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Abstract
Traditional approaches to provide classes of resilient service take the physical network availability as an input and then deploy redundancy and restoration techniques at various layers, often without full knowledge of mappings between layers. This makes it hard (and often inefficient) to ensure the high availability required by critical services which are typically a small fraction of the total traffic. Here, the innovative technique of embedding a higher availability substructure, designated the spine, into the network at the physical layer, is explored. In the spine-based approach, it is considered that high availability must begin at the physical level and then must be reinforced in upper layers. A recent disaster-resilience framework, named Framework for Disaster Resilience, which incorporates reliable network design (i.e. using the spine), disaster failure modelling and protection routing to improve the availability of critical services is discussed. Next, a proposal to select network links for availability upgrade to ensure high availability is presented. This is followed by a study assuming that if disaster-prone areas are known, they can be represented as obstacles which should be avoided when deploying the physical backbone of a communications network. Hence, a heuristic for a minimum-cost Euclidean Steiner tree taking into account the presence of soft obstacles is presented.
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Authors (10)
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Teresa Gomes
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Lúcia Martins
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Rita Girão-Silva
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David Tipper
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Alija Pašić
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Balázs Vass
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Luís Garrote
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Urbano J. Nunes
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Martin Zachariasen
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Gomes T., Martins L., Girão-Silva R., Tipper D., Pašić A., Vass B., Garrote L., Nunes U., Zachariasen M., Rak J.: Enhancing Availability for Critical Services// Guide to Disaster-Resilient Communication Networks/ : , 2020, s.557-581
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-44685-7
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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