Task processing method and device of edge device, equipment and computer storage medium
By collecting the status of resource modules in edge devices and dynamically allocating tasks using a task scheduling model, the problem of low hardware resource utilization in edge devices is solved, achieving more efficient resource utilization and task processing.
CN122363872APending Publication Date: 2026-07-10CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
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Patent Information
- Application Number
- CN202510038005.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-09
- Publication Date
- 2026-07-10
AI Technical Summary
Technical Problem
In existing technologies, edge devices have low hardware resource utilization and cannot effectively configure tasks to make full use of limited hardware resources.
Method used
By collecting the status of resource modules of edge devices, the available resources for the tasks to be processed are determined, and the task scheduling model is used to predict the allocation relationship between tasks and resource modules, and the tasks are dynamically scheduled to the appropriate resource modules for processing.
Benefits of technology
It improves the resource utilization of edge devices, enhances task processing efficiency, and increases the utilization rate of hardware resources.
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Figure CN122363872A_ABST
Abstract
This application discloses a task processing method, apparatus, device, and computer storage medium for an edge device. The method includes: collecting the current resource status of multiple resource modules of the edge device; obtaining the task requirements corresponding to a task to be processed, including task workload; determining a first available resource quantity corresponding to a first resource module dedicated to the task to be processed based on the current resource status of the multiple resource modules; if the first available resource quantity is insufficient to meet the resource consumption of the task workload, predicting the allocation relationship between the task to be processed and the multiple resource modules using a task scheduling model; and scheduling the task to be processed to the allocated resource module for processing according to the allocation relationship. This application embodiment can achieve task allocation based on the resource status of hardware resources in the edge device, thereby fully utilizing the hardware resources in the edge device and improving the resource utilization rate of the edge device.
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