CN106598559A - Rapid deployment method and system of cloud platform - Google Patents
Rapid deployment method and system of cloud platform Download PDFInfo
- Publication number
- CN106598559A CN106598559A CN201510678689.8A CN201510678689A CN106598559A CN 106598559 A CN106598559 A CN 106598559A CN 201510678689 A CN201510678689 A CN 201510678689A CN 106598559 A CN106598559 A CN 106598559A
- Authority
- CN
- China
- Prior art keywords
- cloud platform
- deployment
- platform service
- domain
- service arrangement
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
Abstract
The invention discloses a rapid deployment method and system of a cloud platform, and relates to the technical field of cloud calculation. The method comprises the steps of configuring each cloud platform service deployment domain with a working end for cloud platform service deployment after all nodes of the cloud platform are divided into a plurality of cloud platform service deployment domains by a control end for cloud platform service deployment; allocating a cloud platform service deployment task to each working end by the control end after each cloud platform service deployment domain is configured with the working end; and deploying cloud platform service for the nodes in the cloud platform service deployment domain by each working end according to the cloud platform deployment task sent from the control end. The deployment efficiency of the cloud platform is improved by secondary deployment, and the deployment time can be reduced exponentially in cluster deployment on a large scale.
Description
Technical field
The present invention relates to field of cloud computer technology, the quick deployment method and system of more particularly to a kind of cloud platform.
Background technology
Cloud computing quickly grows as the focus of current information technology, and the landing for constantly having commercial project is also demonstrated that
Cloud computing technology reaches its maturity.But the public cloud that either commercial company provides, or the private that enterprise is self-built
There is cloud, its infrastructure (Infrastructure-as-a-service, IAAS) deployment always puzzlement industry
The difficult problem on boundary, have impact on the landing speed of items in commerce, and especially when infrastructure is larger, deployment will more
Plus it is difficult, waste time and energy so that the company for having a mind to attempt new technology hesitates to move forward, and affects to a certain extent
The development of cloud computing.Trace sth. to its source, all because cloud computing technology is excessively complicated, and neither one unification it is easy-to-use
Platform solving deployment issue.
Current dispositions method is as follows:
1st, manual deployment
By manual exectorial mode, in basis instrument (Infrastructure-as-a- is serviced
Service, IAAS) platform each node on installation operation system (Operating System, OS) and
IAAS is serviced.
The method is normally only used for the deployment of experimental situation, and formal production environment is rarely employed.
2nd, automatic deployment
OS the and IAAS automatizations of service that each node is realized by writing some automatic configuration scripts are installed.
In the method, script is performed and is located on a node.When IAAS platforms are larger, single node can become
Bottleneck, deployment time accordingly can be long.
The content of the invention
It is an object of the invention to provide the quick deployment method and system of a kind of cloud platform, can preferably solve cloud
The low problem of Platform deployment efficiency.
According to an aspect of the invention, there is provided a kind of quick deployment method of cloud platform, including:
All node divisions of cloud platform are being taken into multiple cloud platforms for the control end of cloud platform service arrangement
It is each work of cloud platform service arrangement configuration of territory one for carrying out cloud platform service arrangement behind business deployment domain
End;
After for each one working end of cloud platform service arrangement configuration of territory, the control end services cloud platform
Deployment task distributes to each working end;
The cloud platform service arrangement task that each described working end sends according to the control end, is this cloud platform clothes
Node deployment cloud platform service in business deployment domain.
Preferably, described multiple cloud platform service arrangement domains that are divided into include:
The control end divides cloud platform service arrangement domain according to the number of nodes of cloud platform;
The control end after cloud platform service arrangement domain is divided according to the number of nodes of cloud platform, according to each
The load of the working end in cloud platform service arrangement domain, the cloud platform service arrangement domain to having divided carries out increasing and adds deduct
Few adjustment.
Preferably, in the node deployment cloud platform period of service that each described working end is this cloud platform service arrangement domain
Between, the control end divides deployment task dynamic according to the load of the working end in each cloud platform service arrangement domain
The each working end of dispensing.
Preferably, the cloud platform service role is used to the behaviour of the node installation in this cloud platform service arrangement domain
Make the order of system, the working end is the step of the node deployment cloud platform service in this cloud platform service arrangement domain
Suddenly include:
The working end according to for for the order of the node installation operating system in this cloud platform service arrangement domain,
Obtaining the node in this cloud platform service arrangement domain needs operating system version to be mounted, and services for this cloud platform
Respective nodes in deployment domain install acquired operating system version.
