Mass data smooth scheduling system and method based on multiple Agents and medium

Abstract

The invention discloses a mass data smooth scheduling system and method based on multiple Agents, and a medium. The method comprises the following steps: carrying out login authentication on a first Internet of Things terminal through a first equipment management module; receiving first data uploaded by the first Internet of Things terminal through the first equipment access module, and determining first to-be-scheduled data and first local data; decoding the first local data through the first equipment management module; sending the first to-be-scheduled data to a second equipment management module through the first Agent agent module and the second Agent agent module; and decoding the first to-be-scheduled data through the second equipment management module, and returning a first command to the first Internet of Things terminal according to a decoding result. According to the invention, the service calculation pressure of a single cluster node of the Internet of Things equipment management platform is reduced, and the stability of the Internet of Things equipment management platform is ensured. The method can be widely applied to the technical field of Internet of Things data processing.

Description

technical field [0001] The invention relates to the technical field of Internet of Things data processing, in particular to a multi-agent-based massive data smooth scheduling system, method and medium. Background technique [0002] The IoT device management platform provides access services for devices, and needs to provide IP or domain name addresses, configure addresses for devices, and send data to the IoT platform. With the gradual increase in the number of IoT devices, the platform adopts a single-node deployment method to provide access services for a large number of devices, which will face greater computing pressure. It is necessary to deploy multiple nodes to achieve business sharing and reduce computing pressure. Deploying multiple platform nodes means providing multiple IP or domain name addresses, but the deployment of IoT devices is relatively scattered, and it takes a lot of manpower and material resources to modify the device configuration addresses. Therefor...

AI Technical Summary

Problems solved by technology

The method of transferring devices to new nodes by modifying the configuration addresses of devices already connected to nodes has great disadvantages: the deployment of IoT devices is highly decentralized, and for devices already connected to nodes, once the deployment is completed Putting it into operation, and then changing the configuration address means a loss of income, and the process will also consume huge human and financial resources

At the same time, the node pressure in different regions will also change with the number of IoT devices, and the replacement of the configuration address on the device side cannot fundamentally solve the problem of unbalanced pressure on different nodes

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