Relevant bibliographies by topics / Network resilience

Academic literature on the topic 'Network resilience'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Network resilience"

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Wang, Liang, Xiaolong Xue, and Xun Zhou. "A New Approach for Measuring the Resilience of Transport Infrastructure Networks." Complexity 2020 (August 17, 2020): 1–16. http://dx.doi.org/10.1155/2020/7952309.

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Resilience is an important property of transport infrastructure networks. Resilient transport infrastructure networks can retain the performance in case of disturbances and quickly recover to the original performance level after the disturbances. This study proposes a new approach that can measure the resilience of transport infrastructure networks. The new approach gives a unified conceptual framework for measuring the resilience of transport infrastructure networks. A network simulation-based method is used to analyze the influential factors of transport infrastructure network resilience. A new measuring method is developed based on network diversity characteristic to quantitatively measure the system resilience and node resilience of transport infrastructure networks. China railway and air transport networks are selected as a case study to applicability of new approach. This new approach provides strong supports for academic and industrial fields to measure, analyze, enhance, and optimize the resilience of transport infrastructure networks.
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Shi, Jialu, Xuan Wang, Chengxin Wang, Haimeng Liu, Yi Miao, and Fuyi Ci. "Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective." Sustainability 14, no. 13 (June 30, 2022): 8005. http://dx.doi.org/10.3390/su14138005.

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Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience using social network analysis and quadratic assignment procedure. The results were as follows: (1) regional difference was biggest in GBA’s economic network strength while smallest in its transportation network strength, and the east bank of the Pearl River represented an extremely resilient connection axis; (2) the structures of network resilience and its subsystems were heterogeneous, and the connection paths of network resilience were more heterogeneous and diversified than those of the subsystems; (3) network resilience presented an obvious core–edge structure, and the spatial correlation and spillover effect between blocks were substantial; and (4) geographical proximity, as well as differences in economic development, urban agglomeration, and market development, had a significant impact on network resilience. This study provides a more systematic approach to evaluate the regional network resilience, and the results provide references for the construction of bay areas in developing countries.
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Meng, Yangyang, Xiaofei Zhao, Jianzhong Liu, and Qingjie Qi. "Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network." Sustainability 15, no. 12 (June 8, 2023): 9309. http://dx.doi.org/10.3390/su15129309.

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With the flourishing development of the urban metro system, the topology of important nodes changes as the metro network structure evolves further. The identical important node has distinct impacts on various metro networks’ resilience. At present, the dynamic influences of important station evolution on the resilience of metro networks remain to be studied further. Taking Shenzhen Metro Network (SZMN) as an example, the dynamic influences of the structure evolution of important nodes on the resilience of the metro network were investigated in this study. Firstly, the dynamic evolution characteristics of complex network topology and node centralities in metro systems were mined. Then, combined with the node interruption simulation and the resilience loss triangle theory, the resilience levels of distinct metro networks facing the failure of the same critical node were statistically assessed. Additionally, suggestions for optimal network recovery strategies for diverse cases were made. Finally, based on the evaluation results of node importance and network resilience, the dynamic influences of the topological evolution of important nodes on the resilience of metro networks were thoroughly discussed. The study’s findings help us comprehend the metro network’s development features better and can assist the metro management department in making knowledgeable decisions and taking appropriate action in an emergency. This study has theoretical and practical significance for the resilient operation and sustainable planning of urban metro network systems.
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Liu, Huifang, Xiaoyi Shi, Pengwei Yuan, and Xiaoqing Dong. "Study on the Evolution of Multiple Network Resilience of Urban Agglomerations in the Yellow River Basin." Sustainability 14, no. 18 (September 6, 2022): 11174. http://dx.doi.org/10.3390/su141811174.

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To promote the healthy development of urban agglomerations in the Yellow River Basin, we construct a multi-city network-resilience evolution model based on social network theory, combined with QAP regression analysis and analyze the evolution of multiple-city network resilience in the Yellow River Basin in 2014 and 2021 by screening and drawing on indicators in social networks. The results show that (i) only the financial linkage network and the information exchange network are resilient networks, and the magnitude of the evolution of resilience level in the Yellow River basin is finance > information > innovation > transportation. (ii) Except for the increase in the hierarchy of transportation networks, other networks show the trend of flattening. (iii) The matching of the information exchange network shows a shift between heterogeneity and homogeneity, and the transmission and aggregation of the network fluctuate. Based on the study’s findings, a path to improve the resilience level of the Yellow River Basin urban agglomeration by consolidating the status of core cities, optimizing the structure of multiple city networks, and optimizing the flow of factors is proposed.
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Mendoza, Nancy, and Christine Fruhauf. "GRANDPARENT CAREGIVERS: THE RELATION BETWEEN SOCIAL NETWORKS AND RESILIENCE." Innovation in Aging 3, Supplement_1 (November 2019): S678—S679. http://dx.doi.org/10.1093/geroni/igz038.2507.

