Keywords
SPEEDES, Distributed Environment
Abstract
This thesis describes the application of parallel simulation techniques to represent the structured functional parallelism present within the Space Shuttle Operations Flow using the Synchronous Parallel Environment for Emulation and Discrete-Event Simulation (SPEEDES), an object-oriented multi-computing architecture. SPEEDES is a unified parallel simulation environment, which allocates events over multiple processors to get simulation speed up. Its optimistic processing capability minimizes simulation lag time behind wall clock time, or multiples of real-time. SPEEDES accommodates an increase in process complexity with additional parallel computing nodes to allow sharing of processing loads. This thesis focuses on the process of translating a model of Space Shuttle Operations from a procedural oriented and single processor approach to one represented in a process-driven, object-oriented, and distributed processor approach. The processes are depicted by several classes created to represent the operations at the space center. The reference model used is the existing Space Shuttle Model created in ARENA by NASA and UCF in the year 2001. A systematic approach was used for this translation. A reduced version of the ARENA model was created, and then used as the SPEEDES prototype using C++. The prototype was systematically augmented to reflect the entire Space Shuttle Operations Flow. It was then verified, validated, and implemented.
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
Department
Industrial Engineering and Management Systems
Degree Program
Modeling and Simulation
Format
application/pdf
Identifier
CFE0000330
URL
http://purl.fcla.edu/fcla/etd/CFE0000330
Language
English
Release Date
January 2015
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Paruchuri, Amith, "Speedes: A Case Study Of Space Operations" (2005). Electronic Theses and Dissertations. 370.
https://stars.library.ucf.edu/etd/370