Brittleness evaluation method for cluster system based on complex network

Abstract

The invention provides a brittleness evaluation method for a cluster system based on a complex network. The method mainly includes the following steps: step A, analyzing an evaluation object to builda system network model, and exploring vulnerable nodes; step B, setting a brittleness index; step C, setting an intentional attack strategy; step D, implementing attacks, and monitoring and recordingsystem performance indexes; and step E, summarizing the variation trend of the performance indexes, and analyzing the brittleness performance of cluster system. According to the scheme of the invention, on the premise of considering various complex characteristics of the cluster system, the evaluation method provided by the invention is adopted to search the vulnerable nodes for the cluster system, and then the intentional attacks are carried out for the vulnerable nodes, the brittleness index provided by the invention is adopted to perform brittleness quantitative analysis and brittleness trend analysis on the attacked cluster system, so that system designers can be facilitated to discover the vulnerable nodes of the system and can perform optimization and improvement for the vulnerable nodes and a network structure according to an evaluation result, and thus the brittleness performance of the system can be improved.

Description

technical field [0001] The invention proposes a cluster system brittleness evaluation method based on a complex network, which relates to a complex network-based cluster system brittleness evaluation method, and belongs to the field of complexity science and reliability. Background technique [0002] The cluster system is widely used. Through the combination of low-performance individuals and local interactions among individuals, intelligence far exceeding the performance of individual systems can emerge at the system level, with novelty, coherence, dynamics, and flexibility. Tasks can be solved in a low-cost, highly decentralized form. The unmanned robot swarm system can be applied in many aspects such as disaster area search, warehousing and logistics, and military confrontation, and has a good development prospect; the sensor swarm system can be used for situation awareness and other aspects. Cluster systems often have three layers: perception layer, transmission layer, ...

AI Technical Summary

Problems solved by technology

The scheme of dynamic measurement based on the complex network adopted by the present invention solves the problem that the existing brittle measurement method has poor measurement effect on complex structural systems such as cluster systems

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