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Details for:
Fitzek F. Computing in Communication Networks. From Theory..2020
fitzek f computing communication networks from theory 2020
Type:
E-books
Files:
1
Size:
23.9 MB
Uploaded On:
July 19, 2020, 9:01 a.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
7F7485615712A337E9FD6D5CEDA7EF652634E50A
Get This Torrent
Textbook in PDF format 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. Provides a uniquely comprehensive overview on the individual building blocks that comprise the concept of computing in future networks Gives practical hands-on activities to bridge theory and implementation Includes software and examples that are not only employed throughout the book, but also hosted on a dedicated website Contents Future Communication Networks and Systems On the need of computing in future communication networks Standardization activities for future communication networks Concepts Network slicing Mobile edge cloud Content distribution Enabling Technologies Software-defined networks Network function virtualization Innovation Track Machine learning Network coding Compressed sensing Building the Testbed Mininet: an instant virtual network on your computer Docker: containerize your application ComNetsEmu: a lightweight emulator Realizing network slicing Realizing mobile edge clouds Machine learning for routing Machine learning for flow compression Machine learning for congestion control Machine learning for object detection Network coding for transport Network coding for storage In-network compressed sensing Security for mobile edge cloud Connecting to the outer world Integrating time-sensitive networking Integrating software-defined radios Tools Networking tools
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Fitzek F. Computing in Communication Networks. From Theory to Practice 2020.pdf
23.9 MB
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