Simas, Arthur, Esteve Rothenberg, Christian, and Pongracz, Gergely
June 23, 2025
Service meshes are indispensable for enabling advanced communication features in cloud-native infrastructures. Though, due to the tight coupling of service meshes with the data path, they introduce significant overheads, resulting in degraded networking performance, including inc...
Entregas Aéreas por Drones: Uma Avaliação de Desempenho Considerando Colisões dos drones e Logística de Reparo
Feitosa Correia, Leonel, Barbosa, Vandirleya, Bittencourt, Luiz Fernando, et al.
June 4, 2025
A crescente adoção de drones para entrega de mercadorias tem se apresentado como uma solução potencialmente viável. Ao operarem pelo ar, os drones reduzem o tempo de entrega e ampliam o alcance das operações. No entanto, para cobrir grandes áre...
Rede Generativa Adversarial Quântica Semi-Supervisionada (sQGAN) para Detecção de Ataques
de Abreu, Diego, Moura, David, Esteve Rothenberg, Christian, and Gomes Abelem, Antonio Jorge
May 19, 2025
A evolução das ameaças cibernéticas exige sistemas de detecção de ataques eficientes e precisos, mas a escassez de dados rotulados limita o uso de modelos supervisionados convencionais. Este artigo propõe a Rede Generativa Adversarial Quântica S...
DCTPQ: Dynamic Cloud Gaming Traffic Prioritization Using Machine Learning and Multi-Queueing for QoE Enhancement
shirmarz, alireza, de França Marques, Carlos Henrique, Verdi, Fabio, et al.
May 19, 2025
Cloud gaming (CG) traffic requires high bandwidth and low latency to ensure Quality of Experience (QoE). We propose DCTPQ, an ML-based edge solution that dynamically identifies and prioritizes CG traffic on-the-fly, achieving 97.6% classification accuracy using packet-based and RTP frame-based featu...
Ambiente Programável para Transmissão e Análise de Qualidade de Experiência de Vídeo Volumétrico
Teixeira da Silva, Alan, Rodriguez Cesen, Fabricio Eduardo, Clerici, Rafael, et al.
May 19, 2025
A expansão das redes 5G e o crescimento do tráfego de dados impulsionaram o desenvolvimento de aplicações inovadoras, particularmente as Comunicações do Tipo Holográfico (HTC), que está pavimentando o caminho para redes 6G. Este trabalho aprese...
Implementação e avaliação da cifra de fluxo Xote em plano de dados de hardware programável Tofino
Pierini, Rodrigo, Teixeira, Caio, Esteve Rothenberg, Christian, and Amaral Henriques, Marco Aurélio
May 19, 2025
Este trabalho introduz uma técnica de reordenação de elementos aplicada no interpretador de pacotes da arquitetura Intel Tofino, viabilizando a implementação inédita do algoritmo Xote em plano de dados programáveis, e apresenta uma anál...
UNetyEmu: Unity-based simulator for aerial and non-aerial vehicles with integrated network emulation
Rodriguez Cesen, Mauricio, Góes de Castro, Ariel, Santana, Ibini, et al.
May 21, 2025
This work presents UNetyEmu as a novel framework that enables realistic multi-vehicle experiments with aerial and non-aerial mobility alongside network emulation. By integrating Unity’s 3D simulation and Mininet-WiFi’s real-time network emulation, UNetyEmu allows researchers to conduct s...
Demonstrating the Advantages of Computational Offloading of XR Services via WebAssembly
Espindola, Gabriel, Pires, Matheus, Spadotto, Gustavo, et al.
June 2, 2025
Extended reality (XR) services form the basis of various innovative applications. These new applications are expected to run on mobile devices with limited computational and energy capabilities. At the same time, XR services should fulfill some expectations regarding data rates and end-to-end latenc...
Investigating the Impact of Channel Metrics in 5G NSA and SA on Video Streaming QoE
Mustafa, Raza UI, Islam, Md Tariqul, and Esteve Rothenberg, Christian
June 2, 2025
Evaluating the Quality of Experience (QoE) for over-the-top (OTT) video streaming is crucial due to increasing video traffic demands for delivering satisfactory user experiences. This work presents and evaluates a rich dataset capturing real-world 5G network performance and its impact on YouTube vid...
