Lecture 18: Queueing Networks

Rare Events and Heavy Tails in Stochastic Systems

This is a set of lecture notes on large deviations and heavy tails in stochastic systems. After an introduction, a short and biased review on heavy-tailed distribution is given. Applications are mostly concerned with stochastic networks, and cover single-server queues, regenerative processes, and fluid models.

Multi-Objective Lead Time Control in Multistage Assembly Systems (TECHNICAL NOTE)

In this paper we develop a multi-objective model to optimally control the lead time of a multistage assembly system. The multistage assembly system is modeled as an open queueing network, whose service stations represent manufacturing or assembly operations. The arrival processes of the individual parts of the product, which should be assembled to each other in assembly stations, are assumed to...

EE 683 at NJIT Computer Network Design & Analysis LECTURE 9 : Queueing theory

Fuzzy Hierarchical Location-Allocation Models for Congested Systems

There exist various service systems that have hierarchical structure. In hierarchical service networks, facilities at different levels provide different types of services. For example, in health care systems, general centers provide low-level services such as primary health care services, while the specialized hospitals provide high-level services. Because of demand congestion in service networ...

EE 228 a - Lecture 8 - Spring 2006

In this lecture, we investigate several scheduling policies for generalized communication networks. The goal is to maximize the network throughput under certain communication constraints. The network is modeled by a set of interconnected and interdependent queueing processes, and the constraints are specified in a service rate matrix. We show two scheduling policies that are optimal in some tec...