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Design and implementation of a computation server for optimization with application to the analysis of critical infrastructure

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Author
Gun, Selcuk
Date
2013-06
Advisor
Carlyle, W. Matthew
Otani, Thomas
Second Reader
Alderson, David L.
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Abstract
Despite recent advances in the computational performance of decision support tools for Operations Analysis, there remains a persistent challenge in the deployment and use of sophisticated models by analysts who operate in limited computing environments. Recently, there has been a move toward cloud-based computing architectures that attempt to solve this problem by decoupling the user interface from the remote computational resources. The objective of this thesis is to provide a flexible and robust implementation of a server architecture and procedure for rapid development and deployment of decision support tools. This thesis identifies functional requirements, develops an architecture to support those requirements, implements a prototype solution, and demonstrates the effectiveness of the solution for a simplified example of interdependent infrastructure systems optimization.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
URI
http://hdl.handle.net/10945/34670
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