Programmable Network Testbed for QoS/QoE Assessment of Holographic Media Delivery
Teixeira da Silva, Alan, Esteve Rothenberg, Christian, MD Islam, Tariqul, Rodriguez Cesen, Fabricio Eduardo, and Clerici, Rafael
April 29, 2025
Transmitting holographic media is one of the driving applications in the field of immersive media, demanding moving beyond 5G capabilities. The effective delivery of Holographic-Type Communications (HTC) presents challenging network and computational requirements to meet the end user...
Edge4Drone: Managing Landings and Takeoffs in High-Density Distribution Centers
de Paula Soares, Lucas, Kamienski, Carlos, Martins Campos de Oliveira, Fabíola, and Bittencourt, Luiz Fernando
April 19, 2025
Managing high-density drone landings and takeoffs in urban aerial delivery systems is a challenging, time-critical operation. To bridge existing gaps, we propose and classify eight edge-based solutions and evaluate their performance through high-density airspace simulations encompassing all flight p...
A Multi-agent Approach to Self-Distributing Systems
Costa, Bernardo, Silva, Heitor Henrique da Silva, Schiaffino Morales, Analúcia, et al.
April 9, 2025
As the computing continuum increasingly becomes the default deployment infrastructure for modern systems, the demand for a programming model capable of meeting the requirements for developing software systems on such infrastructures also grows. This model must provide abstractions to manage the high...
Network Emulation with P7: A P4 Programmable Patch Panel on Tofino-based Hardware
Rodriguez Cesen, Fabricio Eduardo, Vogt, Francisco, Góes de Castro, Ariel, Schwarz, Marcos, and Esteve Rothenberg, Christian
February 25, 2025
The use of virtual and software-based environments, such as Mininet, has become popular for network experimentation. However, these platforms often have limitations, including low transmission speeds and trade-offs between scalability and performance fidelity. Advances in P4 programmability and new ...
P4Timely: Evaluating Time Synchronization Resilience in Programmable Networks
Brito da Silva, Sérgio Rossi, Vogt, Francisco, Caggiani Luizelli, Marcelo, et al.
June 23, 2025
Accurate time synchronization is essential for emerging networked applications that demand low latency, high precision, and coordinated operations, such as those found in data centers, time-sensitive networking (TSN), and distributed systems. In this demo, we introduce P4Timely, ...
CGSynth: Cloud Gaming Synthesizer
shirmarz, alireza, Góes de Castro, Ariel, Victor Hugo Schneider Lopes, et al.
September 8, 2025
Cloud gaming’s unique network traffic is challenging to reproduce for research. This demo introduces Cloud Gaming Synthe-sizer (CGSynth), a platform that generates realistic, configurable synthetic cloud gaming (CG) traffic. CGSynth captures real CGpatterns and allows their synthetic reproduct...
In-Network AR/CG Traffic Classification Entirely Deployed in the Programmable Data Plane: Unlocking RTP Features and L4S Integration
shirmarz, alireza, de Nuzzi Bragatto, Mateus, Verdi, Fabio, et al.
June 26, 2025
This paper presents an in-network machine learning (ML) approach for classifying Augmented Reality (AR) and Cloud Gaming (CG) traffic using programmable hardware. Random Forest (RF) models are deployed in a P41 data plane capable of processing Real-time Transport Protocol (RTP) traffic features like...
DECOMPOSER: Functional decomposition and distributed execution of monolithic applications to heterogeneous resources
Matos, Guilherme, Verdi, Fabio, Dias da Silva, Washington Rodrigo, and Williams, Andrew
February 1, 2025
In current computing processing infrastructures, optimizing performance and energy efficiency across heterogeneous hardware environments remains a critical challenge. Recently, the growth of different types of hardware architectures has raised challenges but also opportunities. In this paper, we pre...
Towards a Decentralized and Privacy-Preserving Quality of Experience System for 6G Networks
Dutra Garcia, Rodrigo
Distributed Ledger Technologies: Research and Practice
October 17, 2025
The transition to 6G networks is expected to support a broader range of user-centric applications. As these applicationsexpand, Quality of Experience (QoE) has emerged as a key metric for evaluating user satisfaction. However, the use ofcentralized systems lacks transparency and limits users’ ...