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Abstract Grandparents raising grandchildren experience multiple challenges as they take on the unexpected role of caring for their grandchildren, which usually occurs under stressful and stigmatizing conditions. Many of the challenges grandparents experience are well documented in the research. Less attention is given to understanding how a grandparent caregiver’s social network changes when s/he becomes a caregiver and how her/his social network influences resilience. Thus, the purpose of this study was to use social network analysis (SNA) to examine the relation between social networks and resilience in grandparents raising their grandchildren. This was done by conducting face-to-face interviews with twenty grandparents raising grandchildren after they completed a survey measuring social support, social isolation, and resilience. The interview protocol included questions related to participants’ social network, social support, and services. Prior to the interviews, using data from the surveys participants were identified as representing one of four resilience quadrants: resilient, maladaptive, competent, and vulnerable. Qualitative analysis of grandparent’s social networks across groups indicated resilient grandparent caregivers’ networks were structured in a way that provided more opportunities for the inflow of new information and resources. Whereas the proportion of professionals in maladaptive grandparent caregivers’ networks tended to be less than for other networks. This could suggest that for grandparent caregivers, having professionals in one’s network can be beneficial. Findings from the current study provide opportunities for future research such as identifying ways to help grandparent caregivers structure their social networks to promote resilience.
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Liu, Xueming, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H. Eugene Stanley, and Jianxi Gao. "Network resilience." Physics Reports 971 (August 2022): 1–108. http://dx.doi.org/10.1016/j.physrep.2022.04.002.

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Colbourn, Charles J. "Network Resilience." SIAM Journal on Algebraic Discrete Methods 8, no. 3 (July 1987): 404–9. http://dx.doi.org/10.1137/0608033.

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Podobnik, B., D. Horvatic, T. Lipic, M. Perc, J. M. Buldú, and H. E. Stanley. "The cost of attack in competing networks." Journal of The Royal Society Interface 12, no. 112 (November 2015): 20150770. http://dx.doi.org/10.1098/rsif.2015.0770.

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Real-world attacks can be interpreted as the result of competitive interactions between networks, ranging from predator–prey networks to networks of countries under economic sanctions. Although the purpose of an attack is to damage a target network, it also curtails the ability of the attacker, which must choose the duration and magnitude of an attack to avoid negative impacts on its own functioning. Nevertheless, despite the large number of studies on interconnected networks, the consequences of initiating an attack have never been studied. Here, we address this issue by introducing a model of network competition where a resilient network is willing to partially weaken its own resilience in order to more severely damage a less resilient competitor. The attacking network can take over the competitor's nodes after their long inactivity. However, owing to a feedback mechanism the takeovers weaken the resilience of the attacking network. We define a conservation law that relates the feedback mechanism to the resilience dynamics for two competing networks. Within this formalism, we determine the cost and optimal duration of an attack, allowing a network to evaluate the risk of initiating hostilities.
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Guo, Jiuxia, Yang Li, Zongxin Yang, and Xinping Zhu. "Quantitative method for resilience assessment framework of airport network during COVID-19." PLOS ONE 16, no. 12 (December 3, 2021): e0260940. http://dx.doi.org/10.1371/journal.pone.0260940.

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The resilience and vulnerability of airport networks are significant challenges during the COVID-19 global pandemic. Previous studies considered node failure of networks under natural disasters and extreme weather. Herein, we propose a complex network methodology combined with data-driven to assess the resilience of airport networks toward global-scale disturbance using the Chinese airport network (CAN) and the European airport network (EAN) as a case study. The assessment framework includes vulnerability and resilience analyses from the network- and node-level perspectives. Subsequently, we apply the framework to analyze the airport networks in China and Europe. Specifically, real air traffic data for 232 airports in China and 82 airports in Europe are selected to form the CAN and EAN, respectively. The complex network analysis reveals that the CAN and the EAN are scale-free small-world networks, that are resilient to random attacks. However, the connectivity and vulnerability of the CAN are inferior to those of the EAN. In addition, we select the passenger throughput from the top-50 airports in China and Europe to perform a comparative analysis. By comparing the resilience evaluation of individual airports, we discovered that the factors of resilience assessment of an airport network for global disturbance considers the network metrics and the effect of government policy in actual operations. Additionally, this study also proves that a country’s emergency response-ability towards the COVID-19 has a significantly affectes the recovery of its airport network.
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Huang, Lei, Haifeng Huang, and Ying Wang. "Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network." Applied Sciences 13, no. 15 (July 31, 2023): 8835. http://dx.doi.org/10.3390/app13158835.

