This book provides a comprehensive introduction to video traces and their use in networking research. After first providing the basics of digital video and video coding, the book introduces video traces, covering the metrics captured in the traces, the trace generation, as well as the statistical characteristics of the video characterized in the traces.

This book provides a comprehensive introduction to video traces and their use in networking research. After first providing the basics of digital video and video coding, video traces are introduced, covering the metrics captured in the traces, the trace generation, as well as the statistical characteristics of the video characterized in the traces. Attention is then turned to the use of the video traces in networking research, examining the practical aspects of transporting video over Internet Protocol (IP) networks and the simulation of video transport using traces, including the simulations using the offset distortion traces. Software tools and utilities that facilitate the use of video traces in network simulations and other video networking related software tools are also presented.

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.