Fitzek F Computing in Communication Networks From Theory 2020 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