Load Balancing: An Automated Learning Approach Book + PRICE WATCH * Amazon pricing is not included in price watch

Load Balancing: An Automated Learning Approach Book

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.Read More

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  • 9810221355
  • 9789810221355
  • Benjamin W. Wah, Pankaj Mehra
  • 28 April 1995
  • World Scientific Publishing Co Pte Ltd
  • Hardcover (Book)
  • 139
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