Benefits of Edge computing
Edge computing is one of the hottest topic these days. Everyone in the Internet of Things (IoT) industry is talking about Edge computing and its implementation for several reasons. Most of the big data solutions that are working currently in the market are using cloud solutions. In the cloud, the information is collected from the sensors and transferred to the remote data warehouses where processing is done. The processed data is sent back to the devices that are to be controlled. With the growth of IoT, the need for faster processing has gained importance. It is proven fact that Edge computing is comparatively more advantageous because it processes data within or nearest to the devices that produce this data. But the question remains – is this the only reason for the increasing prominence of Edge computing? Let’s delve deeper and find out why Edge computing is the perfect solution for IoT.
Why Edge computing is important
Here are some crucial factors that explain why Edge computing is important:
The method of on-device data processing is known as Edge computing. Think about ‘edge’ as a gateway for the Internet-connected devices. When we process data at the edge, it reduces latency and makes our applications more robust. How? Because we do not have to send data generated by our applications to the cloud warehouses. Device to cloud round trips takes a lot of time that can be greatly reduced using Edge computing. Many applications that use Machine learning or computer vision are highly dependent on fast processing speeds.
If we have some sensitive data being used and generated by our applications, it is easy to store and process this data within or near the device instead of sending it to the cloud. This can highly reduce the security risks associated with the data being transferred to cloud servers.
Deploying the Edge technology enables us to do computing and processing tasks without having an active internet connection. Because the data is processed within the device itself, we can use other technologies for processing and data transfer within the processing unit and Application.
Even if internet connection is used, the Edge system utilizes less bandwidth. When we store and process data on the edge without sending it back and forth to the cloud it reduces our data transport requirements resulting in lower bandwidth costs.
For numerous reasons, Edge computing greatly reduces our costs. We do not have to pay for cloud infrastructure and warehouses. This methodology also reduces the data storage issues that most of the cloud-based applications are facing.
Best suitable for the Internet of Things:
IoT involves many critical applications that need faster data processing. It involves many applications that can be highly affected by slower speed and poor internet connection that are vital when we have to process data at the cloud. Consider the remote areas where high-speed internet connection is not available. If the sensors generate data that is not sent, processed and received by the application on time, it can result in complete system failure.
These are some of the points that show the importance of Edge computing and why it should be used for better benefits of the applications. There are many other topics that are widely discussed and debated upon for showing the importance of edge computing. But these points are agreed upon and are enough to deploy this technology for most of the applications.
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