Automated Workflow Scheduling in Self-Adaptive Clouds

Concepts, Algorithms and Methods

Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Information Technology, General Computing
Cover of the book Automated Workflow Scheduling in Self-Adaptive Clouds by G. Kousalya, P. Balakrishnan, C. Pethuru Raj, Springer International Publishing
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Author: G. Kousalya, P. Balakrishnan, C. Pethuru Raj ISBN: 9783319569826
Publisher: Springer International Publishing Publication: May 25, 2017
Imprint: Springer Language: English
Author: G. Kousalya, P. Balakrishnan, C. Pethuru Raj
ISBN: 9783319569826
Publisher: Springer International Publishing
Publication: May 25, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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