CN114448773A - Intelligent scheduling method for cloud computing data center resources - Google Patents

Intelligent scheduling method for cloud computing data center resources Download PDF

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Publication number
CN114448773A
CN114448773A CN202210059268.7A CN202210059268A CN114448773A CN 114448773 A CN114448773 A CN 114448773A CN 202210059268 A CN202210059268 A CN 202210059268A CN 114448773 A CN114448773 A CN 114448773A
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module
subunit
data
cloud computing
local area
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杨传磊
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Jiangsu Taihu Huiyun Data System Co ltd
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Jiangsu Taihu Huiyun Data System Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0631Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an intelligent scheduling method of cloud computing data center resources, which comprises the following operation steps: the data acquisition module transmits acquired data to the local area network module, the dispatching center service module analyzes the data, the analyzed data are transmitted to the local area network module, and signals are transmitted to the dispatching terminal module through the local area network module.

Description

Intelligent scheduling method for cloud computing data center resources
Technical Field
The invention relates to the technical field of cloud computing scheduling systems, in particular to an intelligent scheduling method for cloud computing data center resources.
Background
Cloud computing is a pay-per-use model. This model provides available, convenient, on-demand network access into a pool of configurable network, server, storage, application, service computing, etc. resources that can be quickly provisioned with little administrative effort or interaction with the service provider. The method is a product of the development and fusion of traditional computer and network technologies, such as distributed computing, parallel computing, utility computing, network storage, virtualization, load balancing, hot backup redundancy and the like, and is a new commercial computing model.
The intelligent scheduling is a scheduling method which fully applies knowledge about problem domains and reduces combination explosion as much as possible so that the optimal scheduling or combination problem is effectively solved.
Intelligent scheduling, also known as knowledge-based scheduling, is one of the areas of research in which artificial intelligence and intelligent control are of interest. Many of the real-world combination problems are complex, require a large search space to find the best scheduling scheme from the possible combinations or sequences, and may cause combination explosion problems.
However, when scheduling is performed in the prior art, scheduling errors may occur in the scheduling process due to large information quantity, and scheduling accidents may occur if no alarm is performed in time.
Therefore, it is necessary to provide an intelligent scheduling method for cloud computing data center resources to solve the above technical problems.
Disclosure of Invention
The invention aims to provide an intelligent scheduling method for cloud computing data center resources, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent scheduling method for cloud computing data center resources comprises the following operation steps:
step one, a data acquisition module transmits acquired data to a local area network module, a dispatching center service module analyzes the data, the analyzed data is transmitted to the local area network module, and a signal is transmitted to a dispatching terminal module through the local area network module;
step two, the data in the local area network module is stored in the data storage module at the same time;
step three, in the step one, the dispatching terminal module issues the instruction into the switch module, and the switch module transmits the instruction into the first subunit module, the second subunit module and the third subunit module respectively;
scheduling through the first subunit module, the second subunit module and the third subunit module;
and step five, when the first subunit module, the second subunit module and the third subunit module perform signal transmission, performing signal analysis through the first detection alarm module, the second detection alarm module and the third detection alarm module respectively.
As a further scheme of the present invention, in the first step, the data acquisition module is configured to acquire data.
As a further scheme of the present invention, the local area network module in the first step is used for connecting various computers, external devices, databases, etc. with each other to form a computer communication network.
As a further scheme of the present invention, in the first step, the scheduling terminal module is used for sending and controlling signals.
As a further scheme of the present invention, the local area network module transmits the received signal to the dispatch center service module, and the dispatch center service module sends an instruction to the local area network module.
As a further aspect of the present invention, the local area network module transmits the signal received from the dispatch center service module to the dispatch terminal module, and the local area network module stores the data transmitted to the dispatch terminal module in the data storage module.
As a further scheme of the present invention, the scheduling terminal module includes a scheduling center module, the scheduling center module transmits the signal to the video monitoring module, the video monitoring module converts the received signal into an electrical signal, and transmits the converted electrical signal to the switch module.
As a further aspect of the present invention, the signals of the switch module in step three are transmitted to the first subunit module, the second subunit module and the third subunit module, respectively.