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With the continuous development of public transportation, the impact of unexpected events on the operation of bus networks has become increasingly severe due to the growing demand for public transportation and passenger volume. To accurately assess the impact of unexpected events on the operation of bus networks and scientifically evaluate their resilience, this paper proposes a framework for analyzing the resilience of bus networks. With the aim of providing scientific evidence to enhance the reliability of public transportation networks, this framework can be used to determine the resilience of bus networks to unexpected events. The main contributions of this framework include three aspects: 1. Construction of the CRITIC–entropy weighting model for screening and calculating key indicators of the resilience of the bus network; 2. Use of resilience cycle theory to construct a model for analyzing the resilience of bus routes, and design a set of resilience quantification factors to calculate the resilience of bus routes; 3. Use of complex network theory to construct a model for analyzing the resilience of the bus network, by taking the bus route resilience obtained in the second step as the edge weight to calculate the resilience of the bus network. This paper takes the Beijing public transit system as an example and uses real data to verify the accuracy, scientificity, and feasibility of the proposed framework for analyzing the resilience of public transit networks to sudden events. The resilience analysis framework constructed in this paper has improved the existing research on transportation network resilience in theoretical aspects. Furthermore, the results outputted by this framework can provide a decision-making basis for network adjustment and disaster recovery for the management departments of public transportation networks in practical applications.
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Dissertations / Theses on the topic "Network resilience"

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Ban, Buri. "Network Resilience under Dynamic Changes." Thesis, University of Louisiana at Lafayette, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10981286.

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The main purpose of this research is to discuss scenarios when some common dynamic changes happen to Wireless Sensor Networks/Autonomous Networked Robots, what the negative effect will be, along with our proposed strategies to keep networks resilient to such influence because communication between sensors/robots is fundamental to cooperation, hence the central role of the network. The first part of this dissertation considers scenarios where dynamic changes happen to static wireless sensor network, causing sensors in some sub-areas to not function anymore. Our work explores two resilient routing strategies to maintain communication links between any two sensors under such situations. Further, the second part of this dissertation brings mobility into wireless sensor networks. Specifically, we consider a more complex scenario where a group of Autonomous Networked Robots are given orders to march from a current field of interest to new one. And our work explores a resilient redeployment strategy that tries to keeps original communication links as many as possible. The dynamic changes and network models in this research are very common in reality; therefore, this research has much practical significance.

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Oliveira, Rodrigo Ruas. "Toward cost-efficient Dos-resilient virtual networks with ORE : opportunistic resilience embedding." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/71908.

