Computing in Communication Networks: From Theory to Practice

Computing in Communication Networks gives an understanding, together with practical implementation skills, of the novel concepts and enabling technologies at the core of the paradigm shift from store and forward (dumb) to compute and forward (intelligent) in future communication networks and systems. It explains how to create virtualized large scale testbeds using well-established open source software, such as mininet and docker. It shows how and where to place disruptive techniques, such as machine learning, compressed sensing, or network coding, in a newly built testbed. In addition, this book provides a comprehensive overview of current standardization activities for readers that are practitioners or industry implementers. With this book you will learn: The needs of upcoming communication networks to support verticals in transportation, industry, construction, agriculture, health care, and energy grids Underlying concepts, such as network slicing and mobile edge cloud The enabling technologies, such as SDN / NFV / ICN Of disruptive innovations, such as network coding, compressed sensing, and machine learning How to build a virtualized network infrastructure testbed on one's own computer To place new functionality within the virtualized network infrastructure Provide a uniquely comprehensive overview of the individual building blocks comprising the concept of computing in future networksGives practical hands-on activities to bridge theory and implementationThe software and examples employed throughout the book are hosted on a dedicated web site INDICE: PART 1 FUTURE COMMUNICATION NETWORKS AND SYSTEMS 1. On the Need of Computing in Future Communication Networks 2. Standardization Activities for Future Communication Networks PART 2 CONCEPTS 3. Network Slicing 4. Mobile Edge Cloud 5. Content Distribution PART 3 ENABLING TECHNOLOGIES 6. Software-Defined Networking 7. Network Function Virtualization PART 4 INNOVATION TRACK 8. Machine Learning 9. Network Coding 10. Compressed Sensing PART 5 BUILDING THE TESTBED 11. Mininet: An Instant Virtual Network on Your Computer 12. Docker: Containerize Your Network Function 13. ComNetsEmu: A Lightweight Emulator PART 6 EXAMPLES 14. Realizing Network Slicing 15. Realizing Mobile Edge Cloud 16. Machine Learning for Routing 17. Machine Learning for Flow Compression 18. Machine Learning for Congestion Control 19. Machine Learning for Object Detection 20. Network Coding for Transport 21. Network Coding for Storage 22. In-Network Compressed Sensing 23. Security for Mobile Edge Cloud PART 7 EXTENSIONS 24. Connecting to the Outer World 25. Integrating Software Defined Radios PART 8 TOOLS 26. Networking Tools

• ISBN: 978-0-12-820488-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 475
• Fecha Publicación: 20/07/2020
• Nº Volúmenes: 1
• Idioma: Inglés