LOAD BALANCING (eBook)

An Automated Learning Approach

Pankaj Mehra, Wah; ; ; Benjamin W (Autoren)

eBook Download: PDF

1995
156 Seiten
World Scientific Publishing Company (Verlag)
978-981-310-483-9 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 26.4.1995
• Verlagsort: SG
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 981-310-483-X / 981310483X
• ISBN-13: 978-981-310-483-9 / 9789813104839