As a further scheme of the present invention, the first subunit module, the second subunit module and the third subunit module receive signals of the switch module for analysis by the first detection alarm module, the second detection alarm module and the third detection alarm module, and the first detection alarm module, the second detection alarm module and the third detection alarm module are used for detection and alarm of scheduling signals.
As a further aspect of the present invention, the data storage module in the second step is used for storing data.
Compared with the prior art, the invention has the following beneficial effects:
in the invention, a first subunit module, a second subunit module and a third subunit module are arranged in a scheduling terminal module, and a first detection alarm module, a second detection alarm module and a third detection alarm module are respectively arranged at the signal transmission stage of the first subunit module, the second subunit module and the third subunit module, so that the first detection alarm module, the second detection alarm module and the third detection alarm module can detect the sent signals during signal scheduling implementation, and if the signals are transmitted in error, alarm reminding can be timely carried out.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a schematic flow chart of a framework of an intelligent scheduling method for cloud computing data center resources according to the present invention;
fig. 2 is a schematic flow chart of a scheduling terminal module framework of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In addition, for the convenience of description, the terms "upper", "lower", "left" and "right" are used to refer to the same direction as the upper, lower, left, right, etc. of the drawings, and the terms "first", "second", etc. are used for descriptive distinction and have no special meaning.
[ example 1 ]
The present embodiment provides an intelligent scheduling method for cloud computing data center resources, as shown in fig. 1-2, the intelligent scheduling method for cloud computing data center resources includes the following operation steps:
step one, a data acquisition module transmits acquired data to a local area network module, a dispatching center service module analyzes the data, the analyzed data is transmitted to the local area network module, and a signal is transmitted to a dispatching terminal module through the local area network module;
step two, the data in the local area network module is stored in the data storage module at the same time;
step three, in the step one, the dispatching terminal module issues the instruction into the switch module, and the switch module transmits the instruction into the first subunit module, the second subunit module and the third subunit module respectively;
scheduling through the first subunit module, the second subunit module and the third subunit module;
and step five, when the first subunit module, the second subunit module and the third subunit module perform signal transmission, performing signal analysis through the first detection alarm module, the second detection alarm module and the third detection alarm module respectively.
[ example 2 ]
In this embodiment, an intelligent scheduling method for cloud computing data center resources is provided, as shown in fig. 1-2, in the first step, a data acquisition module is used to acquire data.
In the first step, the local area network module is used for connecting various computers, external equipment, databases and the like with each other to form a computer communication network.
And in the step one, the scheduling terminal module is used for sending and controlling signals.
The local area network module transmits the received signal to the dispatching center service module, and the dispatching center service module sends an instruction to the local area network module.
The local area network module transmits the signal received from the dispatching center service module to the dispatching terminal module, and simultaneously stores the data transmitted to the dispatching terminal module in the data storage module.
The dispatching terminal module comprises a dispatching center module, the dispatching center module transmits signals to the video monitoring module, the video monitoring module converts the received signals into electric signals, and the converted electric signals are transmitted to the switch module.
The signals of the switch module in the third step are transmitted to the first subunit module, the second subunit module and the third subunit module respectively.
The first subunit module, the second subunit module and the third subunit module receive signals of the switch module and are used for analyzing the first detection alarm module, the second detection alarm module and the third detection alarm module, and the first detection alarm module, the second detection alarm module and the third detection alarm module are used for detecting and alarming scheduling signals.
And in the second step, the data storage module is used for storing the data.
The first detection alarm module, the second detection alarm module and the third detection alarm module can detect the sent signals when signal scheduling is carried out, and if the signals are transmitted in error, alarm reminding can be carried out in time.
