Mehra, Pankaj, 1964-245
Load balancing an automated learning approach / [electronic resource] : Pankaj Mehra, Benjamin W. Wah. - Singapore : World Scientific Publishing Co. Pte Ltd., ©1995. - 1 online resource (156 p.) : ill.
Includes bibliographical references and index.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789812831224
Electronic data processing--Distributed processing.
Computer capacity--Planning.
Electronic books.
QA76.9.D5 / M47 1995
005.4/3
Load balancing an automated learning approach / [electronic resource] : Pankaj Mehra, Benjamin W. Wah. - Singapore : World Scientific Publishing Co. Pte Ltd., ©1995. - 1 online resource (156 p.) : ill.
Includes bibliographical references and index.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789812831224
Electronic data processing--Distributed processing.
Computer capacity--Planning.
Electronic books.
QA76.9.D5 / M47 1995
005.4/3