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Performance Evaluation
Volume 57, Issue 3, July 2004, Pages 409-422
 
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doi:10.1016/j.peva.2004.02.003    
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Copyright © 2004 Elsevier B.V. All rights reserved.

An Equivalent Random Method with hyper-exponential service

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John F. ShortleE-mail The Corresponding Author

Systems Engineering and Operations Research, George Mason University, 4400 University Drive, MS 4A6, Fairfax, VA 22030, USA


Received 17 March 2003; 
Revised 18 February 2004. 
Available online 27 April 2004.

Abstract

The Equivalent Random Method (ERM) has been widely used to predict blocking probabilities at overflow service stations. The method assumes that service times follow an exponential distribution. While this may be a reasonable assumption for voice traffic, it is not a good assumption for dial-up Internet traffic, where service times typically have a coefficient of variation (standard deviation/mean) greater than 1. In this paper, we give a modified ERM for two-term hyper-exponential service distributions. The method is based on an efficient algorithm to estimate the peakedness of the overflow process of an M/H2/S/S queue. Finally, we investigate the accuracy of the modified ERM using simulation and also compare systems with hyper-exponential service to systems with heavy-tailed service.

Author Keywords: Equivalent Random Method; Internet traffic; Overflow queues; Queues with blocking

Article Outline

1. Introduction
2. The Equivalent Random Method
3. Peakedness calculation with hyper-exponential service
4. Modified Equivalent Random Method
4.
5. Heavy-tailed distributions
6. Conclusions
Acknowledgements
References
Vitae








Performance Evaluation
Volume 57, Issue 3, July 2004, Pages 409-422
 
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