Statistical-classification-based admission control

Timothy X. Brown

doi:10.1117/12.434304

24 July 2001 Statistical-classification-based admission control

Timothy X. Brown

Proceedings Volume 4523, Internet Performance and Control of Network Systems II; (2001) https://doi.org/10.1117/12.434304
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States

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.

Citation Download Citation

Timothy X. Brown "Statistical-classification-based admission control", Proc. SPIE 4523, Internet Performance and Control of Network Systems II, (24 July 2001); https://doi.org/10.1117/12.434304

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