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ORCIDAriel Góes de Castro
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- affiliation: Federal University of Pampa, Alegrete, Brazil
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2020 – today
- 2024
[c13]Ariel Góes de Castro, Christian Esteve Rothenberg:
Innovative Approaches for Network Analysis and Optimization: Leveraging Deep Learning and Programmable Hardware. NetSoft 2024: 239-242- [c12]Filipo G. Costa
, Francisco Germano Vogt, Fabricio E. Rodriguez Cesen, Ariel Góes de Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg:
PIPO-TG: Parameterizable High-Performance Traffic Generation. NOMS 2024: 1-9 - 2023
- [c11]Igor Ferrazza Capeletti, Ariel Góes de Castro, Daniel Chaves Temp, Paulo Silas Severo de Souza, Arthur Francisco Lorenzon, Fábio Diniz Rossi, Marcelo Caggiani Luizelli:
Towards Optimizing the Edge-to-Cloud Continuum Resource Allocation. CLOSER 2023: 90-99 - [c10]Daniel Chaves Temp, Igor Ferrazza Capeletti, Ariel Góes de Castro, Paulo Silas Severo de Souza, Arthur Francisco Lorenzon, Marcelo Caggiani Luizelli, Fábio Diniz Rossi:
Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds. CLOSER 2023: 297-305 - [c9]Ariel Góes de Castro, Igor Capelletti, Fábio D. Rossi, Arthur Francisco Lorenzon, Roberto Irajá Tavares da Costa Filho, Christian Esteve Rothenberg, Marcelo Caggiani Luizelli:
Taking Detours: An In-Network Fault-Tolerant Probing Planning for In-Band Network Telemetry. ICC 2023: 1934-1939 - [c8]Francisco Germano Vogt, Fabricio E. Rodriguez Cesen, Ariel Góes de Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely Pongrácz:
QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. NetSoft 2023: 267-271 - [c7]Fabricio E. Rodriguez Cesen, Francisco Germano Vogt, Ariel Góes de Castro, Christian Esteve Rothenberg:
Towards Multiple Pipelines Network Emulation with P7. NetSoft 2023: 290-292 - [c6]Francisco Germano Vogt, Fabricio E. Rodriguez Cesen, Ariel Góes de Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely Pongrácz:
Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. NetSoft 2023: 311-313 - 2022
- [c5]Ronaldo Canofre, Ariel Góes de Castro, Arthur Francisco Lorenzon, Fábio Diniz Rossi, Marcelo Caggiani Luizelli:
Towards Efficient Selective In-Band Network Telemetry Report Using SmartNICs. AINA (1) 2022: 271-284 - [c4]Leandro M. Dallanora, Ariel Góes de Castro, Roberto Irajá Tavares da Costa Filho, Fábio D. Rossi, Arthur Francisco Lorenzon, Marcelo Caggiani Luizelli:
DyPro: Dynamic Probing Planning for In-Band Network Telemetry. ISCC 2022: 1-6 - [c3]Fabricio Rodriguez, Francisco Germano Vogt, Ariel Góes de Castro, Marcos Felipe Schwarz, Christian Esteve Rothenberg:
P4 programmable patch panel (P7): an instant 100g emulated network on your tofino-based pizza box. SIGCOMM Posters and Demos 2022: 4-6 - 2021
- [j2]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:
Near-Optimal Probing Planning for In-Band Network Telemetry. IEEE Commun. Lett. 25(5): 1630-1634 (2021) - [c2]Pablo B. Viegas, Ariel Góes de Castro, Arthur Francisco Lorenzon, Fábio Diniz Rossi, Marcelo Caggiani Luizelli:
The Actual Cost of Programmable SmartNICs: Diving into the Existing Limits. AINA (1) 2021: 181-194 - 2020
- [c1]Ariel Góes de Castro, Victor H. S. Lopes, Francisco Germano Vogt, Fábio D. Rossi, Arthur Francisco Lorenzon, Marcelo Caggiani Luizelli:
Patcher: Towards Fault - Tolerant Probing Planning for In-band Network Telemetry. LATINCOM 2020: 1-6
2010 – 2019
- 2019
- [j1]Rumenigue Hohemberger, Ariel Góes de Castro, Francisco Germano Vogt, Rodrigo B. Mansilha, Arthur Francisco Lorenzon, Fábio D. Rossi, Marcelo Caggiani Luizelli:
Orchestrating In-Band Data Plane Telemetry With Machine Learning. IEEE Commun. Lett. 23(12): 2247-2251 (2019)
Coauthor Index
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