Research on Edge Computing Offloading Algorithm Based Contract-Design Theory

The offloading of computational tasks from resource-constrained edge devices to more powerful cloud servers has been widely adopted to improve the performance and resource utilization in edge computing systems. However, effective task offloading decisions in edge computing environments remain a challenging problem due to the dynamic and heterogeneous nature of edge resources. In this paper, we propose a novel approach for optimizing task offloading in edge computing. The method leverages the concept of contract design, which define the requirements and constraints for task offloading, to guide the decision-making process. By considering factors such as task characteristics, network conditions, and edge device capabilities, the method dynamically adjusts the contract parameters to achieve optimal offloading decisions. Numerical results demonstrate that the proposed method outperforms existing approaches in terms of offloading efficiency, energy consumption, and latency.