Xikai Sun
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.
- Meng-Yo Tsai 2019. Crucial-Resource Scheduling Strategy in Edge Computing. In 2019 ICEA. 146–150.Google Scholar
- Zheng Yang [n. d.]. CaaS: Enabling Control-as-a-Service for Time-Sensitive Networking. ([n. d.]).Google Scholar
- Mingjin Zhang 2022. ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing. In 2022 SEC. 149–161.Google Scholar
Index Terms
- TSTSS: A Time-Sensitive Task Scheduling System for Multi-modal Industrial Internet of Things
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