| Texto completo | |
| Autor(es): |
Vogt, Francisco Germano
;
Lopes, Victor H. S.
;
Rodriguez, Fabricio
;
Luizelli, Marcelo Caggiani
;
Papagianni, Chrysa
;
Rothenberg, Christian
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 2025 ACM SIGCOMM 2025 POSTERS AND DEMOS, SIGCOMM 2025; v. N/A, p. 3-pg., 2025-01-01. |
| Resumo | |
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, we introduce GhostTwin, the first open-source framework for defining and operating high-fidelity NDTs in a self-contained environment. GhostTwin employs SmartNIC-based hardware emulation to realistically replicate programmable physical networks, capturing network performance metrics such as packet loss and residual bandwidth. The framework supports diverse telemetry sources, enabling scalable and accurate digital twin deployments in a programmable testbed. (AU) | |
| Processo FAPESP: | 24/16207-8 - Repensando Testadores de Redes para Próxima Geração de Redes e Aplicações 5G/6G. |
| Beneficiário: | Filipo Gabert Costa |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |
| Processo FAPESP: | 20/05183-0 - SkyNet: rumo à era dos planos de dados inteligentes |
| Beneficiário: | Luciano Paschoal Gaspary |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |