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Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge

Authors :
George, Anjus
Ravindran, Arun
Mendieta, Mattias
Tabkhi, Hamed
Publication Year :
2020

Abstract

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.<br />Comment: Under review ACM Transactions on Internet of Things

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2009.13549
Document Type :
Working Paper