Automated Workflow Scheduling In Selfada

Kousalya

ISBN 10: 3319569813 ISBN 13: 9783319569819

Editorial: Springer, 2017

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N� de ref. del art�culo V9783319569819

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Sinopsis:

Stepping into the Digital Intelligence Era

Demystifying the Traits of Software-Defined Cloud Environments (SDCEs)

Workflow Management Systems

Workflow Scheduling Algorithms and Approaches

Workflow Modeling and Simulation Techniques

Execution of Workflow Scheduling in Cloud Middleware

Workflow Predictions through Operational Analytics and Machine Learning

Workflow Integration and Orchestration - Opportunities and the Challenges

Workload Consolidation through Automated Workload Scheduling

Automated Optimization Methods for Workflow Execution

Hybrid IT: Characteristics and Capabilities

Acerca del autor:

Dr. G. Kousalya is a Professor in the Department of Computer Science and Engineering at Coimbatore Institute of Technology, Coimbatore, India.

Dr. P. Balakrishnan is an Associate Professor in the Department of Computer Science and Engineering at SASTRA University, Thanjavur, India.

Dr. C. Pethuru Raj is the chief architect for Reliance Jio Cloud, Bangalore, India. His other publications include the Springer title High-Performance Big-Data Analytics.

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T�tulo: Automated Workflow Scheduling In Selfada
Editorial: Springer
A�o de publicaci�n: 2017
Encuadernaci�n: Encuadernaci�n de tapa dura
Condici�n: New

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Automated Workflow Scheduling in Self-Adaptive Clouds (eng)

Kousalya, G.

Publicado por Springer, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Automated Workflow Scheduling in Self-Adaptive Clouds

G. Kousalya|P. Balakrishnan|C. Pethuru Raj

Publicado por Springer International Publishing, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Condici�n: 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. N� de ref. del art�culo: 147757653

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Automated Workflow Scheduling in Self-Adaptive Clouds : Concepts, Algorithms and Methods

Kousalya, G.; Balakrishnan, P.; Raj, C. Pethuru

Publicado por Springer, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Automated Workflow Scheduling in Self-Adaptive Clouds

G. Kousalya

Publicado por Springer International Publishing Jun 2017, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Buch. Condici�n: 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. N� de ref. del art�culo: 9783319569819

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Automated Workflow Scheduling in Self-Adaptive Clouds

G. Kousalya

Publicado por Springer, Springer Jun 2017, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Buch. Condici�n: 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. N� de ref. del art�culo: 9783319569819

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Automated Workflow Scheduling in Self-Adaptive Clouds : Concepts, Algorithms and Methods

G. Kousalya

Publicado por Springer International Publishing, 2017

ISBN 10: 3319569813 ISBN 13: 9783319569819

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Buch. Condici�n: 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. N� de ref. del art�culo: 9783319569819

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