Journal of the Institute of Electronics Engineers of Korea CI (전자공학회논문지CI)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Selective Video Data Deletion Algorithm to Free Up Storage Space in Video Proxy Server

비디오 프록시 서버에서의 저장 공간 확보를 위한 선택적 동영상 데이터 삭제 알고리즘

  • Lee, Jun-Pyo (Department of Computer Science and Engineering, Hanyang University) ;
  • Park, Sung-Han (Department of Computer Science and Engineering, Hanyang University)
  • 이준표 (한양대학교 컴퓨터공학과) ;
  • 박성한 (한양대학교 컴퓨터공학과)
  • Published : 2009.07.25
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Abstract

Video poxy server which is located near clients can store the frequently requested video data in storage space in order to minimize initial latency and network traffic significantly. However, due to the limited storage space in video proxy server, an appropriate deletion algorithm is needed to remove the old video data which is not serviced for a long time. Thus, we propose an efficient video data deletion algorithm for video proxy server. The proposed deletion algorithm removes the video which has the lowest request possibility based on the user access patterns. In our algorithm, we arrange the videos which are stored in video proxy server according to the requested time sequence and then, select the video which has the oldest requested time. The selected video is partially removed in order to free up storage space in video poky server. The simulation results show that the proposed algorithm performs better than other algorithms in terms of the block hit rate and the number of block deletion.

비디오 프록시 서버는 사용자와 근거리에 위치한 서버로서 자주 요청되는 동영상 데이터들을 저장하고 사용자에게 직접 전송함으로써 초기 전송 지연과 네트워크 트래픽을 효과적으로 감소시킨다. 그러나 비디오 프록시 서버는 원격지의 중앙 비디오 서버에 비해 비교적 제한된 저장 공간을 가진다. 따라서 오랜 시간동안 사용자에 의해 요청되지 않은 동영상 데이터를 비디오프록시 서버로부터 제거하는 삭제 알고리즘이 필요하다. 본 논문에서는 사용자의 동영상 요청 패턴을 기반으로 하여 사용자에 의해 요청될 가능성이 가장 낮은 동영상을 선정하고 제거하는 효율적인 동영상 데이터 삭제 알고리즘을 제안한다. 제안하는 삭제 알고리즘은 비디오 프록시 서버의 공간 부족 시 저장되어 있는 동영상들을 요청된 순서로 정렬하고 여기서 가장 오래전에 사용자에 의해 요청되었던 동영상을 선정한다. 선정된 동영상에서 요청 가능성이 낮은 부분만이 선별되어 삭제됨으로써 비디오 프록시 서버의 저장 공간을 확보한다. 실험을 통해 제안하는 알고리즘이 기존의 알고리즘 보다 높은 적중률을 보이는 동시에 보다 적은 삭제 횟수를 보인다는 것을 확인한다.

Keywords

References

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