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11 - Continuous-Time Markov Chain: Queuing Systems

from Part III - State-Space Models with Exponential Distributions

Published online by Cambridge University Press:  30 August 2017

Kishor S. Trivedi
Affiliation:
Duke University, North Carolina
Andrea Bobbio
Affiliation:
Università degli Studi del Piemonte Orientale, Italy
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Summary

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Type
Chapter
Information
Reliability and Availability Engineering
Modeling, Analysis, and Applications
, pp. 423 - 452
Publisher: Cambridge University Press
Print publication year: 2017

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References

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[2] G., Bolch, S., Greiner, H. de, Meer, and K. S., Trivedi, Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications, 2nd edn. Wiley Interscience, 2006.
[3] L., Lakatos, L., Szeid, and M., Telek, Introduction to Queueing Systems with Telecommunication Applications. Springer, 2013.
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[5] K., Trivedi, Probability and Statistics with Reliability, Queueing and Computer Science Applications, 2nd edn. John Wiley & Sons, 2001.
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[10] Y., Liu and K., Trivedi, “Survivability quantification: The analytical modeling approach,” International Journal of Performability Engineering, vol. 2, no. 1, p. 29, 2006.Google Scholar
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[19] R., Huslende,A combined evaluation of performance and reliability for degradable systems,” in Proc. ACM/SIGMETRICS Conf., 1981, pp. 157–164.Google Scholar
[20] V., Nicola, V., Kulkarni, and K., Trivedi, “Queueing analysis of fault-tolerant computer systems,” IEEE Transactions on Software Engineering, vol. SE-13, pp. 363–375, 1987.Google Scholar
[21] P., Chimento and K., Trivedi, “The performance of block structured programs on processors subject to failure and repair,” in High Performance Computer Systems, ed. E., Gelenbe. North Holland, 1988, pp. 269–280.

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