CN105933154A - Management method of cloud calculation resources - Google Patents
Management method of cloud calculation resources Download PDFInfo
- Publication number
- CN105933154A CN105933154A CN201610287547.3A CN201610287547A CN105933154A CN 105933154 A CN105933154 A CN 105933154A CN 201610287547 A CN201610287547 A CN 201610287547A CN 105933154 A CN105933154 A CN 105933154A
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- cloud computing
- machine
- service
- cluster
- configuration file
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0806—Configuration setting for initial configuration or provisioning, e.g. plug-and-play
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
Abstract
The invention belongs to the technical field of cloud calculation resource management, and especially relates to a m management method of cloud calculation resources. The method comprises the following steps: first of all, arranging the quantity of machines in a cloud calculation cluster, respectively arranging the quantities of service nodes and calculation nodes, and creating a configuration file needs to be installed for the cloud calculation cluster; installing an operating system of the machines in the cloud calculation cluster by use of the configuration file, letting the machines read configuration in the configuration file, after the machines automatically form the cloud calculation cluster through networking, selecting one cloud calculation cluster for installing a cloud calculation management platform, and a user packaging his own algorithm into a local mirror image and uploading the local mirror image to a mirror image database of the cloud calculation cluster; and constructing a task out of a configuration program programmed in the cloud calculation management platform and the local mirror image, and creating service on the task. According to the invention, a convenient, fast and telescopic operation and debugging environment is provided for application of a developer, the learning cost of the developer is decreased, the utilization rate of the resources is improved, and user experience is improved.
Description
Technical field
The invention belongs to cloud computing resources management technique field, particularly to the management of a kind of cloud computing resources
Method.
Background technology
Along with the arrival in digital intellectualization epoch, increasing data are currently had to need by a large amount of and multiple
Miscellaneous calculating just can draw the conclusion of some directiveness, and the performance of computer is often had by these calculating
High requirement, when individual or groupuscule have a good computational algorithm to some specific problem, but by
In lacking convenient and swift and telescopic operation and debugging enironment, thus cause cannot be by the algorithm of oneself
It is implemented in production environment, causes the waste in a kind of resource, so, cloud computing concept is arisen at the historic moment.
Required calculating resource and storage resource are all provided by cloud computing in service end, and developer has only to oneself
The algorithm routine of research and development is packaged into mirror image, is uploaded to mirror site, then starts service operation and carries in service end
In the container of confession, and the input of assignment algorithm program in container, i.e. it can be seen that operation result after output.
Developer need not have how many computers, it is not necessary to has how many hard drive spaces, it is not required that is concerned about journey
Sequence employs how many processor resources, embodies because these calculation of performance indicators are all within high in the clouds.
Cloud computing resources way to manage of the prior art generally only has the interface of order line, and user learning becomes
This is higher, is difficult to grasp, and the utilization ratio of resource is relatively low, and Consumer's Experience effect is bad, therefore passes
The cloud computing resources way to manage of the only command line interface of system needs improvement badly.
Summary of the invention
The present invention is in order to overcome above-mentioned the deficiencies in the prior art, it is provided that the manager of a kind of cloud computing resources
Method, the invention provides convenient and swift and telescopic operation and debugging enironment for developer, no
Reduced by only the learning cost of developer, and improve the utilization ratio of resource, add the body of user
Test.
For achieving the above object, present invention employs techniques below measure:
The management method of a kind of cloud computing resources, comprises the following steps:
S1, the quantity of machine in cloud computing cluster is set, and is respectively provided with service node on described machine
With the quantity of calculating node, create described cloud computing cluster and need configuration file to be mounted;
S2, use described configuration file that the operating system of machine in cloud computing cluster is installed, and allow machine read
Taking the configuration in configuration file, starting up's machine makes configuration take-effective, it is judged that whether automatic network-building becomes machine
Cloud computing cluster;
If S3 machine success networking becomes cloud computing cluster, after the success of the most described cloud computing cluster building, choosing
Take a cloud computing cluster and cloud computing management platform is installed, otherwise, continue to create configuration file;
S4, user are packaged into local mirror image the algorithm of oneself, and described local mirror image are uploaded to cloud meter
Calculate the mirror site of cluster;
S5, in described cloud computing management platform, write configurator, described configurator and local mirror image
It is configured to a task;
S6, establishment service in described task.
