DocumentCode :
3411664
Title :
Real-time high percentile tracking of quasi-exponential delays
Author :
Sohraby, Khosrow ; Eckberg, A.E.
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
fYear :
1993
fDate :
1993
Firstpage :
850
Abstract :
In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays
Keywords :
approximation theory; delays; statistical analysis; algorithm; linear function; quasiexponential delays; queueing theory; real time high percentile; statistical characteristics; Algorithm design and analysis; Delay effects; Delay estimation; Probability distribution; Random variables; Robustness; Shape; Smoothing methods; Statistics; Tail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM '93. Proceedings.Twelfth Annual Joint Conference of the IEEE Computer and Communications Societies. Networking: Foundation for the Future, IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-3580-0
Type :
conf
DOI :
10.1109/INFCOM.1993.253283
Filename :
253283
Link To Document :
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