dc.contributor.advisor | Sterbenz, James P.G. | |
dc.contributor.author | Jabbar, Abdul | |
dc.date.accessioned | 2010-10-03T13:43:06Z | |
dc.date.available | 2010-10-03T13:43:06Z | |
dc.date.issued | 2010-06-11 | |
dc.date.submitted | 2010 | |
dc.identifier.other | http://dissertations.umi.com/ku:11013 | |
dc.identifier.uri | http://hdl.handle.net/1808/6770 | |
dc.description.abstract | The 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.extent | 226 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. | |
dc.subject | Computer engineering | |
dc.subject | Electronics and electrical engineering | |
dc.subject | Computer science | |
dc.subject | Dependability and performability | |
dc.subject | Disruption tolerance (dtn) | |
dc.subject | Manet | |
dc.subject | Metrics state space | |
dc.subject | Network resilience and survivability | |
dc.subject | Topology generation | |
dc.title | A Framework to Quantify Network Resilience and Survivability | |
dc.type | Dissertation | |
dc.contributor.cmtemember | Frost, Victor | |
dc.contributor.cmtemember | Minden, Gary J. | |
dc.contributor.cmtemember | Wyglinski, Alexander M. | |
dc.contributor.cmtemember | Duncan, Tyrone | |
dc.contributor.cmtemember | Hutchison, David | |
dc.contributor.cmtemember | Scoglio, Caterina | |
dc.thesis.degreeDiscipline | Electrical Engineering & Computer Science | |
dc.thesis.degreeLevel | Ph.D. | |
kusw.oastatus | na | |
kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
kusw.bibid | 8085533 | |
dc.rights.accessrights | openAccess | |