Task scheduling method and application based on cloud edge fusion server network architecture

Abstract

The invention discloses a task scheduling method and application based on a cloud edge fusion server network architecture. The method comprises the steps that a target slave server queries whether complete data corresponding to a current task allocated by a master server exists locally or not; if yes, the target slave server arranges the current task into a waiting queue of the target slave serverto wait for execution; and if not, the target slave server arranges the current task into the preset queue of the target slave server, and waits for the corresponding data to complete transmission. According to the cloud edge fusion server network architecture, a task scheduling mechanism is configured based on a waiting queue and a pre-prepared queue in an edge computing layer. Distributed parallel computing can be carried out by simultaneously combining a plurality of edge servers distributed at different geographic positions, so that the aim of processing low-delay response when jobs submitted by a plurality of users are processed on an edge computing layer is fulfilled, and the data processing efficiency of a server network is optimized.

Description

technical field [0001] The invention belongs to the technical field of mobile edge computing, and in particular relates to a task scheduling method based on a cloud-edge fusion server network architecture, and a server network constructed by applying the method. Background technique [0002] The revolutionary development of user mobile devices and applications has brought about the generation of massive edge data and high real-time requirements. Due to the limited energy and computing resources of User Equipment (UE), it is difficult for a traditional server network to process a large number of computing tasks in a short time. [0003] Usually, we can use the cloud computing platform to store data and calculate, and cloud computing can handle a large number of computing tasks. In the centralized cloud computing mode, the job processing process is generally as follows: the application first transmits the data to the cloud computing center, and the cloud center returns the da...

AI Technical Summary

Problems solved by technology

[0007] An embodiment of the present invention provides a task scheduling method and application based on the cloud-edge fusion server network architecture, which is used to solve the problem of low efficiency of the cloud-edge fusion server network coordination and scheduling mechanism in the prior art. The method includes:

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