Task processing method and device

Abstract

The embodiment of the invention provides a task processing method and device, is applied to a first edge device, and comprises the steps of acquiring a task, and the task comprises a plurality of sub-tasks; generating an original task graph according to a plurality of sub-tasks included in the task and the execution sequence of each sub-task; according to resource information of a second edge device connected with the first edge device, resource information of the first edge device and constraint information of each subtask, splitting the original task graph to obtain a target split task graph; and respectively issuing the target split task graph to each edge device, and performing task unloading on the corresponding sub-task on each edge device, so that each edge device executes the corresponding sub-task. By applying the method provided by the embodiment of the invention, the deployment difficulty and cost of the computing cluster can be reduced, the task processing delay is reduced, and the data security is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a task processing method and device. Background technique [0002] In order to meet the needs of enterprises, factories, buildings, transportation, and medical scenarios for tasks such as face recognition, perimeter protection, and area monitoring, a large number of devices are deployed at the edge of the network, which can be referred to as edge devices hereinafter. The computing resources of edge devices are relatively scarce. In this case, in order to meet the above-mentioned requirements for computing resources for various tasks, the computing cluster is divided into three layers, namely cloud layer, edge layer and device layer. The device layer includes multiple edge devices for collecting data and creating tasks, and the cloud layer and edge layer are responsible for the calculation of completing tasks. [0003] Through the above-mentioned computing cluster, t...

AI Technical Summary

Problems solved by technology

[0003] Through the above-mentioned computing clusters, the shortage of computing resources of edge devices and the inability to complete task calculations are solved, but additional cloud and edge layers need to be deployed, which increases the difficulty and cost of computing cluster deployment

In addition, the task needs to be sent from the edge device to the cloud layer and the edge layer, and then the calculation of the task is completed by the cloud layer and the edge layer, which leads to a long delay in the processing of the task and poor data security

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