What Is Edge Computing?

Why Use Edge Computing?

Most companies store, manage, and analyze data on a centralized storage, typically in a public cloud or private cloud environment. However, traditional infrastructure and cloud computing are no longer able to meet the requirements for many real life applications. For example, in the case of IoT (Internet of Things) and IoE (Internet of Everything), a highly available network with minimal latency is required to process large amounts of data in real time, which is not possible on a traditional IT infrastructure. In this case, the advantages of edge computing becomes more obvious.

Advantages of Edge Computing

In edge computing, data is processed close to the data accumulation source, so there is no longer the need to transfer data to the cloud or to an on-premises data center for processing and analysis. This approach will lessen the load on both network and servers.

Difference between Edge Computing and Cloud Computing

The main difference between cloud computing and edge computing is where the data is being processed. In cloud computing, data is collected, processed, and analyzed at a centralized location. On the other hand, edge computing is based on a distributed computing environment, in which data is collected, processed, and analyzed locally. There is no need to choose between cloud computing and edge computing for cloud solution, they don’t “compete” with each other, they just complement each other and work together to provide a better performance on applications.

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