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The application of auto-repeat facilities in telephone systems, as well as the use of random access protocols in computer networks, have led to growing interest in retrial queueing models. Since much of the theory of retrial queues is complex from an analytical viewpoint, with this book the authors give a comprehensive and updated text focusing on approximate techniques and algorithmic methods for solving the analytically intractable models.

Retrial Queueing Systems: A Computational Approach also

  • Presents motivating examples in telephone and computer networks.
  • Establishes a comparative analysis of the retrial queues versus standard queues with waiting lines and queues with losses.
  • Integrates a wide range of techniques applied to the main M/G/1 and M/M/c retrial queues, and variants with general retrial times, finite population and the discrete-time case.
  • Surveys basic results of the matrix-analytic formalism and emphasizes the related tools employed in retrial queues.
  • Discusses a few selected retrial queues with QBD, GI/M/1 and M/G/1 structures.
  • Features an abundance of numerical examples, and updates the existing literature.

The book is intended for an audience ranging from advanced undergraduates to researchers interested not only in queueing theory, but also in applied probability, stochastic models of the operations research, and engineering. The prerequisite is a graduate course in stochastic processes, and a positive attitude to the algorithmic probability.




The application of auto-repeat facilities in telephone systems, as well as the use of random access protocols in computer networks, have led to growing interest in retrial queueing models. Since much of the theory of retrial queues is complex from an analytical viewpoint, with this book the authors give a comprehensive and updated text focusing on approximate techniques and algorithmic methods for solving the analytically intractable models.

Retrial Queueing Systems: A Computational Approach also

  • Presents motivating examples in telephone and computer networks.
  • Establishes a comparative analysis of the retrial queues versus standard queues with waiting lines and queues with losses.
  • Integrates a wide range of techniques applied to the main M/G/1 and M/M/c retrial queues, and variants with general retrial times, finite population and the discrete-time case.
  • Surveys basic results of the matrix-analytic formalism and emphasizes the related tools employed in retrial queues.
  • Discusses a few selected retrial queues with QBD, GI/M/1 and M/G/1 structures.
  • Features an abundance of numerical examples, and updates the existing literature.

The book is intended for an audience ranging from advanced undergraduates to researchers interested not only in queueing theory, but also in applied probability, stochastic models of the operations research, and engineering. The prerequisite is a graduate course in stochastic processes, and a positive attitude to the algorithmic probability.




The application of auto-repeat facilities in telephone systems, as well as the use of random access protocols in computer networks, have led to growing interest in retrial queueing models. Since much of the theory of retrial queues is complex from an analytical viewpoint, with this book the authors give a comprehensive and updated text focusing on approximate techniques and algorithmic methods for solving the analytically intractable models.

Retrial Queueing Systems: A Computational Approach also

  • Presents motivating examples in telephone and computer networks.
  • Establishes a comparative analysis of the retrial queues versus standard queues with waiting lines and queues with losses.
  • Integrates a wide range of techniques applied to the main M/G/1 and M/M/c retrial queues, and variants with general retrial times, finite population and the discrete-time case.
  • Surveys basic results of the matrix-analytic formalism and emphasizes the related tools employed in retrial queues.
  • Discusses a few selected retrial queues with QBD, GI/M/1 and M/G/1 structures.
  • Features an abundance of numerical examples, and updates the existing literature.

The book is intended for an audience ranging from advanced undergraduates to researchers interested not only in queueing theory, but also in applied probability, stochastic models of the operations research, and engineering. The prerequisite is a graduate course in stochastic processes, and a positive attitude to the algorithmic probability.


Content:
Front Matter....Pages i-xiii
Introduction and Motivating Examples....Pages 3-10
A General Overview....Pages 11-35
Limiting Distribution of the System State....Pages 39-93
Busy Period....Pages 95-130
Waiting Time....Pages 131-158
Other Descriptors....Pages 159-183
The Matrix-Analytic Formalism....Pages 187-205
Selected Retrial Queues with QBD Structure....Pages 207-240
Selected Retrial Queues with GI/M/1 and M/G/1 Structures....Pages 241-267
Back Matter....Pages 269-318


The application of auto-repeat facilities in telephone systems, as well as the use of random access protocols in computer networks, have led to growing interest in retrial queueing models. Since much of the theory of retrial queues is complex from an analytical viewpoint, with this book the authors give a comprehensive and updated text focusing on approximate techniques and algorithmic methods for solving the analytically intractable models.

Retrial Queueing Systems: A Computational Approach also

  • Presents motivating examples in telephone and computer networks.
  • Establishes a comparative analysis of the retrial queues versus standard queues with waiting lines and queues with losses.
  • Integrates a wide range of techniques applied to the main M/G/1 and M/M/c retrial queues, and variants with general retrial times, finite population and the discrete-time case.
  • Surveys basic results of the matrix-analytic formalism and emphasizes the related tools employed in retrial queues.
  • Discusses a few selected retrial queues with QBD, GI/M/1 and M/G/1 structures.
  • Features an abundance of numerical examples, and updates the existing literature.

The book is intended for an audience ranging from advanced undergraduates to researchers interested not only in queueing theory, but also in applied probability, stochastic models of the operations research, and engineering. The prerequisite is a graduate course in stochastic processes, and a positive attitude to the algorithmic probability.


Content:
Front Matter....Pages i-xiii
Introduction and Motivating Examples....Pages 3-10
A General Overview....Pages 11-35
Limiting Distribution of the System State....Pages 39-93
Busy Period....Pages 95-130
Waiting Time....Pages 131-158
Other Descriptors....Pages 159-183
The Matrix-Analytic Formalism....Pages 187-205
Selected Retrial Queues with QBD Structure....Pages 207-240
Selected Retrial Queues with GI/M/1 and M/G/1 Structures....Pages 241-267
Back Matter....Pages 269-318
....
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