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        Edge calculation

          What is edge computing?

          The data generated at the edge of the network is gradually increased. If we can process and analyze data at the edge of the network, then this calculation model will be more efficient. Many new computing models are constantly being proposed because we find that cloud computing is not always as efficient as the development of Internet of Things.

          Why we need edge computing?

          The promotion of cloud services: The cloud center has powerful processing performance and can handle massive amounts of data. However, but how to transfer massive amounts of data to the cloud center become a problem. The bottleneck of system performance of the cloud computing model lies in the limited bandwidth of the network. It takes a certain time to transmit massive data. The cloud center also needs a certain amount of time to process the data, which will increases the request response time and the user’s experience is extremely poor.
          The promotion of the Internet of Things: Nowadays, almost all electronic devices can be connected to the Internet, which will generate massive data. Traditional cloud computing models can not process these data in a timely and efficient manner. But to process these data at the edge node will result in minimal response time, reduced network load, and ensure the privacy of user data.
          Role change of terminal devices: Mostly, terminal devices play the role as data consumers, such as watching videos on smartphones. However, smartphones now have the ability to produce data in terminal devices, such as buying things in Taobao and searching in Baidu. These are the data generated by the terminal nodes.
          The following are two figures, Figure 1 is the paradigm under the traditional cloud computing model, and the left side is the service provider to provide data, upload to the cloud center, the terminal client sends requests to the cloud center, the cloud center responds to the relevant request and sends data to the terminal client. End customers are always the role of consumers.
          Figure 2 is the edge calculation paradigm under the rapid development of the Internet of Things. Edge nodes (including smart appliances, mobile phones, tablets, etc.) generate data and upload them to the cloud center. The service provider also generates data to upload to the cloud center. The edge node sends requests to the cloud center, and the cloud center returns the relevant data to the edge node.

          
          Figure 1 Cloud computing paradigm
          
          Figure 2 Edge calculation paradigm

          What is edge computing?

          Edge computing refers to the processing and analysis of data at the edge of the network. Hereis the definition of an edge node, which refers to any node with computing resources and network resources between the data generation source and the cloud center. For example, a mobile phone is an edge node between a person and a cloud center, and a gateway is an edge node between a smart home and a cloud center. In ideal environment, edge computing refers to analyzing and processing data near the data generation source, without the flow of data, thereby reducing network traffic and response time.

          Advantages of edge computing

          · In the field of face recognition, the response time is reduced from 900ms to 169ms
          · After some of the computing tasks are offloaded from the cloud to the edge, the overall system's energy consumption is reduced by 30%-40%.
          · Cost time can be reduced by 20 times in terms of data integration, migration, and more.
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