This book presents a system that learns new load indices and tunes the parameters of given migration policies. The key component is a dynamic workload generator that allows off-line measurement of task-completion times under a wide variety of precisely controlled loading conditions. The workload data collected are used for training comparator neural networks, a novel architecture for learning to compare functions of time series and for generating a load index to be used by the load balancing strategy. Finally, the load-index traces generated by the comparator networks are used in a population-based learning system for tuning the parameters of a given load-balancing policy. Together, the system constitutes an automated strategy-learning system for performance-driven improvement of existing load-balancing software.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
EUR 11,44 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisVendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 150 pages. 9.00x6.50x0.75 inches. In Stock. N° de réf. du vendeur 9810221355
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