Preferably, the cloud platform service role is used to the node deployment in this cloud platform service arrangement domain
The order of IAAS services, the working end is the node deployment cloud platform service in this cloud platform service arrangement domain
The step of include:
The working end is according to the life for servicing for the node deployment IAAS in this cloud platform service arrangement domain
Order, obtaining the node in this cloud platform service arrangement domain needs the IAAS service releases of deployment, and flat for this cloud
Respective nodes in platform service arrangement domain install acquired IAAS service releases.
According to a further aspect in the invention, there is provided a kind of rapid deployment system of cloud platform, including:
Node, for disposing cloud platform service thereon;
Control end, for by all node divisions of cloud platform into after multiple cloud platform service arrangement domains, be every
Individual cloud platform service arrangement configuration of territory one is used for carrying out the working end of cloud platform service arrangement, and for each cloud
After one working end of platform service deployment configuration of territory, cloud platform service arrangement task is distributed to into each work
End;
Working end, is the service of this cloud platform for the cloud platform service arrangement task sent according to the control end
Node deployment cloud platform service in deployment domain.
Preferably, the control end divides cloud platform service arrangement domain according to the number of nodes of cloud platform, and in root
Divide after cloud platform service arrangement domain, according to each cloud platform service arrangement domain according to the number of nodes of cloud platform
The load of working end, the cloud platform service arrangement domain to having divided carries out increasing or decreasing adjustment.
Preferably, the control end is in the node deployment cloud that each described working end is this cloud platform service arrangement domain
During platform service, according to the load of the working end in each cloud platform service arrangement domain, by deployment task dynamic point
The each working end of dispensing.
Preferably, the cloud platform service role is used to the behaviour of the node installation in this cloud platform service arrangement domain
Make the order of system, the working end is according to for operating for the node installation in this cloud platform service arrangement domain
The order of system, obtaining the node in this cloud platform service arrangement domain needs operating system version to be mounted, and for originally
Respective nodes in cloud platform service arrangement domain install acquired operating system version.
Preferably, the cloud platform service role is used to the node deployment in this cloud platform service arrangement domain
IAAS service order, the working end according to for be this cloud platform service arrangement domain in node deployment
The order of IAAS services, obtaining the node in this cloud platform service arrangement domain needs the IAAS service releases of deployment,
And acquired IAAS service releases are installed for the respective nodes in this cloud platform service arrangement domain.
Compared with prior art, the beneficial effects of the present invention is:
The present invention realizes the quick portion of cloud computing platform by carrying out two grades of deployment to cloud computing IAAS platforms
Administration, especially when larger, deployment efficiency can be obviously improved.
Description of the drawings
Fig. 1 is the rapid deployment theory diagram of cloud platform provided in an embodiment of the present invention;
Fig. 2 is small-scale two grades of deployment system Organization Charts provided in an embodiment of the present invention;
Fig. 3 is extensive two grades of deployment system Organization Charts provided in an embodiment of the present invention;
Fig. 4 is deployment system networking diagram provided in an embodiment of the present invention;
Fig. 5 is the rapid deployment flow chart of cloud platform provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with accompanying drawing to a preferred embodiment of the present invention will be described in detail, it will be appreciated that described below
Preferred embodiment be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Fig. 1 is the rapid deployment theory diagram of cloud platform provided in an embodiment of the present invention, as shown in figure 1, described
Step includes:
Step S100:For cloud platform service arrangement control end by all node divisions of cloud platform into many
It is each cloud platform service arrangement configuration of territory one for carrying out cloud platform service behind individual cloud platform service arrangement domain
The working end of deployment.
Control end divides cloud platform service arrangement domain according to the number of nodes of cloud platform, and such as cloud platform has
1000 nodes, it is a cloud platform service arrangement domain that 100 nodes of making an appointment delimited, at this point it is possible to
Divide 10 cloud platform service arrangement domains.
The control end after cloud platform service arrangement domain is divided according to the number of nodes of cloud platform, according to each
The load of the working end in cloud platform service arrangement domain, the cloud platform service arrangement domain to having divided carries out increasing and adds deduct
Few adjustment.For example, when the load of working end increases, can suitably increase cloud platform service arrangement domain, otherwise subtract
Partly cloudy platform service disposes domain.
