A.F. Ulasen1, O.N. Andreeva2, S.Kh. Ekshembiev3, E.G. Berger4

1Vasilevsky Military Academy of Air Defense Forces RF (Smolensk, Russia)
2,3JSC «Concern «Morinsys-Agat» (Moscow, Russia)

4RTU MIREA (Moscow, Russia)

The design and development of modern information and control system (ICS) is impossible without analysis, forecasting and ensuring their reliability. At the same time, the goals of the analysis are the optimal distribution of reliability between the components of the equipment or system, the choice of a structure that provides the highest values of reliability indicators, the determination of the required degree of redundancy, the optimal choice of the initial values of the parameters of the equipment components, etc.

Purpose of the work is to determine the acceptable level of degradation of the multiprocessor matrix of the ICS.

Some aspects of ensuring the reliability of ICS equipment operating in real time are considered. One of the possible ways to increase the reliability of such systems is to quickly respond to distortions in the computing process and reconfigure the system by timely exclusion of failed processors of the multiprocessor matrix from the computing process, as well as redistribution of their functions among the remaining serviceable ones. Thus, all equipment is rebuilt into a new one, with failed processors, i.e. topology changes. However, in this case, the total computing capabilities of the ICS are reduced. It becomes difficult to take into account the relationship between the number of failed processors and the decrease in ICS performance using classical approaches to reliability assessment.

The proposed approach makes it possible to estimate the permissible level of performance degradation of the multiprocessor matrix of the information and control system and to determine the moment of critical degradation, i.e. the state of the ICS, in which the number of failed processors in the matrix and the change in the topology of connections do not allow to ensure the timely solution of the problem in real time.

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