Multi-target cloud task balanced scheduling method, server and storage medium

A task-balancing, multi-objective technology applied in the field of communication

Active Publication Date: 2019-08-20
长沙雷电云网络科技有限公司
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  • Application Information

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Problems solved by technology

[0009] The main purpose of the present invention is to provide a multi-objective cloud task balanced scheduling method, server and storage medium, aiming to solve the cloud task in the scheduling process, if there are constraints on the task completion time and task execution budget, how to solve the problem? The technical problem of achieving balanced scheduling between task execution time and execution cost

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  • Multi-target cloud task balanced scheduling method, server and storage medium
  • Multi-target cloud task balanced scheduling method, server and storage medium
  • Multi-target cloud task balanced scheduling method, server and storage medium

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Embodiment Construction

[0071] It should be noted that the multi-objective cloud task balanced scheduling method of the present application is a cloud task scheduling method based on the gravity search algorithm. The Gravity Search algorithm is an existing algorithm:

[0072] The gravitational search algorithm is an effective method for solving continuous optimization problems in a multi-dimensional solution space inspired by Newton's theorem of universal gravitation. The algorithm assumes that multiple agent particles move in the multidimensional space, and each agent represents a solution to the problem. The greater the gravitational mass of the agent, the better its performance, because the agent with greater mass will have greater attraction for other agents force. During the execution of the whole gravitational search algorithm, each agent will adjust its position according to the gravitational force, and move towards the direction of the optimal K agents in the population.

[0073] Assuming t...

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Abstract

The invention discloses a multi-target cloud task balanced scheduling method, a server and a storage medium. According to the invention, the method comprises steps of carrying out initialization processing on the target parameters of the current multi-target cloud task; generating N population particles for the current multi-target cloud task based on each target parameter according to a preset rule, wherein each population particle represents a scheduling result of each cloud task on different cloud resources, each population particle represents an m-row n-column matrix, and a single elementof the matrix represents a scheduling result of a single cloud task on one cloud resource; calculating the particle speed of each group particle based on a gravitation search algorithm; updating a matrix corresponding to each population particle according to the particle speed of each population particle; taking the updated matrix as a final scheduling solution, and finally selecting a task scheduling optimal solution from the final scheduling solution. According to the task scheduling method and the task scheduling device, under the condition that constraint conditions of task predetermined completion time and task execution budget exist at the same time, balanced scheduling of the current multi-target cloud tasks can be realized.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a multi-objective cloud task balanced scheduling method, server and storage medium. Background technique [0002] Cloud task scheduling is different from traditional task scheduling problems, and there are more and more complex factors to be considered. First of all, the service quality requirements of its users are more diverse when performing tasks, such as the need to meet the service response time or the need to consider service costs. Second, cloud services are characterized by heterogeneity, dynamics, and elasticity. Finally, when a task is submitted, it needs to meet the constraints of a predefined time or execution budget. The task scheduling problem at this time is essentially a joint optimization problem. [0003] In the current research, some works mainly focus on the optimization of execution time, without considering the user's budget constraints. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06N3/00
CPCG06F9/4881G06N3/006
Inventor 张小庆
Owner 长沙雷电云网络科技有限公司
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