Load Balancing : An Automated Learning Approach - Pankaj Mehra

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Load Balancing

An Automated Learning Approach

By: Pankaj Mehra, Benjamin W Wah

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Hardcover | 1 April 1995

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Hardcover
156 Pages

Dimensions(cm)
22.86 x 16.51 x 1.91

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Artificial Intelligence Machine Learning Booktopia Publisher Services World Scientific Publishing

Preface
Introduction	p. 1
Synthetic Workload Generation	p. 18
Automated Learning of Load Balancing Strategies	p. 41
Conclusions	p. 71
Appendix A. A Survey of Strategy Learning	p. 74
References	p. 126
Index	p. 137
Table of Contents provided by Blackwell. All Rights Reserved.

Load Balancing

An Automated Learning Approach

At a Glance

Hardcover

Shipping

How to return your order

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