Dual-Failure Availability Analysis of Span-Restorable Mesh Networks

Wang, Wenjing; Doucette, John

doi:10.1007/s10922-016-9377-9

Cited by 12 publications

(2 citation statements)

References 23 publications

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“…The specific dual‐failure restorability is, therefore, defined by the resulting working portion of the network after the occurrence of that specific dual failure. This is denoted by R 2 ( i , j ) and it can be measured by (12) , where N ( i , j ) is the NWC due to the dual failure occurring in nodes i and j ; w i is the number of working units on span i , and w j is the number of working units on span j .

R_{2} (i, j) = 1 - \frac{N (i, j)}{w_{i} + w_{j}} .

If we consider all the possible dual‐failure scenarios and compare those with the resulting working units for all these cases, as done in the work by , then the network‐wide average dual‐failure restorability, denoted by R 2 , can be calculated by (13).…”

Section: Network Availability and Restorability Analysismentioning

confidence: 99%

Dual‐failure restorability analysis of span‐restorable meta‐mesh networks

2020

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The span‐restorable meta‐mesh model was previously designed as a cutting‐edge technique that enhanced the spare capacity efficiency in low average nodal degree networks. In this technique, lightpaths that fully traverse chains of degree‐2 nodes are provided with a logical express bypass span allowing a distinction between the internal and external working flow capacity that transit the chain. In the event of span failure, lightpaths which would normally traverse the chain in its entirety are allowed to fail back to its anchor nodes such that only the intrachain flow requires allocation of spare capacity. Previous work on the meta‐mesh design considered only single failure restorability. The work herein analyzes dual span failure situations by developing two new integer linear programming models. The first model provides the minimum total cost of designing a meta‐mesh network capable of withstanding dual span failure scenarios. The second model offers a maximization of the dual failure restorability by minimizing the number of nonrestored working capacities with a given limit of total spare capacity investment. Experiments are performed on six master test‐case networks of various topologies and scales.

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R_{2} (i, j) = 1 - \frac{N (i, j)}{w_{i} + w_{j}} .

Section: Network Availability and Restorability Analysismentioning

confidence: 99%

Dual‐failure restorability analysis of span‐restorable meta‐mesh networks

2020

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“…Dual link failure recoverability is proposed in [7]. Protection schemes for two link failure are designed in [8] [9] [10] where the link disjoint alternate routes are available. All these schemes provide guaranteed protection [11].…”

Section: Introductionmentioning

confidence: 99%

A Proactive Link Based Fast Recovery Strategy for Survival Elastic Optical Networks

Kumar,

Sharma

2020

IJEAT

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In this paper, we proposed a link based fast connection recovery strategy. A backup path either reserved in advance or searched dynamically after the failure occurred in the network. Both these recovery strategy required large backup capacity. We analyse three network parameters such as recovery time (RT), bandwidth blocking probability (BBP), and network capacity utilization ratio (NCU) for randomly generated source to destination request for three topologies that is COST239, ARPANET and NSFNET and compare the results for shared link protection (SLP), dedicated link protection (DLP), and our proposed link protection (PLP) scheme. Our proposed scheme shows the minimum RT compared to other two strategies.

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Optimized design and availability analysis of large-scale shared backup path protected networks

Wang

Doucette

2017

Telecommun Syst

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Dual-Failure Availability Analysis of Span-Restorable Mesh Networks

Cited by 12 publications

References 23 publications

Dual‐failure restorability analysis of span‐restorable meta‐mesh networks

Dual‐failure restorability analysis of span‐restorable meta‐mesh networks

A Proactive Link Based Fast Recovery Strategy for Survival Elastic Optical Networks

Optimized design and availability analysis of large-scale shared backup path protected networks

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