Enhancing network service survivability in large-scale failure scenarios

Izaddoost, Alireza; Heydari, Shahram Shah

doi:10.1109/jcn.2014.000092

Cited by 19 publications

(5 citation statements)

References 26 publications

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“…In a study by Izaddoost and Heydari [30], a novel approach was proposed to enhance network service survivability during large-scale failure scenarios. They introduced a backup path selection algorithm to improve network survivability under various failure scenarios and validated it through simulation experiments, demonstrating its effectiveness in maintaining network connectivity.…”

Section: Related Workmentioning

confidence: 99%

“…This approach uses various network topologies and earthquake and seismic data for Europe and the USA, with performance metrics including availability upgrade cost, intensity tolerance upgrade, average capacity allocated, and blocking probability. Izaddoost et al [30] employed a preventive protection approach using different network topologies for evaluation. Their performance metrics include disrupted connections and network disruption time.…”

Section: Comparison To Related Work Approachesmentioning

confidence: 99%

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ENRN: A System for Evaluating Network Resilience against Natural Disasters

Alenazi

2023

Mathematics

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The frequency and severity of natural disasters is surging, posing an urgent need for robust communication network infrastructure that is capable of withstanding these events. In this paper, we present a groundbreaking graph-theoretic system designed to evaluate and enhance network resilience in the face of natural disasters. Our solution harnesses the power of topological robustness metrics, integrating real-time weather data, geographic information, detailed network topology data, advanced resilience algorithms, and continuous network monitoring. The proposed scheme considers four major real-world U.S.-based network providers and evaluates their physical topologies against two major hurricanes. Our novel framework quantifies the important characteristics of network infrastructure; for instance, AT&T is identified to have fared better against Hurricane Ivan (57.98 points) than Hurricane Katrina (39.17 points). We not only provide current insights into network infrastructure resilience, but also uncover valuable findings that shed light on the performance of backbone U.S. networks during hurricanes. Furthermore, our findings provide actionable insights to enrich the overall survivability and functionality of communication networks, mitigating the adverse impacts of natural disasters on communication systems and critical services in terms of improving network resiliency via adding additional nodes and link or rewiring.

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Section: Related Workmentioning

confidence: 99%

Section: Comparison To Related Work Approachesmentioning

confidence: 99%

ENRN: A System for Evaluating Network Resilience against Natural Disasters

Alenazi

2023

Mathematics

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“…Therefore, the solutions to improve the performance are defined between the non-ILP based heuristic and ILP based heuristic. Next, [42] studied the relationship between fragility of existing Internet and the notion of maximum flow reliability. The study focused on availability of connections with the existing simultaneous nodes and link failures and proposed path diversification metrics to instantly apply on the both node pairs in improving network resilience.…”

Section: Functionality Metricsmentioning

confidence: 99%

“…The probabilistic model is to determine the survivability of the network and prevent disruption effect. In [42] proposed a scheme to provide protection method from any impact of disaster, estimates the probability of failure, and reroute the traffic if the traffic has potential to fail. In [46] has proposed polynomial-time algorithms in order to detect all the spatially-close segments [47] or different fibers due to high risk in simultaneously failing of network connections.…”

Section: Functionality Metricsmentioning

confidence: 99%

Robustness metrics for optical networks

Zainiar

Iqbal

Supa’at

et al. 2020

IJEECS

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Telecommunication networks are vulnerable towards single or simultaneous nodes/links failures, which may lead to the disruption of network areas. The failures may cause performance degradation, reduced quality of services, reduced nodes/links survivability, stability, and reliability. Therefore, it is important to measure and enhance the network robustness, via the use of robustness metrics. This paper gives an overview of several robustness metrics that are commonly used for optical networks, from the structural, centrality and functional perspectives.

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“…Izadoost et al [67] focus on the problem of large-scale failures in backbone networks with a dynamic probabilistic model that not only considers the time-varying dynamics of regional disasters, but also takes into account the probabilistic nature of failures resulting from such events. The authors propose a novel approach in probabilistic large-scale failure scenarios, which aims to increase the network survivability level and mitigate the effects of a disaster (connections disruption).…”

Section: Spatio-temporal Disaster-aware Routingmentioning

confidence: 99%

A survey of strategies for communication networks to protect against large-scale natural disasters

Gomes

Tapolcai

Esposito

et al. 2016

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

109

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Abstract-Recent natural disasters have revealed that emergency networks presently cannot disseminate the necessary disaster information, making it difficult to deploy and coordinate relief operations. These disasters have reinforced the knowledge that telecommunication networks constitute a critical infrastructure of our society, and the urgency in establishing protection mechanisms against disaster-based disruptions.Hence, it is important to have emergency networks able to maintain sustainable communication in disaster areas. Moreover, the network architecture should be designed so that network connectivity is maintained among nodes outside of the impacted area, while ensuring that services for costumers not in the affected area suffer minimal impact.As a first step towards achieving disaster resilience, the RE-CODIS project was formed, and its Working Group 1 members conducted a comprehensive literature survey on "strategies for communication networks to protect against large-scale natural disasters," which is summarized in this article.Index Terms-vulnerability, end-to-end resilience, natural disasters, disaster-based disruptions.

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Enhancing network service survivability in large-scale failure scenarios

Cited by 19 publications

References 26 publications

ENRN: A System for Evaluating Network Resilience against Natural Disasters

ENRN: A System for Evaluating Network Resilience against Natural Disasters

Robustness metrics for optical networks

A survey of strategies for communication networks to protect against large-scale natural disasters

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