Intelligent Integration of Digital Resources in University Libraries Based on Mobile Agent Distributed Computing

Abstract

With the vigorous promotion of the digital economy era, the library collection mode has gradually developed from paper resources to the coexistence of paper resources and digital resources. Digital resources have become the most important role in the construction of library collection resources. This paper proposes a multi-level integration system design model of university library digital resources based on mobile Agent distributed computing, designs an integration algorithm of university library digital resources, constructs a cloud storage structure model of university library digital resources, combines mobile Agent distributed computing and big data information fusion scheduling algorithm to extract the characteristics of attribute integration of university library digital resources, adopts statistical data analysis method, The multi-level scheduling model of digital resources in university libraries is constructed. Fuzzy information fusion and feature detection methods are used to match the autocorrelation features of digital resources in university libraries. The multi-level spatial distribution model of digital resources integration in university libraries is constructed. The intelligent integration and information optimization retrieval of digital resources in university libraries are realized by mobile Agent distributed computing method. The simulation results show that the multi-level integration of digital resources in university libraries with this method has a high degree of integration, and the classified storage capacity of resource data is better, thus improving the intelligent retrieval capacity of digital resources in university libraries.