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dc.contributor.advisorJulien, Christine, D. Sc.en
dc.creatorRajamani, Vasanthen
dc.date.accessioned2010-12-09T22:35:55Zen
dc.date.accessioned2010-12-09T22:36:24Zen
dc.date.available2010-12-09T22:35:55Zen
dc.date.available2010-12-09T22:36:24Zen
dc.date.issued2010-08en
dc.date.submittedAugust 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-08-1745en
dc.descriptiontexten
dc.description.abstractWith the proliferation of laptops, smart phones, sensors and other small devices, our physical environment is increasingly networked. Applications in a variety of problem domains (e.g., intelligent construction, traffic monitoring, smart homes, etc.) need to efficiently and seamlessly execute on top of such emerging infrastructure. Such infrastructure tends to be unreliable, and the network configuration changes constantly (network hosts depart and reemerge frequently). Consequently, software has to be able to react to these changes continuously and change its behaviors accordingly. In this dissertation, I introduce PAQ (Persistent Adaptive Query), a middleware designed to ease the programming burden associated with writing such applications. PAQ employs a novel style of query-driven application development that allows programmers to build pervasive applications by employing persistent queries--queries that continuously monitor the environment. The dissertation discusses the design and implementation of a new middleware model that allows programmers to write high level specifications abstracting away several tedious implementation details. PAQ employs both novel protocols that automatically tag the quality of information obtained from the network and statistical techniques to post-process and smooth the data. The goal of this research is to ease the software engineering challenges encountered during the construction and deployment of several applications in emerging pervasive computing environments thorough the use of a query-driven application development paradigm.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectQuery qualityen
dc.subjectAdaptive query processingen
dc.subjectDynamic networksen
dc.subjectSensor networksen
dc.subjectMobile adhoc networksen
dc.subjectPersistent Adaptive Queryen
dc.subjectPAQen
dc.titleUnderstanding query quality in dynamic networksen
dc.date.updated2010-12-09T22:36:24Zen
dc.contributor.committeeMemberPerry, Dewayneen
dc.contributor.committeeMemberBatory, Donen
dc.contributor.committeeMemberGarg, Vijayen
dc.contributor.committeeMemberBias, Randolphen
dc.description.departmentElectrical and Computer Engineeringen
dc.type.genrethesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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