Edge cloud cooperative multi-task scheduling method and system for guaranteeing edge cloud load ratio

A load ratio and scheduling scheme technology, applied in the field of edge-cloud collaborative multi-task scheduling, can solve the problem of single task of scheduling object and unsatisfactory results

Pending Publication Date: 2022-04-19
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

The scheduling object of the built-in scheduling strategy in kubernetes is a single task. Even if a series of tasks come at the same time, they are screened, scored and scheduled one by one. In this way, what

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  • Edge cloud cooperative multi-task scheduling method and system for guaranteeing edge cloud load ratio
  • Edge cloud cooperative multi-task scheduling method and system for guaranteeing edge cloud load ratio
  • Edge cloud cooperative multi-task scheduling method and system for guaranteeing edge cloud load ratio

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[0054] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0055] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps closely related to the solution according to the present invention are shown in the drawings, and the related Other details are not relevant to the invention.

[0056] It should be emphasized that the term "comprising / comprising" when used herein refers to the presence of a feature, element, step or component, but does not exclude the presence or addition of one or more other features, elements, steps or components.

[0057] Here, ...

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Abstract

The invention provides a side-cloud collaborative multi-task scheduling method and system for guaranteeing a side-cloud load ratio, and the method comprises the steps: calculating the score of each task scheduled to any node based on the remaining available amount of CPU resources and the remaining available amount of memory resources of each node, and the CPU resource request amount and the memory resource request amount of each task, establishing a score matrix; initializing a pheromone matrix; obtaining all element values based on each task, and calculating a random factor of each task; establishing a scheduling strategy boundary, and enabling ants to adopt a pheromone concentration scheduling strategy or a random scheduling strategy; obtaining a scheduling strategy of each ant, and obtaining a scheduling scheme of each ant; calculating an edge cloud load ratio, and calculating a target score of the scheduling scheme; obtaining the size of the random factor of each task, and if the size of the random factor is greater than a preset first threshold value, taking the scheduling scheme of the ant with the maximum target score as an optimal strategy; and if the information is smaller than or equal to the preset first threshold value, updating the pheromone matrix.

Description

technical field [0001] The present invention relates to the technical field of edge computing, in particular to an edge-cloud collaborative multi-task scheduling method and system that guarantees an edge-cloud load ratio. Background technique [0002] In the face of the connection of massive user equipment, the explosive growth of data traffic, and the increasing demand of users for service quality, more and more enterprises have begun to pay attention to edge computing. The rise of the edge computing model does not mean the decline of the cloud computing model. The two are not an alternative. Edge computing can actually be seen as a supplement to centralized cloud computing, providing users with better service quality. Compared with the edge cloud, the central cloud can store more data, which is convenient for global query comparison and analysis. Edge computing can better realize real-time data analysis and intelligent processing. The two have their own advantages, and t...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50G06N3/00
CPCG06F9/4843G06N3/006G06F9/505G06F9/5016
Inventor 罗红陈春丽任有为孙岩杨雪梅
Owner BEIJING UNIV OF POSTS & TELECOMM
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