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Simulating Critical Infrastructure Cascading Failure

2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
The reliance on critical infrastructures, which are heavily interconnected, is one of society's greatest weaknesses. An individual failure has the potential to have a huge impact on society and affect other infrastructures. Predicting the effects of a cascading failure is a challenge.
Áine MacDermott   +3 more
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The lung water cascade in heart failure

Echocardiography, 2017
In heart failure patients, we hypothesize the occurrence of the “lung water cascade,” with the various markers hierarchically ranked in a well‐defined time sequence: (1) early, proximal hemodynamic event with increase in pulmonary capillary wedge pressure; (2) intermediate, direct imaging sign of pulmonary edema (easily detectable at bedside by lung ...
Eugenio Picano, Maria C. Scali
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A Markovian Dependability Model with Cascading Failures

IEEE Transactions on Computers, 2009
We develop a continuous-time Markov chain model of a dependability system operating in a randomly changing environment and subject to probabilistic cascading failures. A cascading failure can be thought of as a rooted tree. The root is the component whose failure triggers the cascade, its children are those components that the root's failure ...
Srinivasan M. Iyer   +2 more
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Cascading failures in coupled map lattices

Physical Review E, 2004
Large cascades triggered by initial shocks are common in complex networks. Coupled map lattices have been widely used over the past decades as dynamical models of complex systems. Here we investigate cascading failures in coupled map lattices with different topologies.
Xiao Fan, Wang, Jian, Xu
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Research on Cascading Failures in Complex Network

2018
The study on the cascading failure of complex network is an important branch in the complex network researches. In this paper, the attack strategies used in the researches on the cascading failure of complex network at home and abroad have been summarized.
Yu Nan   +3 more
openaire   +1 more source

Network resilience estimation to cascading failures

2015 International Conference on Information and Communication Technology Convergence (ICTC), 2015
Failures of a small fraction of nodes can lead to breakdown of entire network due to overload or congestion. To understand this crucial feature in networks, we propose a load-dependent cascading failure model according to sandpile principle in this paper.
Yong-Hyuk Moon, Yong-Sung Jeon
openaire   +1 more source

Modeling Cascading Failures in Congested Internet

2008 The 9th International Conference for Young Computer Scientists, 2008
Internet is a complex network with the characteristic of self-organized criticality. The cascading dynamics of Internet are presented and two reasons are pointed out, which may cause cascading failures. Different from betweenness centrality, a congestion function to represent the extent of congestion is proposed.
Jian Wang 0003   +3 more
openaire   +1 more source

On a new stochastic model for cascading failures

Journal of Applied Probability, 2020
AbstractIn this paper, to model cascading failures, a new stochastic failure model is proposed. In a system subject to cascading failures, after each failure of the component, the remaining component suffers from increased load or stress. This results in shortened residual lifetimes of the remaining components.
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On the Induction of Cascading Failures in Transportation Networks

2018 IEEE Conference on Decision and Control (CDC), 2018
We examine the effect of malicious attacks in disrupting optimal routing algorithms for transportation networks. We model traffic networks using the cell transmission model, which is a spatiotemporal discretization of kinematic wave equations. Here, vehicles are modeled as masses and roads as cells, and traffic flow is subject to conservation of mass ...
Griffin Kearney, Makan Fardad
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Mitigating Cascading Failure with Adaptive Networking

New Mathematics and Natural Computation, 2015
The increase of a network connectivity may improve network performance, but at the same time, it may also increase the chance of extremely large risk contagion. If external shocks or excess loads at some agents are propagated to the other connected agents due to failure, the domino effects often come with disastrous consequences.
Hoang Anh Q. Tran, Akira Namatame
openaire   +2 more sources

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