Dynamic Adaptive Streaming Algoritbm in ICN

Yonghui Xin; Yang Li; Tao Lin

doi:10.3969/j.issn.1000-0801.2014.09.006

您当前的位置：

首页 >

文章列表页 >

Dynamic Adaptive Streaming Algoritbm in ICN

Special topics: Information Center Network (ICN) | 更新时间：2024-06-05

- Dynamic Adaptive Streaming Algoritbm in ICN
- Telecommunications Science Vol. 30, Issue 9, Pages: 37-44(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2014.09.006
  CLC：
- Published Online：2014-09，
  
  Published：20 September 2014
- 稿件说明：
移动端阅览
Yonghui Xin, Yang Li, Tao Lin. Dynamic Adaptive Streaming Algoritbm in ICN[J]. Telecommunications science, 2014, 30(9): 37-44.
DOI：

Yonghui Xin, Yang Li, Tao Lin. Dynamic Adaptive Streaming Algoritbm in ICN[J]. Telecommunications science, 2014, 30(9): 37-44. DOI： 10.3969/j.issn.1000-0801.2014.09.006.

摘要

信息中心网络（information-centric networking

ICN）与传统IP网络的重要区别在于，前者的路由器节点具备缓存能力，能将热门内容推送到更靠近客户的网络边缘，从而降低客户获取内容的时延。然而ICN中的节点缓存特性会导致传统的自适应流媒体协议出现视频抖动甚至播放中断，降低客户的观看体验。提出了ICN中的动态自适应流媒体算法，在保证客户端播放流畅的同时，尽可能地提升视频片段的码率，提升客户的观看体验。通过在现有的ICN平台中进行仿真实验，证明了该自适应算法在性能上优于传统的算法。

Abstract

Information-centric networking（ICN）has different type of router node from the traditional network

which has caching facilities

and popular content will be pushed to the edge of the network closer to the user

reducing the delay of the user's access to the content. However

ICN's caching will result in the shake or even the interruption of video play when client uses the traditional adaptive streaming protocol

reducing the user's viewing experience. An algorithm for dynamic adaptive streaming in ICN was proposed

ensuring smoothly playback as well as improving the average bitrate of play thus to enhance the user's viewing experience. Simulation experiment on the existing ICN platform proves that the adaptive algorithm performs better than the traditional algorithms.

关键词

Keywords

references

Ahlgren B , D'Ambrosio M , et al Design considerations for a network of information . Proceedings of the 2008 ACM CoNEXT Conference , 2008

Cisco Cisco Visual Networking Index: Forecast and Methodology, 2011-2016 . Tech Rep , May 2012

SSodagar I . The MPEG-DASH standard for multimedia streaming over the internet . IEEE Computer Society（S1070-986X） , 2011 , 4 ( 18 ): 62 ～ 67

Akhshabi S , Narayanaswamy S , Begen A C , et al An experimental evaluation of rate-adaptive video players over HTTP . Signal Processing: Image Communication（S0923-5965） , 2012 , 4 ( 27 ): 271 ～ 287

Miller K , Quacchio E , Gennari G , et al Adaptation algorithm for adaptive streaming over HTTP . Proceedings of 19th International Conference on Packet Video Workshop（PV） , Munich-Garching, Germany 2012 : 173 ～ 178

Liu Y , Geurts J , Point J C , et al Dynamic adaptive streaming over CCN: a caching and overhead analysis . Proceedings of 2013 IEEE International Conference on Communications（ICC） , Budapest, Hungary 2013 : 3629 ～ 3633

Ccnx project v0.6.0 . http://www.ccnx.org http://www.ccnx.org .

Müller C , Timmerer C . A VLC media player plugin enabling dynamic adaptive streaming over HTTP . Proceedings of the 19th ACM International Conference on Multimedia , New York, NY，USA 2011 : 723 ～ 726

Jacobson V , Smetters D , Thornton J , et al . Networking named content . Proceedings of the 2009 ACM CoNEXT Conference , Toronto, Canada 2009

Views

453

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Social-aware caching and forwarding for video streaming in information-centric 5G VANET

A solution for flexible adaption of network services in mobile edge computing

Cache replacement strategy based on content value

A survey on joint optimization of MEC caching and transcoding for video streaming

Access Control for Autborized Video in Information-Centric Networking

Related Author

Cuili JIANG

Zhiqiang LIU

Xiaoying WANG

Tengfei CAO

Bohao FENG

Huachun ZHOU

Dan HUANG

Rongfang SONG

Related Institution

College of Telecommunications ＆Information Engineering, Nanjing University of Posts and Telecommunications

Jiangsu Engineering Research Center of Communication and Network Technology,Nanjing University of Posts and Telecommunications

CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China

School of Electrical Engineering and Computer Science, University of Central Florida

School of Computer Science and Engineering, Southeast University

⁰