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Computational algorithms for product form queueing networks
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Communications of the ACM archive
Volume 23 ,  Issue 10  (October 1980) table of contents
Pages: 573 - 583  
Year of Publication: 1980
ISSN:0001-0782
Authors
K. Mani Chandy  Univ. of Texas, Austin
Charles H. Sauer  IBM Thomas J. Watson Research Center, Yorktown Heights, NY
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 36,   Citation Count: 28
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ABSTRACT

In the last two decades there has been special interest in queueing networks with a product form solution. These have been widely used as models of computer systems and communication networks. Two new computational algorithms for product form networks are presented. A comprehensive treatment of these algorithms and the two important existing algorithms, convolution and mean value analysis, is given.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bard, Y. Some extensions to multiclass queueing. G320-2124, IBM Cambridge Scientific Ctr., Cambridge, Mass., Nov. 1978.
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Buzen, J.P. Queueing network models ofmultiprogramming. Ph.D. Th., Harvard Univ., Cambridge, Mass., 1971.
 
4
Chandy, K.M. The analysis and solutions for general queueing networks. Proc. 6th Ann. Princeton Conf. on Inform. Sci. and Syst., 1972, pp. 224-228.
 
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Chandy, K.M., Herzog, U., and Woo, L.S. Parametric analysis of queueing networks. IBM J. Res. Develop. 19, 1 (Jan. 1975), 43--49.
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Kobayashi, H. A computational algorithm for queue distributions via Polya theory of enumeration. Rep. RC-6154, IBM Thomas J. Watson Res. Ctr., Yorktown Heights, N.Y., Aug. 1976.
 
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Lam, S.S. Queueing networks with population size constraints. IBM J. Res. Develop. 21, 4 (July 1977), 370-378.
 
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Moore, F.R. Computational model of a closed queueing network with exponential servers. IBM J. Res. Develop. 16, 6 (June 1972), 567- 572.
 
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Reiser, M. Numerical methods in separable queueing networks. Rep. RC-5842, Thomas J. Watson Res. Ctr., Yorktown Heights, N.Y., Feb. 1976.
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Reiser, M., and Saner, C.H. Queueing network models: Methods of solution and their program implementation. In Current Trends in Programming Methodology, Volume Ill: Software Modeling and Its Impact on Performance, K.M. Chandy and R.T. Yeh, Eds., Prentice- Hall, Englewood Cliffs, N.J., 1978, pp. 115-167.
 
17
Reiser, M. Mean-value analysis and convolution method for queue-dependent servers in closed queueing networks. Rep. RZ-1009, IBM Zurich Res. Ctr., Zurich, Switzerland, 1980.
 
18
Reynolds, P.F. Queueing network algorithms on programmable pocket calculators. To appear as a Tech. Rep., Dept. of Comptr. Sci., Univ. of Texas at Austin.
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Saner, C.H., and Chandy, K.M. Computer System Performance Modeling: A Primer. Prentice-Hall, Englewood Cliffs, N.J. (to appear).
 
21
Sevcik, K.C., and Klawe, M.M. Operational analysis versus stochastic modelling of computer systems. Proc. Comptr. Sci. and Statistics: 12th Ann. Syrup. on the Interface, Univ. of Waterloo, May 1979.
 
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Smith, J.L. An analysis of time sharing computer systems using Markov models. Proc. 1966 Spring Joint Comptr. Conf., Vol. 28, AFIPS Press, Alexandria, Va., pp. 87-95.
 
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Zahorjan, J.L. Computational algorithms for queueing networks with product form solutions. In Topics in Performance Evaluation, G.S. Graham, Ed., CSRG-100, Comptr. Systs. Res. Group, Univ. of Toronto, Toronto, Ontario, Canada, July 1979.

CITED BY  28

Collaborative Colleagues:
K. Mani Chandy: colleagues
Charles H. Sauer: colleagues