Automated Workflow Scheduling in Self-Adaptive Clouds

Language: English

Published by Springer, Springer Aug 2018, 2018

331986050X / 9783319860503

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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.

Seller Inventory # 9783319860503

Title
Automated Workflow Scheduling in Self-Adaptive Clouds
Author
G. Kousalya
Publisher
Springer, Springer Aug 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
331986050X
ISBN 13
9783319860503
Item weight
376 grams
Dimensions
235x155x14 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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