Research on the Integration and Efficiency Enhancement of Research Resources in the Private University’s International Business Discipline from a Distributed Computing Perspective: A Case Study of Xiamen Institute of Technology

Aiming at the many problems in research resource management in private universities, this paper takes the integration of research resources in international business discipline of Xiamen Institute of Technology as an example, proposes a global integration and dynamic allocation model of research resources in distributed computing environment based on mobile agent (DCMA), and designs a dynamic bidirectional matching method of tasks and resources (DBMM) in order to improve the effectiveness of distributed computing.Experiments show that the proposed DBMM algorithm outperforms the LDCP algorithm and the hierarchical node sorting algorithm (SNLDD) in three metrics, namely, scheduling length, acceleration ratio and computational efficiency.Compared with LDCP and SNLDD, the scheduling length of DBMM algorithm is shortened by an average of 19.89% and 11.81%, the acceleration ratio is improved by an average of 19.77% and 9.26%, and the computational efficiency is increased by an average of 10.74% and 3.72%, which further improves the resource utilization rate of distributed computing system.Experiments were conducted using the research resource integration model, which achieved better efficacy in terms of probability value, goodness-offit, and stability of research resource integration in international business disciplines compared with the gray correlation analysis method.This paper provides an example reference for distributed computing system to realize research resource integration and efficiency improvement.