Isbn: 9783319860503 - automated workflow scheduling in self-adaptive clouds: concepts, algorithms and methods (13 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2018

    331986050X / 9783319860503

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  • Lingua: Inglese

    Editore: Springer, 2018

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  • Lingua: Inglese

    Editore: Springer 2018-08, 2018

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  • Lingua: Inglese

    Editore: Springer, 2018

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  • Lingua: Inglese

    Editore: Springer, 2018

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  • Lingua: Inglese

    Editore: Springer International Publishing, Springer International Publishing, 2018

    331986050X / 9783319860503

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    Taschenbuch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, 2018

    331986050X / 9783319860503

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    Taschenbuch. Condizione: Neu. Automated Workflow Scheduling in Self-Adaptive Clouds | Concepts, Algorithms and Methods | G. Kousalya (u. a.) | Taschenbuch | Computer Communications and Networks | xvii | Englisch | 2018 | Springer | EAN 9783319860503 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2018

    331986050X / 9783319860503

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    Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2018

    331986050X / 9783319860503

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  • Lingua: Inglese

    Editore: Springer International Publishing Aug 2018, 2018

    331986050X / 9783319860503

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2018

    331986050X / 9783319860503

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    Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, Springer Aug 2018, 2018

    331986050X / 9783319860503

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.