| Texto completo | |
| Autor(es): |
Shirmarz, Alireza
;
Verdi, Fabio Luciano
;
Singh, Suneet Kumar
;
Rothenberg, Christian Esteve
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2024 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS, NFV-SDN 2024; v. N/A, p. 2-pg., 2024-01-01. |
| Resumo | |
In this demonstration, we showcase POSMAC(1), a platform designed to deploy Decision Tree (DT) and Random Forest (RF) models on the NVIDIA DOCA DPU, equipped with an ARM processor, for real-time network traffic classification. Developed specifically for Augmented Reality (AR) and Cloud Gaming (CG) traffic classification, POSMAC streamlines model evaluation, and generalization while optimizing throughput to closely match line rates. (AU) | |
| Processo FAPESP: | 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS) |
| Beneficiário: | Christian Rodolfo Esteve Rothenberg |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada |