Cache-Friendly Adaptive Video Streaming Framework Exploiting Regular Expression in Content Centric Networks 


Vol. 40,  No. 9, pp. 1776-1785, Sep.  2015


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  Abstract

Content Centric Network (CCN) has been introduced as a new paradigm due to a shift of users’s perspective of using Internet from host-centric to content-centric. On the other hand, a demand for video streaming has been increasing. Thus, Adaptive streaming has been introduced and researched for achieving higher user’s satisfaction. If an architecture of Internet is replaced with CCN architecture, it is necessary to consider adaptive video streaming in CCN according to the demand of users. However, if the same rate decision algorithm used in Internet is deployed in CCN, there are a limitation of utilizing content store (CS) in CCN router and a problem of reflecting dynamic requirements. Therefore, this paper presents a framework adequate to CCN protocol and cache utilization, adapting content naming method of exploiting regular expression to the rate decision algorithm of the existing adaptive streaming. In addition, it also improves the quality of video streaming and verifies the performance through dynamic expression strategies and selection algorithm of the strategies.

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  Cite this article

[IEEE Style]

D. Son, D. Choi, N. Choi, J. Song, T. “. Kwon, "Cache-Friendly Adaptive Video Streaming Framework Exploiting Regular Expression in Content Centric Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 9, pp. 1776-1785, 2015. DOI: .

[ACM Style]

Donghyun Son, Daejin Choi, Nakjung Choi, Junghwan Song, and Ted “Taekyoung” Kwon. 2015. Cache-Friendly Adaptive Video Streaming Framework Exploiting Regular Expression in Content Centric Networks. The Journal of Korean Institute of Communications and Information Sciences, 40, 9, (2015), 1776-1785. DOI: .

[KICS Style]

Donghyun Son, Daejin Choi, Nakjung Choi, Junghwan Song, Ted “Taekyoung” Kwon, "Cache-Friendly Adaptive Video Streaming Framework Exploiting Regular Expression in Content Centric Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 9, pp. 1776-1785, 9. 2015.