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Optimized Cloud Resource Management and Scheduling

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Optimized Cloud Resource Management and Scheduling

Theories and Practices

Wenhong Dr. Tian, Yong Dr. Zhao

Morgan Kaufmann
Publication date : 2014-10-15

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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. - Explains how to optimally model and schedule computing resources in cloud computing - Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters - Introduces real-world applications, including business, scientific and related case studies - Discusses different cloud platforms with real test-bed and simulation tools

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About the book

Author

Wenhong Dr. Tian , Yong Dr. Zhao

Imprint

Morgan Kaufmann

Collection

n.c

Publication date

2014-10-15

Pages

284 pages

Print ISBN

9780128014769

Language

English

Ebook informations

EAN PDF

9780128016459

Price

£51.68

Copy count 28

Print count 28

File size 7475 Ko

Informations accessibility

EAN EPUB DRM-FREE

9780128016459

Price

£51.68

Informations accessibility

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About author(s)

Wenhong Dr. Tian

Yong Dr. Zhao

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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