IPTV user’s on-demand behavior based on adaptive segmental stretched exponential model
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 proba...
Saved in:
Main Authors: | Buhua CHEN, Ge CHEN, Jie LIANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2018-05-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018123/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A rules extraction algorithm for IPTV customers forecasting based on the forecasting entropy measurement
by: Minjuan WANG, et al.
Published: (2016-05-01) -
Key technologies and solutions of VR based on IPTV
by: Feng LI, et al.
Published: (2018-11-01) -
Application of Variable Bit Rate Video in IPTV on Demand Services
by: Chuanfei Luo, et al.
Published: (2014-05-01) -
Automated anomaly detection of IPTV user experience
by: Xiaomin TAN, et al.
Published: (2019-07-01) -
Research and application of DRM technology in IPTV UHD video
by: Jingxin SHEN
Published: (2018-11-01)