Edge computing refers to an IT architecture and a distributed computing paradigm that delivers data storage and computation nearer to the sources of data. The main purpose of edge computing is to bring the computing closer to the source of data to improve the speed of response, diminish the latency, as well as to save bandwidth.
In other words, edge computing runs several processes in the cloud and transfers the same to local areas like IoT devices or the computers of the users. Using this, the communication and delivery of data from the client and server will become faster.
Edge computing is very useful especially nowadays where various applications, devices, and services are utilized by people in the online world.
Importance of Edge Computing
- One of the primary importance of edge computing is that it is cost-saving because it reduces the server resources and bandwidth usages. Thus, a certain amount of time and money will be saved.
- It minimizes the latency or the delay that could happen from the long-distance travel of data from the end-user to the server. It enables faster communication of data by bringing the process to the edge network.
- This is useful in IoT devices, monitoring security systems, efficient caching, video conferencing, self-driving cars, artificial intelligence, and other automation systems.
- It is also necessary to ensure speedy delivery of data in processes that need real-time updates. It can also reduce the volume of data that must be transferred as well as the traffic that may be encountered in the moving process.
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