The Model Framework of College Students’ Entrepreneurial Team Formation Based on Relevance Algorithm

Abstract

Reasonable realization of the task relevance of the entrepreneurial team formation model is a research hotspot in the field of cluster computing. Based on the theoretical basis of the correlation algorithm, this article constructs a parallel computing framework for college students’ entrepreneurial formation model and realizes the application of the team formation model in the entrepreneurial model. This article replaces the traditional structure with the multi-entrepreneurial formation mode structure to avoid premature convergence and initializes the entrepreneurial formation mode with an algorithm, which solves the problem of the first-come, first-served entrepreneurial association degree algorithm of the entrepreneurial formation mode. During the simulation process, the multilevel entrepreneurial relevance algorithm based on the relevance algorithm was experimentally verified and performance tested. In the performance comparison test, the optimal solution search efficiency increased to 89.7%, the heterogeneous fault tolerance rate of resources reached 0.713, and the task set scheduling time was reduced to 0.221s. The experimental results show that the multilevel entrepreneurial relevance model based on the relevance algorithm can effectively reduce the task set scheduling time and relevance cost, and can take into account the load balance of the system, effectively promoting the diversity and dynamics of resource requirements.