The aim of this book is to reflect the current cutting-edge thinking and established practices in the investigation of queueing systems and networks.
This second volume includes eight chapters written by experts well-known in their areas. The book conducts a stability analysis of certain types of multiserver regenerative queueing systems; a transient evaluation of Markovian queueing systems, focusing on closed-form distributions and numerical techniques; analysis of queueing models in service sectors using analytical and simulation approaches; plus an investigation of probability distributions in queueing models and their use in economics, industry, demography and environmental studies.
This book also considers techniques for the control of information in queueing systems and their impact on strategic customer behavior, social welfare and the revenue of monopolists. In addition, applications of maximum entropy methods of inference for the analysis of a stable M/G/1 queue with heavy tails, and inventory models with positive service time - including perishable items and stock supplied using various algorithmic control policies ((s; S); (r;Q), etc.).
1. Stability Analysis of Queueing Systems based on Synchronization of the Input and Majorizing Output Flows, Larisa Afanaseva.
2. Queueing Models in Services – Analytical and Simulation Approach, Srinivas R. Chakravarthy.
3. Distributions and Random Processes Related to Queueing and Reliability Models, Boyan Dimitrov.
4. The Impact of Information Structure on Strategic Behavior in Queueing Systems, Antonis Economou.
5. Non-extensive Maximum Entropy Formalisms and Inductive Inference of a Stable M/G/1 Queue with Heavy Tails, Demetres D. Kouvatsos and Ismail A. Mageed.
6. Inventory with Positive Service Time: a Survey, Achyutha Krishnamoorthy, Dhanya Shajin and Viswanath C. Narayanan.
7. A Stability Analysis Method of Regenerative Queueing Systems, Evsey Morozov and Bart Steyaert.
8. Transient Analysis of Markovian Queueing Systems: a Survey with Focus on Closed-forms and Uniformization, Gerardo Rubino.
Vladimir Anisimov is Full Professor in Applied Statistics. He works in the Centre for Design & Analysis at Amgen Inc. in London, UK. His research interests include probability models and stochastic processes, clinical trials modeling, applied statistics, queueing models and asymptotic techniques.
Nikolaos Limnios is Full Professor in Applied Mathematics at the University of Technology of Compiègne, part of the Sorbonne University Group, in France. His research interests include stochastic processes and statistics, Markov and semi-Markov processes, random evolutions with applications in reliability, queueing systems, earthquakes and biology.
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