A survey of privacy-preserving mechanisms on quality of experience in next-generation networks
Dutra Garcia, Rodrigo, Ramachandran, Gowri Sankar, Esteve Rothenberg, Christian, Krishnamachari, Bhaskar, and Ueyama, Jo
Computer Networks
November 26, 2025
Quality of Experience (QoE) and privacy protection are central concerns in modern network technologies, especially with the rise of user-centric applications in Beyond 5G (B5G) and emerging 6G networks. However, as the number of connected devices and the volume of exchanged data incre...
A two-stage Q-learning routing approach for quantum entanglement networks
Abreu, Diego, Pimentel, Arthur, Moura, David, Esteve Rothenberg, Christian, and Gomes Abelem, Antonio Jorge
April 22, 2025
The emerging field of quantum internet offers multiple applications, enabling quantum communication across diverse networks. However, the current entanglement networks exhibit complex processes, characterized by variable entanglement generation rates, limited quantum memory capacity, and susceptibil...
Redes Quânticas Sob Ataque: Black Hole Repeaters
Smith, Artur, de Abreu, Diego, Pimentel, Arthur, and Gomes Abelem, Antonio Jorge
Anais do II Workshop de Redes Quânticas (WQuNets 2025)
May 19, 2025
As redes quânticas oferecem uma segurança sem precedentes ao utilizarem protocolos baseados em entrelaçamento e repetidores quânticos confiáveis para viabilizar aplicações como distribuição de chaves quânticas e computaç&atild...
Estratégia de Agendamento de Purificação Híbrida para Redes Quânticas de Canais Ruidosos Heterogêneos
de Abreu, Diego, Tavares, David, Moraes, Polyana, Pimentel, Arthur, and Gomes Abelem, Antonio Jorge
Anais do II Workshop de Redes Quânticas (WQuNets 2025)
May 19, 2025
A evolução da Internet Quântica depende da geração eficiente e purificação de pares entrelaçados (EPR) em canais quânticos ruidosos e heterogêneos. No entanto, diversos desafios surgem nesse contexto, como (1) estimar o número...
Ataques de Repetidores em Redes de Entrelaçamento Quântico
Negrão Smith, Arthur, de Abreu, Diego, and Gomes Abelem, Antonio Jorge
Anais do II Workshop de Redes Quânticas (WQuNets 2025)
May 19, 2025
As redes de entrelaçamento quântico representam tecnologias de ponta com aplicações críticas em comunicação segura. No entanto, sua dependência da confiança incondicional nos repetidores quânticos introduz vulnerabilidades potenciais...
Proposta de Open RAN Seguras Através de Distribuição de Chaves Quânticas Criptográficas em Redes QKDs Definidas Por Software
Farias, Fernando, de Abreu, Diego, and Gomes Abelem, Antonio Jorge
Anais do II Workshop de Redes Quânticas (WQuNets 2025)
May 19, 2025
Este artigo propõe a integração entre a arquitetura Open RAN e redes de distribuição de chaves quânticas (QKD) definidas por software, visando aprimorar a segurança na troca de chaves criptográficas. A iniciativa introduz uma camada de servi&cce...
An update on the MECA cognitive architecture
Borelli, José Renato and Gudwin, Ricardo
JOURNAL OF NINGBO UNIVERSITY ( NSEE )
March 10, 2025
Abstract: The Multipurpose Enhanced Cognitive Architecture (MECA) is a cognitive framework designed to model complex, human-like processes across multiple domains. Originally focusing on implementing a Dual Process Theory approach and integrating a machine consciousness mechanism based on Globa...
TFTG: Time Fidelity Traffic Generation through P4/Tofino Programmable Hardware
Vogt, Francisco, Brito da Silva, Sérgio Rossi, Rodriguez Cesen, Fabricio Eduardo, et al.
IEEE Network
March 14, 2025
Ensuring bounded end-to-end latency and high reliability is essential for time-critical services, motivating the development of TSN and DetNet protocols to guarantee predictable and reliable network performance. Testing the performance of IEEE and IETF standards can be challenging due to the cost of...
Video Streaming QoE Meets Programmable Data Planes: In-Network QoE Management
Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, Góes de Castro, Ariel, et al.
IEEE Network
March 1, 2025
Recent advancements in video streaming technologies have brought about a new era of user experiences, including gaming and online events. However, ensuring a good user experience remains a significant challenge. The pursuit of self-driving networks has increased the demand for intelligent, edge-base...
