The development of the load balancer and the parallel module for managing associatively protected map databases

In the modern world, where information security and big data processing are key aspects of many industries, the importance of effectively managing and ensuring the reliability of cartographic databases is growing. These databases serve as the foundation for a wide range of applications, including geographic information systems, transportation management, environmental modeling, and urban planning. With the increase in the volume of geodata and the expansion of their use in various industries and science, the requirements for processing speed, accessibility and, above all, the security of this data are increasing. Poor management or security vulnerabilities can lead to significant losses, both economically and socially. The article is devoted to the development of a load balancer and a parallel module for managing associatively protected cartographic databases. The work includes a description and analysis of the use of the PostgreSQL DBMS with the Npgsql and PostGIS extensions for working with associatively protected spatial data. The article presents a method of parallel programming using the TPL library of the C# language. Testing of the developed module revealed optimal operating conditions, showing an increase in performance depending on the configuration of the nodes. The results of the study can serve as the basis for further optimization and development of systems for processing and managing large volumes of associatively protected geodata.