English

POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning

Networking and Internet Architecture 2025-02-04 v1 Distributed, Parallel, and Cluster Computing

Abstract

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.

Cite

@article{arxiv.2502.00671,
  title  = {POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning},
  author = {Alireza Shirmarz and Fabio Luciano Verdi and Suneet Kumar Singh and Christian Esteve Rothenberg},
  journal= {arXiv preprint arXiv:2502.00671},
  year   = {2025}
}
R2 v1 2026-06-28T21:29:21.202Z