The edge refers to the part of the entity or logical concept that is farther from the center and closer to the boundary. In the field of data processing, the concept of edge computing originates from cloud computing, which refers to building a computing node that integrates network, computing, storage, and application core capabilities on the side close to the data source to provide the ability to process data nearby, rather than All data is processed by the cloud. Some people may ask questions. Isn't the purpose of cloud computing just to centralize data to the cloud for processing?
Why is it now necessary to divide labor to the edge? To solve this doubt, let us take the IoT scenario as an example, assuming the following scenario:A company wants to build one of its own industrial parks into a smart park, and connect all the equipment in the park (including video surveillance equipment, access control equipment, fire equipment, water and electricity equipment, etc.) to the IoT platform for unified management. However, when the person job title email list in charge began to study how to connect various devices, he found that there were too many types of devices, and all these devices reported data according to their own unique industry protocols; relatively, the communication protocols supported by the IoT platform were limited, so , he wants to uniformly convert these various industry protocols into protocols supported by the IoT platform, which is a lot of work.
In the same company above, the person in charge found another problem when researching how to access the access control system: the employee data in the access control system belongs to the company's private data, and transmitting this part of the data to the cloud does not comply with the company's security policy. However, if only the access control system is not connected to the cloud, the maintenance cost is high, and it is not conducive to the linkage between systems.