Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization

Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense of consuming too much measurement time. An ordinal optimization (OO) based strategy is proposed in this work, combined wi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Cost function Covariance matrix Distributed computing Evolutionary computation Neural networks System performance Testing Time measurement Web server
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