Online Allocation of Python Online Teaching Resources Based on Global Search Algorithm

In order to improve the allocation performance of Python online teaching resources, improve the utilization rate of Python online teaching resources, and reduce the allocation delay, an online allocation method of Python online teaching resources based on the global search algorithm was proposed. This method firstly designs the critical path chain of Python online teaching shared resources, reasonably allocates and adjusts Python online teaching resources, constructs the Python online teaching resource sharing model, and develops the optimal sharing mechanism of Python online education resources. Secondly, the delay model of teaching resource allocation is established, the actual load difference between each teaching resource processing node is calculated, and the teaching resource demand of virtual machine is constrained based on Euclidean distance to achieve the purpose of reducing the allocation delay. Finally, the resource scheduling problem in Python online teaching is modeled as a nonlinear optimization problem by using the global search algorithm to improve resource utilization and realize online allocation of Python online teaching resources. The experimental results show that the method proposed in this paper is more reasonable in the allocation of Python online teaching resources, and the utilization and allocation delay of teaching resources are controlled above 90% and less than 0.1 s, respectively, with better allocation performance.