Computing In Communication Networks
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Computing in Communication Networks
Computing in Communication Networks gives an understanding, together with practical implementation skills, of 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. It 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, this book provides a comprehensive overview of current standardization activities for readers that are practitioners or industry implementers. With this book you will learn: The needs of upcoming communication networks to support verticals in transportation, industry, construction, agriculture, health care, and energy grids Underlying concepts, such as network slicing and mobile edge cloud The enabling technologies, such as SDN / NFV / ICN Of disruptive innovations, such as network coding, compressed sensing, and machine learning How to build a virtualized network infrastructure testbed on one's own computer To place new functionality within the virtualized network infrastructure
Computer Communication Networks
In 1968 the Advanced Research Projects Agency (ARPA) of the U.S. Department of Defense began implementation of a computer communication network which permits the interconnection of heter ogeneous computers at geographically distributed centres through out the United States. This network has come to be known as the ARPANET and has grown from the initial four node configuration in 1969 to almost forty nodes (including satellite nodes in Hawaii, Norway, and London) in late 1973. The major goal of ARPANET is to achieve resource sharing among the network users. The resources to be shared include not only programs, but also unique facilities such as the powerful ILLIAC IV computer and large global weather data bases that are economically feasible when widely shared. The ARPANEr employs a distributed store-and-forward packet switching approach that is much better suited for computer communications networks than the more conventional circuit-switch ing approach. Reasons favouring packet switching include lower cost, higher capacity, greater reliability and minimal delay. All of these factors are discussed in these Proceedings.
Advances in Computer Communications and Networks from Green, Mobile, Pervasive Networking to Big Data Computing
Advances in Computer Communications and Networks: from Green, Mobile, Pervasive Networking to Big Data Computing studies and presents recent advances in communication and networking technologies reflecting the state-of-the-art research achievements in novel communication technology and network optimization.