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Self-Healing Networks: Redundancy and Structure
We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922772/ https://www.ncbi.nlm.nih.gov/pubmed/24533065 http://dx.doi.org/10.1371/journal.pone.0087986 |
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author | Quattrociocchi, Walter Caldarelli, Guido Scala, Antonio |
author_facet | Quattrociocchi, Walter Caldarelli, Guido Scala, Antonio |
author_sort | Quattrociocchi, Walter |
collection | PubMed |
description | We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns—from planar grids, to small-world, up to scale-free networks—on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems. |
format | Online Article Text |
id | pubmed-3922772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39227722014-02-14 Self-Healing Networks: Redundancy and Structure Quattrociocchi, Walter Caldarelli, Guido Scala, Antonio PLoS One Research Article We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns—from planar grids, to small-world, up to scale-free networks—on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems. Public Library of Science 2014-02-12 /pmc/articles/PMC3922772/ /pubmed/24533065 http://dx.doi.org/10.1371/journal.pone.0087986 Text en © 2014 Quattrociocchi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Quattrociocchi, Walter Caldarelli, Guido Scala, Antonio Self-Healing Networks: Redundancy and Structure |
title | Self-Healing Networks: Redundancy and Structure |
title_full | Self-Healing Networks: Redundancy and Structure |
title_fullStr | Self-Healing Networks: Redundancy and Structure |
title_full_unstemmed | Self-Healing Networks: Redundancy and Structure |
title_short | Self-Healing Networks: Redundancy and Structure |
title_sort | self-healing networks: redundancy and structure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922772/ https://www.ncbi.nlm.nih.gov/pubmed/24533065 http://dx.doi.org/10.1371/journal.pone.0087986 |
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