An edge computing gateway system for computing power allocation

Abstract

The invention discloses an edge computing gateway system for realizing computing power assembly. The edge computing gateway system comprises a data source node, an edge computing gateway and a cloud collaborative computing server, wherein the plurality of data source nodes are used for sensing and generating data needing to be calculated and processed; the edge computing gateway is in communication connection with the plurality of data source nodes and is used for acquiring, computing and processing data generated by perception of the data source nodes and converting a network protocol; the cloud collaborative computing server is in communication connection with the edge computing gateway; and the cloud cooperative computing server is used for cooperating with the edge computing gateway tocompute and process data generated by perception of the data source node and feeding back a processing result to the edge computing gateway, and when the computed data volume is too large, the configuration of computing power can be reasonable and efficient.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an edge computing gateway system for realizing computing power combination. Background technique [0002] With the continuous progress of society and the rapid development and coverage of the Internet of Things, for example, in the application scenarios of the Internet of Things such as smart cities, smart homes, smart buildings, smart security and smart transportation, the collection types and means of information and data are increasingly increasing. The abundance of data and the popularization and application of artificial intelligence algorithms such as machine learning and face recognition have led to an explosive growth in the amount of data and calculations that need to be processed. Cloud-based IoT solutions are gradually unable to meet people's growing needs. [0003] In order to adapt to the explosive growth of the amount of data and calculations that nee...

AI Technical Summary

Problems solved by technology

[0002] With the continuous progress of society and the rapid development and coverage of the Internet of Things, for example, in the application scenarios of the Internet of Things such as smart cities, smart homes, smart buildings, smart security, and smart transportation, the collection types and methods of information and data are increasingly increasing. The popularity and application of artificial intelligence algorithms such as machine learning and face recognition have led to explosive growth in the amount of data and calculations that need to be processed. Cloud-based IoT solutions are gradually unable to meet people's growing needs.

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