How to improve the performance of ATM multiplexers
暂无分享,去创建一个
[1] Tomasz Rolski,et al. A MONOTONICITY RESULT FOR THE WORKLOAD IN MARKOV-MODULATED QUEUES , 1998 .
[2] Hong Chen,et al. Hierarchical Modeling of Stochastic Networks, Part I: Fluid Models , 1994 .
[3] U. Rieder,et al. Comparison Results for Markov-Modulated Recursive Models , 1997, Probability in the Engineering and Informational Sciences.
[4] D. Mitra. Stochastic theory of a fluid model of producers and consumers coupled by a buffer , 1988, Advances in Applied Probability.
[5] John A. Buzacott,et al. Stochastic models of manufacturing systems , 1993 .
[6] J. George Shanthikumar,et al. Discrete storage processes and their Poisson flow and fluid flow approximations , 1996, Queueing Syst. Theory Appl..
[7] San-qi Li,et al. Performance Trade-Offs in an Integrated Voice/Data Services TDM System , 1988, Perform. Evaluation.
[8] J. George Shanthikumar,et al. Regularity of Stochastic Processes: A Theory Based on Directional Convexity , 1993 .
[9] Keith W. Ross,et al. Multiservice Loss Models for Broadband Telecommunication Networks , 1997 .
[10] A.I. Elwalid,et al. Statistical multiplexing with loss priorities in rate-based congestion control of high-speed networks , 1994, IEEE Trans. Commun..
[11] Nicole Bäuerle,et al. The advantage of small machines in a stochastic fluid production process , 1998, Math. Methods Oper. Res..
[12] J. Harrison,et al. Brownian motion and stochastic flow systems , 1986 .
[13] Moshe Shaked,et al. Stochastic orders and their applications , 1994 .
[14] Michael Pinedo,et al. Integration of Discrete-Time Correlated Markov Processes in a TDM System , 1990, Probability in the Engineering and Informational Sciences.
[15] N. Bäuerle. Inequalities for stochastic models via supermodular orderings , 1997 .