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In recent years, the state has invested tremendous energy in the development of enterprise informatization construction and has also derived numerous high-quality enterprise informatization forms. At the same time, when the enterprise develops to a certain extent, the demand for change management, innovation mode and strategic transformation of information technology is gradually highlighted. Among them, the rapid development of information technology brings about many business systems, weak structure, difficult to adapt to system integration, information sharing and business collaboration. It is also the next important goal of enterprise information construction solutions. In order to solve the huge throughput problem caused by the integration platform of large enterprises in the face of tens of business system information data integration, the aim is to achieve three kinds of requirements for data integration, business integration and process integration of upstream business systems. Based on execution in the period range, this paper proposes a double-execution optimization algorithm for message queue with periodic execution and priority definition. The algorithm is implemented by analysing the operation behaviour of user roles, systems and time, and combining with the defined message importance tag. The experimental results show that this method can effectively filter, sort and execute a large number of message throughput accurately in a distributed working environment, and reduce the performance and delay risk caused by the complexity of information in the integrated system.

Message Queue Optimization Model Based on Periodic Execution and Category Priority