Published by Monash University, Australia
Maintained by wwwdev@monash.edu.au
Approved by M Rambert, Faculty of Information Technology
Copyright © Monash University 1997 - All Rights Reserved - Caution
A Sajeev
6 points
* 4 hours per week
* First semester
*
Caulfield
Objectives At the completion of this subject students should know the characteristics of distributed software systems; know different programming languages and paradigms for distributed systems; and be able to use statistical techniques and parallel programming languages to design simulations of distributed systems.
Synopsis Basic characteristics of distributed software systems. Specification of distributed systems. Task partitioning and allocation. The construction of distributed software systems. The simulation of systems, and simulation methodology. The use of statistical techniques in designing and analysing simulations. Case studies drawn from distributed problem solving.
Assessment Assignments: 100%
Recommended texts
Carriero N and Gelernter D How to write parallel programs: A
first course MIT Press, 1990
Chandy K M and Taylor S An introduction to parallel programming Jones
and Bartlett, 1992
Kleijnen J and van Groenendaal W Simulation: A statistical perspective
Wiley, 1994
Shatz S M Development of distributed software Macmillan, 1993
Published by Monash University, Australia
Maintained by wwwdev@monash.edu.au
Approved by M Rambert, Faculty of Information Technology
Copyright © Monash University 1997 - All Rights Reserved -
Caution