Edge calculation-Do you understand?

Dear students, the Dragon Boat Festival is a happy past, Zongzi also eat, today to say something new.
Said fresh, in fact, is not new, in ten years ago, there is the edge of computing this noun, but with the development of the Internet of things, edge Computing was again carried out.

Concept

By name we can guess that edge computing is a local computing analysis on the side of an end device near the data source. Because it is close to the terminal, we have higher real-time computing.

In essence, Edge computing and cloud computing are all created to deal with the computational problems of data, except that they are implemented in different ways. Cloud computing is the data that is lumped together for computing, while Edge computing is calculated at the terminal. So what are the advantages compared to cloud computing?

We can see that cloud computing is going through the network to transmit all of the data and respond to it, while edge computing handles the data on the edge device in a timely manner, and sends the processed valuable data to the cloud.

Give me a chestnut.

Example data from GE official website

Today's driverless cars, with hundreds of sensors, produce 40TB of data per 8 hours of driving, most of which are unimportant, and it is impractical to send such a large amount of data to the cloud. Edge Computing is a good solution to this problem, the first local computing, the important results of the calculation and then uploaded to the cloud.

What can we tell from this chestnut?

1. Unmanned, requires the system to have real-time response ability, it can be imagined, if the system response is not the case, on the road will cause what kind of consequences. So this shows the real-time and necessity of edge computing.

2. Such a large amount of data, must contain a large number of useless data, to all the cloud is impractical, edge computing just solves this problem, after the calculation of the important results of the calculation to the cloud, greatly saving bandwidth resources.

Of course, Edge computing is not a substitute for cloud computing, but a complement to cloud computing. Because the results of the edge calculation are all or part sent to the cloud for storage analysis.

Mobile Edge Computing (MEC)

We have to mention MEC here, because the advent of the 5G era, our mobile life will be further changed. The future of the communication base station will have the computing power, we use the mobile app will be in the nearest base station to calculate, we believe that will bring us a more rapid use experience.

Intelligent Manufacturing Applications

The purpose of intelligent manufacturing is to realize the smart factory, so that the machine equipment has self-sensing ability. Instead of making decisions manually. How to achieve this goal, Edge computing is a good means, by deploying the edge computing AI platform around the device, running the machine learning algorithm, so that the edge computing platform into the brain of the machine, through a variety of sensor data analysis later to determine whether the robot state is normal, and what action to perform.

As intelligent manufacturing continues to deepen, more and more devices are networked, and more and more data is generated, and edge computing devices will become increasingly popular to process the data. At the same time, the ultimate goal of intelligent manufacturing, the device's self-perceived ability needs artificial intelligence (AI) algorithm to make decisions, and the production site of equipment control real-time requirements are very high, so in the future these algorithms are certainly in the edge of equipment to calculate, and then real-time control equipment, really become the brain of the device.

Edge calculation-Do you understand?