3 Top Benefits of Edge Computing: The Next Big Thing
Being an exciting new approach to network architecture, Edge computing helps organizations break beyond the limitations imposed by traditional cloud-based networks.
Since edge computing is often praised as the “next big thing,” now people are surely wondering how edge computing is beneficial for them. Well if you also want to know its benefits, then you are in the right place.
But, before learning its benefits, let’s first learn what it actually is.
About Edge Computing
A distributed computing concept that integrates intelligence to edge devices, permitting data to be analyzed and processed in real-time near the data collection source is what we call edge computing. Besides, in edge computing, data do not need to be uploaded directly to the cloud or centralized data processing system.
Benefits of Edge Computing
Do you know about the level of damage that a security breach can cause to an IoT system, especially if it occurs at the central server? Well, it can wreck the entire system and can make it vulnerable. At the same time, if the security systems are present at each ‘edge’, any bug at one edge can be settled separately without even concerning the other parts of the IoT system.
2. Faster Processing
As we all know that the IoT has so many applications working together. And, if somehow they are sharing the same central server, all of them can really slow down the server.
Besides, in an IoT environment, the central server will also have to manage very high volumes of data. Bulk data give rise to complexities for not just the server, but all the fragments of the IoT system. That means, all the connected devices also fail if the server slows down or fails!
On the other hand, in edge computing, data is accessible locally to each connected device. It means that the edge technology enables the data processing at each device’s ‘edge’. Moreover, it is closer to the data source.
Moreover, making the processing faster, the proximity of the processing and data centers reduces the need for data to travel to the centralized server. And, as this lessens the data movement requirements, the response time reduces at each fragment of the IoT, adding to high efficiency.
And, since all the data is not processed together centrally, another speed benefit of this system occurs. So, only a part of the data processing is done, at each processing center. Along with this, multi-processing makes the system more prolific.
Plus, it saves a lot of unnecessary network cluttering, as the entire network is not exchanging data all the time, only while maintaining data sharing between nodes only as and when required.
Edge computing enables us to categorize the data from a management perspective. You reduce the need for costly bandwidth to connect all of your locations, and bandwidth translates directly into dollars, by retaining as much data within your edge locations. Edge computing is not at all means excluding the need for the cloud but means optimizing the flow of your data in order to enhance your operating costs.
Other than that, Edge computing lessens some level of data redundancy. And, while you reduce redundant storage, you also lessen the redundant cost.
These factors show how beneficial Edge Computing is. And, that’s not all. Their varieties of benefits explain why its applications are extending to agile and real-time systems.