Mathematics & Physics 2016, 9(3), 288–295 УДК 519.873 Methods of Assessing the Characteristics of the Multiprocessor Computer System Adaptation Unit Sergey N.Efimov∗ Informatics and Telecommunications Institute Reshetnev Siberian State Aerospace University Krasnoyarskii Rabochii, 31, Krasnoyarsk, 660037 Russia Valeriy N.Tyapkin† Dmitry D. Dmitriev‡ Military Engineering Institute Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Vitaly A.Terskov§ Informatics and Telecommunications Institute Reshetnev Siberian State Aerospace University Krasnoyarskii Rabochii, 31, Krasnoyarsk, 660037 Russia Received 05.02.2016, received in revised form 31.03.2016, accepted 02.05.2016 The article presents the results of the development of mathematical models of the main methods for assessing efficiency indicators of multiprocessor computer systems adaptation unit multibeam antenna in real time and task of selecting the optimal structure. <...> Introduction Currently, a growing number of satellite communication systems developers and manufacturers pay attention to the adaptive multibeam antenna systems. <...> The adaptive multibeam antenna can be built on the basis of a phased antenna arrays with scanning beams and multibeam antennas are constructed on the basis of hybrid reflector antennas [1]. <...> A block adaptation is a processor based on the adaptive signal processor, and the adaptation is made on the program level. <...> All rights reserved c – 288 – Sergey N.Efimov, Valeriy N.Tyapkin, Dmitry D. Dmitriev, Vitaly A.Terskov Methods of Assessing . the development of synthesis algorithms of the amplitude-phase distribution of hybrid reflector antenna, which must be implemented in the adaptive processor. <...> The complexity of these algorithms require the use of multi-processor computer systems (MCS) [3]. <...> In the works of many researchers as key indicators by which assesses the effectiveness of the functioning of MCS, performance and reliability are taken [4–6]. <...> In [7] were constructed analytical and simulation models, allowing to carry out an assessment of the main indicators. 1. <...> Development of mathematical models of evaluation of performance and reliability To estimate the performance operation of MCS process is represented by a closed system and with the expectation a random distribution of all types of queries on all bus bars with no interaction between them. <...> It is assumed that the total flow of requests from each processor type <...>