A performance estimation method has been developed that combines conventional performance evaluation with Bayesian regression analysis. The conventional method is used to estimate performance a priori; this a priori estimate is then updated through Bayesian regression analysis using monitored performance. This method compensates for modeling errors in the conventional technique without recreating complex performance models; it does not require additional traffic measurement or system behavior models. Numerical examples and applications of traffic management in ATM PVC networks have demonstrated its effectiveness.
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Hiroshi SAITO, "Bayesian Performance Estimation Driven by Performance Monitoring and Its Application" in IEICE TRANSACTIONS on Communications,
vol. E79-B, no. 1, pp. 1-7, January 1996, doi: .
Abstract: A performance estimation method has been developed that combines conventional performance evaluation with Bayesian regression analysis. The conventional method is used to estimate performance a priori; this a priori estimate is then updated through Bayesian regression analysis using monitored performance. This method compensates for modeling errors in the conventional technique without recreating complex performance models; it does not require additional traffic measurement or system behavior models. Numerical examples and applications of traffic management in ATM PVC networks have demonstrated its effectiveness.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e79-b_1_1/_p
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@ARTICLE{e79-b_1_1,
author={Hiroshi SAITO, },
journal={IEICE TRANSACTIONS on Communications},
title={Bayesian Performance Estimation Driven by Performance Monitoring and Its Application},
year={1996},
volume={E79-B},
number={1},
pages={1-7},
abstract={A performance estimation method has been developed that combines conventional performance evaluation with Bayesian regression analysis. The conventional method is used to estimate performance a priori; this a priori estimate is then updated through Bayesian regression analysis using monitored performance. This method compensates for modeling errors in the conventional technique without recreating complex performance models; it does not require additional traffic measurement or system behavior models. Numerical examples and applications of traffic management in ATM PVC networks have demonstrated its effectiveness.},
keywords={},
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month={January},}
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TY - JOUR
TI - Bayesian Performance Estimation Driven by Performance Monitoring and Its Application
T2 - IEICE TRANSACTIONS on Communications
SP - 1
EP - 7
AU - Hiroshi SAITO
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E79-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 1996
AB - A performance estimation method has been developed that combines conventional performance evaluation with Bayesian regression analysis. The conventional method is used to estimate performance a priori; this a priori estimate is then updated through Bayesian regression analysis using monitored performance. This method compensates for modeling errors in the conventional technique without recreating complex performance models; it does not require additional traffic measurement or system behavior models. Numerical examples and applications of traffic management in ATM PVC networks have demonstrated its effectiveness.
ER -