The working principle is as follows: the data acquisition module transmits the acquired data to the local area network module, the dispatching center service module analyzes the data and transmits the analyzed data to the local area network module, the signal is transmitted to the dispatching terminal module through the local area network module, the data in the local area network module is stored in the data storage module at the same time, in the first step, the dispatching terminal module carries out command and issues the command to the switch module, the command is respectively transmitted to the first subunit module, the second subunit module and the third subunit module through the switch module, scheduling is performed by the first subunit module, the second subunit module and the third subunit module, and in step four, when the first subunit module, the second subunit module and the third subunit module perform signal transmission, the signal analysis can be respectively carried out through the first detection alarm module, the second detection alarm module and the third detection alarm module.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. An intelligent scheduling method for cloud computing data center resources is characterized by comprising the following steps: the operation steps of the scheduling method are as follows:
step one, a data acquisition module transmits acquired data to a local area network module, a dispatching center service module analyzes the data, the analyzed data is transmitted to the local area network module, and a signal is transmitted to a dispatching terminal module through the local area network module;
step two, the data in the local area network module is stored in the data storage module at the same time;
step three, in the step one, the dispatching terminal module issues the instruction into the switch module, and the switch module transmits the instruction into the first subunit module, the second subunit module and the third subunit module respectively;
scheduling through the first subunit module, the second subunit module and the third subunit module;
and step five, when the first subunit module, the second subunit module and the third subunit module perform signal transmission, performing signal analysis through the first detection alarm module, the second detection alarm module and the third detection alarm module respectively.
2. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: and the data acquisition module in the first step is used for acquiring data.
3. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: the local area network module in the first step is used for connecting various computers, external equipment, databases and the like with each other to form a computer communication network.
4. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: and the scheduling terminal module in the first step is used for sending and controlling signals.
5. The intelligent scheduling method of the cloud computing data center resource according to claim 1, characterized in that: the local area network module transmits the received signals to the dispatching center service module, and the dispatching center service module sends instructions to the local area network module.
6. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: the local area network module transmits the signal received from the dispatching center service module to the dispatching terminal module, and the local area network module simultaneously stores the data transmitted to the dispatching terminal module in the data storage module.
7. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: the dispatching terminal module comprises a dispatching center module, the dispatching center module transmits signals to the video monitoring module, the video monitoring module converts the received signals into electric signals, and the converted electric signals are transmitted to the switch module.
8. The intelligent scheduling method of cloud computing data center resources according to claim 1, characterized in that: and the signals of the switch module in the third step are respectively transmitted to the first subunit module, the second subunit module and the third subunit module.
9. The intelligent scheduling method of cloud computing data center resources according to claim 8, characterized in that: the first subunit module, the second subunit module and the third subunit module receive signals of the switch module and are used for analyzing the first detection alarm module, the second detection alarm module and the third detection alarm module, and the first detection alarm module, the second detection alarm module and the third detection alarm module are used for detecting and alarming dispatching signals.
10. The intelligent scheduling method of the cloud computing data center resource according to claim 1, characterized in that: and the data storage module in the second step is used for storing the data.
CN202210059268.7A 2022-01-19 2022-01-19 Intelligent scheduling method for cloud computing data center resources Pending CN114448773A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110830324A (en) * 2019-10-28 2020-02-21 烽火通信科技股份有限公司 Method and device for detecting network connectivity of data center and electronic equipment
CN211123679U (en) * 2019-11-19 2020-07-28 四川鸿景润科技有限公司 Intelligent operation and maintenance management and control platform system for transformer substation
CN112185085A (en) * 2019-07-01 2021-01-05 安徽森度科技有限公司 GPRS-based intelligent ground wire detection alarm system
CN212413433U (en) * 2020-10-12 2021-01-26 中铁三局集团线桥工程有限公司 Intelligent information transportation supervision system for rail transit
CN113867966A (en) * 2021-10-11 2021-12-31 桂林航天工业学院 Cloud resource scheduling method in hybrid cloud mode

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112185085A (en) * 2019-07-01 2021-01-05 安徽森度科技有限公司 GPRS-based intelligent ground wire detection alarm system
CN110830324A (en) * 2019-10-28 2020-02-21 烽火通信科技股份有限公司 Method and device for detecting network connectivity of data center and electronic equipment
CN211123679U (en) * 2019-11-19 2020-07-28 四川鸿景润科技有限公司 Intelligent operation and maintenance management and control platform system for transformer substation
CN212413433U (en) * 2020-10-12 2021-01-26 中铁三局集团线桥工程有限公司 Intelligent information transportation supervision system for rail transit
JP3234013U (en) * 2020-10-12 2021-09-16 中鉄三局集団線橋工程有限公司 Intelligent computerized transportation regulation system for orbital transportation
CN113867966A (en) * 2021-10-11 2021-12-31 桂林航天工业学院 Cloud resource scheduling method in hybrid cloud mode

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