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dc.contributor.advisorXie, Geoffrey G.
dc.contributor.authorFischer, William D.
dc.dateJune 2009
dc.date.accessioned2012-08-22T15:32:19Z
dc.date.available2012-08-22T15:32:19Z
dc.date.issued2009-06
dc.identifier.urihttp://hdl.handle.net/10945/10435
dc.descriptionApproved for public release, distribution unlimiteden_US
dc.description.abstractPrior research has focused on intra-domain fault localization leaving the cross-domain problem largely unaddressed. Faults often have widespread effects, which if correlated, could significantly improve fault localization. For both competitive and security reasons, domain managers hesitate to share fault observations even when doing so may significantly ease fault localization. This dissertation presents a charac- terization of the problem space in terms of inference accuracy, privacy, and scalability, and provides a framework to evaluate any design in the design spectrum. This frame-work not only explicitly models the inference accuracy and privacy requirements for discussing and reasoning over cross-domain problems, but also addresses scalability impacts and facilitates the re-use of existing fault localization algorithms while enforcing domain privacy policies. The dissertation provides a graph-digest-based approach with which participating network domains can exchange abstracted graphs that represent network fault propagation models. The research explores feasibility of this approach via implementation of an inference graph-based design in a cross-domain network setting. The results show a substantial improvement in cross-domain fault localization accuracy and inference speed by using the inference-graph-digest based approach.en_US
dc.format.extentxviii, 115 p. ; 28 cm.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighteden_US
dc.subject.lcshComputer scienceen_US
dc.titleCross-domain network fault localizationen_US
dc.contributor.departmentDepartment of Computer Science
dc.contributor.departmentComputer Science
dc.subject.authorNetworkingen_US
dc.subject.authorFault Localizationen_US
dc.subject.authorCross-Domainen_US
dc.subject.authorBayesianen_US
etd.thesisdegree.namePh.D in Computer Scienceen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate School (U.S.)en_US


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