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Bibliographic Details
Main Authors:	Shirmarz, Alireza, Verdi, Fabio Luciano, Singh, Suneet Kumar, Rothenberg, Christian Esteve
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2502.00671
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Table of Contents:

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.