CFM-RFM: A Cascading Failure Model for Inter-Domain Routing Systems with the Recovery Feedback Mechanism

With the increase and diversification of network users, the scale of the inter-domain routing system is becoming larger and larger. Cascading failure analysis and modeling are of great significance to improve the security of inter-domain routing networks. To solve the problem that the propagation principle of cascading failure does not conform to reality, a Cascading Failure Model for inter-domain routing systems with the Recovery Feedback Mechanism (CFM-RFM) is proposed in this paper. CFM-RFM comprehensively considers the main factors that cause cascade failure. Based on two types of update message propagation mechanism and traffic redistribution, it simulates the cascading failure process. We found that under the action of the recovery feedback mechanism, the cascading failure process was accelerated, and the network did not quickly return to normal, but was rather quickly and extensively paralyzed. The average attack cost can be reduced by 38.1% when the network suffers the same damage.

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Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks

Discrete Dynamics in Nature and Society ◽

10.1155/2018/1915695 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Ruru Xing ◽

Qingfang Yang ◽

Lili Zheng

Keyword(s):

Double Layer ◽

Network Model ◽

Theoretical Basis ◽

Traffic Accidents ◽

Failure Process ◽

Cascading Failure ◽

Traffic Network ◽

Network Vulnerability ◽

Failure Model ◽

Network Failure

For better describing the network cascading failure caused by random attacks such as traffic accidents, this paper introduces the ORNL-PSerc-Alaska (OPA) model to analyze the urban regional traffic network vulnerability. Firstly, the double-layer network model is built for analyzing the complex characteristics of the regional traffic network. Secondly, the cascading failure model is built to better describe the process of the network cascading failure under random attacks. Finally, by simulating the network failure process, the vulnerability of the traffic network will be pointed out, which provides the theoretical basis for avoiding the network cascading failure under random attacks.

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Unified Failure Model of Reinforced Concrete Members Subjected to Hazard Loads I: Ductile Failure Analysis

Sustainable Development of Critical Infrastructure ◽

10.1061/9780784413470.021 ◽

2014 ◽

Author(s):

Xi Chen ◽

Xila Liu

Keyword(s):

Reinforced Concrete ◽

Failure Analysis ◽

Ductile Failure ◽

Failure Model ◽

Concrete Members

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Lithium-ion Battery Degradation Mechanisms and Failure Analysis Methodology

ISTFA 2012: Conference Proceedings from the 38th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2012p0239 ◽

2012 ◽

Author(s):

Bhanu Sood ◽

Lucas Severn ◽

Michael Osterman ◽

Michael Pecht ◽

Anton Bougaev ◽

...

Keyword(s):

Failure Analysis ◽

Lithium Ion Batteries ◽

Elevated Temperatures ◽

Failure Process ◽

Lithium Ion ◽

Degradation Mechanisms ◽

Analysis Methodology ◽

Depth Of Discharge ◽

Battery Degradation ◽

Non Destructive

Abstract A review of the prevalent degradation mechanisms in Lithium ion batteries is presented. Degradation and eventual failure in lithium-ion batteries can occur for a variety of dfferent reasons. Degradation in storage occurs primarily due to the self-discharge mechanisms, and is accelerated during storage at elevated temperatures. The degradation and failure during use conditions is generally accelerated due to the transient power requirements, the high frequency of charge/discharge cycles and differences between the state-of-charge and the depth of discharge influence the degradation and failure process. A step-by-step methodology for conducting a failure analysis of Lithion batteries is presented. The failure analysis methodology is illustrated using a decision-tree approach, which enables the user to evaluate and select the most appropriate techniques based on the observed battery characteristics. The techniques start with non-destructive and non-intrusive steps and shift to those that are more destructive and analytical in nature as information about the battery state is gained through a set of measurements and experimental techniques.

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Coordinated cyber-physical attacks based on different attack strategies for cascading failure analysis in smart grids

Wireless Networks ◽

10.1007/s11276-021-02752-6 ◽

2021 ◽

Author(s):

Wenjie Kang ◽

Qiang Liu ◽

Peidong Zhu ◽

Wei Zhao ◽

Xuchong Liu ◽

...

Keyword(s):

Failure Analysis ◽

Smart Grids ◽

Cascading Failure

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A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

IEEE Access ◽

10.1109/access.2021.3049485 ◽

2021 ◽

Vol 9 ◽

pp. 9493-9504

Author(s):

Geng Zhang ◽

Jiawen Shi ◽

Shiyan Huang ◽

Jiye Wang ◽

Hao Jiang

Keyword(s):

Cascading Failure ◽

Failure Model ◽

Communication Layer ◽

Operation Characteristics

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Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3100521 ◽

2021 ◽

pp. 1-13

Author(s):

Haodong Liu ◽

Bo Yang ◽

Dongsheng Li

Keyword(s):

Collaborative Filtering ◽

Propagation Mechanism ◽

Message Propagation

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Cascading failure with preferential redistribution on bus–subway coupled network

International Journal of Modern Physics C ◽

10.1142/s0129183121501035 ◽

2021 ◽

pp. 2150103

Author(s):

Sonnam Jo ◽

Liang Gao ◽

Feng Liu ◽

Menghui Li ◽

Zhesi Shen ◽

...

Keyword(s):

Public Transport ◽

Failure Process ◽

Vital Role ◽

Urban Transport ◽

Traffic Load ◽

Transport Systems ◽

Cascading Failure ◽

Passenger Flow ◽

Urban Public Transport ◽

Overall Performance

Robustness studies on integrated urban public transport networks have attracted growing attention in recent years due to the significant influence on the overall performance of urban transport system. In this paper, topological properties and robustness of a bus–subway coupled network in Beijing, composed of both bus and subway networks as well as their interactions, are analyzed. Three new models depicting cascading failure processes on the coupled network are proposed based on an existing binary influence modeling approach. Simulation results show that the proposed models are more accurate than the existing method in reflecting actual passenger flow redistribution in the cascading failure process. Moreover, the traffic load influence between nodes also plays a vital role in the robustness of the network. The proposed models and derived results can be utilized to improve the robustness of integrated urban public transport systems in traffic planning.

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