Cross-domain network fault localization
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Authors
Fischer, William D.
Subjects
Networking
Fault Localization
Cross-Domain
Bayesian
Fault Localization
Cross-Domain
Bayesian
Advisors
Xie, Geoffrey G.
Date of Issue
2009-06
Date
June 2009
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Prior 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.
Type
Description
Series/Report No
Department
Department of Computer Science
Computer Science
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xviii, 115 p. ; 28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.