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O atual sucesso da Internet vem inibindo a disseminação de novas arquiteturas e protocolos de rede. Especificamente, qualquer modificação no núcleo da rede requer comum acordo entre diversas partes. Face a isso, a Virtualização de Redes vem sendo proposta como um atributo diversificador para a Internet. Tal paradigma promove o desenvolvimento de novas arquiteturas e protocolos por meio da criação de múltiplas redes virtuais sobrepostas em um mesmo substrato físico. Adicionalmente, aplicações executando sobre uma mesma rede física podem ser isoladas mutuamente, propiciando a independência funcional entre as mesmas. Uma de suas mais promissoras vantagens é a capacidade de limitar o escopo de ataques, através da organização de uma infraestrutura em múltiplas redes virtuais, isolando o tráfego das mesmas e impedindo interferências. Contudo, roteadores e enlaces virtuais permanecem vulneráveis a ataques e falhas na rede física subjacente. Particularmente, caso determinado enlace do substrato seja comprometido, todos os enlaces virtuais sobrepostos (ou seja, alocados neste) serão afetados. Para lidar com esse problema, a literatura propõe dois tipos de estratégias: as que reservam recursos adicionais do substrato como sobressalentes, protegendo contra disrupções; e as que utilizam migração em tempo real para realocar recursos virtuais comprometidos. Ambas estratégias acarretam compromissos: o uso de recursos sobressalentes tende a tornar-se custoso ao provedor de infraestrutura, enquanto a migração de recursos demanda um período de convergência e pode deixar as redes virtuais inoperantes durante o mesmo. Esta dissertação apresenta ORE (Opportunistic Resilience Embedding – Mapeamento com Resiliência Oportunística), uma nova abordagem de mapeamento de redes para proteger enlaces virtuais contra disrupções no substrato físico. ORE é composto por duas estratégias: uma proativa, na qual enlaces virtuais são alocados em múltiplos caminhos para mitigar o impacto de uma disrupção; e uma reativa, a qual tenta recuperar, parcial ou integralmente, a capacidade perdida nos enlaces virtuais afetados. Ambas são modeladas como problemas de otimização. Ademais, como o mapeamento de redes virtuais é NP-Difícil, ORE faz uso de uma meta-heurística baseada em Simulated Annealing para resolver o problema de forma eficiente. Resultados numéricos mostram que ORE pode prover resiliência a disrupções por um custo mais baixo.
Recently, the Internet’s success has prevented the dissemination of novel networking architectures and protocols. Specifically, any modification to the core of the network requires agreement among many different parties. To address this situation, Network Virtualization has been proposed as a diversifying attribute for the Internet. This paradigm promotes the development of new architectures and protocols by enabling the creation of multiple virtual networks on top of a same physical substrate. In addition, applications running over the same physical network can be isolated from each other, thus allowing them to coexist independently. One of the main advantages of this paradigm is the use of isolation to limit the scope of attacks. This can be achieved by creating different, isolated virtual networks for each task, so traffic from one virtual network does not interfere with the others. However, routers and links are still vulnerable to attacks and failures on the underlying network. Particularly, should a physical link be compromised, all embedded virtual links will be affected. Previous work tackled this problem with two main strategies: using backup resources to protect against disruptions; or live migration to relocate a compromised virtual resource. Both strategies have drawbacks: backup resources tend to be expensive for the infrastructure provider, while live migration may leave virtual networks inoperable during the recovery period. This dissertation presents ORE (Opportunistic Resilience Embedding), a novel embedding approach for protecting virtual links against substrate network disruptions. ORE’s design is two-folded: while a proactive strategy embeds virtual links into multiple substrate paths in order to mitigate the initial impact of a disruption, a reactive one attempts to recover any capacity affected by an underlying disruption. Both strategies are modeled as optimization problems. Additionally, since the embedding problem is NP-Hard, ORE uses a Simulated Annealing-based meta-heuristic to solve it efficiently. Numerical results show that ORE can provide resilience to disruptions at a lower cost.
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Holovatch, T. "Complex transportation networks : resilience, modelling and optimisation." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/eafefd84-ff08-43cf-a544-597ee5e63237/1.

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Klaus, Christian. "Network design for reliability and resilience to attack." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/41406.

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Approved for public release; distribution is unlimited.
We define and solve two network-design problems. In the first, (1) a defender uses limited resources to select a portfolio of paths or design a sub-network; (2) an attacker then uses limited attack resources to destroy network arcs, and then (3) the defender operates the damaged network optimally by ending a shortest path. The solution identifies a network design that minimizes post-attack path length. We show how the tri-level problem is equivalent to a single-level mixed integer program (MIP) with an exponential number of rows and columns, and solve that MIP using simultaneous row and column generation. Methods extend to network operations denied through general now constructs. The second problem considers a stochastic logistics network where arcs are present randomly and independently. Shipping from a source to a destination may be delayed until a path connecting the two is available. In the presence of storage capacity, cargo can be shipped partway. The problem's solution identifies the storage locations that minimize the cargo's waiting time for shipment. We develop and demonstrate practical methods to solve this #P-complete problem on a model instance derived from a Department of Defense humanitarian shipping network.
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Li, Yuhong. "Disruption Information, Network Topology and Supply Chain Resilience." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78352.

