论文标题
MEZ：一种用于潜伏敏感的多摄像机机器视觉的消息系统
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge
论文作者
论文摘要
Mez是一种用于延迟敏感的多摄像机机器视觉的发布订阅消息传递系统。与现有的消息传递系统不同，MEZ允许应用程序指定延迟和应用准确性界限。 MEZ实现了网络延迟控制器，该网络延迟控制器动态调整视频框架质量以满足延迟和应用程序准确性要求。此外，MEZ的设计利用了应用程序域特定的功能来提供低潜伏期操作。在IoT边缘测试中使用行人检测机视觉应用的实验评估表明，MEZ能够耐受高达10倍的延迟变化，而在应用程序准确性F1评分度量中，最差案例降低了4.2 \％。
Mez is a publish-subscribe messaging system for latency sensitive multi-camera machine vision at the IoT Edge. Unlike existing messaging systems, Mez allows applications to specify latency, and application accuracy bounds. Mez implements a network latency controller that dynamically adjusts the video frame quality to satisfy latency, and application accuracy requirements. Additionally, the design of Mez utilizes application domain specific features to provide low latency operations. Experimental evaluation on an IoT Edge testbed with a pedestrian detection machine vision application indicates that Mez is able to tolerate latency variations of up to 10x with a worst-case reduction of 4.2\% in the application accuracy F1 score metric.
