Efficient simulation of network performance by importance sampling
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[1] Richard M. Fujimoto,et al. Parallel discrete event simulation , 1990, CACM.
[2] Michel Mandjes. Rare Event Analysis of Communication Networks , 1996 .
[3] Paul Glasserman,et al. Analysis of an importance sampling estimator for tandem queues , 1995, TOMC.
[4] Michael Devetsikiotis,et al. Modeling and simulation of self-similar variable bit rate compressed video: a unified approach , 1995, SIGCOMM '95.
[5] Poul E. Heegaard,et al. Speedup simulation techniques (survey) , 1997 .
[6] James A. Bucklew,et al. Large Deviation Techniques in Decision, Simulation, and Estimation , 1990 .
[7] Stephen S. Lavenberg,et al. Computer Performance Modeling Handbook , 1983, Int. CMG Conference.
[8] Michel Mandjes. Rare event analysis of batch-arrival queues , 1996, Telecommun. Syst..
[9] David R. Jefferson,et al. Virtual time , 1985, ICPP.
[10] R. O. Andereassen. Correlation properties of MPEG VBR video sources: relative importance of short and medium term correlation on ATM multiplexer performance , 1996 .
[11] Kurt Majewski. Heavy traffic approximations of large deviations of feedforward queueing networks , 1998, Queueing Syst. Theory Appl..
[12] Carmelita Görg,et al. Rare Event Simulation: a modified RESTART-Method using the LRE-Algorithm , 1994 .
[13] David M. Nicol,et al. Parallel execution for serial simulators , 1996, TOMC.
[14] Catherine C. McGeoch. Analyzing algorithms by simulation: variance reduction techniques and simulation speedups , 1992, CSUR.
[15] Victor F. Nicola,et al. Efficient simulation of consecutive cell loss in ATM networks , 1995, Modelling and Evaluation of ATM Networks.
[16] Paul Glasserman,et al. Splitting for rare event simulation: analysis of simple cases , 1996, Winter Simulation Conference.
[17] Philip Heidelberger,et al. Efficient estimation of the mean time between failures in non-regenerative dependability models , 1993, WSC '93.
[18] Michael Devetsikiotis,et al. Statistical optimization of dynamic importance sampling parameters for efficient simulation of communication networks , 1993, TNET.
[19] Manuel Villén-Altamirano,et al. Enhancement of the Accelerated Simulation Method RESTART by Considering Multiple Thresholds , 1994 .
[20] Oliver Rose,et al. Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems , 1995, Proceedings of 20th Conference on Local Computer Networks.
[21] Marie Cottrell,et al. Large deviations and rare events in the study of stochastic algorithms , 1983 .
[22] Poul E. Heegaard,et al. A Technique for Measuring Rare Cell Losses in ATM Systems , 1994 .
[23] P. Glasserman,et al. A Look At Multilevel Splitting , 1998 .
[24] Poul E. Heegaard,et al. Speed-up techniques for simulation , 1995 .
[25] Philip Heidelberger,et al. Fast simulation of rare events in queueing and reliability models , 1993, TOMC.
[26] Halim Damerdji. Proceedings of the 1993 Winter Simulation Conference G.W. Evans, M. Mollaghasemi, E.C. Russell, W.E. Biles (eds.) PARAMETRIC INFERENCE FOR GENERALIZED SEMI-MARKOV PROCESSES , 1993 .
[27] Marvin K. Nakayama. A characterization of the simple failure-biasing method for simulations of highly reliable Markovian Systems , 1994, TOMC.
[28] Marwan Krunz,et al. Statistical characteristics and multiplexing of MPEG streams , 1995, Proceedings of INFOCOM'95.
[29] Michel Mandjes,et al. Finding the Conjugate of Markov Fluid Processes , 1995 .
[30] Bjarne E. Helvik,et al. The Synthesized Traffic Generator; Objectives, Design and Capabilities , 1993, Integrated Broadband Communications.
[31] P. N. Tudor. MPEG-2 video compression , 1995 .
[32] Yi-Bing Lin,et al. Parallel Independent Replicated Simulation on a Network of Workstations , 1994, PADS '94.
