Intelligent operation and maintenance supporting method

A support method, operation and maintenance technology, applied in the field of resource intelligent management, can solve problems such as untrustworthy resources or users, abnormal data scheduling, and lack of perfect data monitoring system, achieve visual operation and maintenance management, good reliability, support backup and The effect of automatic recovery

Pending Publication Date: 2020-09-25
北京赛博云睿智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the application field of big data, there is no complete system or platform for scheduling operation and maintenance of big data resources, which can realize the dynamic, flexible and convenient scheduling system of resources when users retrieve data from big data clusters.
In the case of a system without resource scheduling operation and maintenance management, the resource or user untrustworthy state may occur when the user performs resource scheduling, which makes the data scheduling abnormal, and the user who performs data scheduling cannot know the abnormality of the transferred data data, there is no perfect data monitoring system

Method used

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  • Intelligent operation and maintenance supporting method
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  • Intelligent operation and maintenance supporting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] as attached figure 1 A method flow chart of an intelligent operation and maintenance support method is shown, including:

[0073] Step 100: Perform resource dynamic scheduling through the resource virtualized cloud operating system, and determine the parameter configuration of the resource dynamic scheduling;

[0074] The present invention realizes the virtualization of the data resources through the cloud operating system when implementing the dynamic scheduling of the data resources, and then can realize the resource scheduling of the data in the Internet. In data scheduling, resources such as network resources, computing resources, and storage resources are virtualized, so that the data nodes of the present invention can be virtualized. As a preferred embodiment, the present invention can support at least 100,000-level data nodes Resource virtualization and automatic scheduling. As a preferred embodiment: the present invention meets the requirements of the big data...

Embodiment 2

[0083] As an embodiment of the present invention, the resource virtualization cloud operating system is used to perform dynamic resource scheduling, and determining the parameter configuration of the resource dynamic scheduling includes:

[0084] Realize resource isolation and sharing of resource scheduling clusters across distributed applications and frameworks; among them

[0085] The application program and the framework are used to issue isolated tasks and shared tasks, perform calculations on the isolated tasks and shared tasks, and acquire parameter configurations of task processes;

[0086] The cloud operating system is an extensible operating system combined operation, which realizes resource scheduling function by adding applications and frameworks

[0087] The applications include, but are not limited to, fault-tolerant mechanism software, task isolation software, and resource computing configuration software;

[0088] The framework includes but is not limited to fa...

Embodiment 3

[0095] As an embodiment of the present invention, the resource virtualization cloud operating system is used to perform dynamic resource scheduling, and determining the parameter configuration of the resource dynamic scheduling includes:

[0096] issuing a resource allocation task through the application program, and running the resource allocation task on the resource scheduling cluster;

[0097] The cluster resources of the resource scheduling cluster are modularized through lightweight containerization and isolation functions.

[0098] The principle of the present invention is that the present invention allocates resource allocation tasks through application programs, and then allocates resource allocation tasks based on resource scheduling on the cluster, and finally isolates each process, cluster resource, and preset isolation function of the task through containerization Realize the modularization of cluster resources.

[0099] The beneficial effect of the present inven...

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Abstract

The invention provides an intelligent operation and maintenance supporting method. The method comprises the following steps: dynamically scheduling resources through a resource virtualized cloud operating system; determining a working path of the resource dynamic scheduling based on the parameter configuration; monitoring the working path, and displaying the abnormity of the dynamic scheduling ofthe resources through a thread state. The invention has the beneficial effects that data virtualization is carried out through the cloud operating system, so that instantaneous connection of data canbe realized, and access equipment is not limited by hardware facilities. Automatic scheduling of resources is achieved, and visual operation and maintenance in the resource data scheduling process areachieved through monitoring. Due to the fact that automatic scheduling of resources can be achieved, automatic migration of abnormal faults can be achieved through resource scheduling, and backup andautomatic recovery are supported.

Description

technical field [0001] The invention relates to the technical field of resource intelligent management, in particular to an intelligent operation and maintenance support method. Background technique [0002] At present, in big data technology, the scheduling of big data flow data has been realized, and the data resources obtained from big data can be applied to various industries. However, in the application field of big data, there is no complete system or platform for scheduling operation and maintenance of big data resources, which can realize the dynamic, flexible and convenient scheduling system of resources when users retrieve data from big data data clusters. In the case of a system without resource scheduling operation and maintenance management, the resource or user untrustworthy state may occur when the user performs resource scheduling, which makes the data scheduling abnormal, and the user who performs data scheduling cannot know the abnormality of the transferre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/50
CPCG06F9/45558G06F9/5027G06F9/5072G06F2009/45591
Inventor 王军平
Owner 北京赛博云睿智能科技有限公司
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