Step S200:After for each one working end of cloud platform service arrangement configuration of territory, the control end
Cloud platform service arrangement task is distributed to into each working end.
Above-mentioned cloud platform service arrangement domain is the set of node to be disposed, the section in each cloud platform service arrangement domain
The deployment of point is completed by a working end, that is to say, that be responsible for this cloud platform service arrangement domain in each working end
The deployment of all nodes.
Step S300:The cloud platform service arrangement task that each described working end sends according to the control end,
Service for the node deployment cloud platform in this cloud platform service arrangement domain.
It is described in the node deployment cloud platform viability that each described working end is this cloud platform service arrangement domain
Deployment task is dynamically assigned to each work by control end according to the load of the working end in each cloud platform service arrangement domain
Make end.For example, when the CPU usage of certain working end is more than default CPU usage threshold value, the work is illustrated
End heavier loads, now need for the cloud platform service arrangement task to the working end to be allocated to be dynamically assigned to it
The relatively low working end of its CPU usage.
Wherein, the cloud platform service role could be for as the node installation in this cloud platform service arrangement domain
The order of operating system, carries the node and operating system version information of deployment in need, the work in the order
Make end according to the operation system being used in the order for the node installation operating system in this cloud platform service arrangement domain
System version information, the node in this cloud platform service arrangement domain is obtained from version server needs operation system to be mounted
System version, such as install acquired operating system version on linux system, and the node specified in the order
This.
Wherein, the cloud platform service role is used to the node deployment in this cloud platform service arrangement domain
The order of IAAS services, carries the node and IAAS information on services of deployment in need, the work in the order
End is according to the IAAS services being used in the order for the node deployment IAAS services in this cloud platform service arrangement domain
Information, the node in this cloud platform service arrangement domain is obtained from version server needs the IAAS service versions of deployment
This, and acquired IAAS service releases are disposed on the node specified in the order.
In the present invention, cloud platform deployment system is divided into into two-stage, the first order is can to control the portion of whole cluster
The control end (controller) of the deployment server of administration's flow process, the second level is for the concrete deployment operation of execution and fills
When node hardware finds the deployment server working end (workers) of the role of agency, wherein deployment server is
Dedicated for disposing the server of cloud computing Infrastructure platform.First order control end is responsible for the system of deployment strategy
Determine, and the interface of standard can be externally provided, for example, all node divisions of cloud platform are taken into multiple cloud platforms
Business deployment domain, each cloud platform service arrangement configuration of territory has a working end, in the middle of deployment process thereafter,
Control end can be according to the load of the working end in each cloud platform service arrangement domain, the cloud platform service to having divided
Deployment domain carries out increasing or decreasing adjustment, or deployment task is dynamically assigned to into the less working end of load.The
Secondary work end be responsible for dispose concrete execution, the cloud platform service arrangement task for for example being sent according to control end,
Service for the node deployment cloud platform in this cloud platform service arrangement domain, such as installation operation system or IAAS take
Business.
Fig. 2 is small-scale two grades of deployment system Organization Charts provided in an embodiment of the present invention, and Fig. 3 is enforcement of the present invention
Extensive two grades of deployment system Organization Charts that example is provided, as shown in Figures 2 and 3, including multiple nodes, control
End processed and working end.When cluster scale is less, control end and working end can be arranged on as shown in Figure 2 same
On node, and in large-scale cluster deployment, for raising efficiency, control end and working end can be such as Fig. 3
It is shown on different nodes.Wherein, the cluster is the set of the node for needing to be disposed.
The characteristics of deployment domain of the present invention has elastic shrinkage, relates generally to the division in cloud platform service arrangement domain,
Can be multiple cloud platform service arrangement domains by all node divisions of cluster, such as two cloud platforms are divided in Fig. 2
Service arrangement domain, each deployment configuration of territory one maps out the work end, the deployment of all nodes in the responsible deployment domain.
As shown in Figure 2.The number in cloud platform service arrangement domain can be arranged by following two methods:
1) configuration file.
100 nodes of for example making an appointment in configuration file delimited as a cloud platform service arrangement domain.
2) dynamic configuration.
Load dynamic increase and decrease working end of the control end according to deployment scale and each working end.
