Poster: Traffic Scheduler for Cloud VR Applications in Edge Networks

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Wanghong Yang, Wenji Du, Baosen Zhao, Yongmao Ren, Xu Zhou, Xiaoming Fu

Published: 2023, Last Modified: 24 Mar 2026ICNP 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The pulse pattern generated by real-time cloud VR applications poses a new challenge to bandwidth-limited wireless access networks. Concurrent pulse flows can lead to significant congestion in access points, making network providers unable to guarantee the quality of experience (QoE) for all users. To maximize the number of satisfied users, we propose a cross-layer assisted traffic scheduling mechanism, CTS, to manage flows into the edge network. We evaluated CTS using a trace-driven simulator, and the experimental results prove that CTS achieves the theoretical maximum of satisfied users and maintains a more balanced load for the network.