Автор: Chan-Hyun Youn; Min Chen; Patrizio Dazzi Название: Cloud Broker and Cloudlet for Workflow Scheduling ISBN: 9811050708 ISBN-13(EAN): 9789811050701 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Miroslav Karny Название: Optimized Bayesian Dynamic Advising ISBN: 1447156757 ISBN-13(EAN): 9781447156758 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A state-of-the-art research monograph providing consistent treatment of supervisory control, by one of the world`s leading groups in the area of Bayesian identification, control, and decision making.
Автор: Florin Pop; Maria Potop-Butucaru Название: Adaptive Resource Management and Scheduling for Cloud Computing ISBN: 3319284479 ISBN-13(EAN): 9783319284477 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebasti n, Spain, in July 2015.
The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.
Описание: This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling.
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