The distributed computing systems as based on real-time applications provide advantageous solutions for complex process control. Such systems are a multitude of heterogeneous nodes that are integrated into data processing and create a multicast communication network, where each node settles a part of a complex model, which is de¯ned for the purpose of process control. The e±ciency and performance of these systems are evident for distributed computing systems with a limited number of data processing nodes. However, in the context of the development of IoT technologies and Industry-4.0, which provides for the integration into a global network of all data processing nodes, delays in the communication process are possible, which will reduce the quality of the control process [1, 2]. In order to partially solve the above-mentioned problem, it is proposed to apply an adaptive calculation model. This model will recon¯gure the interconnection topology of the data processing nodes which will reduce the delay time in the data transfer process. The process is de¯ned as follows:formulaX(t) is the process state at a point of time t; U(t) is the action on the process; Q(t) is the system quality model; F(t) is the system control model; M(t) is the matrix of con¯guration of the topology of the network where data processing nodes interact; t ! t + ¢t is the dynamics of the process of adaptation of the system control model.