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9783319860503 - Automated Workflow Scheduling in Self-adaptive Clouds: Concepts, Algorithms and Methods Computer Communications and Networks by Kousalya, G ; Balakrishnan, P ; Peth... (15 results)
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Automated Workflow Scheduling in Self-adaptive Clouds : Concepts, Algorithms and Methods
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Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (Computer Communications and Networks)
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Automated Workflow Scheduling in Self-adaptive Clouds : Concepts, Algorithms and Methods
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Automated Workflow Scheduling in Self-Adaptive Clouds : Concepts, Algorithms and Methods
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331986050X ISBN 13: 9783319860503
Language: English
£ 42.99
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency.Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and timeconstraints; covers workflow management systems, workflow modeling and simulation techniques,and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.
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Automated Workflow Scheduling in Self-Adaptive Clouds
Published by Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 331986050X ISBN 13: 9783319860503
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency.Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques,and machine learning approaches for predictive workflow analytics.This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
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Automated Workflow Scheduling in Self-Adaptive Clouds
Published by Springer International Publishing Aug 2018, 2018
ISBN 10: 331986050X ISBN 13: 9783319860503
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency.Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and timeconstraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book. 244 pp. Englisch.
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Automated Workflow Scheduling in Self-Adaptive Clouds
Published by Springer International Publishing, 2018
ISBN 10: 331986050X ISBN 13: 9783319860503
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) cloudsPresents simulation-based case studies, and details of real-time test bed-based implementationsOffers analyses and compar.
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