Perspectives on 6G in Brazil: A SMARTNESS View
Esteve Rothenberg, Christian
April 1, 2025
This work contributes with a glimpse of 6G initiatives in Brazil by presenting perspectives that range from 5G-centric initiatives to 6G-native research endeavors. An overview of the main funding forces and relevant active projects are followed by a closer look at the recently started 10-y...
Content Steering: Leveraging the Computing Continuum to Support Adaptive Video Streaming
Rodrigues Filho, Roberto, Gamas, Eduardo, Miranda Assis, Marcio, et al.
May 20, 2024
Video streaming has become one of the most used Internet applications nowadays, withnumerous leading technology companies competing for dominance in a market valued inthe billions. The delivery of high-quality streaming services requires strategic utilizationof computing resources near end-users. Em...
SmartNICs: The Next Leap in Networking
Caggiani Luizelli, Marcelo, Vogt, Francisco, Mendes Vieira de Matos, Guilherme, et al.
May 1, 2024
Programmable Network Interface Cards (SmartNICs) have gained increasing momentumdue to their flexibility to offload complex networking tasks from the host CPU to a pro-grammable hardware architecture. Despite the performance gains (e.g., lower latency),programming, debugging, and operating SmartNICs...
Innovative Approaches for Network Analysis and Optimization: Leveraging Deep Learning and Programmable Hardware
Góes de Castro, Ariel and Esteve Rothenberg, Christian
July 10, 2024
Network demand for real-time applications like self-driving cars and cloud gaming strains existing networks. Latency and congestion hurt user experience. Realistic testing is vital to improving networks, but real-world data is scarce. In this context, we propose to analyze existing network data and ...
O Impacto do Atraso de Comunicação nos Algoritmos Anticolisão de Drones
Ferreira, Arthur A., Oliveira, Fabíola M. C., Bittencourt, Luiz Fernando, and Kamienski, Carlos
May 1, 2024
Drones são alternativas plausíveis para o problemático e complexo fluxo de transporte em áreas urbanas. À medida em que as empresas adotam essa modalidade de entrega, o número de problemas operacionais aumenta, sendo necessários o desenvolvimento e a impleme...
Rede Granular Convolucional Evolutiva para Classificação de Fluxo de Imagens
Abreu Fortunato, Danielle, Ferreira, Silvia C., Ferraz, Patricia, Santos, Rafael A., and Leite, Daniel F.
October 1, 2024
Os recentes avanços em aprendizado de máquina para visão computacional e classificação de imagens têm apresentado desafios importantes, como a interpretabilidade de modelos de redes neurais profundas e a capacidade de aprendizado contínuo em ambientes ...
Computação na Borda para Drones: Gerenciando Pousos e Decolagens em Centros de Distribuição
de Paula Soares, Lucas, de Oliveira, Fabíola M. C., Kamienski, Carlos, and Bittencourt, Luiz Fernando
May 20, 2024
Estratégias anticolisões entre drones existentes concentram-se principalmente no voo em cruzeiro em cenários com número limitado de drones, negligenciando o gerenciamento do pouso e decolagem em grandes centros de distribuição, onde há uma grande dens...
Uma avaliação empírica sobre o uso de WebAssembly para descarga de funções de realidade aumentada.
Pires, Matheus, Nery Espindola, Gabriel, CHAVES RODRIGUES, KARLLA, et al.
May 20, 2024
A crescente demanda por aplicações de realidade aumentada, culminou no desenvolvimento de algoritmos de alto desempenho, porém com alta demanda computacional. Dessa forma, é urgente a necessidade de se levar esse tipo de aplicação para os ambientes populares...
QML-IDS: Quantum Machine Learning Intrusion Detection System
Abreu, Diego, Esteve Rothenberg, Christian, and Gomes Abelem, Antonio Jorge
June 1, 2024
The emergence of quantum computing and related technologies presents opportunities for enhancing network security. The transition towards quantum computational power paves the way for creating strategies to mitigate the constantly advancing threats to network integrity. In response to this technolog...
Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures
Meletti Rappa, Frederico, Rodrigues Filho, Roberto, Panisson, Alison R., Soriano Marcolino, Leandro, and Bittencourt, Luiz Fernando
May 1, 2024
The investigation of stateful service mobility across networking infrastructures is becoming increasingly important as applications require stateful services capable of migrating from centralized cloud data centers to edge computing infrastructures. State-of-the-art approaches propose either machine...
