Queueing Theory: M/G/1 Queue

This lecture covers stochastic models for communications, focusing on queueing theory with an in-depth analysis of the M/G/1 queue. The lecture discusses the arrival process, service time distribution, and the steady-state behavior of the system. Various performance metrics and key concepts are explored, such as the utilization factor, average number of customers, and the Little's Law. The lecture also delves into the impact of different arrival and service time distributions on the system's performance, providing insights into optimizing queueing systems for efficiency and performance.