Keywords

SPEEDES, Random Numbers, Rollback-able, Rabelo, Sepulveda, Random number generators

Abstract

Random Numbers form the heart and soul of a discrete-event simulation system. There are few situations where the actions of the entities in the process being simulated can be completely predicted in advance. The real world processes are more probabilistic than deterministic. Hence, such chances are represented in the system by using various statistical models, like random number generators. These random number generators can be used to represent a various number of factors, such as length of the queue. However, simulations have grown in size and are sometimes required to run on multiple machines, which share the various methods or events in the simulation among themselves. These Machines can be distributed across a LAN or even the internet. In such cases, to keep the validity of the simulation model, we need rollback-able random number generators. This thesis is an effort to develop such rollback able random number generators for the Synchronous Parallel Environment for Emulation and Discrete-Event Simulation (SPEEDES) environment developed by NASA. These rollback-able random number generators will also add several statistical distribution models to the already rich SPEEDES library.

Notes

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Graduation Date

2005

Semester

Spring

Advisor

Rabelo, Luis

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Degree Program

Modeling and Simulation

Format

application/pdf

Identifier

CFE0000328

URL

http://purl.fcla.edu/fcla/etd/CFE0000328

Language

English

Release Date

May 2005

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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