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Simultaneous and efficient simulation of highly dependable systems with different underlying distributions
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Source Winter Simulation Conference archive
Proceedings of the 24th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 458 - 465  
Year of Publication: 1992
ISBN:0-7803-0798-4
Authors
Sponsors
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
Publisher
ACM  New York, NY, USA
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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
Arsham, H., A. Fuerverger, D.L. McLeish, j. Kreimer, and R.Y. Rubinstein. 1989. Sensitivity analysis and the "what if" problem in simulation analysis. Math. Comput. Modelling 12" 193-219.
 
2
Frater, M.R., T.M. Lenon, and B.D.O. Anderson. 1991. Optimally efficient estimation of the statistics of rare events in queueing networks. IEEE Transactions on Automatic Control 36: 1395-1405.
 
3
 
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Hammersley, J.M. and D.C. Handscomb. 1964. Monte Carlo Methods. London: Methuen.
 
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Heidelberger, P., V.F. Nicola and P. Shahabuddin. 1992. Bounded relative error in estimating transient measures of highly dependable non- Markovian systems. In preparation.
 
8
Juneja, S. and P. Shahabuddin. 1992. Fast simulation of Markovian reliability/availability models with general repair policies. In Proceedings of the Twenty-Second International Symposium on Fault- Tolerant Computing, 150-159, IEEE Computer Society Press, Boston, Massachusetts.
 
9
Lewis, E.E. and F. BShm. 1984. Monte Carlo Simulation of Markov Unreliability Models. Nuclear Engineering and Design 77: 49-62.
 
10
Nakayama, M.K.. 1991. Simulation of highly reliable Markovian and non-Markovian systems. Ph.D. Thesis, Department of Operations Research, Stanford University, California.
 
11
Nicola, V.F., P. Heidelberger, and P. Shahabuddin. 1992. Uniformization and exponential transformation: Techniques for fast simulation of highly dependable non-Markovian systems. In Proceedings of the Twenty-Second International Symposium on Fault-Tolerant Computing, 130-139, IEEE Computer Society Press, Boston, Massachusetts.
 
12
Parekh, S. and J. Walrand. 1989. A quick simulation method for excessive backlogs in networks of queues. IEEE Transactions on Automatic Control 34: 54-56.
 
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Sadowsky, J.S. 1991. Large deviations and efficient simulation of excessive backlogs in a GI/G/m queue. IEEE Transactions on Automatic Control 36: 1383-1394.
 
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Shahabuddin, P. and M.K. Nakayama. 1992. Fast simulation for transient measures and their gradients in highly reliable Markovian systems. In preparation.


Collaborative Colleagues:
Philip Heidelberger: colleagues
Victor F. Nicola: colleagues
Perwez Shahabuddin: colleagues