Efficient Response to Cascading Disaster Spreading

Abstract

We study the effectiveness of recovery strategies for a dynamic model of failure spreading in networks. These strategies control the distribution of resources based on information about the current network state and network topology. In order to assess their success, we have performed a series of simulation experiments. The considered parameters of these experiments are the network topology, the response time delay and the overall disposition of resources. Our investigations are focused on the comparison of strategies for different scenarios and the determination of the most appropriate strategy. The importance of prompt response and the minimum sufficient quantity of resources are discussed as well.

8 pages, 6 figures

References in corpus (11)

• Cascade-based attacks on complex networks
• Immunization of complex networks
• Efficient Immunization Strategies for Computer Networks and Populations
• Cascade control and defense in complex networks
• Halting viruses in scale-free networks
• Emergence of a small world from local interactions: Modeling acquaintance networks
• Scale Invariance in Road Networks
• Assessing Interaction Networks with Applications to Catastrophe Dynamics and Disaster Management
• Reactions to extreme events: moving threshold model
• A dissemination strategy for immunizing scale-free networks
• Optimization of hierarchical structures of information flow

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