This research focuses on the simulation of an industrial communication network to manage and supervise virtual distributed systems in the cloud, using the Factory I/O platform. This work is based on innovative technologies linked to the Internet of Things (IoT), enabling the integration of industrial processes in virtual environments with a focus on automation and remote monitoring. The developed system consists of two virtual processes: one dedicated to level control and the other to flow control. For its implementation, the processes were first fine-tuned in order to optimize their performance and response to changes in operating conditions. The communication connection between the controllers is then established using the TIA Portal programming environment. In this framework, industrial process variables are assigned to a master controller that acts as a server, ensuring that the allocated memory spaces allow for both monitoring and remote control. For the monitoring and visualization of the system, the WinCC Advanced software is used, which facilitates interaction with the processes through a friendly graphical interface. Additionally, in order to improve connectivity and access to data in the cloud, the nodes are connected through the Node-RED platform. Finally, the remote monitoring of the processes is carried out through FRED (Front End for Node-RED), offering an effective and scalable solution for the administration of distributed industrial systems.