dc.contributor.authorPandurangan, Gopal.
dc.contributor.authorTrehan, Amitabh.
dc.date.accessioned2013-10-22T05:58:16Z
dc.date.available2013-10-22T05:58:16Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationPandurangan, G., & Trehan, A.(2013). Xheal: a localized self-healing algorithm using expanders. Distributed computing, 27(1), 39-54.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16688
dc.description.abstractWe consider the problem of self-healing in reconfigurable networks e.g., peer-to-peer and wireless mesh networks. For such networks under repeated attack by an omniscient adversary, we propose a fully distributed algorithm, Xheal, that maintains good expansion and spectral properties of the network, while keeping the network connected. Moreover, Xheal does this while allowing only low stretch and degree increase per node. The algorithm heals global properties like expansion and stretch while only doing local changes and using only local information. We also provide bounds on the second smallest eigenvalue of the Laplacian which captures key properties such as mixing time, conductance, congestion in routing etc. Xheal has low amortized latency and bandwidth requirements. Our work improves over the self-healing algorithms Forgiving tree [PODC 2008] and Forgiving graph [PODC 2009] in that we are able to give guarantees on degree and stretch, while at the same time preserving the expansion and spectral properties of the network.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesDistributed computingen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
dc.titleXheal: a localized self-healing algorithm using expandersen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00446-013-0192-1


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