In actual applications, more the working end of deployment is put on a virtual machine using second method, facilitates work
Make the elastic shrinkage of end number.
The present invention have dynamic adjustment deployment task the characteristics of, control end can according to the scale of whole cloud platform,
Deployment task is dynamically distributed to each working end.If detect during deployment the load of certain working end compared with
Situations such as weight, such as CPU occupancy, EMS memory occupation or network bandwidth occupancy higher (exceeding certain threshold values), can
So that deployment task is migrated to the working end of other light loads.
The present invention by two grades of deployment lifting deployment efficiency, saving deployment time that in theory can be at double, i.e.,:
The original deployment time T/ of actual deployment time t=dispose domain number.When for example, using existing deployment method, 1000
The deployment time of individual node be T, the present invention according to per 100 node divisions, 1 cloud platform service arrangement domain simultaneously
After obtaining 10 cloud platform service arrangement domains, the actual deployment time of the present invention is T/10.
Control end and working end in the present invention is concept in logic, physically may be located at same deployment
On server, it is also possible on different deployment servers.
Embodiment 1
The end that maps out the work is located on physical node, can by specific deployment be divided into operating system deployment and
The deployment of IAAS services, being first according to accompanying drawing 4 carries out networking, disposes detailed process such as Fig. 5 institutes of cloud platform
Show, step includes:
Step (1):Working end finds bare machine, i.e. node by out-band channel.
Node restocking enters after frame, by out-band channel, finds node and power on operation, node are done to node
After upper electricity, its hardware information is reported working end associated with it by node by in-band channel, is completed bare machine and is sent out
Existing process.Wherein, the hardware information includes the information such as CPU, hard disk, the network interface MAC Address of node.
Step (2):The hardware information of the bare machine that working end will be seen that reports control end with tabular form.
Step (3):Control end issues the order of operating system installation to each working end.
Step (4):Working end Configuration network installation operation system environments, node passes through in-band channel installation operation
System.
Step (5):Node feeding back allocating operating system progress gives correspondence working end.
Step (6):Deployment progress is reported control end by working end.
Step (7):After operating system installation, working end passes through out-band channel reset node.
Step (8):Working end reports the message of operating system installation to control end, completes operating system peace
Dress process.
Step (9):Control end issues cloud platform service arrangement order to working end.
Step (10):IAAS services are disposed in working end by in-band channel on corresponding deployment domain node.
Step (11):The deployment progress of deployment domain node feedback IAAS services.
Step (12):Working end reports IAAS service arrangement progresses to control end.
Step (13):The IAAS service arrangement successes of deployment domain node.
Step (14):Control end reports the successful message of deployment domain node IAAS service arrangements to control end.
The IAAS of all nodes of cloud platform is serviced after equal deployment success, completes the deployment of cloud platform.
Embodiment 2
End map out the work on virtual machine, basic implementing procedure is similar with embodiment, simply all of working end
In itself also being located at a cloud platform, flow chart may be referred to Fig. 5, and step includes:
Step (1):Working end finds bare machine, i.e. node by out-band channel.
Node restocking enters after frame, by out-band channel, finds node and power on operation, node are done to node
After upper electricity, its hardware information is reported working end associated with it by node by in-band channel, is completed bare machine and is sent out
Existing process.Wherein, the hardware information includes the information such as CPU, hard disk, the network interface MAC Address of node.
Step (2):The hardware information of the bare machine that working end will be seen that reports control end with tabular form.
Step (3):The order that control end is installed according to certain policy distribution operating system is to each working end.
The strategy can be the strategy for dividing working end, and for example, control end will be found according to configuration file
Node division into multiple cloud platform service arrangement domains, and for the work of each cloud platform service arrangement configuration of territory one
End.
Step (4):Working end Configuration network installation operation system environments, node passes through in-band channel installation operation
System.
Step (5):Node feeding back allocating operating system progress gives correspondence working end.
Step (6):Deployment progress is reported control end by working end.
Step (7):After operating system installation, working end passes through out-band channel reset node.
Step (8):Working end reports the message of operating system installation to control end, completes operating system peace
Dress process.
Step (9):Control end is according to certain policy distribution cloud platform service arrangement order to working end.
The strategy could be for divide working end strategy, for example, control end according to working end load feelings
Condition, elasticity adjusts increasing or decreasing for working end.
