This book explains how to use software-defined networking (SDN) technologies powered by the OpenFlow protocol to build networks that are easy to design, less expensive to build and operate, and more agile and customizable. Among the first books to systematically address the design aspects in SDN/OpenFlow, it presents the insights of expert contributors from around the world. Focused on OpenFlow engineering design and basic principles, it includes coverage of system architectures, language and programming issues, switches, multimedia support, and network operating systems.
This book explains how to use software-defined networking (SDN) technologies powered by the OpenFlow protocol to build networks that are easy to design, less expensive to build and operate, and more agile and customizable. Among the first books to systematically address the design aspects in SDN/OpenFlow, it presents the insights of expert contributors from around the world. Focused on OpenFlow engineering design and basic principles, it includes coverage of system architectures, language and programming issues, switches, multimedia support, and network operating systems.
Dr. Fei Hu is an associate professor in the Department of Electrical and Computer Engineering at the University of Alabama (main campus), Tuscaloosa, Alabama. He obtained his PhD at Tongji University (Shanghai, People's Republic of China) in the field of signal processing (in 1999) and at Clarkson University (New York) in the field of electrical and computer engineering (in 2002). He has published more than 150 journal/conference articles and book chapters. Dr. Hu's research has been supported by the U.S. National Science Foundation (NSF), Department of Defense (DoD), Cisco, Sprint, and other sources. His research expertise can be summarized as 3S: Security, Signals, Sensors. (1) Security: This is about how to overcome different cyber attacks in a complex wireless or wired network. Recently, he focused on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way to extract patterns (i.e., achieve pattern recognition). (3) Sensors: This includes microsensor design and wireless sensor networking issues.
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