Brittleness evaluation method for cluster system based on complex network

A cluster system, complex network technology, applied in the fields of complexity science and reliability, can solve problems such as poor measurement effect

Active Publication Date: 2018-11-06
BEIHANG UNIV
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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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  • Brittleness evaluation method for cluster system based on complex network
  • Brittleness evaluation method for cluster system based on complex network
  • Brittleness evaluation method for cluster system based on complex network

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Embodiment Construction

[0068] In order to make the technical problems and technical solutions to be solved by the present invention clearer, the following will describe in detail with reference to the accompanying drawings and specific implementation examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, not to limit the present invention.

[0069] The purpose of the present invention is to solve the problem that existing brittleness indicators mainly focus on unilaterally considering the vulnerability of a node in a network model, and do not judge whether a node is vulnerable from both a global and a local point of view. Under the premise of considering the various complex characteristics of the cluster system, this patent uses the evaluation method of the present invention to search for vulnerable nodes in the cluster system, and then conducts deliberate attacks on the vulnerable nodes, and uses the brittlenes...

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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, ...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26H04L29/06
CPCH04L41/145H04L43/08H04L43/0811H04L63/1416H04L63/1441
Inventor 孙鹏飞李大庆
Owner BEIHANG UNIV
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