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This dissertation consists of three essays studying three closely related aspects of supply chain resilience. The first essay is "Value of Supply Disruption Information and Information Accuracy", in which we examine the factors that influence the value of supply disruption information, investigate how information accuracy influences this value, and provide managerial suggestions to practitioners. The study is motivated by the fact that fully accurate disruption information may be difficult and costly to obtain and inaccurate disruption information can decrease the financial benefit of prior knowledge and even lead to negative performance. We perform the analysis by adopting a newsvendor model. The results show that information accuracy, specifically information bias and information variance, plays an important role in determining the value of disruption information. However, this influence varies at different levels of disruption severity and resilience capacity. The second essay is "Quantifying Supply Chain Resilience: A Dynamic Approach", in which we provide a new type of quantitative framework for assessing network resilience. This framework includes three basic elements: robustness, recoverability and resilience, which can be assessed with respect to different performance measures. Then we present a comprehensive analysis on how network structure and other parameters influence these different elements. The results of this analysis clearly show that both researchers and practitioners should be aware of the possible tradeoffs among different aspects of supply chain resilience. The ability of the framework to support better decision making is then illustrated through a systemic analysis based on a real supply chain network. The third essay is "Network Characteristics and Supply Chain Disruption Resilience", in which we investigate the relationships between network characteristics and supply chain resilience. In this work, we first prove that investigating network characteristics can lead to a better understanding of supply chain resilience behaviors. Later we select key characteristics that play a critical role in determining network resilience. We then construct the regression and decision tree models of different supply chain resilience measures, which can be used to estimate supply chain network resilience given the key influential characteristics. Finally, we conduct a case study to examine the estimation accuracy.
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Dunn, Sarah, and Sean M. Wilkinson. "Increasing the resilience of air traffic networks using a network graph theory approach." Elsevier, 2015. https://publish.fid-move.qucosa.de/id/qucosa%3A72825.

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Air traffic networks are essential to today’s global society. They are the fastest means of transporting physical goods and people and are a major contributor to the globalisation of the world’s economy. This increasing reliance requires these networks to have high resilience; however, previous events show that they can be susceptible to natural hazards. We assess two strategies to improve the resilience of air traffic networks and show an adaptive reconfiguration strategy is superior to a permanent re-routing solution. We find that, if traffic networks have fixed air routes, the geographical location of airports leaves them vulnerable to spatial hazard.
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Memarian, Neda. "Resilience of Water Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Resilience is widely interpreted as the capacity of a system to resist (preparation phase), absorb and withstand (responding phase), and rapidly recover from (restoration phase) exceptional conditions. During this study, a mixed variety of calculations were assessed in order to find the best solution for determination of resilience and reliability of a simple network. Then, Todini’s formula and failure index was applied to estimate reliability of system in different scenarios as constant demands in period of 24 hours, constant demands in period of 72 hours when tank will be empty (failure of tank), variable demands in period of 24 hours. At first hydraulic simulation of those scenarios was done by EPANET and validated by MATLAB-TOOLKIT. Then, Resilience index (RI), Failure Index (FI) and reliability (R) of system were measured. Finally, an optimization procedure was done to make a water distribution network with highest resilience and lowest failure probability. All these procedures have been applied on a real network as WDS of Modena. It concluded that this method can be used for every water system without considering the type of failure. As a result, first scenario has a constant decreased and increased trend of RI and FI respectively because of diminishing of water level in tank. During second scenario, there is significant change after the tank will be empty (or it is broke). Third scenario is more like a real network with variable demand during a day. It was concluded that there is a minimum resilience parameter during day when a peak time of water demand expected. It can be justified that the reservoir and pump system had to sustain more pressure to satisfy the demands of junctions. Maximum resilience is related to night during a day with less demands and providing water by tank to other junctions. This modelling could be useful to optimize the dimensions and features of instruments to increase availability and reliability of system.
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Lean, Kirstin. "Creating family resilience?" Thesis, University of Exeter, 2012. http://hdl.handle.net/10036/3395.

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The balance between family support and child protection services is continuously challenged by high-profile cases. These highlight shortcomings both of the UK system and of research on the effectiveness of child maltreatment interventions (Munro, 2011). One such intervention is the Resolutions Approach to ‘denied’ child abuse (Turnell and Essex, 2006) – a systemic approach which creates a support network including extended family, friends, community members and professionals. There is, however, only limited research analysing the supporters’ experience of this intervention. In the present study five semi-structured group interviews were conducted in order to investigate how the family support network members made sense of their participation in Resolutions. Through a thematic analysis three related themes: returning hope; building safety and trusting a professional were identified. Additionally, special attention was paid to processes linked to the creation of family resilience (Walsh, 2003). Based on two contrasting case studies the potential creation of family resilience through Resolutions was discussed and clinical recommendations for creating family resilience within support networks were outlined.
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Ganguly, Amlan. "Transient error resilience in network-on-chip communication fabrics." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/A_Ganguly_043007.pdf.

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Yu, Yue. "Resilience Strategies for Network Challenge Detection, Identification and Remediation." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10277.