Preferably, if the machine in step S2 has been configured with the configuration identical with configuration file, then institute
State machine and automatically include same cloud computing cluster in.
Preferably, described configuration file at least includes the network address of machine and the network ground of service node
Location.
Preferably, the quantity arranging described service node is even number.
Preferably, after step S3 completes, in cloud computing management platform, check the quantity of machine, machine
Information, task list, service list, mirror site version, user cipher and authority and Operation Log.
Further, when task creates service, can once create a service or multiple service.
The beneficial effects of the present invention is:
1), the present invention by allowing machine read specific configuration file, and automatic network-building becomes cloud computing collection
Group, the algorithm of oneself is packaged into local mirror image and is uploaded to the mirror site of cloud computing cluster by user, at cloud meter
Calculate in management platform and write configurator, allow configurator be configured to a task with local mirror image, and
Described task creates service.Relative to the cloud computing management method of only command line interface, the present invention
Provide convenient and swift and telescopic operation and debugging enironment for developer, not only reduce out
The learning cost of originator, and improve the utilization ratio of resource, enhance the experience of user.
2), quantity that service node is set be even number, thereby ensure that cloud computing cluster is properly functioning
And serious forgiveness;User can once create a service or multiple service, and service can be according to cloud computing cluster
Current performance and resource utilization are separately operable on different machines, drastically increase native system
Resource utilization and operational efficiency.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention;
Fig. 2 is the system architecture diagram of the present invention;
Fig. 3 is the data flow diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out
Clearly and completely describe, it is clear that described embodiment is only a part of embodiment of the present invention, and
It is not all, of embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under creative work premise, broadly fall into the scope of protection of the invention.
As it is shown in figure 1, the management method of a kind of cloud computing resources includes first arranging machine in cloud computing cluster
The quantity of device, and on described machine, be respectively provided with service node and calculate the quantity of node, create described
Cloud computing cluster needs configuration file to be mounted;Use described configuration file that machine in cloud computing cluster is installed
Operating system, and allow machine read the configuration in configuration file, starting up's machine makes configuration take-effective,
Judge whether automatic network-building becomes cloud computing cluster to machine;If machine success networking becomes cloud computing cluster, then institute
After stating the success of cloud computing cluster building, choose cloud computing cluster and cloud computing management platform is installed, otherwise,
Continue to create configuration file;After the success of cloud computing cluster building, can check in cloud computing management platform
The quantity of machine, machine information, task list, service list, mirror site version, user cipher and power
Limit and Operation Log;User is packaged into local mirror image the algorithm of oneself, and by described local mirror image
It is uploaded to the mirror site of cloud computing cluster;Configurator, described configuration is write in cloud computing management platform
Program is configured to a task with local mirror image;User needs to create service in described task, described
The management behaviour such as after service-creation completes, described service, configurator can be deleted by user, editor
Make, meanwhile, the running status of service also can real-time update to for reference on the page.
Environmental variable that further, described configurator uses when being mainly used in specifying described service operation,
Use the address that time zone, data base connect.
And, the quantity arranging described service node is even number, thereby ensure that cloud computing cluster is normal
Run and serious forgiveness.
Described configuration file includes the network address of machine and the network address of service node, if machine is
Be configured with the configuration identical with configuration file, then machine can include same cloud computing cluster automatically in.
Described cloud computing management platform is also being generated by mirror image of a task, and described task is through instantiation
The service generated is managed by cloud computing management platform.
