Optimized Cloud Resource Management and Scheduling: Theory and Practice

This book captures the state-of-the-art in Resource Management and Scheduling in Cloud Data Centers. It also aims to identify potential research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. As this area of research is relatively recent, this book will serve as a valuable reference for systems architects, practitioners, developers, new researchers and graduate level students. In a field that is gaining considerable research momentum and is expected to be of increasing interest to commercial developers, Optimized Cloud Resource Management and Scheduling: Theory and Practice will be a timely contribution. The book is targeted for professional computer science developers and graduate students especially at the Masters level. As Cloud Computing is recognized as one of the top emerging technologies that will have a major impact on the quality of science and society over the next several years, the book will help position our readers at the forefront of the field. INDICE: 1 Cloud computing overview /12 Overview of Solutions to Cloud Data Centers /13 Resources Modeling and Definitions in Cloud data centers5 Cloud Resource Scheduling Strategies /16 Load Balance Scheduling Algorithms For CDC /17 Energy-efficient Scheduling for Cloud Data Centers8 Maximizing Profits of Computing Resources in CDC9 Energy-Efficiency Scheduling in Hadoop10 Cloud Workflow Management and Applications11 The Design and Application of Cloud Simulators12 Summary and Outlook

• ISBN: 978-0-12-801476-9
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 384
• Fecha Publicación: 01/11/2014
• Nº Volúmenes: 1
• Idioma: Inglés