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The enormous growth of the Internet and its use in everyday life make it an attractive target for malicious users. As the network becomes more complex and sophisticated it becomes more vulnerable to attack. There is a pressing need for the future internet to be resilient, manageable and secure. Our research is on distributed challenge detection and is part of the EU Resumenet Project (Resilience and Survivability for Future Networking: Framework, Mechanisms and Experimental Evaluation). It aims to make networks more resilient to a wide range of challenges including malicious attacks, misconfiguration, faults, and operational overloads. Resilience means the ability of the network to provide an acceptable level of service in the face of significant challenges; it is a superset of commonly used definitions for survivability, dependability, and fault tolerance. Our proposed resilience strategy could detect a challenge situation by identifying an occurrence and impact in real time, then initiating appropriate remedial action. Action is autonomously taken to continue operations as much as possible and to mitigate the damage, and allowing an acceptable level of service to be maintained. The contribution of our work is the ability to mitigate a challenge as early as possible and rapidly detect its root cause. Also our proposed multi-stage policy based challenge detection system identifies both the existing and unforeseen challenges. This has been studied and demonstrated with an unknown worm attack. Our multi stage approach reduces the computation complexity compared to the traditional single stage, where one particular managed object is responsible for all the functions. The approach we propose in this thesis has the flexibility, scalability, adaptability, reproducibility and extensibility needed to assist in the identification and remediation of many future network challenges.
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Books on the topic "Network resilience"

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Gertsbakh, Ilya, and Yoseph Shpungin. Network Reliability and Resilience. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7.

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Gertsbakh, Ilya Borukhovich. Network Reliability and Resilience. Berlin, Heidelberg: Ilya Gertsbakh, 2011.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. Resilience of the National Electricity network. London: Stationery Office, 2004.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. HOC Paper 630 03/04 Resilience of the National Electricity Network. London: The Stationery Office, 2004.

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National Research Council (U.S.). Board on Earth Sciences and Resources, ed. Applications of social network analysis for building community disaster resilience: Workshop summary. Washington, D.C: National Academies Press, 2009.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. Resilience of the national electricity network: Third report of session 2003-04. London: Stationery Office, 2004.

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Lee-Nah, Hsu, United Nations Development Programme, UNDP South East Asia HIV and Development Programme., World Vision International, and ASEAN Secretariat, eds. Building regional HIV resilience along the ASEAN highway network: Workshop on 13-15 October 2003, Bangkok, Thailand. Bangkok: UNDP South East Asia HIV and Development Programme, 2004.

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Diefenderfer, Brian K. Network-level pavement evaluation of Virginia's interstate system using the falling weight deflectometer. Charlottesville, Va: Virginia Transportation Research Council, 2008.

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IFIP TC8 WG 8.6 International Working Conference (2006 Galway, Ireland). The transfer and diffusion of information technology for organizational resilience: IFIP TC8 WG 8.6 International Working Conference, June 7-10, 2006, Galway, Ireland. New York: Springer Science + Business Media LLC, 2006.

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Kott, Alexander, and Igor Linkov, eds. Cyber Resilience of Systems and Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77492-3.

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Book chapters on the topic "Network resilience"

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Whitehead, James, and Mike Peckham. "Resilience." In Network Leadership, 219–22. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003092582-32.

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Klau, Gunnar W., and René Weiskircher. "Robustness and Resilience." In Network Analysis, 417–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_15.

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Henshaw, Andrew D. "The Haqqani Network." In Understanding Insurgent Resilience, 63–107. Abingdon, Oxon; New York: Routledge, 2020. | Series: Cass military studies: Routledge, 2020. http://dx.doi.org/10.4324/9781003028116-5.

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Wosinska, Len, Didier Colle, Piet Demeester, Kostas Katrinis, Marko Lackovic, Ozren Lapcevic, Ilse Lievens, et al. "Network Resilience in Future Optical Networks." In Towards Digital Optical Networks, 253–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01524-3_10.

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Villalba-Diez, Javier, Ilaria De Sanctis, Joaquín Ordieres-Meré, and Filippo Emanuele Ciarapica. "Lean Structural Network Resilience." In Studies in Computational Intelligence, 609–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72150-7_49.

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Gertsbakh, Ilya, and Yoseph Shpungin. "Theory." In Network Reliability and Resilience, 1–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7_1.

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Gertsbakh, Ilya, and Yoseph Shpungin. "Applications." In Network Reliability and Resilience, 51–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7_2.

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Nicoletti, Bernardo. "Supply Network 5. Resilience and Agility." In Supply Network 5.0, 191–226. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22032-6_6.

