TSTSS: A Time-Sensitive Task Scheduling System for Multi-modal Industrial Internet of Things

Xikai Sun, Xu Wang, Fan Dang

Abstract: We propose a task scheduling system for Multi-modal Industrial Internet of Things (IIoT). The system is based on the improvement of Kubernetes and the parsing of task. Furthermore, it can dynamically select the appropriate nodes to parallelly process sub-tasks according to theirs latency requirement and real-time communication and computing conditions. It can effectively solve the impact of latency sensitivity differences on task scheduling in IIoT.