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Pioneering Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT
  • +5
  • Yujiao Hu,
  • Yining Zhu,
  • Huayu Zhang,
  • Yan Pan,
  • Qingmin Jia,
  • Renchao Xie,
  • Gang Yang,
  • Richard Yu
Yujiao Hu

Corresponding Author:[email protected]

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Yining Zhu
Huayu Zhang
Yan Pan
Qingmin Jia
Renchao Xie
Gang Yang
Richard Yu


The Industrial Internet of Things (IIoT) has become a critical technology to accelerate the process of digital and intelligent transformation of industries. As the cooperative relationship between smart devices in IIoT becomes more complex, getting deterministic responses of IIoT periodic time-critical computing tasks becomes a crucial and nontrivial problem. However, few current works in cloud/edge/fog computing focus on this problem. This paper is a pioneer to explore the deterministic scheduling and network structural optimization problems for IIoT periodic time-critical computing tasks. We first formulate the two problems and derive theorems to help quickly identify computation and network resource sharing conflicts. Based on this, we propose a deterministic scheduling algorithm, IIoTBroker, which realizes deterministic response for each IIoT task by optimizing the fine-grained computation and network resources allocations, and a network optimization algorithm, IIoTDeployer, providing a cost-effective structural upgrade solution for existing IIoT networks. Our methods are illustrated to be cost-friendly, scalable, and deterministic response guaranteed with low computation cost from our simulation results.
22 Feb 2024Submitted to TechRxiv
22 Feb 2024Published in TechRxiv