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Qi, Junjian. "Interdependency Between Smart Grid and Transportation Network." In Smart Grid Resilience, 261–81. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29290-3_12.

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Qi, Junjian. "Self-Healing PMU Network Against Cyber Attacks." In Smart Grid Resilience, 125–50. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29290-3_6.

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Conference papers on the topic "Network resilience"

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Xu, Sugang, Kiyo Ishii, Noboru Yoshikane, Subhadeep Sahoo, Sifat Ferdousi, Masaki Shiraiwa, Yusuke Hirota, et al. "Enhancement of Network-Cloud Ecosystem Resilience with Openness Disaggregation and Cooperation [Invited]." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.m1g.4.

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We investigate the problem of enhancing the resilience of future optical network-cloud ecosystems. We introduce new solutions to build disaster-resilient single-and multi-entity network-cloud ecosystems with openness, disaggregation, and cooperation between networks and clouds.
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Jajszczyk, Andrzej. "Multilayer Network Resilience." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/ofc.2009.owy5.

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Beyer, Michael, Christoph Schorn, Tagir Fabarisov, Andrey Morozov, and Klaus Janschek. "Automated Hardening of Deep Neural Network Architectures." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-72891.

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Abstract Designing optimal neural network (NN) architectures is a difficult and time-consuming task, especially when error resiliency and hardware efficiency are considered simultaneously. In our paper, we extend neural architecture search (NAS) to also optimize a NN’s error resilience and hardware related metrics in addition to classification accuarcy. To this end, we consider the error sensitivity of a NN on the architecture-level during NAS and additionally incorporate checksums into the network as an external error detection mechanism. With an additional computational overhead as low as 17% for the discovered architectures, checksums are an efficient method to effectively enhance the error resilience of NNs. Furthermore, the results show that cell-based NN architectures are able to maintain their error resilience characteristics when transferred to other tasks.
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Capacci, Luca, and Fabio Biondini. "Effects of Structural Deterioration and Infrastructure Upgrading on the Life-cycle Seismic Resilience of Bridge Networks." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0340.

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<p>The life-cycle seismic resilience of aging bridges and road transportation networks is investigated considering the long-term effects of bridge structural deterioration and network upgrading interventions under uncertainty. The proposed methodology is applied to a highway network with spatially distributed reinforced concrete (RC) bridges exposed to chloride-induced corrosion and different earthquake scenarios. A new road segment including a bridge is added over the lifetime to strengthen the network connectivity and improve the system resilience. The results show the detrimental effects of structural deterioration at the network scale and the benefits of infrastructure investments for network upgrading to enable long-term resilient infrastructures.</p>
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Rezapour, Shabnam, Ramakrishnan S. Srinivasan, Jeffrey Tew, Janet K. Allen, and Farrokh Mistree. "Architecting Fail-Safe Supply Networks." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60055.

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A fail-safe network is one that mitigates the impact of different uncertainty sources and provides the most profitable level of service. This is achieved by having 1) a structurally fail-safe topology against rare but high magnitude stochastic events called disruptions and 2) an operationally fail-safe flow dynamic against frequent but low magnitude stochastic events called variations. A structurally fail-safe network should be robust and resilient against disruptions. Robustness and resilience respectively determine how well and how quickly disruptions are handled by the SN. Flow planning must be reliable in an operationally fail-safe supply network against variations to provide the most profitable service level to customers. We formulate the problem of designing/redesigning fail-safe supply networks as a compromise Decision Support Problem. We analyze the correlations among robustness, resilience, and profit for supply networks and propose a method for supply network managers to use when they need to find a compromise among robustness, resilience, and profit.
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Ulrich, Jacob, Jacob Drahos, and Manimaran Govindarasu. "A symmetric address translation approach for a network layer moving target defense to secure power grid networks." In 2017 Resilience Week (RWS). IEEE, 2017. http://dx.doi.org/10.1109/rweek.2017.8088667.

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Clemente, Antonio. "The resilient cycle network. The case study of Montesilvano." In IFoU 2018: Reframing Urban Resilience Implementation: Aligning Sustainability and Resilience. Basel, Switzerland: MDPI, 2019. http://dx.doi.org/10.3390/ifou2018-06148.

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Blakely, Benjamin. "Cyber Senses: Modeling Network Situational Awareness after Biology." In 2021 Resilience Week (RWS). IEEE, 2021. http://dx.doi.org/10.1109/rws52686.2021.9611793.

