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dc.contributor.advisorSterbenz, James P.G.
dc.contributor.authorJabbar, Abdul
dc.date.accessioned2010-10-03T13:43:06Z
dc.date.available2010-10-03T13:43:06Z
dc.date.issued2010-06-11
dc.date.submitted2010
dc.identifier.otherhttp://dissertations.umi.com/ku:11013
dc.identifier.urihttp://hdl.handle.net/1808/6770
dc.description.abstractThe significance of resilient communication networks in the modern society is well established. Resilience and survivability mechanisms in current networks are limited and domain specific. Subsequently, the evaluation methods are either qualitative assessments or context-specific metrics. There is a need for rigorous quantitative evaluation of network resilience. We propose a service oriented framework to characterize resilience of networks to a number of faults and challenges at any abstraction level. This dissertation presents methods to quantify the operational state and the expected service of the network using functional metrics. We formalize resilience as transitions of the network state in a two-dimensional state space quantifying network characteristics, from which network service performance parameters can be derived. One dimension represents the network as normally operating, partially degraded, or severely degraded. The other dimension represents network service as acceptable, impaired, or unacceptable. Our goal is to initially understand how to characterize network resilience, and ultimately how to guide network design and engineering toward increased resilience. We apply the proposed framework to evaluate the resilience of the various topologies and routing protocols. Furthermore, we present several mechanisms to improve the resilience of the networks to various challenges.
dc.format.extent226 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectComputer engineering
dc.subjectElectronics and electrical engineering
dc.subjectComputer science
dc.subjectDependability and performability
dc.subjectDisruption tolerance (dtn)
dc.subjectManet
dc.subjectMetrics state space
dc.subjectNetwork resilience and survivability
dc.subjectTopology generation
dc.titleA Framework to Quantify Network Resilience and Survivability
dc.typeDissertation
dc.contributor.cmtememberFrost, Victor
dc.contributor.cmtememberMinden, Gary J.
dc.contributor.cmtememberWyglinski, Alexander M.
dc.contributor.cmtememberDuncan, Tyrone
dc.contributor.cmtememberHutchison, David
dc.contributor.cmtememberScoglio, Caterina
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelPh.D.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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