Edge computing task scheduling method and device thereof

Abstract

The invention discloses an edge computing task scheduling method and a device thereof, relates to the technical field of edge computing, and aims to optimize the edge computing task scheduling methodso as to improve the message transmission efficiency in a service link and finally improve the efficiency of executing the whole service process, and the main technical scheme of the invention is as follows: receiving sensing data sent by an edge sensor; searching a service type corresponding to the sensing data; allocating the sensing data to a service link matched with the service type, and executing a service flow corresponding to the service link; wherein the service link is a logic link composed of a plurality of service nodes, and the service nodes are Actor models packaged with servicecalculation logic. The method and the device are applied to matching the sensing data to the preset service link to execute the service process through task scheduling.

Description

technical field [0001] The present invention relates to the technical field of edge computing, in particular to an edge computing task scheduling method and device. Background technique [0002] With the continuous innovation and development of science and technology, edge computing has been widely applied to the Internet of Things, so that by integrating core capabilities such as network, computing, storage, and applications at the edge of the network close to the source of objects or data, edge intelligent services are provided nearby. Meet the key needs of industry digital in terms of agile connection, real-time business, data optimization, application intelligence, security and privacy protection. [0003] At present, most distributed task scheduling methods for edge computing are implemented based on the Message Queuing Telemetry Transport (MQTT) protocol, and tasks are arranged and scheduled through publish and subscribe. For example, combining figure 1 Given the tas...

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Problems solved by technology

[0004] However, due to the relatively high real-time requirements of edge computing, the publication and subscription of multiple messages through the MQTT protocol, especially in the case of high concurrency, will result in low message transmission efficiency. In addition, assuming that the amount of message data is large When it is large (such as reaching 1 trillion), the MQTT protocol itself has the defect of insufficient transmission capacity for large message bodies, which will make message transmission efficiency lower, thereby reducing the execution efficiency of a business process

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