Orchestrating In-Band Data Plane Telemetry With Machine Learning. - Rumenigue Hohemberger; Ariel Góes de Castro; Francisco Germano Vogt; Rodrigo B. Mansilha; Arthur Francisco Lorenzon; Fábio D. Rossi; Marcelo Caggiani Luizelli (IEEE Commun. Lett., 2019)

Patcher: Towards Fault - Tolerant Probing Planning for In-band Network Telemetry. - Ariel Góes de Castro; Victor H. S. Lopes; Francisco Germano Vogt; Fábio D. Rossi; Arthur Francisco Lorenzon; Marcelo Caggiani Luizelli (LATINCOM, 2020)

The Actual Cost of Programmable SmartNICs: Diving into the Existing Limits. - Pablo B. Viegas; Ariel Góes de Castro; Arthur Francisco Lorenzon; Fábio Diniz Rossi; Marcelo Caggiani Luizelli (AINA (1), 2021)

Near-Optimal Probing Planning for In-Band Network Telemetry. - Ariel Góes de Castro; Arthur Francisco Lorenzon; Fábio Diniz Rossi; Roberto Irajá Tavares da Costa Filho; Fernando M. V. Ramos; Christian Esteve Rothenberg; Marcelo Caggiani Luizelli (IEEE Commun. Lett., 2021)

Towards Efficient Selective In-Band Network Telemetry Report Using SmartNICs. - Ronaldo Canofre; Ariel Góes de Castro; Arthur Francisco Lorenzon; Fábio Diniz Rossi; Marcelo Caggiani Luizelli (AINA (1), 2022)

DyPro: Dynamic Probing Planning for In-Band Network Telemetry. - Leandro M. Dallanora; Ariel Góes de Castro; Roberto Irajá Tavares da Costa Filho; Fábio D. Rossi; Arthur Francisco Lorenzon; Marcelo Caggiani Luizelli (ISCC, 2022)

P4 programmable patch panel (P7): an instant 100g emulated network on your tofino-based pizza box. - Fabricio Rodriguez; Francisco Germano Vogt; Ariel Góes de Castro; Marcos Felipe Schwarz; Christian Esteve Rothenberg (SIGCOMM Posters and Demos, 2022)

Towards Optimizing the Edge-to-Cloud Continuum Resource Allocation. - Igor Ferrazza Capeletti; Ariel Góes de Castro; Daniel Chaves Temp; Paulo Silas Severo de Souza; Arthur Francisco Lorenzon; Fábio Diniz Rossi; Marcelo Caggiani Luizelli (CLOSER, 2023)

Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds. - Daniel Chaves Temp; Igor Ferrazza Capeletti; Ariel Góes de Castro; Paulo Silas Severo de Souza; Arthur Francisco Lorenzon; Marcelo Caggiani Luizelli; Fábio Diniz Rossi (CLOSER, 2023)

Taking Detours: An In-Network Fault-Tolerant Probing Planning for In-Band Network Telemetry. - Ariel Góes de Castro; Igor Capelletti; Fábio D. Rossi; Arthur Francisco Lorenzon; Roberto Irajá Tavares da Costa Filho; Christian Esteve Rothenberg; Marcelo Caggiani Luizelli (ICC, 2023)

Towards Multiple Pipelines Network Emulation with P7. - Fabricio E. Rodriguez Cesen; Francisco Germano Vogt; Ariel Góes de Castro; Christian Esteve Rothenberg (NetSoft, 2023)

QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. - Francisco Germano Vogt; Fabricio E. Rodriguez Cesen; Ariel Góes de Castro; Marcelo Caggiani Luizelli; Christian Esteve Rothenberg; Gergely Pongrácz (NetSoft, 2023)

Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. - Francisco Germano Vogt; Fabricio E. Rodriguez Cesen; Ariel Góes de Castro; Marcelo Caggiani Luizelli; Christian Esteve Rothenberg; Gergely Pongrácz (NetSoft, 2023)

Innovative Approaches for Network Analysis and Optimization: Leveraging Deep Learning and Programmable Hardware. - Ariel Góes de Castro; Christian Esteve Rothenberg (NetSoft, 2024)

PIPO-TG: Parameterizable High-Performance Traffic Generation. - Filipo G. Costa; Francisco Germano Vogt; Fabricio E. Rodriguez Cesen; Ariel Góes de Castro; Marcelo Caggiani Luizelli; Christian Esteve Rothenberg (NOMS, 2024)

CGReplay: Capture and Replay of Cloud Gaming Traffic for QoE/QoS Assessment. - Alireza Shirmarz; Ariel Góes de Castro; Fábio L. Verdi; Christian Esteve Rothenberg (NetSoft, 2025)

Video Streaming QoE Meets Programmable Data Planes: The Case of In-Network QoE for 360°VR. - Francisco Germano Vogt; Fabricio Eduardo Rodriguez Cesen; Ariel Góes de Castro; Suneet Kumar Singh; Marcelo Caggiani Luizelli; Christian Esteve Rothenberg; Gianni Antichi (IEEE Netw., 2025)