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Module Specifications

Archived Version 2010 - 2011

Module Title Data Network Protocol Analysis & Simulation
Module Code EE509
School School of Electronic Engineering

Online Module Resources

Module Co-ordinatorDr Jennifer McManisOffice NumberS330
Level 5 Credit Rating 7.5
Pre-requisite None
Co-requisite None
Module Aims
The ability to predict how a data communications network will perform in terms of delay, throughput or packet loss is an important aspect of the engineering practice of computer and telecommunications network design. Given the complexity of operation of communications protocols, coupled with the randomness of data traffic transported by a network, gaining a reliable estimate of system performance requires careful analysis with appropriate modelling techniques. The aim of this module is to firstly review the operating principles of data communications protocols and then to develop the basic theory and practice required for evaluating the performance of communications systems and data networks, using discrete-state mathematical and computer simulation modelling methods.

Learning Outcomes
On successful completion of this module the learner will be able to… • apply the basic analytic methods of probability and queueing theory to calculate the performance characteristics of a range of communications systems, including circuit switches, packet switches, optical WDM switches and polling and random access networks, • design and implement a disrcete-event computer simulation model for performance evaluation of a data communications network and be able to analyse the simulation output using statistical methods, • apply modelling methods to basic communication systems to determine the required system resources (e.g. communications channel bit rate) necessary to achieve a desired level of performance, • compare the achievable accuracy of the results from simulation models to that of analytic models that employ approximations to achieve a tractable solution, and • determine the fundamental effects of different traffic types on system performance.

Indicative Time Allowances
Hours
Lectures 36
Tutorials
Laboratories
Seminars
Independent Learning Time 76.5

Total 112.5
Placements
Assignments
NOTE
Assume that a 7.5 credit module load represents approximately 112.5 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.

Indicative Syllabus
Review of Data Network Protocols and Introduction to Performance Evaluation Network layer functions and an introduction to circuit and packet switching, link layer protocols, IP, routing, TCP, and application protocols. Future network trends. Motivation for the use of analysis and simulation methods: performance measures, resource allocation/dimensioning, deployment costs. Mathematical Fundamentals for Performance Analysis Probability spaces, probability functions, random variables, moments and moment generating functions, probability laws, stochastic processes, renewal processes, Poisson process, Markov processes and discrete-time and continuous-time Markov chains and application examples, Birth-Death processes. Discrete-Event Stochastic Simulation Methods Introduction to simulation modelling methodologies, random variates, pseudo-random number generators, non-uniform variates: inverse transform sampling and rejection sampling, event-lists, event scheduling and implementation, simulation validation, confidence intervals, and analysis of results. Queueing Analysis Methods Performance measures and objectives, Kendall''''s notation, Little''''s law, Markovian queueing systems, M/M/1, M/M/infinity, M/M/n, M/M/1/K, M/M/m/m, priority queues, the M/G/1 and M/D/1 queue. Product-Form Queueing networks. Application to communications sytems performance analysis. Analysis of Loss Systems Erlang-B and numerical solutions, overflow analysis, Equivalent Random Theory, optical switching application example. Analysis of Medium Access Protocols LAN/MAN random access and polling networks, Aloha and slotted Aloha, CSMA/CD and ethernet. Traffic Characteristics Non-Markovian traffic, Interrupted Poisson Process, long-tailed traffic, effective bandwidth. Introduction to Network Dimensioning and Optimisation Basic graph theory, network flow and capacity problems, resource allocation and optimisation.
Assessment
Continuous Assessment25% Examination Weight75%
Indicative Reading List
Recommended Reading ------------------- "Introduction to Queueing Theory", Robert B. Cooper, 2nd Edition, North-Holland (Elsevier), 1981. (available online) "Teletraffic Engineering Handbook", ITU-D, Study Group 2, 2008. (available online) "Performance Analysis of Local Computer Networks", Joseph Hammond and Peter O’Reilly, Addison-Wesley, 1986. "Computer Simulation Techniques - The Definitive Introduction", Harry Perros, e-book, 2009. (available online) Additional Reference Material ----------------------------- "Computer Networking, A Top-Down Approach Featuring the Internet", 3rd Edition, James F. Kurose, Keith W. Ross, Addison Wesley. “Discrete Event Simulation”, 4th Ed., Jerry Banks, John Carson, Barry Nelson, David Nicol, Prentice Hall, 2005 "Queueing Systems", L. Kleinrock, Wiley, 1975. "Probability, Random Variables and Stochastic Processes", A Papoulis, 2nd/3rd Edition, McGraw-Hill, 1984/1991. "Random Processes - A Mathematical Approach for Engineers", Robert Gray and Lee Davisson, Prentice-Hall, 1986. "Fundamentals of Queueing Theory", Donald Gross, Carl M. Harris, 3rd Edition, Wiley, 1998. "Teletraffic Theory and Engineering", Robert. B. Cooper and D.P. Heyman, Froehlich/Kent Encyclopaedia of Telecommunications, Vol. 16, Dekker, 1998, pp. 453-483. (available online)
Programme or List of Programmes
BSSAOStudy Abroad (DCU Business School)
ECSAOStudy Abroad (Engineering & Computing)
GCESGrad Cert. in Electronic Systems
GCTCGrad Cert. in Telecommunications Eng.
GDEGraduate Diploma in Electronic Systems
GTCGrad Dip in Telecommunications Eng
HMSAOStudy Abroad (Humanities & Soc Science)
IPMEIndividual Postgrad. Modules-Electronics
MENMEng in Electronic Systems
MEQMasters Engineering Qualifier Course
MTCMEng in Telecommunications Engineering
SHSAOStudy Abroad (Science & Health)
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