What new : edge computing and cloud computing
#image_title
Hey there! Have you heard of edge computing? It’s a super exciting development happening in the world of technology that is making the most out of the IoT explosion. And I’m here to tell you all about it!
What is Edge Computing?
Edge computing is a method of processing data where the processing is done closer to the source of the data, rather than sending it to a centralized data center for processing. This allows for faster processing times and reduces the amount of data that needs to be sent over the network. In simpler terms, edge computing takes the computing and storage capabilities of a data center and puts them at the edge of the network, closer to the devices that are generating the data.
This image illustrates the concept of edge computing – the processing is done closer to the source of the data (in this case, the device), rather than sending it to a centralized location for processing.
Why is Edge Computing Important?
With the explosive growth of the Internet of Things (IoT), there is an enormous amount of data being generated by devices. This data needs to be processed quickly and efficiently in order to gain insights and make decisions based on the data. Traditional methods of processing data (sending it to a centralized data center) can result in delays in processing time and can be cost-prohibitive for large amounts of data. Edge computing solves these problems by processing the data closer to the source, resulting in faster processing times and reduced network costs.
How is Edge Computing Being Used?
There are many use cases for edge computing, including:
1. Autonomous Vehicles
Autonomous vehicles generate massive amounts of data that need to be processed quickly in order to ensure the safety of passengers and pedestrians. Using edge computing, the processing can be done in real-time, allowing for split-second decisions to be made.
2. Smart Homes
Smart homes rely on a multitude of connected devices that generate data. Edge computing can be used to process this data in real-time, allowing for smart homes to be more responsive and efficient.
3. Industrial IoT
Industrial IoT involves the use of connected devices to monitor and optimize industrial processes. Edge computing can be used to process the data generated by these devices in real-time, allowing for faster decision-making and increased efficiency.
This image shows the difference between cloud computing (sending data to a centralized data center for processing) and edge computing (processing data closer to the source).
The Future of Edge Computing
Edge computing is still in its early stages, but its potential is huge. With the growth of IoT, the amount of data being generated will only continue to increase, making edge computing even more important. As technology continues to advance, we can expect to see even more use cases for edge computing, and it will become an increasingly important part of our digital infrastructure.
Conclusion
So there you have it – edge computing is an exciting development that is making the most out of the IoT explosion. It allows for faster processing times and reduced network costs, and has many use cases in industries ranging from autonomous vehicles to smart homes to industrial IoT. As technology continues to advance, we can expect to see even more use cases for edge computing, and it will become an increasingly important part of our digital infrastructure.
Thanks for reading!
Source image : towardsdatascience.com
Source image : www.alibabacloud.com
Source image : techwireasia.com
About The Author
