DocumentCode :
578367
Title :
Cascading network failure based on local load distribution and non-linear relationship between initial load and capacity
Author :
Yi-Hua Ma ; Dong-Li Zhang
Author_Institution :
Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
Volume :
3
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
935
Lastpage :
940
Abstract :
Inspired by previous existing works, based on the local preferential redistribution rule of the load and the non-linear relation between load and capacity, we put forward a cascading model which is more practical and more suitable for real networks. We analyze the model theoretically and simulate it on BA scale-free network. In comparison with the strongest robustness against cascading failures of the linear load-capacity model in the case of α = 0.5 , we find that the robustness of the network can reach stronger in the case of δ ≠ 1, which is a tunable parameter controlling the strength of the capacity of node in our model. The results show that the model is effective. So it may be helpful to control cascading network failure and research on cascading failure deeply.
Keywords :
cascade control; complex networks; failure analysis; load distribution; BA scale-free network; cascading model; cascading network failure control; linear load-capacity model; local load distribution; local preferential redistribution load rule; nonlinear relationship; real networks; tunable parameter control; Abstracts; Barium; Load modeling; Robustness; Cascading failure; Complex networks; Local load distribution; Non-linear relationship;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359479
Filename :
6359479
Link To Document :
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