A Course on Queueing Models

Emphasizing Markovian structures and the techniques that occur in different models, A Course on Queueing Models discusses recent developments in the field, different methodological tools - some of which are not available elsewhere - and computational techniques. The book covers fundamentals on Markovian and regenerative non-Markovian models as well as computational methods, statistical inference, and simulation. It also presents network queues, discrete time queues, optimization, combinatorial treatments in transient analysis, general queues, duality in queues, and new computational methods. Each self-contained chapter features a discussion section that summarizes material and highlights special features.