Description

The monograph analyzes the main methods and models of stochastic queueing theory oriented toward the research of information systems whose behavior is described by stochastic processes. The mentioned methods include the method of differential equations for studying Markovian systems, as well as methods of supplementary variables, embedded Markov chains, and regenerative processes applied to the study of semi-Markovian queueing systems.

A distinctive feature of the book is the inclusion of a large number of problems that organically complement the theoretical material. Detailed solutions are provided for most of them.

The book is addressed to students, lecturers, and postgraduates of mathematical, natural science, and technical universities, as well as to everyone involved in computer science and applied mathematics who utilizes probabilistic models of information systems in their research.

Aleh Tsihanenka is a well-known Belarusian scientist, Doctor of Physics and Mathematics, professor, and one of the leading specialists in the field of stochastic system analysis.