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Computing in Communication Networks

From Theory to Practice

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Paperback, blz. | Engels
Elsevier Science | e druk, 2020
ISBN13: 9780128204887
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Elsevier Science e druk, 2020 9780128204887
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Samenvatting

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.

Specificaties

ISBN13:9780128204887
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>PART 1 FUTURE COMMUNICATION NETWORKS AND SYSTEMS<br>1. On the need of computing in future communication networks<br>2. Standardization activities for future communication networks</p> <p>PART 2 CONCEPTS<br>3. Network slicing<br>4. Mobile edge cloud<br>5. Content distribution</p> <p>PART 3 ENABLING TECHNOLOGIES<br>6. Software-defined networks<br>7. Network function virtualization</p> <p>PART 4 INNOVATION TRACK<br>8. Machine learning<br>9. Network coding<br>10. Compressed sensing</p> <p>PART 5 BUILDING THE TESTBED<br>11. Mininet: An insant virtual network on your computer<br>12. Docker: Containerize your application<br>13. ComNetsEmu: A lightweight emulator</p> <p>PART 6 EXAMPLES<br>14. Realizing network slicing<br>15. Realizing mobile edge clouds<br>16. Machine learning for routing<br>17. Machine learning for flow compression<br>18. Machine learning for congestion control<br>19. Machine learning for object detection<br>20. Network coding for transport<br>21. Network coding for storage<br>22. In-network compressed sensing<br>23. Security for mobile edge cloud</p> <p>PART 7 EXTENSIONS<br>24. Connecting to the outer world<br>25. Integrating time-sensitive networking<br>26. Integrating software-defined radios</p> <p>PART 8 TOOLS<br>27. Networking tools</p>

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        Computing in Communication Networks