Name: Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (en Inglés)
Price: 1042.55 MXN
Availability: InStock
Author: Kousalya, G. ; Balakrishnan, P. ; Pethuru Raj, C.
ISBN: 9783319860503

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portada Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

225

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.3 cm

Peso

0.34 kg.

ISBN13

9783319860503

N° edición

Categorías

Ingeniería de las comunicaciones y las telecomunicaciones
Tecnología de la información: cuestiones generales
Hardware de redes

Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (en Inglés)

G. Kousalya (Autor) · P. Balakrishnan (Autor) · C. Pethuru Raj (Autor) · Springer · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (en Inglés)"

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.