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Network quality monitoring method based on self-similarity model

A network quality, self-similar technology, applied in the field of computer network, can solve the problem of lack of necessary intelligence, QOS can not change and so on

Inactive Publication Date: 2013-08-07
刘伟雄
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Like the access control list, QOS also has the defect that it cannot change with network changes and lacks the necessary intelligence

Method used

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  • Network quality monitoring method based on self-similarity model

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Embodiment

[0029] The network quality monitoring method based on the self-similar model of the present invention is based on the FBM self-similar model, and according to the actual situation of the type of customer service carried by the operator, other parameters that can be manually set are added, so as to finally establish a system for judging network abnormalities. self-similar model. After obtaining real-time data from the data source, just compare the established self-similar model and judge the similarity between the real-time data and the model to determine whether the network is abnormal.

[0030] The system calculates the three parameters of business traffic average rate m, variance coefficient a and Hurst through historical data, and then can completely describe the entire FBM model, but the self-similar model established in this way has its limitations, especially when the variance coefficient a is too small , even if the Hurst value is large enough, its self-similarity is no...

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Abstract

The invention discloses a network quality monitoring method based on a self-similarity model. The method comprises the following steps that S1, data of network access behavior and service quality information of a client is packaged into the current network access behavior and service quality information of the client; S2, a corresponding client business behavior model is established for raw data; S3, whether customer service is normal or not is judged; S4, a Servlet program is used for resolving and executing workflow operation; S5, when a network is abnormal, a network management part takes remote intervention measures; and S6, workflows are preset, and intelligent intervention is implemented to solve network abnormities. Compared with an original network management system, the method has the advantage that the network abnormities can be efficiently and accurately discovered and can be intelligently solved. Additionally, deep essential reaction to internet behavioral habits of the client, quick and accurate positioning and intelligent remediation of the network abnormities and diversity and convenience of alarms and manual intervention are fully embodied in a commissioning process of a large network operator.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a network quality monitoring method based on a self-similar model. Background technique [0002] Traditional network quality management is generally only based on static data analysis, comparing pre-set parameters, or comparing inherent mathematical models to obtain diagnostic results for network quality. In recent years, with the continuous development of network traffic analysis theory, especially the proposal of network traffic conforming to the self-similar model with long-term correlation characteristics, the network quality management system based on the old theory is increasingly unable to meet the analysis and management requirements of the current network. [0003] In addition, traditional network quality management is usually implemented through firewalls, access control lists, QOS, etc. Although they can play a role in network quality management to a certain ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24H04L12/26
Inventor 刘伟雄
Owner 刘伟雄
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