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Network flow characteristic analysis method based on fractional order Fourier transformation

A fractional-order Fourier transform and network traffic technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as high algorithm complexity and inability to meet the real-time analysis of network traffic characteristics, and achieve time complexity Low, strong robustness, effect of increasing robustness

Inactive Publication Date: 2015-07-08
CHINA ELECTRIC POWER RES INST +3
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Problems solved by technology

The analysis and estimation algorithm based on the frequency domain has good robustness, but the algorithm complexity is high, which cannot meet the real-time performance of network traffic characteristic analysis

Method used

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  • Network flow characteristic analysis method based on fractional order Fourier transformation
  • Network flow characteristic analysis method based on fractional order Fourier transformation
  • Network flow characteristic analysis method based on fractional order Fourier transformation

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, a network analysis method based on fractional Fourier transform, the specific steps are as follows:

[0028] Step S1, extract relevant data for actual network traffic, and provide network traffic data for subsequent parts;

[0029] Step S2, using the network traffic characteristic analysis algorithm to obtain the Hurst index through the network traffic data;

[0030] Step S3, analyzing the current network status through network traffic characteristic parameters, and correcting the Hurst index.

[0031] In the step S1, the actual network traffic is the network packet data captured by the network packet analysis software. The extracted data is about network traffic data, including: packet loss rate, number of packets sent per second, traffic (number of bits per second) and so on.

[0032] In the step S2, the network traffic...

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Abstract

The invention provides a network flow characteristic analysis method based on fractional order Fourier transformation. The method includes the steps that firstly, network flow data are extracted; secondly, a network flow characteristic analysis algorithm is adopted, and the Hurst index is obtained based on the network flow data; thirdly, the current network state is analyzed based on network flow feature parameters, and the Hurst index is corrected. The network flow characteristic analysis method based on the fractional order Fourier transformation has the advantages of the time domain estimation method and the frequency domain estimation method, the algorithm time complexity is low, the influences caused by the time scale are small, and robustness is high.

Description

technical field [0001] The invention relates to a method for analyzing network traffic characteristics, in particular to a method for analyzing network traffic characteristics based on fractional Fourier transform. Background technique [0002] With the rapid development of Internet services carried in the communication network, the network traffic behavior is becoming more and more complex, and the demand for different types of network services is increasing, which puts forward higher requirements for the efficiency and security of network data transmission. Predicting the changing trend of data traffic in advance, rationally allocating limited network resources, and optimizing network expansion in a planned way are crucial to solving network congestion and providing better user services. [0003] Predicting the trend of network data traffic changes requires integrated analysis based on existing data in order to make predictions under the guidance of certain theories. Then...

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Application Information

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IPC IPC(8): H04L12/26
Inventor 孙勇张庚汪洋郭经红周禹苏斓钟卓健王智慧丁慧霞张然孙振超李思珍
Owner CHINA ELECTRIC POWER RES INST
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