An Introduction to Queues and Queueing Theory. Study and Evaluation Techniques for Queueing Systems, Telecommunication and Computational Model Systems. Little’s Law. Basic Queueing Theory - I (Analysis of M/M/-/- Type Queues), Basic Queueing Theory - II (Departures, Method of Stages, Batch Arrivals), Birth-Death Processes. Analysis of the simple M/M/1 and M/G/1 Queue. M/M/1/N Queues and Multi-Server Systems : M/M/m, M/M/m/K, M/M/m/m (Erlang – B). Applications and Simulation to Packet Scheduling in High-Speed Networks and Modern Wireless Networks.

• to understand of the aims, use, and functionality of queuing systems.
• to perceive and utilize the Little’s Law.
• to comprehend the discrete and continuous time Marcov Chains.
• to perceive the use and functionality of the birth-death model.
• to analyze and resolve Μ/Μ/-/- queuing systems.
• to analyze and resolve multiple-server and generic queueing systems.
• to develop simulation programs in order to study and evaluate various queuing systems.
• to apply and implement queuing systems in the context of modern communication networking.

None

Lectures, Programming Tasks

Written final exam (70%), Programming Tasks (30%)

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