移动增强现实的网络挑战

Wenxiao Zhang, B. Han, P. Hui
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引用次数: 71

摘要

在本文中,我们对移动设备上的增强现实(AR)进行了现实检查。我们分析和测量了两种流行的商业AR系统的计算密集型视觉任务的云卸载特性。我们的主要发现是,他们基于云的识别仍然不成熟,没有针对延迟、数据使用和能耗进行优化。为了确定进一步提高移动AR体验质量(QoE)的机会,我们分解了典型的基于云的移动AR管道的端到端延迟,并确定了关键路径中的主导组件。
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On the Networking Challenges of Mobile Augmented Reality
In this paper, we conduct a reality check for Augmented Reality (AR) on mobile devices. We dissect and measure the cloud-offloading feature for computation-intensive visual tasks of two popular commercial AR systems. Our key finding is that their cloud-based recognition is still not mature and not optimized for latency, data usage and energy consumption. In order to identify the opportunities for further improving the Quality of Experience (QoE) for mobile AR, we break down the end-to-end latency of the pipeline for typical cloud-based mobile AR and pinpoint the dominating components in the critical path.
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