Edge computing speeds up the processing of data streams and enables data to be processed without delay. The timeliness and immediacy of edge calculations are critical for applications where response times are critical, such as autonomous driving. In video surveillance applications, such as Gongan combat applications, edge computing timeliness is especially important. If the data is transmitted to the cloud for calculation, and then the calculation result is fed back to the control center or the collection device, it will directly affect the work efficiency of the personnel.
Edge calculation can calculate and process data at or near the data generation source, and only transfer the processed result data to the data center. Compared with transferring the source data to the cloud computing center or the data center for centralized processing, the data is greatly saved. Communication bandwidth. This is especially critical for applications that rely on the Internet or data forwarding across multiple domains. Edge computing can reduce the transmission cost by reducing the amount of data transmitted by the network, and can further improve the computational efficiency of the cloud computing center and the data center, and avoid the convergence of some sensitive source data transmission to the network, the cloud or the data center, and further enhance Data security.
The video surveillance industry is an industry that uses edge computing technology earlier. Due to the use of edge computing technology, the entire video surveillance industry has gradually transitioned from traditional video surveillance systems to video image information application systems. Especially in the application of Gong'an industry, along with Gong'an industry standard "GA/T 1400 gong video image information application system-2016" (referred to as the library standard) and "GA/T 1399 gongan video image analysis system-2016 The official release of the project has further accelerated the implementation of edge computing technology for video image information in the Gongan industry.
Fog computing, fog networks, or fogging all have the same meaning. Fog calculations and edge calculations have similar roles and goals in the Internet of Things, all driving intelligence and computing closer to data sources. But fog networking or atomization is a decentralized computing infrastructure that distributes data, computing, storage, and applications across the most logical and efficient locations between data sources and the cloud. Fog networks focus on edge devices that interact with each other, such as IoT gateways, but edge computing focuses on devices and technologies that are actually related to "things", such as cameras.
Another point of view is that fog refers to the network connection between the edge device and the cloud, while the edge refers more specifically to the calculation process near the edge device, so the fog includes edge calculation, but the fog also contains the processed data transmission. The network to the final destination.
In fact, edge calculation and fog calculation do not have a strict dividing line, but a whole of the fusion, such as the open source alliance OpenFog is the reference frame developed to support fog calculation and edge calculation.
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