Enabling Adaptive Video Streaming via Content Steering on the Edge-Cloud Continuum
Eduardo S., Gama, Rodrigues Filho, Roberto, Immich, Roger, and Bittencourt, Luiz Fernando
May 1, 2024
One key challenge in Adaptive Video Streaming is the ever-changing edge network conditions at the last mile of access networks. The edge environment is particularly dynamic, influenced by user locations, fluctuation in resource demands and resource capabilities, in contrast to traditional Content De...
PINT-BoX: Path-aware networking IN a Tofino BoX
Scherrer Borges, Everson, Borges Coelho, Willen, Rodriguez Cesen, Fabricio Eduardo, et al.
November 1, 2024
This demonstration showcases PINT-BoX, a Path-Aware Networking using the PolKA source routing approach, in combination with the P7 emulation experimentation tool built on a Tofino box. It is designed for experimentation on a Tofino-basedsystem, demonstrating the creation of various network topologie...
SPDM-WiD: Uma Ferramenta para Inspeção de Pacotes do Security Protocol Data Model (SPDM)
Ferreira, Thiago D., Freitas, Otavio Felipe, Alves, Renan C. A., et al.
May 20, 2024
Network protocol implementations need to be tested in conjunction with good debugging tools to ensure that packets exchange follows specifications. Although packet sniffers like Wireshark can capture any packet transiting a network interface, the absence of protocol-specific dissectors makes debuggi...
Aplicação da Técnica Fuzzing em Testes da Implementação de Referência do SPDM
Ferreira, Thiago, Alves, Renan, Albertini, Bruno, Simplicio Jr., Marcos, and Macedo Batista, Daniel
September 16, 2024
Automated tests performed during software development are capable of finding flaws early, preventing vulnerabilities ranging from denial of service to privilege escalation. In particular, these automated tests can be performed using the fuzzing technique, which coordinates the sending of unexpected ...
IoRT multi-agent for assistive homes: First Test
Oliveira Mota, Felipe Augusto, da Silva, Cesar, Bolivar Huayhua, Ervin Alain, Miranda Portela, Breno, and Rohmer, Eric
April 3, 2024
The deployment of a multi-agent solution consists of the joint action of agents in a specific environment. Agents must perceive the environment and act based on defined objectives, which determine their actions [1]. Allied with the definitions of Internet of Robotic Things (IoRT), the agents form an...
Emotive Gestural Expressions for Assistive Home Humanoid Robots: Simulation Test
Miranda Portela, Breno, da Silva, Cesar, Oliveira Mota, Felipe Augusto, Bolivar Huayhua, Ervin Alain, and Rohmer, Eric
April 3, 2024
A home assistive system, utilizing the Internet of Robotic Things, requires an interactive robot capable of autonomously understanding and engaging with the residential environment. This robot should express emotions through voice, movements, and expressions to pass a sensation that i...
Robotic Structuring of an Assistive Home: Experimental Test
da Silva, Cesar, Oliveira Mota, Felipe Augusto, Bolivar Huayhua, Ervin Alain, Miranda Portela, Breno, and Rohmer, Eric
April 3, 2024
This study aims to design an assistive living environment and implement a system capable of automatic localization, mapping, and dynamic evaluation. Agents with diverse capabilities can contribute information, fostering the creation of a collaborative map, thereby enabling distributed...
Enhancing Assistive Home Environments through IoRT Multi-Agent Interaction: Model Selection and Robotic Operations
Bolivar Huayhua, Ervin Alain, Rohmer, Eric, da Silva, Cesar, Oliveira Mota, Felipe Augusto, and Miranda Portela, Breno
April 3, 2024
The ongoing improvement in the research and development of LLM (Large Language Models) aligns fascinatingly with Mobile Robotics, presenting a promising trend in artificial intelligence. This convergence holds the potential to revolutionize assistance, especially in the care of adults...
Robotic lower limb exoskeleton: A control software
Freitas, Carlos, Ferman, Victor, and Rohmer, Eric
April 3, 2024
Robotic exoskeletons are designed to assist people with gait abnormalities in their locomotion, increase physical capabilities, or rehabilitate patients after surgery or patients suffering from various neurological disorders [1]. The system is composed of several subsystems such as el...
PIPO-TG: Parameterizable High-Performance Traffic Generation
Gabert Costa, Filipo, Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, et al.
