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Optimized Cloud Resource Management And Scheduling: Theories And Practices Paperback English by Wenhong Tian - 01 Nov 2014

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PublisherELSEVIER SCIENCE & TECHNOLOGY
ISBN 139780128014769
Book SubtitleTheories And Practices
Book DescriptionOptimized 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.
Editorial ReviewThis book offers an excellent overview of the state-of-the-art in resource scheduling and management in cloud computing. I strongly recommend the book as a reference for system architects, practitioners, developers, researchers and graduate level students. --Rajkumar Buyya, Editor in Chief, IEEE Transactions on Cloud Computing
About the AuthorDr. 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.
LanguageEnglish
AuthorWenhong Tian, Yong Zhao
Publication Date01 Nov 2014
Number of Pages284

Optimized Cloud Resource Management And Scheduling: Theories And Practices Paperback English by Wenhong Tian - 01 Nov 2014

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