The strategy can also be the strategy for adjusting deployment task, and for example, control end is according to the negative of working end
Load situation, treating the node of load weight that deployment task dynamic is adjusted and give other light nodes of load.
Step (10):IAAS services are disposed in working end by in-band channel on corresponding deployment domain node.
Step (11):The deployment progress of deployment domain node feedback IAAS services.
Step (12):Working end reports IAAS service arrangement progresses to control end.
Step (13):The IAAS service arrangement successes of deployment domain node.
Step (14):Control end reports the successful message of deployment domain node IAAS service arrangements to control end.
The IAAS of all nodes of cloud platform is serviced after equal deployment success, completes the deployment of cloud platform.
Compared with the embodiment planned in advance with map out the work end and the deployment domain needs of embodiment 1, embodiment
2 advantage is very easily to be loaded according to deployment, and elastic shrinkage maps out the work and holds or in different portions
Administration migrates deployment task between domain.
In sum, the present invention has following technique effect:
The present invention lifts the deployment efficiency of cloud platform by two grades of deployment, can be in large-scale cluster deployment
Saving deployment time again.
Although being described in detail to the present invention above, the invention is not restricted to this, the art technology
Personnel can carry out various modifications with principle of the invention.Therefore, all modifications made according to the principle of the invention,
All should be understood to fall into protection scope of the present invention.
Claims (10)
1. a kind of quick deployment method of cloud platform, it is characterised in that include:
All node divisions of cloud platform are being taken into multiple cloud platforms for the control end of cloud platform service arrangement
It is each work of cloud platform service arrangement configuration of territory one for carrying out cloud platform service arrangement behind business deployment domain
End;
After for each one working end of cloud platform service arrangement configuration of territory, the control end services cloud platform
Deployment task distributes to each working end;
The cloud platform service arrangement task that each described working end sends according to the control end, is this cloud platform clothes
Node deployment cloud platform service in business deployment domain.
2. method according to claim 1, it is characterised in that described is divided into multiple cloud platforms clothes
Business deployment domain includes:
The control end divides cloud platform service arrangement domain according to the number of nodes of cloud platform;
The control end after cloud platform service arrangement domain is divided according to the number of nodes of cloud platform, according to each
The load of the working end in cloud platform service arrangement domain, the cloud platform service arrangement domain to having divided carries out increasing and adds deduct
Few adjustment.
3. method according to claim 1 and 2, it is characterised in that in each described working end be this
The node deployment cloud platform viability in cloud platform service arrangement domain, the control end is according to each cloud platform service
The load of the working end in deployment domain, by deployment task each working end is dynamically assigned to.
4. method according to claim 1 and 2, it is characterised in that the cloud platform service role is
For for the order of the node installation operating system in this cloud platform service arrangement domain, the working end to be flat for this cloud
The step of node deployment cloud platform in platform service arrangement domain is serviced includes:
The working end according to for for the order of the node installation operating system in this cloud platform service arrangement domain,
Obtaining the node in this cloud platform service arrangement domain needs operating system version to be mounted, and services for this cloud platform
Respective nodes in deployment domain install acquired operating system version.
5. method according to claim 1 and 2, it is characterised in that the cloud platform service role is
For the order serviced for the node deployment IAAS in this cloud platform service arrangement domain, the working end is this cloud
The step of node deployment cloud platform in platform service deployment domain is serviced includes:
The working end is according to the life for servicing for the node deployment IAAS in this cloud platform service arrangement domain
Order, obtaining the node in this cloud platform service arrangement domain needs the IAAS service releases of deployment, and flat for this cloud
Respective nodes in platform service arrangement domain install acquired IAAS service releases.
6. a kind of rapid deployment system of cloud platform, it is characterised in that include:
Node, for disposing cloud platform service thereon;
Control end, for by all node divisions of cloud platform into after multiple cloud platform service arrangement domains, be every
Individual cloud platform service arrangement configuration of territory one is used for carrying out the working end of cloud platform service arrangement, and for each cloud
After one working end of platform service deployment configuration of territory, cloud platform service arrangement task is distributed to into each work
End;
Working end, is the service of this cloud platform for the cloud platform service arrangement task sent according to the control end
Node deployment cloud platform service in deployment domain.
