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Informationen zum Autor 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. Klappentext 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. ...
List of contents
1 Cloud computing overview /1
2 Overview of Solutions to Cloud Data Centers /1
3 Resources Modeling and Definitions in Cloud data centers
5 Cloud Resource Scheduling Strategies /1
6 Load Balance Scheduling Algorithms For CDC /1
7 Energy-efficient Scheduling for Cloud Data Centers
8 Maximizing Profits of Computing Resources in CDC
9 Energy-Efficiency Scheduling in Hadoop
10 Cloud Workflow Management and Applications
11 The Design and Application of Cloud Simulators
12 Summary and Outlook
Report
"This 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
