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.