The scale of the quantitative response of described machine cloud computing management platform, described task list, service row
Table, mirror site version all reflect the running status of cloud computing management platform, user cipher and authority, behaviour
Make daily record all reflect the security mechanism of cloud computing management platform and use record.
When user creates service in described task, can once create a service or multiple service, clothes
The performance current according to cloud computing cluster is understood in business and resource utilization is separately operable on different machines,
Drastically increase resource utilization and the operational efficiency of native system.
Further, the described task in the present invention is the description of a kind of function, and the most described task is data
Extraction task, is from some lane database extracted data to another data base, and the most newly-built appoints
Business is a kind of static resource, needs to create the relevant real data that realize that service in described task and takes out
Take function.
Further, owing to described task is static description, the described service in the present invention is described appointing
The example of business, utilizing described service is one to realize real data pick-up function, described task and service
The relation that individual correspondence is multiple, be a described task can corresponding multiple described services, the most described number
Two services generated according to extraction task, first service can be from A data base's extracted data to B data
Storehouse, second service can be from B data storehouse extracted data to B data storehouse.
As in figure 2 it is shown, describe one in detail from presentation layer, operation layer, service layer, accumulation layer respectively
The framework of management cloud computing resources, described presentation layer is used for describing the technological frame of the layering that front end uses,
Front end supports that the terminal shown includes mobile phone and computer, and the signal input part of described presentation layer connects operation layer
Signal output part;Described operation layer is used for describing the major function of the system of management cloud computing resources,
The function of described operation layer includes Host Administration, task management, mirror image management, Service Management, Yong Huguan
Reasons etc., between described operation layer and service layer, two-way communication is connected, and the signal input part of operation layer is also connected with
The data of timing acquiring;Described service layer is for describing the skill of the system of this set management cloud computing resources of exploitation
Art framework and acquisition Host Status, the interface of operation task state on main frame, described service layer and accumulation layer
Between two-way communication connect;Described accumulation layer is for describing the performance and technically of cloud computing cluster
Storage scheme, during wherein performance data is stored in common data base, and what task and service operation needed
The configuration informations such as environmental variable are stored in its machine disk run.
As it is shown on figure 3, the status data of service operation is by a series of interface, such as the REST of Fleet
Interface, the REST interface of Etcd, Host Status interface etc., data are managed the system of cloud computing resources
Framework and timing capture data, services and obtain, obtain data to be passed through after data and process, data are final
It is stored in data base storage.
In sum, the present invention can be applied not only to enterprises, it is also possible to applies at internet product
In, user only need to be according to industry standard, and user is packaged into local mirror image the algorithm of oneself, and by described
Local mirror image is uploaded to the mirror site of cloud computing cluster, it is possible to the high in the clouds realizing calculating resource is shared, pole
The earth improves the flexibility ratio of resource utilization and the utilization of resources.Present invention accomplishes management cloud meter simultaneously
Calculate the demand of resource, and by calling of the interface of cloud computing cluster can be obtained in cloud computing cluster
Task and the real-time status of corresponding with service, add the experience of user.
Claims (6)
1. the management method of a cloud computing resources, it is characterised in that comprise the following steps:
S1, the quantity of machine in cloud computing cluster is set, and is respectively provided with service node on described machine
With the quantity of calculating node, create described cloud computing cluster and need configuration file to be mounted;
S2, use described configuration file that the operating system of machine in cloud computing cluster is installed, and allow machine read
Taking the configuration in configuration file, starting up's machine makes configuration take-effective, it is judged that whether automatic network-building becomes machine
Cloud computing cluster;
If S3 machine success networking becomes cloud computing cluster, after the success of the most described cloud computing cluster building, choosing
Take a cloud computing cluster and cloud computing management platform is installed, otherwise, continue to create configuration file;
S4, user are packaged into local mirror image the algorithm of oneself, and described local mirror image are uploaded to cloud meter
Calculate the mirror site of cluster;
S5, in described cloud computing management platform, write configurator, described configurator and local mirror image
It is configured to a task;
S6, establishment service in described task.
