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Conference and Workshop Papers
- 2024
[c8]Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque:
Calibration and Automation of a 5G Simulator for Realistic Evaluation and Data Generation. NetSoft 2024: 341-345- 2022
- [c7]Paulo Souza, Miguel C. Neves, Carlos Henrique Kayser, Felipe Rubin, Conrado Boeira, João Moreira, Bernardo Bordin, Tiago Ferreto:
Predicting and Avoiding SLA Violations of Containerized Applications using Machine Learning and Elasticity. CLOSER 2022: 74-85 - 2021
- [c6]Conrado Boeira, Miguel C. Neves, Tiago Ferreto, Israat Haque:
Characterizing network performance of single-node large-scale container deployments. CloudNet 2021: 97-103 - 2020
- [c5]Paulo Souza, Felipe Rubin
, João Nascimento, Conrado Boeira, Ângelo Vieira, Rômulo Reis de Oliveira, Tiago Ferreto:
ISABEL: Infrastructure-Agnostic Benchmark Framework for Cloud-Native Platforms. CLOSER 2020: 482-489 - [c4]Paulo Souza, João Nascimento, Conrado Boeira, Ângelo Vieira, Felipe Rubin, Rômulo Reis de Oliveira, Fábio Diniz Rossi, Tiago Ferreto:
IRENE: Interference and High Availability Aware Microservice-based Applications Placement for Edge Computing. CLOSER 2020: 490-497 - 2018
- [c3]Gabriel Rockenbach, Conrado Boeira, Diogo Schaffer, André Antonitsch, Soraia Raupp Musse:
Simulating Crowd Evacuation: From Comfort to Panic Situations. IVA 2018: 295-300 - [c2]Diogo Schaffer, Conrado Boeira, Gabriel Rockenbach, Guilherme Maurer, André Antonitsch, Soraia Raupp Musse:
Simulating Virtual Humans Crowds in Facilities. IVA 2018: 343-344 - [c1]Diogo Schaffer, Conrado Boeira, Gabriel Rockenbach, Guilherme Maurer, André Antonitsch, Soraia Raupp Musse:
Simulating Virtual Humans Crowds in Facilities. SBGames 2018: 231-239
Informal and Other Publications
- 2024
- [i2]Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque:
A Calibrated and Automated Simulator for Innovations in 5G. CoRR abs/2404.10643 (2024) - [i1]Antor Hasan, Conrado Boeira, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque:
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer. CoRR abs/2406.15638 (2024)
Coauthor Index
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