Papers › POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning
POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning
Alireza Shirmarz, Fabio Luciano Verdi, Suneet Kumar Singh, Christian Esteve Rothenberg
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In this demonstration, we showcase POSMAC1, 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.
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