Calculation task scheduling method, system and device for edge calculation

Abstract

The invention belongs to the technical field of edge calculation, particularly relates to an edge calculation-oriented calculation task scheduling method, system and device, and aims to further improve the real-time performance of edge-side calculation task processing and maximally utilize edge-side resources. The method comprises the steps that each edge node obtains a to-be-executed calculationtask, selects a task meeting the execution requirement for processing, and does not meet the execution requirement to serve as a first task to be unloaded to an edge cloud; the edge cloud sorts the first tasks and selects and processes the first tasks meeting the execution requirements, and the first tasks which do not meet the execution requirements are used as second tasks; edge nodes meeting the execution requirements of the second tasks are selected and dispatched, If not, the edge nodes serve as third tasks; and segmenting the third task, selecting edge nodes and / or edge clouds and / or center clouds meeting execution requirements after segmentation, and performing scheduling processing, otherwise, performing processing unsuccessfully. According to the method, through cloud-edge-end cooperative processing, resources on the edge side are reasonably utilized, and the real-time performance of calculation task scheduling processing is improved.

Description

technical field [0001] The invention belongs to the technical field of edge computing, and in particular relates to a computing task scheduling method, system, and device for edge computing. Background technique [0002] With the advent of the Internet of Things era, the amount of data has increased dramatically. Faced with a variety of Internet of Things application scenarios, higher requirements have been placed on the real-time and security of data processing. Although the traditional cloud computing platform has abundant computing and storage resources, it provides an efficient computing platform for data processing, but the location of the cloud computing platform is far away from the user, and there is a high network delay, which makes it difficult to realize data processing. The real-time nature of processing also increases the bandwidth pressure caused by data transmission; secondly, when a user makes a service request to the cloud, the user's private data will be up...

AI Technical Summary

Problems solved by technology

However, at the same time, edge computing still shows certain disadvantages: that is, the resources on the edge side are limited, and the processing effect of the existing edge side processing methods cannot meet the needs of users in the case of concurrent multi-computing tasks.

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