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dc.contributor.authorChiesa, Marco
dc.contributor.authorNikolaevskiy, Ilya
dc.contributor.authorMitrovic, Slobodan
dc.contributor.authorGurtov, Andrei
dc.contributor.authorMadry, Aleksander
dc.contributor.authorSchapira, Michael
dc.contributor.authorShenker, Scott
dc.date.accessioned2021-10-27T20:29:11Z
dc.date.available2021-10-27T20:29:11Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/1721.1/135764
dc.description.abstract© 1993-2012 IEEE. Fast reroute and other forms of immediate failover have long been used to recover from certain classes of failures without invoking the network control plane. While the set of such techniques is growing, the level of resiliency to failures that this approach can provide is not adequately understood. In this paper, we embarked upon a systematic algorithmic study of the resiliency of forwarding tables in a variety of models (i.e., deterministic/probabilistic routing, with packet-header-rewriting, with packet-duplication). Our results show that the resiliency of a routing scheme depends on the 'connectivity' k of a network, i.e., the minimum number of link deletions that partition a network. We complement our theoretical result with extensive simulations. We show that resiliency to four simultaneous link failures, with limited path stretch, can be achieved without any packet modification/duplication or randomization. Furthermore, our routing schemes provide resiliency against k-1 failures, with limited path stretch, by storing (k) bits in the packet header, with limited packet duplication, or with randomized forwarding technique.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.isversionof10.1109/TNET.2016.2619398
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceother univ website
dc.titleOn the Resiliency of Static Forwarding Tables
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalNetworking, IEEE-ACM Transactions on
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-06-13T17:44:33Z
dspace.orderedauthorsChiesa, M; Nikolaevskiy, I; Mitrovic, S; Gurtov, A; Madry, A; Schapira, M; Shenker, S
dspace.date.submission2019-06-13T17:44:34Z
mit.journal.volume25
mit.journal.issue2
mit.metadata.statusAuthority Work and Publication Information Needed


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