Computing in Communication Networks : From Theory to Practice /
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 communicatio...
| Main Authors: | , , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2020
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/book/9780128204887 |
| _version_ | 1796764898781298688 |
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| author | Fitzek, Frank H. P., editor 300484 Granelli, Fabrizio, editor 651580 Seeling, Patrick, editor 276190 ScienceDirect (Online service) 7722 |
| author_facet | Fitzek, Frank H. P., editor 300484 Granelli, Fabrizio, editor 651580 Seeling, Patrick, editor 276190 ScienceDirect (Online service) 7722 |
| author_sort | Fitzek, Frank H. P., editor 300484 |
| collection | OCEAN |
| 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. |
| first_indexed | 2024-03-05T17:16:35Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:603992 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:16:35Z |
| publishDate | 2020 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6039922023-10-23T04:42:46ZComputing in Communication Networks : From Theory to Practice / Fitzek, Frank H. P., editor 300484 Granelli, Fabrizio, editor 651580 Seeling, Patrick, editor 276190 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2020©2020engComputing 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.Includes index.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 networks 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 insant virtual network on your computer 12. Docker: Containerize your application 13. ComNetsEmu: A lightweight emulator -- PART 6 EXAMPLES 14. Realizing network slicing 15. Realizing mobile edge clouds 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 time-sensitive networking 26. Integrating software-defined radios -- PART 8 TOOLS 27. Networking toolsComputing 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.Computer networkshttps://www.sciencedirect.com/book/9780128204887URN:ISBN:9780128204887Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Computer networks Fitzek, Frank H. P., editor 300484 Granelli, Fabrizio, editor 651580 Seeling, Patrick, editor 276190 ScienceDirect (Online service) 7722 Computing in Communication Networks : From Theory to Practice / |
| title | Computing in Communication Networks : From Theory to Practice / |
| title_full | Computing in Communication Networks : From Theory to Practice / |
| title_fullStr | Computing in Communication Networks : From Theory to Practice / |
| title_full_unstemmed | Computing in Communication Networks : From Theory to Practice / |
| title_short | Computing in Communication Networks : From Theory to Practice / |
| title_sort | computing in communication networks from theory to practice |
| topic | Computer networks |
| url | https://www.sciencedirect.com/book/9780128204887 |
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