D. Heyman, A. Tabatabai, and T. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on Cir. and Syst. for Video Technology, Vol. 2, No. 1, March 1992, pp. 49-59. Home/Search Document Not in Database Summary Related Articles Check |
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Interactive video over ATM: state of the art - Zheng, Atiquzzaman (Correct)
....play out buffer and end to end delay based on discrete Markov chain. Source Model and Behaviors: A proper video source model is essential for the analysis of VoD systems. Video models fall into three categories: the first uses the Autoregressive Processes [29,30] the second uses Markov chains [31,32] and the third uses a combination of the above two methods [33] InRefs. 34,35] the authors presented the statistical characteristic of MPEG 2 video source. It is found that MPEG compressed video has correlation relationship between its frame, and the frame size has Gamma distribution. Coding ....
D.P. Heyman, A. Tabatabai, T.V. Lakshman, Statistical analysis and simulation study of video teleconference traffic in ATM network, IEEE Transactions on Circuits and Systems for Video Technolgy 2 (1) (1992) 49 -- 59.
Efficient Real-Time Generation of a Large Class of .. - Loukatos.. (2001) (Correct)
....profiles is quite general and can accurately represent a wide range of bursty network traffic, originating from various applications. Plain Markov modulated rate processes (featuring exponentially distributed state sojourns) have been successfully employed for representing voice [4,10] video [6,7,11,12] and data [3,13] traffic. The additional generality offered by the semiMarkovian models, namely the ability of specifying general probability distribution functions for the state durations, permits accurate modeling of traffic subject to shaping (e.g. leaky bucket based regulation) or throttle ....
D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks", IEEE Trans. Circuits, Syst, Video Technol., Vol. 2 No. 1, pp. 4959, 1992.
Real-Time Transport of MPEG Video with a Statistically.. - Kweon, Shin (2001) (1 citation) (Correct)
....and B (Bidirectional) frames alternate. Accurate character ization of these compressed data streams is essential for real time transport of such data over ATM networks. Numerous models have previously been proposed for VBR video under various compression schemes [26] 31] 32] 33] [34], 35] 36] 37] 38] 39] 40] 41] 42] 43] 44] 45] Since the VBR behavior of a video stream strongly depends on the compression technique used, many of these models do not characterize MPEG coded video which is now widely accepted as a standard for transmission and storage of ....
D.P. Heyman, A. Tabatabai, and T. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconferencing in ATM Networks," IEEE Trans. Circuits and Systems for Video Technology, vol. 2, no. 1, pp. 49-59, Mar. 1992.
Rate Control for VBR Video Coders in Broad-Band Networks - Hamdi, Roberts, Rolin (1997) (22 citations) (Correct)
.... [26] and [29] For certain applications such as videoconferencing, it may be possible to characterize the output succinctly in terms of a small number of parameters such as the first two moments of the per frame bit rate and the coefficient of an assumed exponential autocorrelation function [17]. These parameters can be used in Markovian models to evaluate the performance of a network multiplexer (e.g. 6] However, such statistical parameters cannot be efficiently policed. For less stereotyped video sequences, even these parameters are inadequate since the distribution of output rate ....
D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks," IEEE Trans. Circuits Syst. Video Technol., vol. 2, pp. 49--59, Mar. 1992.
Performance Analysis Of The Knockout Switch Under Bursty.. - Kant, Sanders (1998) (1 citation) (Correct)
....exist and are independent of the initial state. Thus, 7i,j, k limn .oo r , and (1) becomes i,j,k CLP = i,j,k J ri,j,k (2) P Equation (2) gives the limiting CLP as seen by the switch. 5 B Workload model Many bursty traffic models exist in the literature, ranging from among others [5, 6, 9, 11, 16, 17] characterized by MarkovJan models, to the more recent study in self similar traffic [10] and long range models [14] The choice of an appropriate traffic model to capture the diverse traffic in B ISDNs is however a matter of debate, as is the characterization of the input traffic mix to the ....
D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks," IEEE Transactions on Circuits and Systems for Video Technology, vol. 2, no. 1, pp. 49-59, 1992.
VBR Video Source Characterization And A Practical.. - Cselényi, Molnár (Correct)
.... quality and optimal usage of network resources [4,8] A number of different models have been proposed for VBR video modeling (for an overview see [9,25] The large variety of modeling approaches can be divided into the following three categories: Markov models [1,17] autoregressive processes [10,23] and fractal models [18,28] However, all common to these approaches that a specific stochastic process is chosen and the parameters are set by a specific method to fit some statistics of the real source. This methodology can be regarded as a black box approach, which is based merely on the ....
D. P. Heyman, A. Tabatabai, T. V. Lakshman, Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 2, No. 1 (1992).
Traffic Management in Integrated Services Networks - Garg (1999) (Correct)
....process with marginal Gaussian probability density function and an exponential autocorrelation function. A more sophisticated autoregressive moving average process (ARMA) was used to model the video trac in [9] Similarly, there are number of other trac models for VBR video have been proposed [10, 11, 12, 13, 7, 14]. Most of this work is based on statistical modeling of video trac and cannot be applied directly to carry out trac policing. The work on bounding trac models (the models characterizing the worst case behavior) is limited. Moreover, some of the work used video traces of small duration for ....
