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Performance Measurement of the PeopleSoft Multi-Tier Remote Computing Application

dc.contributor.authorChu, Yi-Chunen_US
dc.contributor.authorAntonelli, Charles J.en_US
dc.contributor.authorTeorey, Toby J.en_US
dc.date.accessioned2014-07-18T18:11:57Z
dc.date.available2014-07-18T18:11:57Z
dc.date.issued1998-06en_US
dc.identifier.citationY. C. Chu, C. J. Antonelli, and T. J. Teorey, "Performance Measurement of the PeopleSoft Multi-Tier Remote Computing Application," June 1998. <http://hdl.handle.net/2027.42/107919>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/107919
dc.description.abstractThe Center for Information Technology Integration has undertaken a study of the potential impact of PeopleSoft software on U-M production computing environments, focusing on the measurement and modeling of the Peoplesoft 6 architecture in order to provide results useful in sizing various components of the M-Pathways campus deployment. This report describes several experiments designed to evaluate the performance of PeopleSoft 6 remote computing applications being implemented at the University of Michigan. The purpose of these experiments is to develop a proper measurement methodology for quantifying the resource requirements of PeopleSoft OLTP transactions in a three-tier architecture consisting of client WinStations, WinFrame servers, and Oracle database servers. The measurement results are applied to an analytic three-tiered performance model and can be used to generate sizing estimates for production system components.en_US
dc.publisherCenter for Information Technology Integrationen_US
dc.titlePerformance Measurement of the PeopleSoft Multi-Tier Remote Computing Applicationen_US
dc.typeTechnical Reporten_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.contributor.affiliationumCenter for Information Technology Integrationen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/107919/1/citi-tr-98-3.pdf
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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