Service ORiented Computing EnviRonment (SORCER) for Deterministic Global and Stochastic Optimization

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dc.contributor.authorRaghunath, Chaitraen
dc.contributor.committeechairWatson, Layne T.en
dc.contributor.committeememberKolonay, Raymond M.en
dc.contributor.committeememberShaffer, Clifford A.en
dc.contributor.committeememberKapania, Rakesh K.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2017-03-07T07:00:19Zen
dc.date.available2017-03-07T07:00:19Zen
dc.date.issued2015-09-13en
dc.description.abstractWith rapid growth in the complexity of large scale engineering systems, the application of multidisciplinary analysis and design optimization (MDO) in the engineering design process has garnered much attention. MDO addresses the challenge of integrating several different disciplines into the design process. Primary challenges of MDO include computational expense and poor scalability. The introduction of a distributed, collaborative computational environment results in better utilization of available computational resources, reducing the time to solution, and enhancing scalability. SORCER, a Java-based network-centric computing platform, enables analyses and design studies in a distributed collaborative computing environment. Two different optimization algorithms widely used in multidisciplinary engineering design---VTDIRECT95 and QNSTOP---are implemented on a SORCER grid. VTDIRECT95, a Fortran 95 implementation of D. R. Jones' algorithm DIRECT, is a highly parallelizable derivative-free deterministic global optimization algorithm. QNSTOP is a parallel quasi-Newton algorithm for stochastic optimization problems. The purpose of integrating VTDIRECT95 and QNSTOP into the SORCER framework is to provide load balancing among computational resources, resulting in a dynamically scalable process. Further, the federated computing paradigm implemented by SORCER manages distributed services in real time, thereby significantly speeding up the design process. Results are included for an aircraft design application.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:6079en
dc.identifier.urihttp://hdl.handle.net/10919/75292en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectservice-oriented computingen
dc.subjectfederated computingen
dc.subjectdeterministic global optimizationen
dc.subjectstochastic optimizationen
dc.subjectmultidisciplinary designen
dc.titleService ORiented Computing EnviRonment (SORCER) for Deterministic Global and Stochastic Optimizationen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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