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Traffic Generation Method Based on Streaming Media User Behavior Analysis

A technology of behavior analysis and generation method, which is applied in the direction of digital transmission system, electrical components, transmission system, etc., can solve the problem of not considering the number of videos watched by the user's video playback characteristics, and achieve the effect of real traffic and high fidelity

Active Publication Date: 2016-05-11
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above method only generates network traffic by sending playback requests from the client to the server, and does not take into account the user's video playback characteristics (such as play / pause time, video selection, number of watched videos, etc.), and is mostly used for stress testing of streaming media servers, etc.

Method used

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  • Traffic Generation Method Based on Streaming Media User Behavior Analysis
  • Traffic Generation Method Based on Streaming Media User Behavior Analysis
  • Traffic Generation Method Based on Streaming Media User Behavior Analysis

Examples

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Embodiment Construction

[0021] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention.

[0022] figure 1 It is a flowchart of a method for generating network traffic in an embodiment of the present invention, including the following steps:

[0023] Step 101, carry out data mining and analysis on the website log file, extract the playing time, pause time, forward distance, backward distance, the number of times each video is watched, the number of watched videos, video request interval, video switching relationship and watched video Quantity and other data, and carry out K-S test (K-Stest) on the above data to determine the distribution and related parameters it obeys, and determine the Markov video transition matrix and Markov operation transition matrix. The determination of the above distribution and model parameters can be divided into two situations: (1) When the website access log files can be obtained, data mining and ...

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Abstract

The invention provides a flow generation method based on streaming media user behavior analysis. The flow generation method comprises the steps that a Markov video transition probability matrix is determined; a first watched video is determined according to the watched probability of videos; according to an operation type X1 of the video which is watched currently, a Markov operation transition probability matrix determines an operation type X2 corresponding to the next watched video; execution time t of the operation type X2 is obtained according to probability density distribution conformed by the video operation type X2, and a video server sends corresponding control request data, wherein a control request comprises playing, pause and disconnection; the next video is determined according to the Markov video transition probability matrix and a video request interval delta t till the last video, and then the video server stops sending the control request data. The flow generation method based on streaming media user behavior analysis simulates user viewing behaviors through an SUBS model for existing video websites in a network so as to generate flow, can reflect true user request flow conditions more accurately, and is closer to real-time requests of users.

Description

technical field [0001] The invention relates to a user behavior analysis technology and a network flow generation technology, in particular to a flow generation method based on streaming media user behavior analysis. Background technique [0002] The Internet is a highly practical field, and relevant research results will be widely accepted only after they have been verified by practice. Therefore, researchers need to build a network test bed to verify new network architecture, protocols, services, etc. Since there are no real users in the experimental bed, we need to generate a large amount of realistic network traffic through the traffic generator, and its performance indicators have a direct impact on the experimental results. Video websites are developing very rapidly. According to data from iResearch, in May 2012, the coverage rate of online video users has reached 96%, and the number of users surpassed search services for the first time to rank first, and streaming me...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26H04L29/06H04L12/24
Inventor 唐红周兴华赵国锋徐川
Owner CHONGQING UNIV OF POSTS & TELECOMM
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