Supporting differentiated resilience classes in multilayer networks

Alashaikh, Abdulaziz; Tipper, David; Gomes, Teresa

doi:10.1109/drcn.2016.7470832

Cited by 17 publications

(16 citation statements)

References 23 publications

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“…The requirements for critical services (eg. emergency calls, smart grid communications, financial transactions) are especially relevant, as a high end-to-end availability [15,16,17] must be guaranteed. The network must also be resilient so that when a disaster-based failure occurs, the impact outside the disaster area is minimal and the recovery of fully functional services is quickly achieved.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…If set K is not empty (lines [15][16][17][18][19], the algorithm proceeds by selecting one edge e (among the non-upgraded ones belonging to path pairs in R) with function select-edge (line 16).…”

Section: Mucag Algorithm Descriptionmentioning

confidence: 99%

“…A C C E P T E D ACCEPTED MANUSCRIPT Table 6: No. of upgraded edges (#ê), cost and CPU time (in seconds) for achieving Λ = 0.99999 between some node pairs (all the pairs with source or destination Berlin (4), Frankfurt (17) due to the heuristic nature of the resolution approaches.…”

Section: A N U S C R I P Tmentioning

confidence: 99%

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Minimization of the network availability upgrade cost with geodiverse routing for disaster resilience

Sousa

Gomes

Girão‐Silva

et al. 2019

Optical Switching and Networking

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Telecommunication networks are a critical infrastructure of our society. Wide area backbone communication networks are based on optical networks, where each fiber has a very large capacity. These networks must offer high end-to-end availability and a high resilience to large-scale disasters. Routing with geodiversity can mitigate the impact of disasters but will result in longer paths, making it difficult to achieve the availability levels required by critical services. In this paper, we consider a given core optical network such that the current availability and the cost of upgrading it to a higher value are known for each network link (or edge). Then, the problem of selecting a set of edges to be upgraded at a minimum cost, while guaranteeing desired values of end-toend availability and geodiversity, is considered and formulated as an arc based integer non-linear programming model. The non-linear constraints of the model are approximated and linearized, resulting in a new ILP based heuristic. A filtering procedure is proposed for decreasing (if possible) the cost and the number of upgraded edges of the solutions obtained by previously proposed greedy heuristics and also by the ILP based heuristic. The relative performance of the heuristics is evaluated using different geodiverse distances and end-to-end availability values in two reference core optical networks.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Mucag Algorithm Descriptionmentioning

confidence: 99%

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Minimization of the network availability upgrade cost with geodiverse routing for disaster resilience

Sousa

Gomes

Girão‐Silva

et al. 2019

Optical Switching and Networking

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“…The spine concept allows the creation of heterogeneous availability subnetworks at the physical layer, laying the foundation for service differentiation at upper layers. In [39] it is used to provide differentiated services over multilayer communications networks. Multiple logical networks with diverse availability levels are defined via a cross-layer mapping.…”

Section: A Structural Network Resiliencementioning

confidence: 99%

“…Multiple logical networks with diverse availability levels are defined via a cross-layer mapping. Results in [39] showed the proposed model can create a wider range of availability levels compared to existing techniques, although in some cases the spine requires slightly more resources.…”

Section: A Structural Network Resiliencementioning

confidence: 99%

Disaster-resilient communication networks: Principles and best practices

Mauthe

Hutchison

Çetinkaya

et al. 2016

2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM)

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Communication network failures that are caused by disasters, such as hurricanes, earthquakes and cyber-attacks, can have significant economic and societal impact. To address this problem, the research community has been investigating approaches to network resilience for several years. However, aside from well-established techniques, many of these solutions have not found their way into operational environments. The RECODIS COST Action aims to address this shortcoming by providing solutions that are tailored to specific types of challenge, whilst considering the wider socioeconomic issues that are associated with their deployment. To support this goal, in this paper, we present an overview of some of the foundational related work on network resilience, covering topics such as measuring resilience and resilient network architectures, amongst others. In addition, we provide insights into current operational best practices for ensuring the resilience of carrier-grade communication networks. The aim of this paper is to support the goals of the EU COST Action RECODIS and the wider research community in engineering more resilient communication networks.

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