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Research And Optimization On Traffic Adjustment Strategy Based On Complex Network Cascading Failure

Posted on:2020-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:J KuangFull Text:PDF
GTID:2370330578452882Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
Large-scale cascading failure in complex networks can lead to disastrous consequences,in order to improve the safety and reliability of complex networks,more and more people began to study complex network cascading failures.This paper first introduces the complex network and the research status of cascading failure.Then this paper introduces the basic theoretical knowledge of complex network,mainly includes the statistical feature of complex network and evolution model,lays the foundation for the research of complex network level mechanical linkage.In order to enhance the robustness of the network,it is crucial to take the necessary measures to suppress the propagation of the cascade.Different from the way of removing or adding nodes(edges)in the past,this paper mainly studies the method of removing traffic between nodes.Based on the traffic adjustment strategy proposed by Tao Hu,this paper considers the flow dynamic,where the traffic exchanged between a pair of nodes can be adjusted depending on the changes of the shortest path length and the shortest path number between them.Finally,based on the BA network,this paper establishes a complex network cascading faliure model,and simulates the impact of distance mitigation parameters and number mitigation parameters on network robustness and relative remaining traffic on Matlab.It is found that:the increase of the adjustment parameters ? and ?can effectively mitigate the cascade propagation and improve the network robustness.The improved traffic adjustment strategy can more accurately adjust the traffic between pairs of nodes while the traffic loss is the lowest.
Keywords/Search Tags:Complex network, Cascading failures, Robustness, Traffic adjustment
PDF Full Text Request
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