This book covers network analysis and architecture for large-scale computer network planning. Networks and the Internet are essential for modern industries and societies. Building a new network, upgrading an existing network, or planning to use a public network requires integrating various network mechanisms and technologies in a cohesive fashion. This demands a deep understanding of the concepts, principles, processes, approaches, and good practices of advanced network planning. More specifically, emphasizing service-based networking, the book introduces structured processes for network planning, provides systematic approaches for network analysis and architecture, develops network planning specifications, and discusses high-level network architectural models from various perspectives. It also offers detailed discussions on component-based architecture about addressing, routing, performance, management, and security and privacy. Recent developments in data centers, virtualization, and cloud are also embedded into the network architecture. Moreover, the book includes a comprehensive introduction to building practical TCP/IP network communications via sockets with practical examples. The book is suitable for use as a textbook for senior undergraduate and postgraduate students or as a reference book for network practitioners looking to develop or enhance their skills in network planning.
Introduction.- Systematic Approaches.- Requirements Analysis.- Tra?c Flow Analysis.- Network Architectural Models.- Network Addressing Architecture.- Network Routing Architecture.- Network Performance Architecture.- Network Management Architecture.
Professor Yu-Chu Tian is a professor of computer science at the School of Computer Science, Queensland University of Technology, Brisbane QLD, Australia. He received the Ph.D. degree in computer and software engineering from the University of Sydney, Sydney NSW 2006, Australia, in 2009, and the Ph.D. degree in industrial automation from Zhejiang University, Hangzhou, China, in 1993. He has previously worked at Hong Kong University of Technology, Hong Kong, China; Curtin University, Perth WA, Australia; and the University of Maryland at College Park, MD, USA. His research interests encompass a wide range of areas, including big data computing, cloud computing, computer networks, smart grid communications and control, optimization and machine learning, networked control systems, and cyber-physical security.
Professor Jing Gao is a professor and the dean of the College of Computer and Information Engineering, Inner Mongolia Agriculture University, Hohhot, China. She also serves asthe director of the Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agricultural and Animal Husbandry, Hohhot, China. She received the Ph.D. degree in computer science and technology from Beihang University, Beijing, China, in 2009. She has previously worked as a visiting professor at Queensland University of Technology, Brisbane QLD, Australia. Her research interests include computer networks, big data analytics and computing, knowledge discovery, and agricultural intelligent systems.
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