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Container resource scheduling method and device, computer equipment and storage medium

A resource scheduling and computer program technology, applied in the field of big data, can solve problems such as low scheduling efficiency and inability to request resources in time, and achieve the effect of improving efficiency

Pending Publication Date: 2022-03-15
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, by monitoring resource demand changes in real time and then scheduling, the current leading services will not be able to request the required resources in a timely manner.
[0003] Therefore, the current container resource scheduling method has the defect of low scheduling efficiency

Method used

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  • Container resource scheduling method and device, computer equipment and storage medium
  • Container resource scheduling method and device, computer equipment and storage medium
  • Container resource scheduling method and device, computer equipment and storage medium

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Embodiment Construction

[0041] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.

[0042] The container resource scheduling method provided by the embodiment of this application can be applied to such as figure 1 shown in the application environment. The data storage system can store data that needs to be processed by the server 104 . The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 can construct a Markov chain directed graph based on various operating resources in the container, and obtain the corresponding transition probability matrix based on the historical state transition...

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PUM

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Abstract

The invention relates to a container resource scheduling method and device, computer equipment, a storage medium and a computer program product, which are used for big data or other fields. A plurality of state nodes are formed by a plurality of operation resources in a container to construct a Markov chain directed graph, and a transition probability matrix corresponding to the Markov chain directed graph is obtained according to historical state transition times among the plurality of state nodes; and determining a second dominant operation resource corresponding to the container according to the transition probability matrix, the number of the operation resources in the container and the dominant operation resource used by the service which uses the most operation resources in the current container, and scheduling the operation resources in the container according to the second dominant operation resource. Compared with a traditional mode of monitoring the change of the dominant operation resources of the container in real time and then performing a series of scheduling, the scheme has the advantages that the dominant operation resources in the container are predicted by constructing the Markov chain directed graph and utilizing the transition probability matrix, so that the scheduling efficiency of the resources in the container can be improved.

Description

technical field [0001] The present application relates to the technical field of big data, and in particular to a container resource scheduling method, device, computer equipment, storage medium and computer program product. Background technique [0002] With the rapid development of computer technology, cloud computing has become the main way for computers to process data, and the demand for cloud computing applications has also developed rapidly. Traditional virtualization technology has exposed its shortcomings in resource utilization efficiency and performance. Therefore, current cloud computing application delivery platforms are usually based on container technology. In order to ensure that the resources in the container meet the needs of the ongoing business scenario, the resources in the container need to be scheduled. Currently, the scheduling of container resources is usually done by monitoring the current leading running resources of the container in real time, and...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F16/27G06F9/455G06F17/18G06N7/00
CPCG06F9/5016G06F9/5027G06F16/27G06F9/5072G06F9/45558G06F17/18G06F2009/45595G06N7/01
Inventor 李华温丽明帅翡芍郑洁锋
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA