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Automated Workflow Scheduling in Self-Adaptive Clouds - Concepts, Algorithms and Methods (Hardcover, 1st ed. 2017): G.... Automated Workflow Scheduling in Self-Adaptive Clouds - Concepts, Algorithms and Methods (Hardcover, 1st ed. 2017)
G. Kousalya, P. Balakrishnan, C. Pethuru Raj
R1,697 Discovery Miles 16 970 Ships in 12 - 19 working days

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.

Automated Workflow Scheduling in Self-Adaptive Clouds - Concepts, Algorithms and Methods (Paperback, Softcover reprint of the... Automated Workflow Scheduling in Self-Adaptive Clouds - Concepts, Algorithms and Methods (Paperback, Softcover reprint of the original 1st ed. 2017)
G. Kousalya, P. Balakrishnan, C. Pethuru Raj
R1,399 Discovery Miles 13 990 Ships in 10 - 15 working days

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.

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