Investigation of Enterprise Project Information Management System Integrating Cloud Computing and UML Technology

The research aims to integrate cloud computing and Unified Modeling Language (UML) technology to optimize enterprise project information management systems. The present work summarizes some recent literature on cloud computing and UML technology and analyzes the functional requirements of enterprise project information management systems. Then, a small financial company's project information management experience is selected as an example for a case study. Besides, the system load balancing algorithm based on Hadoop and the HBase distributed data storage network are constructed through UML software modeling. The experimental results indicate that the system running time span of the information management system built based on cloud computing and UML technology attains 2,750ms under 400 tasks, higher than other algorithms. Meanwhile, the query time of the HBase distributed database network can improve the data transmission efficiency to a certain extent. This research has practical reference and application value in enhancing the efficiency of enterprise project information search and management.