Understanding Network Transports | Pearson IT Certification


Understanding Network Transports | Pearson IT Certification
English | Size: 14.89 GB
Genre: eLearning

This video considers the engineering problems to solve when transporting data from one device to another over a network and the solutions available for those problems. The presentation follows the pattern of the Recursive InterNetworking Architecture, or RINA, model, in breaking the problems down into marshaling, multiplexing, error handling, and flow control. For each of these four problems, a set of solutions is presented, such as marshaling grammars, addressing, forward error correction, and windowing. After the theoretical foundation is in place, several implementations are discussed to “fill out” the problems and solutions presented. The video also considers the problem of interlayer discovery—and some of the solutions available in this space—to provide a complete picture of data transport in a computer network.

Many engineers find themselves “sipping from the firehose,” trying to learn and understand a rapidly-changing set of technologies to solve ever-changing business requirements. The problems that need to be solved to carry data from one host to another, whether physical or virtual, however, were discovered early in the process of designing networks and protocols. The set of solutions to these problems, while expressed in a bewildering variety of products, technologies, and protocols, is also more constant that it might initially appear.

By learning the basic problems required to transport information across a network, and a common set of solutions to those problems, engineers can anticipate new technologies. New technologies are almost always a new implementation of some already known solution, designed to solve a problem that is already well-understood. By learning these common problems, and a range of solutions for each one, engineers can learn to ask the questions needed to quickly guide their learning in new technologies and products, as well as in quickly understanding where any solutions may face implementation or theoretical problems.

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