Grid-aware evaluation of regular path queries on large Spatial networks

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dc.contributor.authorMiao, Zhuo
dc.contributor.supervisorThomo, Alex
dc.date.accessioned2007-08-20T16:38:52Z
dc.date.available2007-08-20T16:38:52Z
dc.date.copyright2007en_US
dc.date.issued2007-08-20T16:38:52Z
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractRegular path queries (RPQs), expressed as regular expressions over the alphabet of database edge-labels, are commonly used for guided navigation of graph databases. RPQs are the basic building block of almost all the query languages for graph databases, providing the user with a nice and simple way to express recursion. While convenient to use, RPQs are notorious for their high computational demand. Except for few theoretical works, there has been little work evaluating RPQs on databases of great practical interest, such as large spatial networks. In this thesis, we present a grid-aware, fault tolerant distributed algorithm for answering RPQs on spatial networks. We engineer each part of the algorithm to account for the assumed computational-grid setting. We experimentally evaluate our algorithm, and show that for typical user queries, our algorithm satisfies the desiderata for distributed computing in general, and computational-grids in particular.en_US
dc.identifier.bibliographicCitationMiao Z., D. Stefanescu, A. Thomo. Grid-Aware Evaluation of Regular Path Queries on Spatial Networks. Proc. of AINA’07.en_US
dc.identifier.urihttp://hdl.handle.net/1828/192
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectDistributeden_US
dc.subjectQuery Evaluationen_US
dc.subjectRegular Path Queriesen_US
dc.subjectGriden_US
dc.subjectSpatial databasesen_US
dc.subjectRoad networksen_US
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Applied Sciences::Computer scienceen_US
dc.titleGrid-aware evaluation of regular path queries on large Spatial networksen_US
dc.typeThesisen_US

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