Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Transmission Scheme For Video Streaming Based On Exclusive OR

배타적 논리합 기반 비디오 스트리밍을 위한 전송 기법

  • Lee, Jeong-Min (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Kim, Yu-Sin (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Ryu, Jong Yeol (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
  • Received : 2020.08.03
  • Accepted : 2020.08.25
  • Published : 2020.10.31
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Abstract

In this paper, we propose a video transmission scheme for exclusive OR based video streaming (XC) that can improve the efficiency of video streaming by using receivers' caches and coding of video data. Contrary to conventional streaming schemes such as multicast where video contents can be transmitted on single channel only when two clients request the same video, the proposed streaming scheme can transmit video contents on single channel conditionally according to the status of the clients' caches even though two clients request different video contents. We analyze the performance of the proposed transmission for XC in terms of the streaming efficiency through extensive computer simulations and compare it with a conventional scheme. Simulation results show that the proposed scheme can enhance the streaming efficiency by 21%, compared with the conventional scheme.

본 논문에서는 수신단 캐시를 활용하여 비디오 스트리밍의 전송 효율을 개선할 수 있는 배타적 논리합 기반 비디오 스트리밍(XC: eXclusive OR-based Cast)을 위한 전송 기법을 제안한다. 두 클라이언트가 동시에 동일한 비디오를 요청하는 경우에만 단일 채널로 비디오 데이터를 전송할 수 있는 기존 멀티캐스트(MC: Multicast) 방식과 달리, 제안 방식은 두 클라이언트들이 서로 다른 비디오를 요청하는 경우에도 각 클라이언트의 캐시 정보에 따라 단일 채널로 비디오를 전송할 수 있다. 다양한 시뮬레이션을 통해서 제안된 XC를 위한 전송 기법의 성능을 스트리밍 효율성 측면에서 분석하고, 기존 방식과 비교한다. 시뮬레이션 결과를 통해, 제안 방식은 기존 방식 대비 스트리밍 효율성을 약 21%까지 개선시킬 수 있음을 확인하였다.

Keywords

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