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Bibliography

1
D. Anick, D. Mitra, and M.M. Sondhi. Stochastic theory of a data-handling system with multiple sources. Bell Syst. Tech. J., 61(1982), 1871-1894.

2
A. Baiocchi, Analysis of the loss probability of the MAP/G/1/K queue, Part I: Asymptotic theory. Commun. Statist.-Stochastic Models, 10(4)(1994), 867-893.

3
A. Baiocchi, N. Bléfari-Melazzi, A. Roveri and F. Salvatore. Stochastic fluid analysis of an ATM multiplexer loaded with heterogeneous ON-OFF sources: An effective computational approach. Proc. INFOCOM '92, 3C.3.1-3C.3.10, 1992.

4
C. Blondia and O. Casals, Performance analysis of statistical multiplexing of VBR sources: A matrix-analytical approach, Performance Evaluation, Vol. 16, 1992, 5-20.

5
C.S. Chang, P. Heidelberger, S. Juneja and P. Shahabuddin, Effective bandwidth and fast simulation of ATM intree networks, Proc. Performance '93, Rome, Italy, October 1993.

6
A. Cuyt. General order multivariate rational Hermite interpolants. Habilitation, University of Antwerp, 1986.

7
A. Cuyt. A recursive computational scheme for multivariate rational interpolants. SIAM J. Numer. Anal., 24(1987), 2364-2371.

8
A. Cuyt and R.B. Lenin. Multivariate rational approximants for multiclass closed queuing networks. IEEE Trans. Computers, 50(11)(2001), 1279-1288.

9
Annie Cuyt and R.B. Lenin. Computing packet loss probabilities in multiplexer models using adaptive rational interpolation with optimal pole placement. Submitted, 2002.

10
Annie Cuyt, R.B. Lenin and Van der Borght. Sensitivity analysis and fast computation of packet loss probabilities in multiplexer models. In NACOM-2003, Anglia Polytechnic University, Cambridge, United Kingdom (Ed. T.E. Simos), May 2003.

11
Annie Cuyt, R.B. Lenin, Gert Willems, Chris Blondia and Peter Rousseeuw. Computing packet loss probabilities in multiplexer models using rational approximation. IEEE Trans. Computers, 52(5)(2003), 1-12.

12
E. Falkenberg, On the asymptotic behavior of the stationary distribution of Markov chains of M/G/1-type, Commun. Statist. Stochastic Models, 10(1994), 75-97.

13
D.P. Gaver and J.P. Lehoczky. Channels that cooperatively service a data stream and voice messages. IEEE Trans. Commun., 28(1982), 1153-1162.

14
P. Glasserman and D. Yao. Monotone Structure in Discrete-Event Systems. New York: Wiley, 1994.

15
W.B. Gong, S. Nananukal and A. Yan. Padé approximation for stochastic discrete event systems. IEEE Trans. Automatic Control, 40(8)(1995), 1349-1358.

16
H. Heffes and D.M. Lucantoni. A Markov modulated characterization of packetized voice and data traffic and related statistical multiplexer performance. IEEE JSAC 4(6)(1986), 856-868.

17
I. Ide. Superposition of interrupted Poisson processes and its application to packetized voice multiplexers. Proc. ITC-12 (1988).

18
D.L. Jagerman, B. Melamed and W. Willinger. Stochastic modeling of traffic processes. In Frontiers in Queueing: Models, Methods and Problems (ed. J. Dshalalow). CRC Press, 1996.

19
A.E. Kamal, Efficient solution of multiple server queues with application to the modeling of ATM concentrators, Proceedings of IEEE Infocom '96, San Francisco, CA, March 1996, 248-254.

20
K.P. Kontovasilis and N.M. Mitrou. Bursty traffic modeling and efficient analysis algorithms via fluid-flow models for ATM-IBCN. Ann. Oper. Res., 49(1994), Special Issue on Methodologies for High Speed Networks, 279-323.

21
A. Kuczura. The interrupted Poisson process as an overflow process. Bell Syst. Tech. J. 52(1973).

22
G. Latouche and V. Ramaswami. A logarithmic reduction algorithm for quasi-birth-death processes. J. Appl. Probab. 30(1993), 650-674.

23
Z. Liu, P. Nain, D. Towsley, Exponentially bounds with an application to call admission, Univ. Mass, Comp. Sci., Dept., Amherst, MA, Tech. Rep. TR94-63, October 1994.

24
D.M. Lucantoni. New results for the single server queue with a batch Markovian arrival process. Stochastic Models 7(1991), 1-46.

25
D.M. Lucantoni, K.S. Meier-Hellstern and M.F. Neuts. A single-server queue with server vacations and a class of non-renewal arrival processes. Adv. Appl. Prob. 22(1990), 676-705.

26
M.F. Neuts, Structured Stochastic Matrices of M/G/1 Type and their Applications, Marcel Dekker, 1989.

27
M.F. Neuts. A versatile Markovian point process. J. Appl. Probab., 22(1990), 676-705.

28
P.R. Parthasarathy, K. Vijayashree and R.B. Lenin. An $M/M/1$ driven fluid queue. QUESTA, 42(2002), 189-199.

29
P.R. Parthasarathy, K. Vijayashree and R.B. Lenin. Fluid queues driven by a birth and death process with alternating flow rates. Mathematical Problems in Engineering, (2004), 1-21.

30
H. Saito, M. Kawarasaki and H. Yamada. An analysis of statistical multiplexing in an ATM transport network. IEEE JSAC 9(3)(1991), 359-367.

31
P. Skelly, M. Schwartz and S. Dixit. A histogram-based model for video traffic behaviour in an ATM multiplexer. IEEE/ACM Trans. Networking 1(4)(1993), 446-459.

32
B. Van Houdt and C. Blondia. The delay distribution of a type $K$ customer in a FCFS MMAP[K]/PH[K]/1 queue. J. Appl. Probab. 39(1)(2001), 213-233.

33
B. Van Houdt, R.B. Lenin and C. Blondia. Delay distribution of (im)patient customers in a discrete time D-MAP/PH/1 queue with age dependent service times. Submitted, 2002.

34
K. Wuyts and R.K. Boel, A matrix geometric algorithm for finite buffer systems with B-ISDN applications, Proceedings of the ITC Specialists Seminar on Control in Communications, Lund, Sweden, 1996, 265-276.

35
H. Yang, D. Towsley and W. Gong. Efficient calculation of cell loss in ATM multiplexers. In IEEE Globecome' 95, 1995, 1226-1230.



Lenin Bhavanandan 2006-03-28