Network flow modelling method and system based on Weibull distribution

A technology of Weibull distribution and network traffic, applied in the field of network traffic modeling based on Weibull distribution, can solve problems such as one-sided self-similar process, difficult time series correlation, etc., and achieve a good effect of self-similarity
CN105978733AActive Publication Date: 2016-09-28NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
2 Cites 5 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Publication Date
2016-09-28

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a network flow modelling method and system based on Weibull distribution. The method comprises the following steps of (1), generating a pre-determined number of Weibull noise time sequences at; (2), pre-processing the generated Weibull noise time sequences at, removing singular points, and performing zero equalization treatment so as to obtain Weibull time sequences epsilont; (3), estimating a fractional difference coefficient d by adopting a search method; (4), according to the fractional difference coefficient d, differentially filtering the Weibull time sequences epsilont obtained in the step (2) by using a fractional difference formula so as to obtain time sequences Wt; (5), performing ARMA process of the time sequences Wt so as to obtain FARIMA time sequences Xt; and (6), verifying that the generated FARIMA time sequences Xt can describe the self-similarity and the burstiness of the network flow. Gaussian distribution is replaced by Weibull distribution in the network flow modelling method; therefore, the generated FARIMA model is more precise than the traditional network flow model; the FARIMA model accords with a practical network flow waveform diagram better; and the self-similarity degree is relatively high.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of network communication, in particular to a Weibull distribution-based network flow modeling method and system. Background technique

[0002] Network traffic modeling plays a very important role in the design, evaluation and optimization of computer networks. Among them, the statistical distribution theory is used as the basis for the study of network services, which promotes the development of network traffic services. The self-similarity and burstiness of network services have a huge impact on network analysis, design, control and management, and network service Quality presents a tougher challenge. Network performance evaluation has become an important research part of network design and control, especially with the development of the network, the services carried on the network have also expanded from voice to video, multimedia, etc. Therefore, establishing a reasonable network traffic model plays a vital role ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More