The management method of a kind of cloud computing resources the most as claimed in claim 1, it is characterised in that: if
Machine in step S2 has been configured with the configuration identical with configuration file, and the most described machine is included in automatically
Same cloud computing cluster.
The management method of a kind of cloud computing resources the most as claimed in claim 1 or 2, it is characterised in that:
Described configuration file at least includes the network address of machine and the network address of service node.
The management method of a kind of cloud computing resources the most as claimed in claim 1, it is characterised in that: set
The quantity putting described service node is even number.
The management method of a kind of cloud computing resources the most as claimed in claim 1, it is characterised in that: step
After rapid S3 completes, check in cloud computing management platform the quantity of machine, machine information, task list,
Service list, mirror site version, user cipher and authority and Operation Log.
The management method of a kind of cloud computing resources the most as claimed in claim 1, it is characterised in that:
When creating service in task, can once create a service or multiple service.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107634841A (en) * | 2017-09-27 | 2018-01-26 | 国云科技股份有限公司 | A kind of method of flexible management cloud computing cluster |
CN108768697A (en) * | 2018-04-28 | 2018-11-06 | 安徽四创电子股份有限公司 | A kind of fast assembling method of privately owned cloud system |
CN108881374A (en) * | 2018-04-28 | 2018-11-23 | 安徽四创电子股份有限公司 | The design method that a kind of cloud computing resources framework front end is shown |
WO2019214128A1 (en) * | 2018-05-08 | 2019-11-14 | 济南浪潮高新科技投资发展有限公司 | Dynamic reconfigurable intelligent computing cluster and configuration method therefor |
CN111078502A (en) * | 2019-12-16 | 2020-04-28 | 武汉武钢绿色城市技术发展有限公司 | Method for autonomously creating, monitoring and managing database cluster cloud host |
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CN104579761A (en) * | 2014-12-24 | 2015-04-29 | 西安工程大学 | Automatic nosql cluster configuration system and method based on cloud computing |
CN105335215A (en) * | 2015-12-05 | 2016-02-17 | 中国科学院苏州生物医学工程技术研究所 | Monte-Carlo simulation accelerating method and system based on cloud computing |
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Patent Citations (3)
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CN104065716A (en) * | 2014-06-18 | 2014-09-24 | 江苏物联网研究发展中心 | OpenStack based Hadoop service providing method |
CN104579761A (en) * | 2014-12-24 | 2015-04-29 | 西安工程大学 | Automatic nosql cluster configuration system and method based on cloud computing |
CN105335215A (en) * | 2015-12-05 | 2016-02-17 | 中国科学院苏州生物医学工程技术研究所 | Monte-Carlo simulation accelerating method and system based on cloud computing |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107634841A (en) * | 2017-09-27 | 2018-01-26 | 国云科技股份有限公司 | A kind of method of flexible management cloud computing cluster |
CN108768697A (en) * | 2018-04-28 | 2018-11-06 | 安徽四创电子股份有限公司 | A kind of fast assembling method of privately owned cloud system |
CN108881374A (en) * | 2018-04-28 | 2018-11-23 | 安徽四创电子股份有限公司 | The design method that a kind of cloud computing resources framework front end is shown |
CN108881374B (en) * | 2018-04-28 | 2021-07-27 | 安徽四创电子股份有限公司 | Design method for front-end display of cloud computing resource architecture |
WO2019214128A1 (en) * | 2018-05-08 | 2019-11-14 | 济南浪潮高新科技投资发展有限公司 | Dynamic reconfigurable intelligent computing cluster and configuration method therefor |
CN111078502A (en) * | 2019-12-16 | 2020-04-28 | 武汉武钢绿色城市技术发展有限公司 | Method for autonomously creating, monitoring and managing database cluster cloud host |
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