A Distributed Computing Solution for Integrating International Business Research Resources in Private Universities: The Case of Xiamen University of Technology

As an applied discipline with strong intersectionality and outstanding practicality, the scientific research activity of international business involves diversified data sources and heterogeneous resource types.Aiming at the problem of uneven allocation of scientific research resources in international business discipline in private universities, this paper constructs a system of scientific research resource integration and performance enhancement based on distributed computing.The research adopts the dominant resource fair distribution algorithm (DRF) instead of the traditional load balancing algorithm, acquires research resources through submission, cooperation and other methods, establishes a unified authoring standard for resource processing, and designs a four-layer logical structure that includes end users, portal sites, registration centers and resource sites.Experimental results show that under the condition of 16,000 resources, the system integration time is from 25.031 seconds to 28.754 seconds, and the throughput reaches 562 to 693 per second, which improves the utilization rate compared with the traditional algorithm to the range of 20% to 85%, and effectively avoids more than 50% of high load fluctuation.The study shows that the DRF algorithm significantly improves the load unevenness problem in the process of multi-resource allocation, realizes the relative balance among cluster nodes, and effectively improves the resource utilization and processing efficiency of the scientific research resource integration system of international business disciplines.