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Abstract: The interest sparked by observations of long-range dependent traffic in real networks has lead to a revival of interest in non-standard queueing systems. One such queueing system is the M/G/1 queue where the service-time distribution has infinite variance. The known results for such systems are asymptotic in nature, typically providing the asymptotic form for the tail of the workload distribution, simulation being required to learn about the rest of the distribution. Simulation however performs ... (Update)
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Matthew Roughan, Darryl Veitch, and Michael Rumsewicz. Computing queuelength distributions for power-law queues. In Proceedings of INFOCOM '98, pages 356-363, 1998. http://citeseer.ist.psu.edu/roughan98computing.html More
@inproceedings{ roughan98computing,
author = "Matthew Roughan and Darryl Veitch and Michael P. Rumsewicz",
title = "Computing Queue-Length Distributions for Power-Law Queues",
booktitle = "{INFOCOM} (1)",
pages = "356-363",
year = "1998",
url = "citeseer.ist.psu.edu/roughan98computing.html" }
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11 Point process approaches to the modelling and analysis of se.. (context) - Ryu, Lowen - 1996
6 Experimental queueing analysis with long-range dependent pac.. (context) - Erramilli, Narayan et al. - 1996
[Article contains additional citations not shown here]
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