Cascading failure model of scale-free networks for avoiding edge failure

In reality, most of the heavy load networks are not ideal. To enhance the robustness of a scale-free network against cascading failure efficiently, a new model with this phenomenon is put forward. The new model is based on defining the load of the connection of any two nodes with respect to both degree and betweenness centrality. Then, the iterative process of a cascading failure on scale-free networks is analysed by removing one edge. We find that the proposed new model can control the spread of cascading failure more significantly, especially on the heavy load networks. Five metrics are given to verify that the new model is more general, practical, feasible and advanced: the threshold parameter(T-C), the proportion of collapsed edges(CFE), the proportion of collapsed nodes(CFN), the number of nodes in the largest connected component(S-G) and the number of the connected component(S-C). Our work can be useful to design and optimize the heavy load networks.