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Proceedings Paper

Statistical-classification-based admission control
Author(s): Timothy X. Brown
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Paper Abstract

This paper introduces methods based on statistical classification that allow arbitrary measurement features to be incorporated into admission control decisions. Our results show that for high target packet loss rates, nearly any set of features can control the packet loss rate well, while for low target packet loss rates more features provide better control. The methods demonstrate relatively high accuracy in controlling the packet loss rate for both high and low target loss rates and for both memoryless and heavy-tailed traffic distributions. These results represent significant improvements on prior methods and suggest new directions for future research.

Paper Details

Date Published: 24 July 2001
PDF: 14 pages
Proc. SPIE 4523, Internet Performance and Control of Network Systems II, (24 July 2001); doi: 10.1117/12.434304
Show Author Affiliations
Timothy X. Brown, Univ. of Colorado/Boulder (United States)


Published in SPIE Proceedings Vol. 4523:
Internet Performance and Control of Network Systems II
Robert D. van der Mei; Frank Huebner-Szabo de Bucs, Editor(s)

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