On the modification of GL-models by adding edges to a cyclic graph

Authors

  • Vitaliy A. Romankevich National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine
  • Kostiantyn V. Morozov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine
  • Alexei M. Romankevich National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine
  • Anna V. Morozova National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine
  • Lefteris Zacharioudakis Neapolis University Pafos, 2, Danais Ave., Pafos, 8042, Cyprus

DOI:

https://doi.org/10.15276/hait.07.2024.13

Keywords:

GL-models, MLE-models, non-basic fault-tolerant multiprocessor systems

Abstract

This work suggests a method for constructing GL-models of fault-tolerant multiprocessor systems. These models can be used, in particular, to estimate the reliability parameters of the latter by conducting statistical experiments with models of their behavior in the failure flow. Two cases are considered: the non-basic system, unlike the basic system, is resistant to some failures of increased multiplicity, or else, on the contrary, the non-basic system is vulnerable to certain failures that do not lead to the failure of the basic system. In this case, the condition under which the system’s behavior differs from the baseline corresponds to a Boolean expression, that depends on the values of the elements of the system state vector, which characterizes the states of its processors in the failure flow. According to the method proposed in the article, a model of such system is built by adding an edge or several edges to the so-called
MLE-model, a type of GL-model, that can be constructed for any basic system and is based on cyclic graphs. The edge function for this edge is formed based on the aforementioned Boolean expression. The models constructed by the proposed method are also based on cyclic graphs, which, in particular, significantly simplify the procedure for assessing the connectivity of the last ones. A series of experiments have been conducted to confirm the adequacy of the models (obtained by the proposed method) to the behavior of systems in the failure flow. This work presents examples that demonstrate the process of constructing GL-models for non-basic fault-tolerant multiprocessor systems using the proposed method for both of the above cases.

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Author Biographies

Vitaliy A. Romankevich, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine

Doctor of Engineering Sciences, Professor, Head of System Programming and Special Computer
System Department

Scopus Author ID: 57193263058

Kostiantyn V. Morozov, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine

PhD, Assistant, System Programming and Special Computer System Department

Scopus Author ID: 57222509251

Alexei M. Romankevich, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine

Doctor of Engineering Sciences, Professor, System Programming and Special Computer System Department

Scopus Author ID: 6602114176

Anna V. Morozova, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Peremogy Ave. Kyiv, 03056, Ukraine

student, System Programming and Special Computer System Department

Lefteris Zacharioudakis, Neapolis University Pafos, 2, Danais Ave., Pafos, 8042, Cyprus

PhD (Eng), Assistant professor

Scopus Author ID: 57422876200

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Published

2024-05-14

How to Cite

Romankevich, V. A., Morozov, K. V. ., Romankevich, A. M., Morozova, A. V. ., & Zacharioudakis, L. . (2024). On the modification of GL-models by adding edges to a cyclic graph. Herald of Advanced Information Technology, 7(2), 185–198. https://doi.org/10.15276/hait.07.2024.13