Show simple item record

dc.contributor.advisorSterbenz, James P. G.
dc.contributor.authorCheng, Yufei
dc.date.accessioned2017-01-02T20:11:21Z
dc.date.available2017-01-02T20:11:21Z
dc.date.issued2016-08-31
dc.date.submitted2016
dc.identifier.otherhttp://dissertations.umi.com/ku:14758
dc.identifier.urihttp://hdl.handle.net/1808/22346
dc.description.abstractGiven the high complexity and increasing traffic load of the Internet, geo-correlated challenges caused by large-scale disasters or malicious attacks pose a significant threat to dependable network communications. To understand its characteristics, we propose a critical-region identification mechanism and incorporate its result into a new graph resilience metric, compensated Total Geographical Graph Diversity. Our metric is capable of characterizing and differentiating resiliency levels for different physical topologies. We further analyze the mechanisms attackers could exploit to maximize the damage and demonstrate the effectiveness of a network restoration plan. Based on the geodiversity in topologies, we present the path geodiverse problem and two heuristics to solve it more efficiently compared to the optimal algorithm. We propose the flow geodiverse problem and two optimization formulations to study the tradeoff among cost, end-to-end delay, and path skew with multipath forwarding. We further integrate the solution to above models into our cross-layer resilient protocol stack, ResTP–GeoDivRP. Our protocol stack is prototyped and implemented in the network simulator ns-3 and emulated in our KanREN testbed. By providing multiple GeoPaths, our protocol stack provides better path restoration performance than Multipath TCP.
dc.format.extent165 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectElectrical engineering
dc.subjectcross-layer protocol
dc.subjectgeo-correlated challenges
dc.subjectGeodiversity routing protocol
dc.subjectmultipath routing
dc.subjectnetwork resilience
dc.titleFuture Internet Routing Design for Massive Failures and Attacks
dc.typeDissertation
dc.contributor.cmtememberCao, Jiannong
dc.contributor.cmtememberFrost, Victor S.
dc.contributor.cmtememberLi, Fengjun
dc.contributor.cmtememberMedhi, Deep
dc.contributor.cmtememberMinden, Gary J.
dc.contributor.cmtememberVitevitch, Michael S.
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelPh.D.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record