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Electric power system supercomputing platform task scheduling method based on Docker container

A docker container, power system technology, applied in the field of task scheduling algorithm of power system supercomputing platform, can solve problems such as low load and high energy consumption, achieve high service quality, improve resource utilization, and ensure the effect of service quality

Active Publication Date: 2019-11-15
HUAZHONG UNIV OF SCI & TECH +2
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  • Application Information

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Problems solved by technology

[0007] Designed to solve the problem of low load and high energy consumption of the power system supercomputing platform

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  • Electric power system supercomputing platform task scheduling method based on Docker container
  • Electric power system supercomputing platform task scheduling method based on Docker container
  • Electric power system supercomputing platform task scheduling method based on Docker container

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Embodiment Construction

[0100] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0101] The terms "first", "second", etc. (if any) in the present invention and drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

[0102] In order to solve the problem of low load and high energy consumption of the existing power system supercomputing platform, the present invention provides a Docker container-based power system ...

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Abstract

The invention discloses an electric power system supercomputing platform task scheduling method and system based on a Docker container, and belongs to the field of electric power system supercomputingplatforms. The electric power system supercomputing platform task scheduling method comprises the steps: a node adjustment step: predicting the future cluster resource utilization rate, reducing thenumber of starting nodes if the future cluster resource utilization rate is lower, and increasing the number of starting nodes if the future cluster resource utilization rate is higher; a resource allocation step: predicting the future cluster resource utilization rate, if the future cluster resource utilization rate is low, increasing the resource allocation of the container within a task demandallowable range, and if the future cluster resource utilization rate is high, reducing the resource allocation of the container within the task demand allowable range; a container scheduling step: deploying the containers in the scheduling queue, and realizing load balancing of different resources or realizing load balancing of nodes; and a container migration step: predicting the resource use conditions of all nodes in the future to identify overload nodes and light load nodes, migrating out part of containers in the overload nodes, and migrating out all containers in the light load nodes toclose the nodes. The electric power system supercomputing platform task scheduling method can improve the resource utilization rate of the supercomputing platform of the electric power system, and canreduce energy consumption.

Description

technical field [0001] The invention belongs to the field of power system supercomputing platforms, and more specifically relates to a task scheduling algorithm for power system supercomputing platforms based on Docker containers. Background technique [0002] The calculation amount of the power system may increase exponentially with the increase of the network scale. The traditional single physical machine cannot meet the calculation requirements. Therefore, the parallel processing method is used to perform calculations on the computing cluster. Today, computing tasks in power systems are mainly run on supercomputing platforms in distributed computing mode. However, the supercomputing platform has the problem of low load and high energy consumption, which will cause huge waste. [0003] Container technology is a lightweight solution that replaces virtual machines. Docker containers are the basic unit of resource segmentation and scheduling, encapsulate the entire software ...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06Q10/06G06Q50/06
CPCG06F9/5088G06Q10/06316G06Q50/06Y02D10/00
Inventor 郑然王昊徐得超陈勇何春江徐树文张星李晓萌饶宇飞张振安
Owner HUAZHONG UNIV OF SCI & TECH
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