On the use of hybrid reinforcement learning for autonomic resource allocation

Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of explicit system performance models. In principle, RL can automatically learn high-quality management policies without an exp...

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Veröffentlicht in:	Cluster computing 2007-09, Vol.10 (3), p.287-299
Hauptverfasser:	Tesauro, Gerald, Jong, Nicholas K., Das, Rajarshi, Bennani, Mohamed N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Closed loops Lookup tables Multilayer perceptrons Multilayers Performance management Policies Quality management Queuing theory Resource allocation Traffic models Training
Online-Zugang:	Volltext
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