Courses
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Descriptions
IEMS 464: Advanced Queueing Theory

Quarter Offered

None ;

Prerequisites

IEMS 460-1 Stochastic Models I, or equivalent.

Description

The purpose of the course is to present some of the classical results in queueing theory, mainly in the analysis of single-server queues and Markovian (reversible) stochastic networks. Another goal is to present a set of tools and techniques which can be used in other areas of applied probability, such as martingale techniques, reversibility, weak convergence, the continuous-mapping theorem, and level-crossing.

MATERIALS

Recommended: 

Ronald W. Wolff. Stochastic modeling and the theory of queues.

Philip Robert. Stochastic networks and queues.

Hong Chen and David Yao. Fundamentals of queueing networks.