Performance Modeling of the PeopleSoft Multi-Tier Remote Computing Architecture
dc.contributor.author | Chu, Yi-Chun | en_US |
dc.contributor.author | Antonelli, Charles J. | en_US |
dc.contributor.author | Teorey, Toby J. | en_US |
dc.date.accessioned | 2014-07-18T18:12:00Z | |
dc.date.available | 2014-07-18T18:12:00Z | |
dc.date.issued | 1997-12 | en_US |
dc.identifier.citation | Y. C. Chu, C. J. Antonelli, and T. J. Teorey, "Performance Modeling of the PeopleSoft Multi-Tier Remote Computing Architecture," December 1997. <http://hdl.handle.net/2027.42/107929> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/107929 | |
dc.description.abstract | Complex client-server configurations being designed today require a new and closely coordinated approach to analytic modeling and measurement. A closed queuing network model for a two-tiered PeopleSoft 6 client-server system with an Oracle database server is demonstrated using a new performance modeling tool that applies mean value analysis. The focus of this work is on the measurement and modeling of the PeopleSoft architecture to provide useful capacity planning insights for an actual large-scale university-wide deployment. A testbed and database exerciser are then developed to measure model parameters and perform the initial validation tests. The testbed also provides preliminary test data on a proposed three-tiered deployment architecture that includes the Citrix WinFrame environment as an intermediate level between the client and the Oracle server. | en_US |
dc.publisher | Center for Information Technology Integration | en_US |
dc.title | Performance Modeling of the PeopleSoft Multi-Tier Remote Computing Architecture | en_US |
dc.type | Technical Report | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.contributor.affiliationum | Center for Information Technology Integration | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/107929/1/citi-tr-97-5.pdf | |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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