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dc.contributor.authorReiss, Charlesen_US
dc.date.accessioned2008-05-22T17:08:13Z
dc.date.available2008-05-22T17:08:13Z
dc.date.issued2008-05-05en_US
dc.identifier.urihttp://hdl.handle.net/1853/21821
dc.description.abstractThis thesis presents a design for distributed monitoring system designed to enable monitoring-informed optimizationsin distributed applications. Microbenchmarks and an evaluation in a scientific-computing scenario are presented. The monitoring system is intended to assist when application requirements cannot be easily expressed in a form suitable for existing autonomic computing approaches. The design embeds awareness of the application's topology into the monitoring system so queries can reference a node's place in the application without embedding extra assumptions about the overall layout of the application. Through integration with dynamic code generation, users may make potentially application-specific metadata available and use such data within dynamically deployed filters and transformation functions. Evaluations demonstrate that this approach can provide timely and useful information with low overhead.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectMiddlewareen_US
dc.subjectPerformance hintingen_US
dc.subjectDistributed databasesen_US
dc.subjectOverlay networksen_US
dc.titlePerformance Information Sharing Middlewareen_US
dc.typeUndergraduate Thesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.advisorCommittee Member/Second Reader: Eisenhauer, Greg; Faculty Mentor: Schwan, Karstenen_US


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