Network resource reallocation method based on non-linear capacity load model

Abstract

The invention discloses a network resource reallocation method based on a non-linear capacity load model, belonging to the technical field of communication network and reliability. The method comprises the steps: step 1, providing a non-linear capacity load model based on a non-linear relation between node capacity and load under the normal working status of network; step 2, providing a reallocation policy for the newly increased network capacity resource according to the non-linear capacity load model and the node capacity load characteristics after the cascading failure of the network; and step 3, simulating and comparing the reallocation policy of the newly increased network resource. Compared with the experiment of the existing policy, the method proves that the provided resource reallocation policy is capable of more reliably distributing the newly increased network capacity resource after the performance reduction of the network suffering from a calculated attack; the performance of the network is recovered obviously, so that the damage of the cascading failure to the network is reduced effectively and the fault of the cascading failure of the network is resisted.

Description

technical field [0001] The invention belongs to the field of communication network and reliability technology, and in particular relates to a network resource redistribution method based on a nonlinear capacity load model. Background technique [0002] In the real environment, people often add a certain amount of network resources to redistribute some network nodes after network failures lead to network performance degradation, such as upgrading the performance of these nodes so that the performance of the entire network can be improved to a certain extent. The restoration of the network meets people's requirements for certain network service capabilities. This type of problem is very common in actual engineering, and it is similar to making the network system as robust as possible with a certain cost invested. [0003] Optimizing the allocation of network resources can improve network transmission performance and control network fault propagation, and has always received g...

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Problems solved by technology

[0007] Existing technology: Paolo Crucitti, Vito Latora's literature "A model for cascading failures in complex networks" considers the occurrence of cascading failures, and proposes a linear capacity load model based on the linear proportional relationship, without considering the nonlinearity of network capacity and load characteristic resource allocation strategy

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