Traffic Management and Quality of Service

Description

Te aim of this course is to provide students with knowledge of analytical tools to address the problems of design, sizing and planning of packet switching networks with quality of service (delay and reliability guarantees). More specifically the objectives are:

- Knowledge of the problem of quality of service in packet switched networks. In order to do that the student studies the defining parameters of quality of service in packet switching networks, mechanisms for the provision of quality of service, the main technologies that implement these mechanisms and associated problems of design and evaluation.

- Training students to use tools for the evaluation and design of mechanisms for the provision of quality of service. Presenting the tools for mathematical analysis applicable to this case as well as the tools for simulation for discrete events. The latter are applied to several case studies in laboratory practice.

Recommended knowledge

MODELING AND EVALUATION OF COMMUNICATION NETWORKS Simultaneous

ANALYSIS AND DIMENSIONING OF MOBILE COMMUNICATION NETWORKS

Evaluation

Individual academic papers consisting of the application of stochastic methods of analysis to the cases studied in the classroom practices. The practices are evaluated from a diary of each of them done by the student.

Learning Units

• 1. Introduction to quality of service (QoS) in packet-switched networks
  • 1.1. Basics of packet-switched networks
  • 1.2. Quality of service definition
  • 1.3. Generic mechanisms for quality of service provision in packet-switched networks
  • 1.4. Overview of quality of service technologies for the Internet
• 2. Bounds and approximations
  • 2.1. Introduction
  • 2.2. Discrete-time traffic models
  • 2.3. Analysis of multiplexing with marginal buffering.
  • 2.4. Analysis of multiplexing with arbitrary buffering.
• 3. Discrete event simulation
  • 3.1. Basics of discrete event simulation
  • 3.2. Elements of a discrete event simulator
  • 3.3. Random number generation
  • 3.4. Data analysis
• 4. Laboratory sessions
  • 4.1. Operation of a simple discrete event simulator
  • 4.2. Simulation and data analysis of an M/D/1/K
  • 4.3. Simulation study of ON-OFF voice sources multiplexing with marginal buffering

Professor

José Ramón Vidal Catalá Vicent Plà Bosca