{ "item_title" : "Load Balancing", "item_author" : [" Pankaj Mehra", "Benjamin W. Wah "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/022/135/9810221355_b.jpg", "price_data" : { "retail_price" : "43.00", "online_price" : "43.00", "our_price" : "43.00", "club_price" : "43.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details