Automated benchmarking framework for SCADA communication performance and driver scalability in Movicon

SCADA platforms are essential for the supervision and control of numerous devices and process variables in modern industrial automation systems. The scalability and performance of SCADA communication drivers become crucial elements to ensure reliable real-time data gathering as industrial systems become more sophisticated. This thesis presents the design and implementation of an automated benchmarking framework to evaluate the communication performance of the Movicon.NExT SCADA platform under increasing workload conditions. The suggested method makes it possible to automatically create large-scale test scenarios where the available resources, such as CPU cores and RAM, are varied while the number of exchanged variables(tags) is gradually increased. Systematic testing under various hardware configurations is made possible by the virtualized controlled environments in which the benchmarking process is carried out. The system includes automated project generation, an adaptable JSON-based configuration model, and test orchestration integrated within a continuous integration pipeline. The collected results are analyzed and presented through a dedicated web platform that offers a graphical dashboard for performance analysis and comparison across various hardware configurations. Repeatable and scalable performance testing is made possible by the developed technology, which offers important insights into the scalability and communication limits of industrial SCADA systems.