Ultra-Low Latency Augmented Reality (AR) Applications refer to AR systems that require minimal delay between user actions and system responses, typically under 20 milliseconds. These applications are designed to deliver seamless, real-time experiences where digital content interacts with the real world with little perceptible lag. Ultra-low latency is crucial in AR for applications like gaming, remote assistance, navigation, and industrial maintenance, where real-time interaction and synchronization are essential. Achieving this low latency involves advanced hardware, high-speed networks, and optimized software to ensure smooth and immersive user experiences.

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EdgeSync: Efficient Edge-Assisted Video Analytics via Network Contention-Aware Scheduling

With the advancement of 5G, edge-assisted video analytics has become increasingly popular, driven by the technology’s ability to support low-latency, high-bandwidth applications. However, in scenarios where multiple clients competing for network resources, network contention poses a significant challenge. In this paper, we propose a novel scheduling algorithm that intelligently batches and aligns the offloading of multiple video analytics clients to optimize both network and edge server resource utilization while meeting the Service Level Objective (SLO). Experiment with a cellular network testbed shows that our approach successfully processes 93% or more of inference requests from 7 different clients to the edge server while meeting the SLOs, whereas other approaches achieve a lower success rate, ranging from 65% to 85% under the same condition.