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Optimized Cloud Resource Management and Scheduling identifies 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. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students.
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Über die Autorinnen und Autoren
Dr. Wenhong Tian has a PhD from Computer Science Department of North Carolina State University(NCSU) and did post-doc with joint funding from Ork Ridge National Lab and NCSU. He is now an associate professor at University of Electronic Science and Technology of China. His research interests include modeling and performance analysis of communication networks, Cloud computing and bio-computing. He has published more than 40 journal /conference papers in related areas.
Prof. Yong Zhao has a PhD from Computer Science Department of Chicago University (under supervising of Prof. Ian Foster); his is now a professor at University of Electronic Science and Technology of China. His research interests include Grid computing, large-data process in Cloud computing etc. He published about 30 journal and conference papers in related areas.
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Optimized Cloud Resource Management and Scheduling identifies 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. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students.
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Optimized Cloud Resource Management and Scheduling: Theories and Practices
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Optimized Cloud Resource Management and Scheduling
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Morgan Kaufmann, 2014
ISBN 10: 0128014768
ISBN 13: 9780128014769
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Optimized Cloud Resource Management and Scheduling : Theories and Practices
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Taschenbuch. Zustand: Neu. Neuware - Optimized Cloud Resource Management and Scheduling identifies 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. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students.Explains how to optimally model and schedule computing resources in cloud computingProvides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clustersIntroduces real-world applications, including business, scientific and related case studiesDiscusses different cloud platforms with real test-bed and simulation tools. Artikel-Nr. 9780128014769
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