An automated performance evaluation method for local area network server applications

Persistent Link:
http://hdl.handle.net/10150/278335
Title:
An automated performance evaluation method for local area network server applications
Author:
Buxton, Jeffrey Gillette
Issue Date:
1993
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The distributed processing capabilities of local area networks has led to the development of "client-server" applications for microcomputers. Two separate computer programs, the client and the server, comprise the client-server system. The server program receives and services requests sent to it by the client program. More than one copy of the client program may be connected at a time to the server via the network with each instance of the client program operating on a separate computer. Two difficulties are encountered when testing such a system. First, since each client station is operated by one or more human-users, extensive evaluation is costly when several clients are operated for a substantial amount of time. A second problem is an inherent inaccessibility to information about internal system states. This thesis presents a method for automating performance evaluations of the server component of the client-server software system. Two changes to the original system are required. First, the human-user inputs to the system are generated using probability distributions. Second, an additional computer program, the test monitor, is added to the system in order to automate the accumulation and storage of test data.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, System Science.; Computer Science.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Neuts, Marcel F.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleAn automated performance evaluation method for local area network server applicationsen_US
dc.creatorBuxton, Jeffrey Gilletteen_US
dc.contributor.authorBuxton, Jeffrey Gilletteen_US
dc.date.issued1993en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe distributed processing capabilities of local area networks has led to the development of "client-server" applications for microcomputers. Two separate computer programs, the client and the server, comprise the client-server system. The server program receives and services requests sent to it by the client program. More than one copy of the client program may be connected at a time to the server via the network with each instance of the client program operating on a separate computer. Two difficulties are encountered when testing such a system. First, since each client station is operated by one or more human-users, extensive evaluation is costly when several clients are operated for a substantial amount of time. A second problem is an inherent inaccessibility to information about internal system states. This thesis presents a method for automating performance evaluations of the server component of the client-server software system. Two changes to the original system are required. First, the human-user inputs to the system are generated using probability distributions. Second, an additional computer program, the test monitor, is added to the system in order to automate the accumulation and storage of test data.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, System Science.en_US
dc.subjectComputer Science.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorNeuts, Marcel F.en_US
dc.identifier.proquest1353107en_US
dc.identifier.bibrecord.b27589407en_US
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