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Adaptive Interval-Based Caching Management Scheme for Cluster Video Server

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3044))

Abstract

In a video server, a good buffer management scheme can reduce the number of disk I/O. Traditional buffer replacement algorithms such as LRU (least recently used) and MRU (most recently used) only aim at increasing buffer hit ratio, can not guarantee the continuous and real-time needs for continuous media. Interval-based caching scheme can efficiently support cache share, which is a good candidate for video server cache management. In this paper, we propose a new interval-based caching scheme PISR (adaptive dynamic Preemptive Interval-based caching with Size and Rate), which can fit for heterogeneity environments. Our scheme is proven to outperform the original PIS (preemptive interval-based caching with size) and PIR (preemptive interval-based caching with rate) by simulation and performance evaluation.

This paper is supported by National 863 Hi-Tech R&D project under grant No. 2002AA1Z2102.

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References

  1. Andronache, V., Sha, E.H.-M., Passos, N.: Design of efficient application-specific page replacement techniques for distributed memory systems. In: Proceedings of 2000 Conference on Parallel and Distributed Computing and Systems, IASTED, pp. 551–556. ACTA Press (2000)

    Google Scholar 

  2. Arlitt, M.F., Williamson, C.L.: Internet web server: workload characterization and performance implications. IEEE/ACM Transactions on Networking 5(5), 631–645 (1997)

    Article  Google Scholar 

  3. Brooks, B.: Quantitative analysis in the humanities: the advantage of ranking techniques. Studies on Zipf’s Law, pp. 65–115 (1982)

    Google Scholar 

  4. Choi, J., Lee, D., Noh, S.H.: Characterization and automatic detection of block reference patterns. Journal of KISS (A) (Computer Systems and Theory) 26(9), 1083–1095 (1999)

    Google Scholar 

  5. Dan, A., Sitaram, D.: A generalized interval caching policy for mixed interactive and long video workloads. In: Proceedings of the SPIE Multimedia Computing and Networking 1996, SPIE, pp. 344–351 (1996)

    Google Scholar 

  6. Kim, J.M., Choi, J., Kim, J.: A low-overhead, high-performance unified buffer management scheme that exploits sequential and looping reference. In: Proceedings of 4th Symposium on Operating Systems Design and Implementation (OSDI 2000), USENIX Assoc., pp.119–134 (2000)

    Google Scholar 

  7. Kimbrel, T., Tomkins, A., Patterson, R.H., Bershad, B., Cao, P., Felten, E.W., Gibson, G.A., Karlin, A.R., Li, K.: A trace-driven comparison of algorithms for parallel prefetching and caching. In: Proceedings of Second USENIX Symposium on Operating Systems Design and Implementation (OSDI), Operating System Review. Special Issue, vol. 30, pp. 19–34 (1996)

    Google Scholar 

  8. Ko, J.-S., Lee, J.-W., Yeom, H.-Y.: An alternative scheme to LRU for efficient page replacement. Journal of KISS (A) (Computer Systems and Theory) 23(5), 478–486 (1996)

    Google Scholar 

  9. Lee, D., Noh, S.H., Sang, L.M.: LRFU: a block replacement policy that exploits infinite history of references. Journal of KISS (A) (Computer Systems and Theory) 24(7), 632–641 (1997)

    Google Scholar 

  10. O’Neil, E.J., O’Neil, P.E., Weikum, G.: An optimality proof of the LRU-K page replacement algorithm. Journal of the ACM 46(1), 92–112 (1999)

    Article  MATH  MathSciNet  Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Jin, H., Li, Y., Li, S. (2004). Adaptive Interval-Based Caching Management Scheme for Cluster Video Server. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_13

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  • DOI: https://doi.org/10.1007/978-3-540-24709-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22056-5

  • Online ISBN: 978-3-540-24709-8

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