Task Offloading Method for Industrial Internet of Things (IIoT) Targeting Computational Resource Management

In the context of industrial scenarios, devices exhibit specificity and task arrival rates vary over time. Considering real-world task queuing issues and incorporating edge computing offloading and D2D offloading techniques, this paper proposes TVTAO for computational resource management to meet latency requirements. First, three offloading decisions are introduced, then offloading policy constraints are proposed to restrict devices from selecting the same task for execution during task offloading. Simulation results demonstrate that the TVTAO algorithm can reasonably make task offloading decisions and allocate computational resources, effectively reducing the average processing latency of the overall system.