D. P. Heyman, A. Tabatabai, and T. V. Lakshman, \Statistical analysis and simulation study of video teleconference trac in ATM networks," IEEE Transactions on Circuits and Systems for Video Technology, pp. 49-59, 1992.
Traffic Modeling: Matching the Power Spectrum and - Distribution Lalita Kulkarni (Correct)
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D. Heyman, A. Tabatabai, and T. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on Cir. and Syst. for Video Technology, Vol. 2, No. 1, March 1992, pp. 49-59.
Efficient Modeling of VBR MPEG-1 Coded Video Sources - Doulamis, Doulamis.. (2000) (Correct)
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D. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks," IEEE Trans. Circuits Syst. Video Technol., vol. 2, pp. 49--59, 1992.
Non Linear Traffic Modeling Of Vbr Mpeg-2 - Video Sources Anastasios (Correct)
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D. Heyman, A. Tabatabai and T. V. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on CSVT, Vol. 2, pp. 49-59, 1992.
Traffic Characterisation and Modelling - Of Vbr Coded (Correct)
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Heyman, D, Tabatabai, A. and Lakshman, T. V. (1992) Statistical analysis and simulation study of video teleconference traffic in ATM networks. IEEE Trans. On Circ. and Syst. for Video Technol., vol. 2, pp.49-59.
Statistical Multiplexing and Quality of Service Control .. - Sources Anastasios.. (Correct)
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D. Heyman, A. Tabatabai and T. V. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on Circuits. and Systs. for Video Techn., vol. 2, pp. 49-59, 1992.
Prediction of Cell Losses for VBR MPEG Encoders - Doulamis, Doulamis, Kollias (Correct)
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D. Heyman, A. Tabatabai and T. V. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on Circ. and Syst. for Video Techn., vol. 2, pp. 4959, 1992.
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D. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks," IEEE Trans. Circuits. Syst. Video Technol., vol. 2, pp. 49--59, Mar. 1992.
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D. Heyman, A. Tabatabai and T. V. Lakshman, "Statistical Analysis and Simulation Study of VideoTeleconference Traffic in ATM Networks," IEEE Trans. on Circ. and Syst. for Video Techn., vol. 2, pp. 49-59, 1992.
Modeling of Network Traffic - Dua (2000) (Correct)
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D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference trafficinATM networks,"IEEE Trans. on Circuits and System for Video Technology, Vol. 2, No. 1, pp. 49-59, March 1992.
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D. Heyman, A. Tabatabai and T. V. Lakshman, "Statistical Analysis and Simulation Study of Video Teleconference Traffic in ATM Networks," IEEE Trans. on Circuits. and Systems. for Video Techn., vol. 2, pp. 49-59, 1992.
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Simple and Efficient Models for Variable Bit Rate MPEG Video Traffic - Rose (1995) (22 citations) (Correct)
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D. P. Heyman, A. Tabatabai, and T. V. Lakshman. Statistical analysis and simulation study of video teleconference traffic in ATM networks. IEEE Transactions on Circuits and Systems for Video Technology,2( Mar. 1992.
A Memory Markov Chain Model for VBR Traffic with Strong Positive.. - Rose (1997) (5 citations) (Correct)
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D. P. Heyman, A. Tabatabai, and T. V. Lakshman. Statistical analysis and simulation study of video teleconference tra#c in ATM networks. IEEE Transactions on Circuits and Systems for Video Technology, 2(1):49--59, Mar. 1992.
Cell Loss Analysis of Broadband Switching Systems Carrying VBR .. - Frater, Rose (1995) (12 citations) (Correct)
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D. Heyman, A. Tabatabai, and T. V. Lakshman. Statistical analysis and simulation study of video teleconference traffic in ATM networks. IEEE Trans. Circuits and Systems for Video Technology,2(1):-- March 1992.
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D. P. Heyman, A. Tabatabai, and T. V. Lakshman. Statistical analysis and simulation study of video teleconference traffic in ATM networks. IEEE Transactions on Circuits and Systems for VideoTechnology, 2(1):49--59, March 1992.
Real-Time Transport of MPEG Video with a Statistically.. - Kweon, Shin (1999) (1 citation) (Correct)
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D. P. Heyman, A. Tabatabai, and T. Lakshman, "Statistical analysis and simulation study of video teleconferencing in ATM networks," IEEE Trans. on Circuits and Systems for Video Technology, vol. 2, no. 1, pp. 49--59, March 1992.
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D.P. Heyman, A. Tabatabai and T.V. Lakshman, Statistical analysis and simulation study of video teleconference traffic in ATM network, IEEE Trans. Circuits and Systems for Video Te&nolgoy 2(I) (1992), 49-59.
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