Computing in Communication Networks: From Theory to Practice

Computing in Communication Networks: From Theory to Practice
PDF
  • eBook:
    Computing in Communication Networks: From Theory to Practice
  • Author:
    Frank Fitzek, Fabrizio Granelli, Patrick Seeling
  • Edition:
    1 edition
  • Categories:
  • Data:
    June 4, 2020
  • ISBN:
    0128204885
  • ISBN-13:
    9780128204887
  • Language:
    English
  • Pages:
    522 pages
  • Format:
    PDF

Book Description
Computing in Communication Networks: From Theory to Practice provides comprehensive details and practical implementation tactics on 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. The book 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, it presents a comprehensive overview of current standardization activities.
Specific chapters explore upcoming communication networks that support verticals in transportation, industry, construction, agriculture, health care and energy grids, underlying concepts, such as network slicing and mobile edge cloud, enabling technologies, such as SDN/NFV/ ICN, disruptive innovations, such as network coding, compressed sensing and machine learning, how to build a virtualized network infrastructure testbed on one’s own computer, and more.

Content

PART 1 FUTURE COMMUNICATION NETWORKS AND SYSTEMS
CHAPTER 1. On the need of computing in future communication networks
CHAPTER 2. Standardization activities for future communication networks

PART 2 CONCEPTS
CHAPTER 3. Network slicing
CHAPTER 4. Mobile edge cloud
CHAPTER 5. Content distribution

PART 3 ENABLING TECHNOLOGIES
CHAPTER 6. Software-defined networks
CHAPTER 7. Network function virtualization

PART 4 INNOVATION TRACK
CHAPTER 8. Machine learning
CHAPTER 9. Network coding
CHAPTER 10. Compressed sensing

PART 5 BUILDING THE TESTBED
CHAPTER 11. Mininet: an instant virtual network on your computer
CHAPTER 12. Docker: containerize your application
CHAPTER 13. ComNetsEmu: a lightweight emulator

PART 6 EXAMPLES
CHAPTER 14. Realizing network slicing
CHAPTER 15. Realizing mobile edge clouds
CHAPTER 16. Machine learning for routing
CHAPTER 17. Machine learning for flow compression
CHAPTER 18. Machine learning for congestion control
CHAPTER 19. Machine learning for object detection
CHAPTER 20. Network coding for transport
CHAPTER 21. Network coding for storage
CHAPTER 22. In-network compressed sensing
CHAPTER 23. Security for mobile edge cloud

PART 7 EXTENSIONS
CHAPTER 24. Connecting to the outer world
CHAPTER 25. Integrating time-sensitive networking
CHAPTER 26. Integrating software-defined radios

PART 8 TOOLS
CHAPTER 27. Networking tools

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