基于自适应分段广延指数模型的IPTV用户点播行为

doi:10.11959/j.issn.1000-0801.2018123

Abstract

Abstract:

The IPTV user’s on-demand behavior model based on adaptive segmental stretched exponential (ASSE) was proposed to optimize the configuration of IPTV CDN system,to improve the video scheduling and storage strategy,and to provide users with better experience for video access.At the same time,the probability of the video access by using the actual IPTV user’s on-demand data of China Telecom was simulated.Experiments show that compared with the traditional modeling methods,the ASSE model proposed not only achieves the purpose of simplifying the mathematical model and reducing the computation,but also improves the accuracy of the curve fitting.It has good consistency with the actual data.

Key words: IPTV, on-demand system, ASSE model, analysis of user’s behavior

CLC Number:

TP393

Buhua CHEN,Ge CHEN,Jie LIANG. IPTV user’s on-demand behavior based on adaptive segmental stretched exponential model[J]. Telecommunications Science, 2018, 34(5): 148-154.

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统计指标	ASSE模型	SE模型
回归平方和	900.1	1 047.4
残差平方和	4.7	20.4
总平方和	904.8	1 067.8
拟合优度R²	0.994 8	0.980 9
注：总平方和=回归平方和+残差平方和；拟合优度R²=回归平方和/总平方和。

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IPTV user’s on-demand behavior based on adaptive segmental stretched exponential model

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