The TCP/IP family of protocols has become the de facto standard in the world of networking. Found in virtually all computer communication systems, they form the basis of today's Internet. Including a series of carefully designed laboratory experiments that span the various elements of protocol definition and behavior, this book is a hands-on guide to TCP/IP technologies. The experiments are described in a Linux environment, with parallel notes on Solaris implementation. The book includes homework exercises, and supplementary material for instructors is available. It is aimed at electrical engineering and computer science students, and will also be valuable for engineers studying for networking certifications.

TCP/IP Essentials: A Lab-Based Approach

Computers & Technology

Panwar, Shivendra S.

Mao, Shiwen

Ryoo, Jeong-dong

Li, Yihan

Networking & Cloud Computing

Cambridge University Press

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Big Data: Related Technologies, Challenges and Future Prospects (SpringerBriefs in Computer Science)

Chen, Min

Leung, Victor C. M.

Zhang, Yin

Computer Science

Springer

Presenting an optimal energy distribution strategy for microgrids in a smart grid environment, and featuring a detailed analysis of the mathematical techniques of convex optimization and online algorithms, this book provides readers with essential content on how to achieve multi-objective optimization that takes into consideration power subscribers, energy providers and grid smoothing in microgrids. Featuring detailed theoretical proofs and simulation results that demonstrate and evaluate the correctness and effectiveness of the algorithm, this text explains step-by-step how the problem can be reformulated and solved, and how to achieve the distributed online algorithm on the basis of a centralized offline algorithm. Special attention is paid to how to apply this algorithm in practical cases and the possible future trends of the microgrid and smart grid research and applications. Offering a valuable guide to help researchers and students better understand the new smart grid, this book will also familiarize readers with the concept of the microgrid and its relationship with renewable energy.

Online Algorithms for Optimal Energy Distribution in Microgrids (SpringerBriefs in Applied Sciences and Technology)

Business & Money

Wang, Yu

NELMS, R.MARK

Industries

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