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Proceedings Paper

Performance implications of very large service-time variances
Author(s): Daniel P. Heyman
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Paper Abstract

Measurements of file sizes transported on the WWW have led some researchers to propose describing them by probability distributions with infinite variance. The M/G/1 queue often arises as a performance model for components of the WWW, and the service times correspond to file sizes; the infinite variance of the file sizes becomes the variance of the service times. In this paper the effects of very large service-time variance on some performance measures for the M/G/1 queue are explored via numerical examples and analytic arguments.

Paper Details

Date Published: 7 October 1998
PDF: 14 pages
Proc. SPIE 3530, Performance and Control of Network Systems II, (7 October 1998); doi: 10.1117/12.325873
Show Author Affiliations
Daniel P. Heyman, AT&T Labs. (United States)

Published in SPIE Proceedings Vol. 3530:
Performance and Control of Network Systems II
Wai Sum Lai; Robert B. Cooper, Editor(s)

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