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Edge Computing, Edge Network examples, applications, for Internet of Things (IoT)



What are the Edge Computing and Edge network?

Edge computing mainly aims to get computers as closely as possible to the data source to minimize bandwidth and latency. Edge computing means, in simplified words, that fewer cloud operations are done and that tasks are transferred to local areas such as on a Desktop, IoT computer, or edge server. The calculation to the edge of the network minimizes the amount of contact between the client and the server over the long run.

The key approach to the Edge network is that, unlike origin servers and cloud servers that can be very far from devices they connect, the edge of the network is physically close to the user.


Edge computing can be understood by some examples, assume we are using hey google in Google home or google home mini, and we ask any information like the weather of that day then google mini will take your voice data and it will compress it and then send it to the google's cloud server were on google cloud server computing or by any API this voice recognition will be decompressed and recognized by the cloud computing as a request for data of weather of that day. then it will provide the data to back to google mini home and then you will listen to that request.

this whole process is very lengthy and time taking also if using many requests like these then very stress full for bandwidth and latency. Hence if we increase the capabilities of these types of devices or any devices working like this on cloud servers, by providing them a computing edge within the device then all the processes will be a lot faster and safer than earlier. There can be more privacy also if more data is being computed on the local device. 


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