July 2, 2024
In recent years, the increasing demand for network resources due to real-time applications and data-intensive activities has posed challenges in managing and optimizing network performance. To assess network performance, security, and efficiency, traffic generation plays a crucial role. We introduce...
Towards Time-Sensitive Networking Traffic Generation with PIPO-TG
Gabert Costa, Filipo, Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, Caggiani Luizelli, Marcelo, and Esteve Rothenberg, Christian
May 20, 2024
Realistic traffic simulation is essential for evaluating network performance, security, and efficiency. However, modern network environments demand testers with high performance, scalability, precision, flexibility, and cost-effectiveness, which current solutions struggle to achieve simultaneously. ...
DEMO: P4 Replay (P4R): Reproducing Packet Traces and Stateful Connections at Line-Rate on Your P4-capable Hardware
Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, Gabert Costa, Filipo, et al.
August 5, 2024
Network testers are essential for assessing network performance. They are used to generate and capture test packets to evaluate the network’s correctness and efficiency. However, evolving demands, such as generating realistic, high-performance workloads, pose challenges for...
eZtunnel: Leveraging eBPF to Transparently Offload Service Mesh Data Plane Networking
J Simas, Arthur, Rodriguez Cesen, Fabricio Eduardo, and Esteve Rothenberg, Christian
December 1, 2024
Cloud-native applications, characterized by scalability, resilience, and flexibility, adopt microservices architectures to decompose applications into smaller, independently manageable services. Although microservices offer significant benefits, this architectural approach introduces challenges i...
QoE Evaluation for Emerging Media Applications: Network-Level Analysis and Traffic Modeling
Islam, Md Tariqul and Esteve Rothenberg, Christian
December 17, 2024
Technological advancements are driving the growing popularity of Emerging Media Applications (EMA), ranging from mobile applications to immersive services in eXtended Reality (XR). However, delivering satisfactory Quality of Experience (QoE) for EMA over 5G and beyond networks remains a relevant yet...
RESISTING: A New Fast-Reroute Mechanism with Packet Distribution on P4-Programmable Switches
De Lima, Daniel, Vogt, Francisco, Teixeira da Silva, Alan, Rodriguez Cesen, Fabricio Eduardo, and Esteve Rothenberg, Christian
December 27, 2024
Equal Cost MultiPath (ECMP) is a routing solution that optimizes bandwidth efficiency in network infrastructure by using a hash algorithm on the switch’s data plane to distribute packet flows across multiple paths. However, the hash-based approach alone does not address link failures, making t...
Desafios e oportunidades de pesquisa na adoção de criptografia pós-quântica em redes veiculares
Teixeira, Caio and Amaral Henriques, Marco Aurélio
September 16, 2024
Vehicular networks enable various important applications, such as autonomous driving and traffic accident prevention, which demand a high level of communication security. However, to communicate securely, these networks rely on cryptographic algorithms vulnerable to attacks from futu...
MATADOR: ML-based Cloud Gaming Traffic Detection entirely in Programmable Hardware
Singh, Suneet Kumar, Esteve Rothenberg, Christian, shirmarz, alireza, et al.
December 27, 2024
Cloud gaming (CG) is gaining increasing interest as a new approach to delivering high-quality gaming anywhere, anytime, and on diverse devices. To improve the gaming experience, CG traffic needs to be monitored and prioritized to avoid high latency and jitter. Recent attempts to classify CG traffic ...
From Pixels to Packets: Traffic Classification of Augmented Reality and Cloud Gaming
shirmarz, alireza, Verdi, Fabio, Singh, Suneet Kumar, and Esteve Rothenberg, Christian
July 10, 2024
Augmented Reality (AR) real-time interaction between users and digital overlays in the real world demands low latency to ensure seamless experiences. To address computational and battery constraints, AR devices often offload processing-intensive tasks to edge servers, enhancing performance and user ...
YouTube goes 5G: QoE Benchmarking and ML-based Stall Prediction
Esteve Rothenberg, Christian, Mustafa, Raza Ul, and Barakat, Chadi
July 3, 2024
Given the dominance of adaptive video streaming services on the Internet traffic, understanding how YouTube Quality of Experience (QoE) relates to real 4G and 5G Channel Level Metrics (CLM) is of interest to not only the research community but also to Mobile Network Operators (MNOs) and content crea...
