Optimization Methods for Computing Task Deployment and Scheduling in Cloud-Edge-End Application Environments

With the Industrial Internet, manufacturers may fulfil their production processes effectively by computing-based digitial systems such as manufacturing execution system or distributed control system. Optimizing the offloading and scheduling of the computing tasks in the digital system among cloud and edge computing resources requires fundamentally addressing the complex relationships between the tasks, as well as variations in server performance and network bandwidth. In this paper, an optimization model of computing task offloading and scheduling is proposed considering task decompositional structure. A dedicated algorithm for solving the model is designed and implemented using the CPLEX solver. To verify the effectiveness of the model, computational experiments are conducted based on simulated problem instances, including comparative experiments across various problem scales. Additionally, the impact of model parameters in cloud computing systems on solution efficiency and quality is analyzed.