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Cloud Gaming (CG) & Extended Reality (XR/AR): Network Traffic Patterns & challenges in Network Management

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Ultra-Low Latency Networking ML-Based Traffic Classification QoS/QoE Optimization for CG/AR
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Seminars-1-2025 - This article is part of a series.
Part 2: This Article

Abstract #

Cloud Gaming and Augmented/Extended Reality (AR/XR) are reshaping interactive digital experiences, requiring ultra-low latency, high throughput, and reliable connectivity to deliver real-time responsiveness and immersive QoE. Their high interactivity makes them sensitive to even minor delays, often leading to motion or cybersickness. Unlike traditional applications, CG/AR traffic is dynamic, with frequently changing IPs and ports, rendering static identification methods ineffective. In this talk, we discuss the unique traffic patterns of CG and AR, why they must be prioritized for real-time services, and how ML-based traffic classification can help manage them efficiently. We also explore current QoS/QoE evaluation methods, techniques for performance improvement, and highlight open research challenges in managing CG/AR traffic over shared networks.

Bio #

Alireza Shirmarz

Alireza Shirmarz is a Postdoctoral Researcher at the Department of Computer Science at UFSCar and a member of the LERIS Lab. He received his B.Sc. in Computer Engineering from Shahed University. He earned his M.Sc. in Network Engineering from Amirkabir University (Tehran Polytechnic) and completed his Ph.D. in Computer Engineering at IAU–Tehran North Branch in 2020. His research focuses on making networks more intelligent and automated. He works with Software-Defined Networking (SDN) and uses Artificial Intelligence (AI) and Machine Learning (ML) to improve network performance. He is especially interested in programmable data and control planes. He has published more than 35 papers in international journals and conferences. He also serves as a reviewer for several well-known journals. His current interests include traffic classification, Quality of Service (QoS), Quality of Experience (QoE), Active Queue Management (AQM), and network automation using ML.

Contact #

E-mail: ashirmarz@ufscar.br

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Resources and Materials #

FEEC UNICAMP streams


Save the date: April, 3rd, 2025.



Seminars-1-2025 - This article is part of a series.
Part 2: This Article