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dc.contributor.authorZhang, Jianan
dc.contributor.authorModiano, Eytan H.
dc.date.accessioned2020-05-08T15:21:50Z
dc.date.available2020-05-08T15:21:50Z
dc.date.issued2018-09
dc.identifier.issn1063-6692
dc.identifier.issn1558-2566
dc.identifier.urihttps://hdl.handle.net/1721.1/125138
dc.description.abstractWe propose and analyze a graph model to study the connectivity of interdependent networks. Two interdependent networks of arbitrary topologies are modeled as two graphs, where every node in one graph is supported by supply nodes in the other graph, and a node fails if all of its supply nodes fail. Such interdependence arises in cyber-physical systems and layered network architectures. We study the supply node connectivity of a network: namely, the minimum number of supply node removals that would disconnect the network. We develop algorithms to evaluate the supply node connectivity given arbitrary network topologies and interdependence between two networks. Moreover, we develop interdependence assignment algorithms that maximize the supply node connectivity. We prove that a random assignment algorithm yields a supply node connectivity within a constant factor from the optimal for most networks. Keywords: Robustness; cyber-physical systems; communication networks; analytical models.en_US
dc.description.sponsorshipUnited States. Defense Threat Reduction Agency (Grant HDTRA1-13-1-0021)en_US
dc.description.sponsorshipUnited States. Defense Threat Reduction Agency (Grant DTRA1-14-1-0058)en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tnet.2018.2863715en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleConnectivity in Interdependent Networksen_US
dc.typeArticleen_US
dc.identifier.citationZhang, Jianan and Modiano, Eytan. "Connectivity in Interdependent Networks." IEEE/ACM Transactions on Networking 26, 5 (October 2018): 2090 - 2103 © 1993-2012 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journalIEEE/ACM Transactions on Networkingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-10-30T14:36:40Z
dspace.date.submission2019-10-30T14:36:44Z
mit.journal.volume26en_US
mit.journal.issue5en_US
mit.metadata.statusComplete


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