Rollback-able Random Number Generators For The Synchronous Parallel Environment For Emulation And Discrete-event Simulation (spe

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.

Author dc:creator

• Narayanan, Ramaswamy Karthik

Contributors dc:contributor

• Rabelo, Luis

• SPEEDES
• Random Numbers
• Rollback-able
• Rabelo
• Sepulveda
• Random number generators
• Engineering

Language dc:language

English

Identifier

CFE0000328

OAI identifier oai:identifier

oai:stars.library.ucf.edu:etd-1364