Modeling and Optimization of Bandwidth Supply Performance for Cloud-Assisted Video Systems under Flash Crowd

被引：0

作者：

Shijie Jia ^{[1
,2
]}

Ruiling Zhang ^{[3
,2
]}

Youzhong Ma ^{[1
,2
]}

Lujie Zhong ^{[4
]}

Changqiao Xu ^{[5
]}

机构：

[1] Central Plains Economic Zone Wisdom Tourism Cooperative Innovation Center,Luoyang Normal University

[2] Academy of Information Technology,Luoyang Normal University

[3] School of Computer Science and Technology,Wuhan University of Technology

[4] Information Engineering College,Capital Normal University

[5] State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications

来源：

中国通信 | 2016年 / 13卷 / 09期

基金：

中国国家自然科学基金;

关键词：

supply capacity of upload bandwidth; startup delay; video sharing; cloud-assisted;

D O I：

暂无

中图分类号：

TN919.8 [图像通信、多媒体通信];

学科分类号：

0810 ; 081001 ;

摘要：

The large-scale and sudden video content access such as flash crowds results in huge bandwidth demand,which severely influence user quality of experience and quality of service of video systems.In this paper,we firstly discuss the main reason of generation of flash crowds for video streaming services and analyze key factor for balance recovery between supply and demand of upload bandwidth.We construct two models:bandwidth supply capacity model of video systems and bandwidth demand model of users,which measures usage amount of bandwidth of the cloud.Based on the built models,we further employ a community-based cooperative caching strategy of video resources to promote supply capacity of upload bandwidth of video systems.Extensive tests show how the proposed cooperative caching strategy achieves much better performance results in comparison with original solution.

引用

页码：151 / 162

页数：12

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