Buffer replacement algorithm for merge-based multicast video-on-demand system

The traditional buffer replacement algorithms do not perform well in the multicast video-on-demand (VoD) systems. In this paper, we propose a new algorithm, named urgent overlap frequency (UOF), for merge-based multicast VoD servers. It makes good use of the merge property of the multicast channels. Unlike traditional ones that consider time urgent degree or access frequency, three factors, i.e. time urgent degree, access overlap and access frequency, are considered in UOF algorithm. The experimental results show that UOF can increase the hit ratio 90% over LRU/MRU and 20% over BASIC algorithm in multicast circumstance. Additionally, the hit ratio of the UOF algorithm is only 4% lower than the theoretic optimal result, so it is very suitable for merge-based multicast VoD system.

[1]  Asit Dan,et al.  Buffering and caching in large-scale video servers , 1995, Digest of Papers. COMPCON'95. Technologies for the Information Superhighway.

[2]  Mary K. Vernon,et al.  Optimal and efficient merging schedules for video-on-demand servers , 1999, MULTIMEDIA '99.

[3]  Banu Özden,et al.  Buffer replacement algorithms for multimedia storage systems , 1996, Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems.

[4]  Heon Young Yeom,et al.  Exploiting caching for realtime multimedia systems , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[5]  I. Rhee,et al.  Multicast with cache (Mcache): an adaptive zero-delay video-on-demand service , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[6]  Tsang-Ling Sheu,et al.  A buffer allocation mechanism for VBR video playback , 2000, WCC 2000 - ICCT 2000. 2000 International Conference on Communication Technology Proceedings (Cat. No.00EX420).

[7]  Mary K. Vernon,et al.  Minimizing Bandwidth Requirements for On-Demand Data Delivery , 2001, IEEE Trans. Knowl. Data Eng..

[8]  Richard E. Ladner,et al.  Comparison of stream merging algorithms for media-on-demand , 2001, IS&T/SPIE Electronic Imaging.