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Book synopsis

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 policies. Together, the system constitutes an automated strategy-learning system for performance-driven improvement of existing load-balancing software.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Load Balancing: An Automated Learning Approach
• Author: Benjamin W. Wah, Pankaj Mehra
• Language: English
• Binding: Hardback
• Number of pages: 156
• EAN: 9789810221355
• ISBN: 9810221355
• ID: 05065014
• Publisher: World Scientific Publishing Co Pte Ltd
• Date of publishing: 04. January 1995

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