Delivering Augmented Reality to the Edge: An Approach Toward Object Recognition through the In-Network Computing Paradigm
Dias da Silva, Washington Rodrigo, Verdi, Fabio, Matos, Guilherme, and Williams, Andrew
December 9, 2024
Recent advancements in 5G technology have enabled significant breakthroughs in applications requiring high data throughput and low latency, such as Mobile Augmented Reality (MAR). Nevertheless, mobile devices tend to be computationally and energy-constrained, limiting their capability to provide syn...
Unlocking Security to the Board: An Evaluation of SmartNIC-driven TLS Acceleration with kTLS
Novais, Felipe Aparecido dos Santos and Verdi, Fabio
May 6, 2024
This work delves into the vital role of TLS (Transport Layer Security) in securing web applications today. We explore kTLS (Kernel TLS) offloading as a possible solution to alleviate resource strain such as CPU time, power consumption, and network speed. By shifting cryptographic tasks closer to the...
Implementação e avaliação da cifra de fluxo Forro14 em hardware programável Tofino usando a linguagem P4
de Andrade Pierini, Rodrigo Alexander, Teixeira, Caio, Esteve Rothenberg, Christian, and Amaral Henriques, Marco Aurélio
September 16, 2024
The software-defined networking (SDN) paradigm has enabled several innovations in computer networking, especially in programmable packet processing. This paper investigated the feasibility and impact on computing resources of the Forro14 stream cipher algorithm in the Tofino programmable&n...
DECOMPOSER: Functional Decomposition of Monolithic Applications to Heterogeneous Resources in Disaggregated Environments
Guilherme, Mendes Vieira de Matos, Washington, Rodrigo Dias da Slva, Fábio, Luciano Verdi, and Andrew, Williams
December 8, 2024
This paper analyzes the performance of disaggregating monolithic applications across heterogeneous hardware. A monolithic program with convolution functions was tested on AMD, Intel servers, and a BlueField-2 DPU (ARM). After disaggregation into independent processes, it was run on the same server a...
Remote Surgery with 5G or 6G: Knowledge Production and Diffusion Globally and in the German Case
Martinelli, Marina and Mazoni, Alysson
April 19, 2024
This paper is a comprehensive exploring of technology capability in 5G/6G TIS, explicitly focusing on the potential of remote surgery globally and in Germany. The paper's main contribution is its ability to anticipate new debates on the interplay between TIS and contexts, with particular emphasis on...
qIDS: Sistema de Detecção de Ataques baseado em Aprendizado de Máquina Quântico Híbrido
Esteve Rothenberg, Christian, Oliveira Abreu, Diego, and Gomes Abelem, Antonio Jorge
May 20, 2024
A ascensão da utilidade quântica no campo da computação quântica apresenta não apenas desafios, mas também oportunidades para aprimorar a segurança de redes. Esta mudança de paradigma nas capacidades computacionais permite o desenvolviment...
Strategic connectivity in 5G and 6G and remote surgery: The case of Germany
Martinelli, Marina, Leite Francisco da Costa, Luis Antonio, Mazoni, Alysson, Sanches, Juliano Luís Pereira, and Kunst, Rafael
Research Society and Development
July 30, 2024
This article addresses the topic of 5G and 6G as a Technological Innovation System (TIS) along with the industrial application of Remote Surgery as an empirical case, exploring three main contributions. Firstly, this research contributes to the connection of the Technological Innovation Systems pers...
Development and Design of an Innovative Smart Exoskeleton-Crutch System
Ferman, Victor, Oliveira Mota, Felipe Augusto, da Silva, Cesar, and Rohmer, Eric
November 20, 2023
This paper presents the development of the DEXO-1, a novel lower limb exoskeleton designed to assist gait and rehabilitation of the musculoskeletal system. The exoskeleton provides six degrees of freedom for each leg. This includes four active degrees of freedom at the hip and knee joints,...
INVESTIGAÇÃO ACERCA DE IDOSOS PARA DESENVOLVIMENTO DE UMA SOLUÇÃO DE CASA INTELIGENTE ASSISTIVA BASEDA EM IORT
Oliveira Mota, Felipe Augusto, da Silva, Cesar, Ferman, Victor, and Rohmer, Eric
November 20, 2023
This work proposes to investigate, bibliographically, the habits and adversities of the elderly in their homes, to understand the challenges for the use of assistive technology (AT) based on IoRT and, finally, to prospect requirements to help in the organization of a solution.
