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@c -*- texinfo -*-

@c Copyright (C) 2012 Moreno Marzolla
@c
@c This file is part of the queueing toolbox, a Queueing Networks
@c analysis package for GNU Octave.
@c
@c The queueing toolbox is free software; you can redistribute it
@c and/or modify it under the terms of the GNU General Public License
@c as published by the Free Software Foundation; either version 3 of
@c the License, or (at your option) any later version.
@c
@c The queueing toolbox is distributed in the hope that it will be
@c useful, but WITHOUT ANY WARRANTY; without even the implied warranty
@c of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
@c GNU General Public License for more details.
@c
@c You should have received a copy of the GNU General Public License
@c along with the queueing toolbox; see the file COPYING.  If not, see
@c <http://www.gnu.org/licenses/>.

@node References
@chapter References

@table @asis

@item [Aky88]
Ian F. Akyildiz, @cite{Mean Value Analysis for Blocking Queueing
Networks}, IEEE Transactions on Software Engineering, vol. 14, n. 2,
april 1988, pp. 418--428.  DOI @uref{http://dx.doi.org/10.1109/32.4663, 10.1109/32.4663}

@item [Bar79]
Y. Bard, @cite{Some Extensions to Multiclass Queueing Network Analysis},
proc. 4th Int. Symp. on Modelling and Performance Evaluation of
Computer Systems, feb. 1979, pp. 51--62.

@item [BCMP75]
Forest Baskett, K. Mani Chandy, Richard R. Muntz, and Fernando G. Palacios. 1975. @cite{Open, Closed, and Mixed Networks of Queues with Different Classes of Customers}. J. ACM 22, 2 (April 1975), 248260, DOI @uref{http://doi.acm.org/10.1145/321879.321887, 10.1145/321879.321887}

@item [BGMT98]
G. Bolch, S. Greiner, H. de Meer and
K. Trivedi, @cite{Queueing Networks and Markov Chains: Modeling and
Performance Evaluation with Computer Science Applications}, Wiley,
1998.

@item [Buz73]
Jeffrey P. Buzen, @cite{Computational Algorithms for Closed Queueing
Networks with Exponential Servers}, Communications of the ACM, volume
16, number 9, september 1973,
pp. 527--531. DOI @uref{http://doi.acm.org/10.1145/362342.362345, 10.1145/362342.362345}

@item [CMS08]
G. Casale, R. R. Muntz, G. Serazzi,
@cite{Geometric Bounds: a Non-Iterative Analysis Technique for Closed
Queueing Networks}, IEEE Transactions on Computers, 57(6):780-794,
June 2008. DOI @uref{http://doi.ieeecomputersociety.org/10.1109/TC.2008.37, 10.1109/TC.2008.37}

@item @anchor{GrSn97}[GrSn97]
Charles M. Grinstead, J. Laurie Snell, (July 1997). @cite{Introduction
to Probability}. American Mathematical Society. ISBN 978-0821807491;
this excellent textbook is @uref{http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf, available in PDF format}
and can be used under the terms of the @uref{http://www.gnu.org/copyleft/fdl.html, GNU Free Documentation License (FDL)}

@item [Jac04]
James R. Jackson, @cite{Jobshop-Like Queueing Systems}, Vol. 50, No. 12, Ten Most Influential Titles of "Management Science's" First Fifty Years (Dec., 2004), pp. 1796-1802, @uref{http://www.jstor.org/stable/30046149, available online}

@item [Jai91]
R. Jain, @cite{The Art of Computer Systems Performance Analysis},
Wiley, 1991, p. 577.

@item [HsLa87]
C. H. Hsieh and S. Lam,
@cite{Two classes of performance bounds for closed queueing networks},
PEVA, vol. 7, n. 1, pp. 3--30, 1987

@item [LZGS84]
Edward D. Lazowska, John Zahorjan, G. Scott Graham, and Kenneth C.
Sevcik, @cite{Quantitative System Performance: Computer System
Analysis Using Queueing Network Models}, Prentice Hall,
1984. @uref{http://www.cs.washington.edu/homes/lazowska/qsp/, available online}.

@item [ReKo76]
M. Reiser, H. Kobayashi, @cite{On The Convolution Algorithm for
Separable Queueing Networks}, In Proceedings of the 1976 ACM
SIGMETRICS Conference on Computer Performance Modeling Measurement and
Evaluation (Cambridge, Massachusetts, United States, March 29--31,
1976). SIGMETRICS '76. ACM, New York, NY,
pp. 109--117. DOI @uref{http://doi.acm.org/10.1145/800200.806187, 10.1145/800200.806187}

@item [ReLa80]
M. Reiser and S. S. Lavenberg, @cite{Mean-Value Analysis of Closed
Multichain Queuing Networks}, Journal of the ACM, vol. 27, n. 2, April
1980, pp. 313--322. DOI @uref{http://doi.acm.org/10.1145/322186.322195, 10.1145/322186.322195}

@item [Sch79]
P. Schweitzer, @cite{Approximate Analysis of Multiclass Closed Networks of
Queues}, Proc. Int. Conf. on Stochastic Control and Optimization, jun
1979, pp. 2529

@item [Sch81]
Herb Schwetman, @cite{Some Computational
Aspects of Queueing Network Models}, @uref{http://www.cs.purdue.edu/research/technical_reports/1980/TR%2080-354.pdf, Technical Report CSD-TR-354},
Department of Computer Sciences, Purdue University, feb, 1981
(revised).

@item [Sch82]
Herb Schwetman, @cite{Implementing the Mean Value Algorithm for the
Solution of Queueing Network Models}, @uref{http://www.cs.purdue.edu/research/technical_reports/1980/TR%2080-355.pdf, Technical Report CSD-TR-355},
Department of Computer Sciences, Purdue University, feb 15, 1982.

@item [Tij03]
H. C. Tijms, @cite{A first course in stochastic models},
John Wiley and Sons, 2003, ISBN 0471498807, ISBN 9780471498803,
DOI @uref{http://dx.doi.org/10.1002/047001363X, 10.1002/047001363X}

@item [ZaWo81]
Zahorjan, J. and Wong, E. @cite{The solution of separable queueing
network models using mean value analysis}. SIGMETRICS
Perform. Eval. Rev. 10, 3 (Sep. 1981), 80-85. DOI
DOI @uref{http://doi.acm.org/10.1145/1010629.805477, 10.1145/1010629.805477}

@end table