Network flow estimating method

A network flow and flow technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as large linearization errors, large router resources consumption, measurement data processing and analysis difficulties, etc., to improve accuracy and reduce calculation. Sophisticated, high-precision effects

Inactive Publication Date: 2012-01-18
四川智联科创科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] (1) In order to obtain OD flow information of the whole network, Netflow software must be installed on all core routers, which is a very large expense;
[0006] (2) A large amount of router resources are consumed in the direct measurement process, which affects router performance;
[0007] (3) It is very difficult to process and analyze the

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Embodiment Construction

[0027] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0028] In order to facilitate the understanding of the technical solution of the present invention, the establishment of the OD flow estimation model is described first.

[0029] Based on the knowledge of network tomography, the relationship between link measurement data and OD traffic obtained through SNMP, the measurement equation of the nonlinear system is obtained as follows:

[0030] Y t =A t x t +V t Formula (2)

[0031] Y t Indicates the link measurement traffic at time t, obtained from SNMP data, X t Indicates the OD flow vector at time t, A t Indicates the routing matrix at time t, if the j-th OD flow passes through the i-th link, then A t Element a in row i and column j of ij is 1, otherwise it is 0; because there will be errors in the process of data collection, a random process V is introduced t Indicates measurement ...

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Abstract

The invention discloses a network flow estimating method which concretely comprises the steps of initializing, obtaining a sigma point set, predicting the state, estimating the state and updating the process. In the method, the flow matrix estimating problem is modeled into a nonlinear system which more meets the OD (Origin-Destination) flow real characteristic; the sigma point set obtained by UT (Unscented Transformation) is subjected to nonlinear transformation; the coefficient of the system sate equation needed by nonlinear transformation is obtained concretely by Chebyshev polynomial fitting instead of approximately obtaining the system state equation by the traditional local linearization; accordingly, the state equation of the system does not need to meet the available linear function approximating condition; a symmetrical sampling policy is adopted for the UT; the particle point set approaches the probability density function distribution of a nonlinear function to obtain the higher-order approximation of state estimation, the result of OD flow estimation has higher precision, and the calculating complexity of the system is reduced.

Description

technical field [0001] The invention belongs to the technical field of computer network communication, and particularly relates to a method for estimating network traffic therein. Background technique [0002] With the rapid development of the Internet, the network is developing in the direction of large-scale, high-speed, multi-service, and large-capacity, and the difficulty of controlling and managing the network increases accordingly. Network researchers are a very important physical quantity. [0003] The network traffic matrix (Traffic Matrix, TM) is an important indicator of network performance parameters, which represents the traffic between any OD (Origin-Destination) pair (or flow, or node) in the network, and describes the flow of network traffic between each OD pair. of the distribution. The acquisition of traffic matrix can be divided into active measurement and passive measurement according to the cooperation method of measurement, and can be divided into dire...

Claims

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Application Information

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IPC IPC(8): H04L12/56H04L12/26H04L47/27
Inventor 钱峰石凌燕胡光岷
Owner 四川智联科创科技有限公司
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