The paper describes the main agents, with their components and process diagrams, of the developed simulation model of the functioning of the distributed information processing system, created in the AnyLogic software environment. A method for constructing models with self-similar traffic is described. The article also presents a method for obtaining real (reference) indicators of the average response time of the system to user requests. The results of numerical experiments on the created models of the functioning of distributed information processing systems with self-similar traffic are presented. The main conclusions about the performed experiments are presented.

Keywords: distributed information processing system, self-similar flow, average system response time, simulation, object-oriented concept, agent-based and discrete-event modeling

This article considers the problem of managing operational processes of operators of complex systems using the example of the work of the operators of the Russian segment of the International Space Station. The structure of on-board documentation and methods of composing radiograms are described. The complexity of the astronaut's work with reference radiograms is indicated. The use of situational modeling tools and fuzzy logic in the task of controlling operational processes of complex systems is substantiated. A mathematical model of complex systems based on fuzzy situation networks is proposed. The problem of finding the path from an unknown situation to a graph describing the state states of the system is formulated. The initial conditions necessary for solving the problem are formulated. The requirements for solving this problem in the form of mathematical equations are established. A graphical representation of the given problem is constructed in the form of an oriented graph.

Keywords: situational modeling, fuzzy sets, graph theory, decision theory, documentation, complex systems, fuzzy logic, fuzzy situation networks, set theory, optimal control theory