What is meant by Edge Computing?

Edge and cloud are complementary. These are both parts of a broader concept called the distributed cloud. A majority of those pursuing edge computing strategies are now viewing edge as part of their overall cloud strategy.

Edge computing, unlike cloud computing, is all about the physical location and issues related to latency. Cloud and edge combine the strengths of a centralized system, along with the advantages of distributed operations at the physical location where things and people connect. In IoT scenarios, the edge is very common. Cloud is different from the edge, in that it has never been about location. As opposed, it has always been about the independence of location.

The popular scenarios are where you have cloud and edge together, and the cloud provider controls to run and defines the architecture for what is out at the edge.

Microdata centers with mesh network processes or saves important data locally and force various received data at the central data center with a space of fewer than 100sq ft.

In IOT use cases, it is typically referred to edge devices for collecting data at times of large amounts of it and offer everything to a data center or cloud for the purpose of processing.

In IoT use cases it is typically referred where massive amounts of data are collected and send via data center or cloud for processing. The data is locally triaged by edge computing, therefore, few of them is locally processed by decreasing the backhaul traffic of the central repository.

IoT devices transfer the data to a local device that has storage, compute and network connectivity in a minute form factor.