[33] H. T. Mouftah,et al. Computer-aided modeling, analysis, and design of communication networks , 1988, IEEE J. Sel. Areas Commun..
[34] Ugo Mocci,et al. Broadband Network Teletraffic: Final Report of Action COST 242 , 1996 .
[35] Michael R. Frater,et al. Fast simulation of buffer overflows in tandem networks ofGI/GI/1 queues , 1994, Ann. Oper. Res..
[36] H. D. Miller,et al. The Theory Of Stochastic Processes , 1977, The Mathematical Gazette.
[37] Didier Le Gall,et al. MPEG: a video compression standard for multimedia applications , 1991, CACM.
[38] Jean Walrand,et al. A quick simulation method for excessive backlogs in networks of queues , 1989 .
[39] P. Glynn. A GSMP formalism for discrete event systems , 1989, Proc. IEEE.
[40] Poul E. Heegaard. - 1-COMPARISON OF SPEED-UP TECHNIQUES FOR SIMULATION , 1995 .
[41] George Kesidis,et al. Quick simulation of ATM buffers , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.
[42] Jean C. Walrand,et al. Quick simulation of ATM buffers with on-off multiclass Markov fluid sources , 1993, TOMC.
[43] Pierre L'Ecuyer,et al. Importance sampling for large ATM-type queueing networks , 1996, Winter Simulation Conference.
[44] Philip Heidelberger,et al. Varaince reduction in mean time to failure simulations (1988) , 2007, WSC '07.
[45] Dipankar Raychaudhuri,et al. Variable Bit Rate Mpeg Video: Characteristics, Modeling and Multiplexing , 1994 .
[46] Philip Heidelberger,et al. Effective Bandwidth and Fast Simulation of ATM Intree Networks , 1994, Perform. Evaluation.
[47] F. Kelly. Blocking probabilities in large circuit-switched networks , 1986, Advances in Applied Probability.
[48] Poul E. Heegaard. A SCHEME FOR ADAPTIVE BIASING IN IMPORTANCE SAMPLING , 1997 .
[49] Michel Mandjes,et al. Overflow Asymptotics for large Communications Systems with General Markov Fluid Sources , 1996, Probability in the Engineering and Informational Sciences.
[50] A. Lešanovský. Multistate Markov models for systems with dependent units , 1988 .
[51] Jean Walrand,et al. Quick simulation of excessive backlogs in networks of queues , 1986, 1986 25th IEEE Conference on Decision and Control.
[52] J. Banks,et al. Discrete-Event System Simulation , 1995 .
[53] Barry L. Nelson,et al. Simulation Methodology for Statisticians, Operations Analysts, and Engineers, Volume I , 1989 .
[54] Philip Heidelberger,et al. Fast simulation of packet loss rates in a shared buffer communications switch , 1995, TOMC.
[55] K NakayamaMarvin. A characterization of the simple failure-biasing method for simulations of highly reliable Markovian Systems , 1994 .
[56] Paul Bratley,et al. A guide to simulation , 1983 .
[57] Stephen Wolfram,et al. Mathematica: a system for doing mathematics by computer (2nd ed.) , 1991 .
[58] Poul E. Heegaard. RARE EVENT PROVOKING SIMULATION TECHNIQUES , 1995 .
[59] Christian Kelling. A framework for rare event simulation of stochastic Petri nets using “RESTART” , 1996, Winter Simulation Conference.
[60] Predrag R. Jelenkovic,et al. Multiple time scales and subexponentiality in MPEG video streams , 1996 .
[61] Philip Heidelberger,et al. A Unified Framework for Simulating Markovian Models of Highly Dependable Systems , 1992, IEEE Trans. Computers.
[62] Victor S. Frost,et al. Some new efficient techniques for the simulation of computer communications networks , 1988, IEEE J. Sel. Areas Commun..
[63] Philip Heidelberger,et al. Bounded relative error in estimating transient measures of highly dependable non-Markovian systems , 1994, TOMC.
[64] Derek R. Wilson,et al. Fast Parallel Simulation of SS7 Telecommunication Networks , 1993, MASCOTS.
[65] José Villén-Altamirano,et al. RESTART: a straightforward method for fast simulation of rare events , 1994, Proceedings of Winter Simulation Conference.