EKF-SLAM BASEADO EM LANDMARKS NATURAIS E ARTIFICIAIS A SER APLICADO EM UMA CADEIRA DE RODAS INTELIGENTE
da Silva, Cesar, Oliveira Mota, Felipe Augusto, Ferman, Victor, and Rohmer, Eric
November 20, 2023
Nowadays, there is a clear increase in the number of people who have functional difficulties, which impairs their dignity, comfort, and health daily. In this way, research centers have focused on the development of assistive technologies to minimize the impact imposed by physical limitations. A...
Towards Multiple Pipelines Network Emulation with P7
Rodriguez Cesen, Fabricio Eduardo, Vogt, Francisco, Góes de Castro, Ariel, and Esteve Rothenberg, Christian
July 13, 2023
Network emulation traditionally relies on software-based solutions. While extremely useful in many scenarios, it suffers from performance fidelity and inherent scalability constraints. With the advent of P4 and programmable switches like Tofino, new opportunities for hardware-based network emulation...
Taking Detours: An In-Network Fault-Tolerant Probing Planning for In-Band Network Telemetry
Góes de Castro, Ariel, Ferrazza Capeletti, Ígor, Rossi, Fábio, et al.
October 23, 2023
In-band Network Telemetry (INT) is a novel network monitoring approach mainly fostered by programmable network devices. Despite existing efforts toward the orchestration of INT, little has yet been done to provide fault-tolerant mechanisms in the data plane (e.g., to address hard...
Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane
Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, Góes de Castro, Ariel, et al.
July 13, 2023
Recent advances in virtual reality (VR) technology have created new user experiences (e.g., online events, gaming). However, ensuring the user experience is still a challenge. Mostly because Quality of Experience (QoE) measurement is limited to the user or control plane, causing ...
QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane
Vogt, Francisco, Rodriguez Cesen, Fabricio Eduardo, Góes de Castro, Ariel, et al.
July 13, 2023
In recent years, advances in virtual reality (VR) technologies (e.g., high-quality VR headsets) have enabled a new perspective of experiences for users (e.g., gaming, online events). However, ensuring the user experience is still a challenge. Existing solutions are limited to measuring and estimatin...
Predicting XR Services QoE with ML: Insights from In-band Encrypted QoS Features in 360-VR
Islam, Md Tariqul, Esteve Rothenberg, Christian, and Gomes, Pedro Henrique
July 13, 2023
The growing popularity of eXtended Reality (XR) is being driven by technological advancements and the demand for advanced immersive digital experiences, including the vision around the metaverse. Within the XR realm, 360-degree immersive video streaming is essential for Virtual Reality (VR) adventur...
EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic
Mustafa, Raza Ul, Islam, Md Tariqul, and Esteve Rothenberg, Christian
June 21, 2023
The exponential increase in Dynamic Adaptive Streaming over HTTP (DASH) based video traffic with end-to-end encryption poses many challenges for Mobile Network Operators (MNOs). To improve user-perceived video quality, MNOs must be aware of the end user’s Quality of Experience (QoE) by explori...
Offloading Robotic and UAV applications to the network using programmable data planes
Rodriguez Cesen, Fabricio Eduardo and Esteve Rothenberg, Christian
December 4, 2023
Next-generation 5G networks are rapidly expanding to support the growing demand for efficient connectivity in Internet of Things (IoT) and Machine-to-Machine (M2M) applications across various sectors (e.g., agriculture, automotive, healthcare, smart cities, and manufacturing). Industrial Internet...
SMARTNESS Poster
SMART NEtworks and ServiceS for 2030 (SMARTNESS)
November 29, 2023
In this poster, SMARTNESS 2030 is presented as a networking-centric Engineering Research Center (ERC) with a clear vision, scope, and aim to drive innovation in future communication networks. It outlines the duration of the initiative, key leadership roles, including the Principal Investigator/Direc...
Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions
Singh, Suneet Kumar, Esteve Rothenberg, Christian, Kassler, Andreas, et al.
IEEE Transactions on Mobile Computing
August 25, 2022
This paper focuses on hybrid pipeline designs for User Plane Function and next-generation NodeB leveraging target-specific features and an insightful discussion of P4 and target challenges and limitations. The entire or disaggregated UPF runs on P4 targets and allocates packet processing data paths ...
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