Edge computing | Wikipedia audio article
Channel: wikipedia tts
Date: 2019-01-13

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Edge_computing


00:02:05 1 Overview
00:04:16 1.1 Advantages
00:06:25 1.2 Challenges
00:07:09 1.3 Grid computing
00:07:49 2 Applications
00:10:17 3 See also



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SUMMARY
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Edge computing is a distributed computing paradigm in which computation is largely or completely performed on distributed device nodes known as smart devices or edge devices as opposed to primarily taking place in a centralized cloud environment. The eponymous "edge" refers to the geographic distribution of computing nodes in the network as Internet of Things devices, which are at the "edge" of an enterprise, metropolitan or other network. The motivation is to provide server resources, data analysis and artificial intelligence ("ambient intelligence") closer to data collection sources and cyber-physical systems such as smart sensors and actuators. Edge computing is seen as important in the realization of physical computing, smart cities, ubiquitous computing, multimedia applications such as augmented reality and cloud gaming, and the Internet of Things.
Edge computing is related to the concepts of wireless sensor networks, intelligent and context-aware networks and smart objects in the context of human–computer interaction. The Internet of Things and edge computing are variously classified as sub-disciplines of the other, but edge computing is more concerned with computation performed at the edge of networks and systems whereas the Internet of Things label implies a stronger focus on data collection and communication over networks. Both disciplines are instrumental to the nascent Fourth Industrial Revolution and industry 4.0, which are predicted to improve product design and industrial feedback by providing manufacturers with telemetry and usage information, helping to drive predictive analytics and user behavior analytics, in turn allowing future products and product updates to be based on customer insights. Edge computing and related Fog computing have been proposed as environmentally friendlier alternatives to the prevalence of cloud computing in data centers by reducing network electricity consumption and cooling costs.