Edge computing in embedded systems

Edge computing is a concept related to making data storage closer to the location where it is required.

Nowadays, we are seeing more of the opposite of this; our data, files, photos, etc., are being saved in cloud storage, which is located at a distant location. There is a latency in retrieving the data because of the distant location. Cloud storage has its advantages, as it is very cheap compared to local storage capacity. Second, you can also scale your storage capacity according to the requirement.

But some negative points are also there, which are important to think about, like what about the security? If someone hacks the cloud storage center, what will happen to my data? The second delay is in retrieving data from storage centers.

To solve these types of problems in important areas, the concept of edge computing is used, where real-time data processing, IoT devices, robotics, vehicle robots, etc.

Advantages of edge computing

  • Real-time processing of data
  • Efficient processing of data
  • Faster processing
  • Privacy protection

Disadvantages of edge computing

  • Can be costly
  • Insufficient storage
  • Low processing power
  • Local area coverage