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Ran, Haodan, Hua Zhou, Juan Li, and Zhe Wang. "Analysis of Complex Resilience Network Nodes Based on Resilience Contribution." In 2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2021. http://dx.doi.org/10.1109/icitbs53129.2021.00053.

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Chapman, Airlie, and Mehran Mesbahi. "Semi-autonomous networks: Network resilience and adaptive trees." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717850.

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Reports on the topic "Network resilience"

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Klise, Katherine A., Regan Murray, Michael Bynum, and Dylan Michael Moriarty. Water Network Tool for Resilience Version 0.1. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1454682.

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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor types, line-of-site and non-line-of-site, and any sensor modality. It also incorporates several realistic constraints including finite sensor supply, cost, energy consumption, as well as specified redundancy in coverage areas that require resilience. While the exact solution is computationally prohibitive, we present a fast algorithm that produces a near-optimal solution that can be used in practice. We show how such formulation works on 2D examples, applied to infrared (IR) sensor networks designed to detect and track human presence and movements in a specified coverage area. Analysis of coverage and comparison of sensor placement with and without resilience considerations is also performed.
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Klise, Katherine A., David Hart, Dylan Michael Moriarty, Michael Lee Bynum, Regan Murray, Jonathan Burkhardt, and Terra Haxton. Water Network Tool for Resilience (WNTR) User Manual. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1376816.

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Klise, Katherine, David Hart, Michael Bynum, Joseph Hogge, Terranna Haxton, Regan Murray, and Jonathan Burkhardt. Water Network Tool for Resilience (WNTR) User Manual. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1660790.

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Musalem, Natasha, and Wendy Hawthorne. Social Vulnerability and Beacon Hill Resilience Hub Network. Office of Scientific and Technical Information (OSTI), August 2023. http://dx.doi.org/10.2172/1996559.

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Lerner-Lam, Arthur. Mainstreaming Disaster Resilience: Caracas Case Study. Inter-American Development Bank, April 2007. http://dx.doi.org/10.18235/0006718.

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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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Bonnett, Michaela, Chimdi Ezeigwe, Meaghan Kennedy, and Teri Garstka. Using Social Network Analysis to Link Community Health and Network Strength. Orange Sparkle Ball, July 2023. http://dx.doi.org/10.61152/scsf6662.

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Social network analysis (SNA) is a technique used to analyze social networks, whether it be composed of people, organizations, physical locations, or objects. It is being increasingly applied across a variety of sectors to gain insight into patterns of behavior and connectivity, the flow of information and behaviors, and to track and predict the effectiveness of interventions or programs. A key area associated with network strength using SNA is the health and wellness of individuals and communities. Both network strength and health and wellness are measured in many ways, which can obfuscate the association, so more consistency and further research is required. Despite this, the existing research using SNA to link characteristics of social networks to health and wellness find that stronger, more connected networks tend to be associated with better health outcomes. These results also present opportunities and insights for effective program implementation in response to disasters, to increase resilience, and to improve outcomes for individuals and communities.
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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This problem is considered as the main disruption for the supply chain. Running the scenario in Supply Chain Guru, constraints are added to the AS-IS model. The constraints are identified as implications of the event in the scenarios. By adding the constraints and running the model, Supply Chain Guru identifies suggestions to solve the problems which were described. The solutions within the scenarios are held up against the theory of supply chain resilience, to describe how the scenario planning can be used to enhance supply chain resilience. Finally, the book discuss how scenario planning can be related to supply chain resilience as well as how scenario planning can be used to increase supply chain resilience.
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Campi, Mercedes, and Marco Dueñas. Clusters and Resilience during the COVID–19 Crisis: Evidence from Colombian Exporting Firms. Inter-American Development Bank, October 2022. http://dx.doi.org/10.18235/0004474.

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In this paper, we characterize the geography of Colombian exporting clusters and analyze how the COVID-19 crisis has affected Colombian exporters. We contribute to the industrial clusters literature by defining exporting clusters with bipartite network analysis and community detection tools. The methodology allows us to empirically detect product clusters, which are compared with an alternative definition of industrial clusters, and to consider the centrality of firms within clusters. Then, we analyze the firms trade margins during the COVID-19 crisis to evaluate whether belonging to an exporting cluster can be a source of resilience for firms. We find that clusters do not automatically lead to higher resilience and that there are differences in how firms react to a crisis within clusters. Identifying the relevant firms characteristics can guide policymakers to activate the mechanisms that generate resilience.
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