A Network Planning and Management Tool for mitigating the impact of spatially correlated failures in infrastructure networks

Das, Arun; Sen, Arunabha; Qiao, Chunming; Ghani, Nasir; Mitton, Nathalie

doi:10.1109/drcn.2016.7470837

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Disaster risk constraints may be reflected as service disruptions caused by natural disasters or intentional attacks. Tools for network planning and management [80] and network optimization [81] are required to mitigate the impact of disaster based failures, and more generally of spatially correlated failures in optical networks. A Geographic Information System (GIS) based fiber tool provides risk-aware new fiber network planning and the seamless management of intact infrastructures [82].…”

Section: Disaster-aware Network Survivabilitymentioning

confidence: 99%

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

et al. 2018

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Network survivability endeavors to ensure the uninterrupted provisioning of services by the network operators in case of a disaster event. Studies and news reports show that network failures caused by physical attacks and natural disasters have significant impacts on the optical networks. Such network failures may lead to a section of a network to cease to function, resulting in non-availability of services and may increase the congestion within the rest of the network. Therefore, fault tolerant and disaster-resilient optical networks have grasped the attention of the research community and have been a critical concern in network studies during the last decade. Several studies on protection and restoration techniques have been conducted to address the network component failures. This study reviews related previous research studies to critically discuss the issues regarding protection, restoration, cascading failures, disaster-based failures, and congestion-aware routing. We have also focused on the problem of simultaneous cascading failures (which may disturb the data traffic within a layer or disrupt the services at upper layers) along with their mitigating techniques, and disaster-aware network survivability. Since traffic floods and network congestion are pertinent problems, they have therefore been discussed in a separate section. In the end, we have highlighted some open issues in the disaster-resilient network survivability for research challenges and discussed them along with their possible solutions.

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Section: Disaster-aware Network Survivabilitymentioning

confidence: 99%

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

et al. 2018

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“…When a disaster occurs, the typical assumption is that all network elements covered by the disaster are shut down. It is then important to minimize the disaster impact outside the disaster area (the pre-disaster problem) and network planning and management tools, as in [2], are important for mitigating the impact of disasters, and more generally of spatially correlated failures [3]. The network preparedness to natural disasters can be improved through path geodiversity [4], i.e., to take into consideration the geographical diversity of the network topology when making routing decisions.…”

Section: Introductionmentioning

confidence: 99%

The Minimum Cost D-Geodiverse Anycast Routing with Optimal Selection of Anycast Nodes

Sousa

Santos

2019

2019 15th International Conference on the Design of Reliable Communication Networks (DRCN)

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Consider a geographical network with associated link costs. In anycast routing, network nodes are partitioned into two sets-the source nodes and the anycast (destination) nodes-and the traffic of each source node is routed towards the anycast node providing the minimum routing cost path. By considering a given geographical distance parameter D, we define an anycast routing solution as D-geodiverse when for each source node there are two routing paths, each one towards a different anycast node, such that the geographical distance between the two paths is at least D. Such a solution has the property that any disaster with a coverage diameter below D affecting one routing path (but without involving neither the source node nor its entire set of outgoing links) cannot affect the other path, enhancing in this way the network robustness to natural disasters. The selection of the anycast nodes has an impact both on the feasibility and cost of a Dgeodiverse anycast routing solution. Therefore, for a desired number of anycast nodes R, we define the minimum cost Dgeodiverse anycast problem (MCD-GAP) aiming to identify a set of R anycast nodes that obtain a minimum cost routing solution. The problem is defined based on integer linear programming and is extended to consider the existence of vulnerability regions in the network, i.e., by imposing the geographical distance D only between network elements belonging to the same region. We present computational results showing the tradeoff between D and R in the optimal solutions obtained with and without vulnerability regions.

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“…In this context, a tool like RAPTOR can be used by utility companies and city planners to quickly perform (i) root cause analysis of failure, and (ii) forecast fault evolution, to direct repairs and maintenance towards specific network components and restrict fault propagation. It may be noted that the preliminary work performed in developing RAPTOR was presented in [12].…”

Section: Introductionmentioning

confidence: 99%

Raptor: a network tool for mitigating the impact of spatially correlated failures in infrastructure networks

et al. 2017

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Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to geographic regions). Network operators require new tools to mitigate the impact of such region based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed RAPTOR, an advanced Network Planning and Management Tool that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation and simulation capabilities for network planners. Future extensions of the tool currently being worked upon not only expand the tool's capabilities, but also extend these capabilities to heterogeneous interdependent networks such as communication, power, water and satellite networks.

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A Network Planning and Management Tool for mitigating the impact of spatially correlated failures in infrastructure networks

Cited by 5 publications

References 22 publications

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

The Minimum Cost D-Geodiverse Anycast Routing with Optimal Selection of Anycast Nodes

Raptor: a network tool for mitigating the impact of spatially correlated failures in infrastructure networks

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