«Automation and Informatization of the fuel and energy complex»

Markov model of multi-criteria assessment and optimization of reliability and risks in self-synchronization of critical components of IT-project of network-centric enterprise management systems. Part 2

UDC: 004.418
DOI: -

Authors:

¹ National University of Oil and Gas "Gubkin University", Moscow, Russia

Keywords: critical components (objects), average dynamics method, mass service systems, software reliability, Markov processes, systems of Markov processes, IT-project reliability, IT-project risks

Annotation:

The article is a continuation of the study of the complex problem of assessing and optimizing the reliability and risks of IT-projects for the implementation of automated enterprise management systems (AEMS) within the framework of solving the problem of critical components (intelligent agents) self-synchronization functioning in conditions of uncertainty and risk. Mathematical models based on Markov random processes with discrete states and continuous time for components represented by one or several objects; the method of average dynamics for components represented by a set of homogeneous objects; the death-reproduction model for software component are proposed for modeling the functioning of an IT-project individual components. For modeling of the whole IT-project functioning as a multi-component system, a mathematical model is proposed that uses the models of individual components, but takes into account their mutual influence – the controlling influence. The proposed model allows estimating the overall reliability of the IT-project and its aggregate risk.

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