Edge/Fog Computing

In This Lesson You Will Learn

  1. Edge, Fog and Cloud
  2. Why 5G is important for edge computing
  3. Edge computing examples

Edge, Fog and Cloud



What is Edge Computing?

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Comparison table: Cloud, Fog, and Edge

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Edge/Fog Computing Examples

Autonomous vehicles

Autonomous vehicles

It's necessary for autonomous driving technologies to react in real-time. On average, it may take 100 milliseconds for data transmission between vehicle sensors and cloud datacenters. In terms of driving decisions, this delay has a significant impact on the reaction of self-driving vehicles. With edge computing, self-driving cars have real-time reaction time.

Video Streaming

Video Streaming

Consumers have changed the way they receive entertainment. Currently, over half of all downstream traffic is video and consumers expect fast and smooth streaming. Having edge computing next door not only improves their experience but dramatically saves on bandwidth costs.

Traffic Management

Traffic Management

Due to the expensive complexities of traffic management efficiency, one of the best ways to optimize traffic management systems is by edge computing them in real-time. Intelligent transportation systems make use of edge computing, especially for traffic management.

Remote Monitoring

Remote Monitoring

Real-time safety monitoring is one of the most important things for critical infrastructure and utilities like oil and gas. With this in mind, many cutting edge IoT monitoring devices are still being developed in order to safeguard critical machinery and systems against disaster.

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