A Survey on Network Resiliency Methodologies against Weather-based Disruptions

Tornatore, Massimo; Andre, Joao; Babarczi, Peter; Braun, Torsten; Følstad, Eirik; Heegaard, Poul; Hmaity, Ali; Furdek, Marija; Jorge, Luisa; Kmiecik, Wojciech; Mas Machuca, Carmen; Martins, Lucia; Medeiros, Carmo; Musumeci, Francesco; Pasi, Alija; Rakk, Jacek; Simpson, Steven; Travanca, Rui; Voyiatzis, Artemios (September 2016). A Survey on Network Resiliency Methodologies against Weather-based Disruptions. In: 8th International Workshop on Resilient Networks Design and Modeling (RNDM 2016). Halmstad, Sweden. 13.-15.09.2016. 10.1109/RNDM.2016.7608264

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Due to the increasing dependence on network services of our society, research has recently been concentrating on enhancing traditional protection strategies to withstand large scale failures, as in case of disaster events. The recently-formed EU-funded RECODIS project aims at coordinating and fostering research collaboration in Europe on disaster resiliency in communication networks. In particular, the Working Group (WG) 2 of the RECODIS project focuses on developing new network resiliency strategies to survive weather-based disruptions. As a first step, WG2 members have conducted a comprehensive literature survey on existing studies on this topic. This paper classifies and summarizes the most relevant studies collected by WG2 members in this first phase of the project. While the majority of studies regarding weather-based disruptions deals with wireless network (as wireless channel is directly affected by weather conditions), in this survey we cover also disaster resiliency approaches designed for wired network if they leverage network reconfiguration based on disaster “alerts”, considering that many weather-based disruptions grant an “alert” thanks to weather forecast.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

30 Sep 2016 11:07

Last Modified:

08 Aug 2017 07:38

Publisher DOI:

10.1109/RNDM.2016.7608264

BORIS DOI:

10.7892/boris.89030

URI:

https://boris.unibe.ch/id/eprint/89030

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