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Connector-based Performance Data Collection for Component Applications
dc.contributor.advisorTůma, Petr
dc.creatorBulej, Lubomír
dc.date.accessioned2018-11-30T12:22:34Z
dc.date.available2018-11-30T12:22:34Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/20.500.11956/12612
dc.description.abstractIn this work, we propose a generic approach to collection of performance data for hetero-geneous component-based applications with the aim to provide easier and less costly access to performance data needed for measurement and model-based performance analysis of component applications. The technical foundation for the approach is built on generic solutions to various aspects of performance data collection and is made of three parts. The first part provides a design of a generic measurement infrastructure which handles common performance measurement tasks and allows collecting arbitrary performance data in response to performance events. The second part proposes using architecture-based connectors for instrumentation of component applications and provides a design of a performance instrumentation connector element for use with the measurement infrastructure. The third part proposes integration of connectors into deployment process of component applications which enables deployment and transparent instrumentation of heterogeneous component-based applications.en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleConnector-based Performance Data Collection for Component Applicationsen_US
dc.typedizertační prácecs_CZ
dcterms.created2007
dcterms.dateAccepted2007-09-24
dc.description.departmentKatedra softwarového inženýrstvícs_CZ
dc.description.departmentDepartment of Software Engineeringen_US
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.identifier.repId39801
dc.title.translatedConnector-based Performance Data Collection for Component Applicationscs_CZ
dc.contributor.refereeJaneček, Jan
dc.contributor.refereeMurphy, John
dc.identifier.aleph000833068
thesis.degree.namePh.D.
thesis.degree.leveldoktorskécs_CZ
thesis.degree.disciplineSoftwarové systémycs_CZ
thesis.degree.disciplineSoftware Systemsen_US
thesis.degree.programInformaticsen_US
thesis.degree.programInformatikacs_CZ
uk.thesis.typedizertační prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra softwarového inženýrstvícs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Software Engineeringen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csSoftwarové systémycs_CZ
uk.degree-discipline.enSoftware Systemsen_US
uk.degree-program.csInformatikacs_CZ
uk.degree-program.enInformaticsen_US
thesis.grade.csProspěl/acs_CZ
thesis.grade.enPassen_US
uk.abstract.enIn this work, we propose a generic approach to collection of performance data for hetero-geneous component-based applications with the aim to provide easier and less costly access to performance data needed for measurement and model-based performance analysis of component applications. The technical foundation for the approach is built on generic solutions to various aspects of performance data collection and is made of three parts. The first part provides a design of a generic measurement infrastructure which handles common performance measurement tasks and allows collecting arbitrary performance data in response to performance events. The second part proposes using architecture-based connectors for instrumentation of component applications and provides a design of a performance instrumentation connector element for use with the measurement infrastructure. The third part proposes integration of connectors into deployment process of component applications which enables deployment and transparent instrumentation of heterogeneous component-based applications.en_US
uk.file-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra softwarového inženýrstvícs_CZ
thesis.grade.codeP
dc.identifier.lisID990008330680106986


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