Edge calculating resource scheduling method, edge equipment and system

Abstract

The embodiment of the invention provides an edge calculating resource scheduling method, edge equipment and a system; the method comprises the following steps: edge equipment obtains processing capability loading values of the edge equipment and adjacent edge equipment according to a preset period; when a task is formed, the edge equipment determines whether the edge equipment possesses conditionsfor processing the task or not according to the current value of the processing capability loading value; if yes, the edge equipment automatically processes the task; if not, the edge equipment sendsthe task to the adjacent edge equipment or a big data processing platform for processing. The method compares the task processing capability with a task processing demand; when the edge equipment cannot satisfy the processing demand, the method schedules the adjacent equipment or the big data processing platform to process the task, thus solving the unified management problems such as interactionand synergy between edge units, edges, and edge and backstage computing capability under the edge calculating framework; the method and equipment can fully schedule and more flexibly utilize the calculation resources.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of Internet of Things and data processing, specifically an edge computing resource scheduling method, an edge device, and a system. Background technique [0002] The front-end data collection points (edge ​​devices) in the Internet of Things initially only have the functions of data collection and transmission. Due to the high integration of sensors and the increase in the amount of data acquired by edge devices, the demand for computing results on the edge side where customers are located is also increasing. This has prompted the birth of edge computing theory. [0003] Traditional edge computing is a method of processing data physically close to the location where the data is generated, such as each sensing node of the Internet of Things. Some sensing nodes are not only responsible for collecting and transmitting data, but also realize part of the data processing and result output fu...

AI Technical Summary

Problems solved by technology

However, there are certain limitations in the processing power and computing power of edge devices, which may lead to the inability to complete the corresponding functional requirements.

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