Resource scheduling method and device, server and storage medium

Abstract

The embodiment of the invention discloses a resource scheduling method and device, a server and a storage medium. The method comprises the following steps: if the state of a processing server corresponding to a non-intelligent image collector is detected to be abnormal, collecting computing power data of a candidate intelligent image collector; taking the candidate intelligent image collector of which the computing power data is greater than a preset computing power data threshold value as a target intelligent image collector; the data receiving parameters of the target intelligent image collector are determined, the data receiving parameters are sent to the non-intelligent image collector, the non-intelligent image collector sends data to the target intelligent image collector according to the data receiving parameters, and the target intelligent image collector receives and processes the data. According to the scheme, under the condition that the processing server is abnormal, the resources of the intelligent image collector are fully utilized to process the data of the non-intelligent image collector, the situation that the processing server is abnormal and cannot be realized is avoided, and the resources are fully utilized.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of intelligent control, and in particular, to a resource scheduling method, device, server and storage medium. Background technique [0002] With the introduction of new smart chips, the computing power of the front-end smart camera is getting stronger and higher, and the intelligence is getting higher and higher. The image processing can be directly completed in the front-end smart camera. However, since in many projects, non-intelligent cameras have been deployed before, it will consume a lot of manpower and material resources to replace all non-intelligent cameras with intelligent cameras. Therefore, there are still a large number of non-intelligent cameras being used. [0003] The image processing of non-smart cameras needs to be completed in the back-end processing server. The image data processing of non-intelligent cameras depends on the back-end processing server. If the ba...

AI Technical Summary

Problems solved by technology

For the image data processing of non-smart cameras, it depends on the back-end processing server. If the back-end processing server is abnormal, the image data of all non-smart cameras corresponding to the processing server cannot be processed.

Manual troubleshooting will cause image data to not be processed in time, affecting real-time performance. If multiple processing servers are deployed, resources will be idle and wasted

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