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Cascading failures can also occur in computer networks (such as the Internet) in which network traffic is severely impaired or halted to or between larger sections of the network, caused by failing or disconnected hardware or software. In this context, the cascading failure is known by the term cascade failure. A cascade failure can affect ...
An important aspect of failures in many networks is that a single failure in one node might induce failures in neighboring nodes. When a small number of failures induces more failures, resulting in a large number of failures relative to the network size, a cascading failure has occurred. There are many models for cascading failures.
He has devised local methods for cascade control in distributed systems [7] and his team advanced the large-scale modeling of cascading failures. [8] His group has studied implications of these methods for the recovery of lost function in biological [9] [10] and ecological [11] [12] networks and for the control of complex networks in general.
The study of complex networks is a young and active area of scientific research [1] [2] (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks, [3] [4] climate networks and social networks.
Other cascading failure models include Manchester, Hidden failure, CASCADE, and Branching. [14] The OPA model was quantitatively compared with a complex networks model of a cascading failure – Crucitti–Latora–Marchiori (CLM) model, [ 15 ] showing that both models exhibit similar phase transitions in the average network damage (load shed ...
The study of interdependent networks is a subfield of network science dealing with phenomena caused by the interactions between complex networks.Though there may be a wide variety of interactions between networks, dependency focuses on the scenario in which the nodes in one network require support from nodes in another network.
To describe and understand global cascades, a network-based threshold model has been proposed by Duncan J. Watts in 2002. [1] The model is motivated by considering a population of individuals who must make a decision between two alternatives, and their choices depend explicitly on other people's states or choices.
Cascades in financial networks are situations in which the failure of one financial institution causes a cascading failure in another member of the financial network. In an extreme this can cause failure of the whole network in what is known as systemic failure. It can be defined as the discontinuous value loss (e.g. default) of the ...