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[1] H. Taylor, D. Chin, and S. Knight, The Magic Video-on-Demand Server and Real-Time Simulation System, IEEE Parallel and Distributed Technology: Systems and Applications, vol. 3, no. 2, 1995, pp. 40 51. [2] R. Buck, The Oracle Media Server for nCube Massively Parallel Systems, Proceedings of 8th International Parallel Processing Symposium, 1994, pp. 670 73. [3] N. Venkatasubramanian and S. Ramanthan, Load Management in Distributed Video Servers, Proceedings of 17th International Conference on Distributed Computing Systems, Baltimore, MD, USA, May 1997, pp. 528 535. [4] C.C. Bisdikian and B.V. Patel, Issues on Movie Allocation in Distributed Video-on-Demand Systems, Proceedings of ICC 95, Seattle, WA, USA, June 1995, pp. 250 255. [5] A.L. Cherenal, Tertiary Storage: An Evaluation of New Applications, PhD dissertation, University of California, Berkeley, Dec. 1994. [6] C. Griwodz, M. Bar, and L.C. Wolf, Long-term Movie Popularity Models in Video-on-Demand Systems or The Life of an On-Demand Movie, Proceedings of Multimedia 97, Nov. 1997, pp. 349 357. [7] Y.S. Chen, Mathematical Modeling of Empirical Laws in Computer Application: A Case Study, Comput. Math. Applicat., Oct. 1992, pp. 77 87. [8] E. Biersack, W. Geyer, and C. Bernhardt, Intra- and Inter-Stream Synchronization for Stored Multimedia Streams, Proceedings of IEEE International Conference on Multimedia Computing & Systems, 17 23, June 1996, Hiroshima, Japan. [9] C. Bernhardt and E. Biersack, The Server Array: A Scalable Video Server Architecture, in High-Speed Networks for Multimedia Applications, Kluwer Press, 1996. [10] W.J. Bolosky, J.S. Barrera, III, R.P. Draves, R.P. Fitzgerald, G.A. Gibson, M.B. Jones, S.P. Levi, N.P. Myhrvold, and R.F. Rashid, The Tiger Video Fileserver, Proceedings of of the Sixth International Workshop on Network and Operating System Support for Digital Audio and Video. IEEE Computer Society, Zushi, Japan, April 1996.

All three of these retention mechanisms may be applied to macromolecular solutes that are present in aqueous solutions, and function well under mild conditions of temperature and pH 145 SIZE EXCLUSION (GEL FILTRATION) CHROMATOGRAPHY Neutral, particulate gel media have been shown to give separations related to the size of the components of a mixture This was discovered independently for polymers dissolved in organic solvents, and for biomolecules in aqueous media Separation is nondestructive, and will occur under mild conditions In addition, separations are usually independent of the composition of the mobile phase; thus, the mobile-phase composition may be selected to suit the species being separated, for the stability of these components One disadvantage of this independence is that gradients with varying eluting power do not exist for gel ltration separations.

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Impact of Self-similarity on Jitter Performance evaluation under self-similar traf c conditions has focused on rst-order performance measures such as packet loss rate and mean queueing delay Second-order performance measures that relate to jitter for example, delay variance and packet loss variance are of import to multimedia data transport and QoS provisioning Even under conditions where selfsimilarity has limited impact on performance with respect to rst-order measures, persistent periods of high and low contention implied by self-similar burstiness can exert a negative effect on second-order performance measures Figure 211 shows packet drop traces at a bottleneck router where 32 TCP Reno connections are multiplexed on a common output port Each connection transports heavy-tailed les, and the four traces stem from the same set-up except that the shape parameter (or tail index) of the heavy-tailed distribution (Pareto) is varied in the range 105, 135, 165, 195.

[11] MM Buddhikot and GM Parulkar, Ef cient Data Layout, Scheduling and Playout Control in MARS, Proceedings of NOSSDAV 95, 1995 [12] CS Freedman and DJ DeWitt, The SPIFFI Scalable Video-on-Demand System, Proceedings of ACM SIGMOD 95, June 1995 [13] YB Lee and PC Wong, A Server Array Approach for Video-on-demand Service on Local Area Networks, IEEE INFOCOM 96, California, USA, March 1996 [14] PC Wong and YB Lee, Redundant Array of Inexpensive Servers (RAIS) for On-Demand Multimedia Services, Proceedings of ICC 97, Montreal, Canada, June 8 12, 1997 [15] P Lougher, D Pegler, and D Shepherd, Scalable Storage Servers for Digital Audio and Video, Proceedings of IEE International Conference on Storage and Recording Systems 1994, University of Keele, Keele, UK, 5 7 April 1994, pp 140 143 [16] A.

The plots depict packet drop traces at 100 second time aggregation We observe signi cant variation in packet drops across different 100 second time segments for the a 1:05 tail index case, which diminishes as a approaches 2 This is even more pronounced when the ows are open-loop controlled over UDP Given the dif culties underlying queueing analysis of nite buffer systems with selfsimilar input with respect to rst-order performance measures, the challenges facing queueing analysis for second-order measures are even greater There is, however, a special case bufferless queueing that is more amenable to tractable analysis (see 17 for a discussion of bufferless queueing in the context of predictive control).

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