Research on Network Management System of University Human Resources Based on Computer Platform

This paper analyzes the business process of university personnel information management system. Then, based on the university cloud platform, combined with big data, combined with business services and diversified business services, the university personnel management system was established. Based on Microsoft Biztalk server, this system builds a new type of university human resource management system. Taking Microsoft Biztalk Server as an example, a service mode based on Biztalk server is proposed to solve the problems existing in the current university personnel work. To solve this problem, an optimization method based on genetic algorithm is proposed. On this basis, a new intelligent sorting algorithm is proposed. Compared with the existing algorithm, this algorithm saves 7.261s operation time. The algorithm is implemented on Biztalk server and its validity is verified. By experimental test, compared with the existing algorithms, the proposed optimization method can shorten the inference time. In this study, the optimization method based on genetic algorithm is used to optimize Biztalk server. Experimental results show that the running time of the algorithm is shorter. This has a certain reference significance for the design of Biztalk server. This method can effectively reduce the manual allocation task in the big data environment. The thesis has certain reference significance for promoting the informatization construction of school personnel work.