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Models for evaluating the performance of complex information and communication systems
Author(s) -
Igor Lvovich,
Ya. E. Lvovich,
A. P. Preobrazhenskiy,
Yu P Preobrazhenskiy,
О. Н. Чопоров
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/2/022099
Subject(s) - computer science , key (lock) , probabilistic logic , stability (learning theory) , telecommunications service , information system , decomposition , communications system , telecommunications , complex system , reliability engineering , data mining , operations research , artificial intelligence , engineering , machine learning , computer security , ecology , electrical engineering , biology
Information and telecommunication systems are one of the key components of modern companies. The effectiveness of the company depends on their performance. The paper considers several approaches related to the assessment of information and telecommunication systems: probabilistic method, series decomposition method, worst case method, statistical test method. An algorithm for analyzing the stability of an information and telecommunication system when reversible and irreversible changes in parameters are observed is considered. The results of evaluating the performance of information and telecommunication system. The comparison of methods is carried out.

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