Authors:
- 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
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Coimbatore Institute of Technology, Coimbatore, India
G. Kousalya
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SCOPE, VIT University, Vellore, India
P. Balakrishnan
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Reliance Jio Cloud Services (JCS), Bangalore, India
C. Pethuru Raj
About the authors
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.
Bibliographic Information
Book Title: Automated Workflow Scheduling in Self-Adaptive Clouds
Book Subtitle: Concepts, Algorithms and Methods
Authors: G. Kousalya, P. Balakrishnan, C. Pethuru Raj
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-56982-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-56981-9Published: 01 June 2017
Softcover ISBN: 978-3-319-86050-3Published: 28 August 2018
eBook ISBN: 978-3-319-56982-6Published: 25 May 2017
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XVII, 225
Number of Illustrations: 74 b/w illustrations
Topics: Computer Communication Networks, Information Systems Applications (incl. Internet), Input/Output and Data Communications, Artificial Intelligence