Google News
Edge Computing Interview Questions
Edge Computing is more specific towards computational processes for the edge devices. So, Fog Computing includes edge computing, but would also include the network for the processed data to its final destination.
* IOT (Internet Of Things)
* Gaming
* Health Care
* Smart City
* Intelligent Transportation
* Enterprise Security
The Internet of Things (IoT) refers to the process of connecting physical objects to the internet. IoT refers to any system of physical devices or hardware that receive and transfer data over networks without any human intervention. A typical IoT system works by continuously sending, receiving, and analyzing data in a feedback loop. Analysis can be conducted either by humans or artificial intelligence and machine learning (AI/ML), in near real-time or over a longer period. 
If something is referred to as smart, that generally implies IoT. Think of self-driving cars, smart homes, smartwatches, virtual and augmented reality, and industrial IoT, for example.
Edge computing takes place at or near the physical location of either the user or the source of the data. By placing computing services closer to these locations, users benefit from faster, more reliable services with better user experiences, while companies benefit by being better able to support latency-sensitive applications, identify trends, and offer better products and services.
Edge computing is one way that a company can use and distribute a common pool of resources across a large number of locations to help scale centralized infrastructure to meet the needs of increasing numbers of devices and data.
Edge devices are physical hardware located in remote locations at the edge of the network with enough memory, processing power, and computing resources to collect data, process that data, and execute upon it in almost real-time with limited help from other parts of the network.
An IoT device is a physical object that has been connected to the internet and is the source of the data. An edge device is where the data is collected and processed.
Edge devices can be considered part of the IoT when the object has enough storage and compute to make low latency decisions and process data in milliseconds.

The terms IoT device and edge device are sometimes used interchangeably.
There are many use cases which involve edge computing, from virtualised RAN to cloud gaming.

* Retail
* Farming
* Smart grid
* Smart homes
* Cloud gaming
* Manufacturing
* Content delivery
* Traffic management
* Autonomous vehicles
* Predictive maintenance
* In-hospital patient monitoring
* Virtualised radio networks and 5G (vRAN)
* Remote monitoring of assets in the oil and gas industry
What edge computing is basically, seems ambiguous and varies depending on who you ask. This post focuses on types of Edge Computing.

There are four types of edge computing.
Cloud : The first type of edge computing is Cloud. It refers mainly to large data centers run by cloud companies such as AWS, Azure, and GCP. Which may include VMware Cloud on AWS and other cloud or provide for too. The cloud’s key attributes centralized and runs at scale. The downside is you have very high availability of infrastructure. And also, access to a lot of facilities, and an unlimited amount of money.
The downside clustered. There is no guarantee of network access to sensors or computers at the edge and high latency. Internet traffic to and from the cloud also most likely entails an expense.
Device Edge : The second type of edge computing is the Device edge. This consists of one or more tiny servers and also known as a nano DC. It would consist only of one or a few customize and would have limited processing power. Databases in this segment would likely not mounted on a rack. And also, we would need to be able to run without refrigerating.
These are also located in places that are not typically associates in data centers. Such as warehouses, wind generators, and durable to cope with harsh weather. They positioned right next to IoT sensors, so there limit issues in latency, bandwidth, or communication. The downside is that these small devices can only have low power and facilities.
Compute Edge : The third type of edge computing is the Compute edge. It is also a micro-DC. Anyway, it is a small data center consisting of everything from a few up to many server racks. They are usually located near or next to IoT devices, and may also be needed for reasons of local enforcement. The point is that these server farms have ventilation and so on, and have regular servers installed on racks.
In these data centers, you will have quite a lot of resources. If, not the same variety of facilities and capabilities as in the cloud. One advantage is that system latency at the edge would be less relative to the cloud. So network bandwidth should be higher but more efficient.
Sensor : The final type of edge computing is the sensor. IoT sensors are instruments that either collect data or monitor things. Some sensors around the world like a surveillance camera, clock, light bulb, etc. Depending on the bandwidth, latency, or communication requirements, they would usually not include any computing power in themselves. And also, it will instead communicate with the system edge, network edge, or cloud.