7. system according to claim 6, it is characterised in that section of the control end according to cloud platform
Point quantity divides cloud platform service arrangement domain, and is dividing cloud platform service arrangement according to the number of nodes of cloud platform
After domain, according to the load of the working end in each cloud platform service arrangement domain, to the cloud platform service department for having divided
Administration domain carries out increasing or decreasing adjustment.
8. the system according to claim 6 or 7, it is characterised in that the control end is described in each
Working end is the node deployment cloud platform viability in this cloud platform service arrangement domain, according to each cloud platform service
The load of the working end in deployment domain, by deployment task each working end is dynamically assigned to.
9. the system according to claim 6 or 7, it is characterised in that the cloud platform service role is
For for the order of the node installation operating system in this cloud platform service arrangement domain, the working end is according to being used for
For the order of the node installation operating system in this cloud platform service arrangement domain, this cloud platform service arrangement domain is obtained
In node need operating system version to be mounted, and install for the respective nodes in this cloud platform service arrangement domain
Acquired operating system version.
10. the system according to claim 6 or 7, it is characterised in that the cloud platform service role is
For in this cloud platform service arrangement domain node deployment IAAS service order, the working end according to
The order of the node deployment IAAS services in for this cloud platform service arrangement domain, obtains this cloud platform service department
Node in administration domain needs the IAAS service releases of deployment, and for the corresponding section in this cloud platform service arrangement domain
Point installs acquired IAAS service releases.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510678689.8A CN106598559A (en) | 2015-10-19 | 2015-10-19 | Rapid deployment method and system of cloud platform |
PCT/CN2016/102474 WO2017067449A1 (en) | 2015-10-19 | 2016-10-18 | Deployment method and system for cloud platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510678689.8A CN106598559A (en) | 2015-10-19 | 2015-10-19 | Rapid deployment method and system of cloud platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106598559A true CN106598559A (en) | 2017-04-26 |
Family
ID=58554523
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510678689.8A Pending CN106598559A (en) | 2015-10-19 | 2015-10-19 | Rapid deployment method and system of cloud platform |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN106598559A (en) |
WO (1) | WO2017067449A1 (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107193605A (en) * | 2017-05-26 | 2017-09-22 | 上海斐讯数据通信技术有限公司 | The installation method and system of a kind of operating system |
CN107256163A (en) * | 2017-06-20 | 2017-10-17 | 郑州云海信息技术有限公司 | A kind of method and device for realizing node administration |
CN109660392A (en) * | 2018-12-14 | 2019-04-19 | 武汉烽火信息集成技术有限公司 | Hardware unitizes adaptive management dispositions method and system under a kind of linux system |
CN114125037A (en) * | 2021-10-12 | 2022-03-01 | 能科科技股份有限公司 | Rapid cloud deployment method based on collaboration platform |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111581042B (en) * | 2019-02-15 | 2023-09-12 | 网宿科技股份有限公司 | Cluster deployment method, deployment platform and server to be deployed |
CN111082975B (en) * | 2019-11-30 | 2022-05-27 | 苏州浪潮智能科技有限公司 | Method, system and equipment for increasing domain based on inCloud Manager |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102523117A (en) * | 2011-12-19 | 2012-06-27 | 中山爱科数字科技股份有限公司 | Network management method applied in cloud environment |
CN102833322A (en) * | 2012-08-13 | 2012-12-19 | 盛利 | Highly-scalable distributed intelligent Internet of Things |
US20140047341A1 (en) * | 2012-08-07 | 2014-02-13 | Advanced Micro Devices, Inc. | System and method for configuring cloud computing systems |
CN104468791A (en) * | 2014-12-09 | 2015-03-25 | 广州杰赛科技股份有限公司 | Private cloud IaaS platform construction method |
CN104679608A (en) * | 2015-02-09 | 2015-06-03 | 广州杰赛科技股份有限公司 | Infrastructure visualization platform building method and mirror management structure of infrastructure visualization platform building method |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100366001C (en) * | 2006-01-05 | 2008-01-30 | 西安交通大学 | Method of constructing cluster management and monitoring system in resilient system architecture |
CN201260187Y (en) * | 2008-07-25 | 2009-06-17 | 重庆大学 | Network topology structure for distributed dynamic load balance |
CN104270434A (en) * | 2014-09-22 | 2015-01-07 | 珠海许继芝电网自动化有限公司 | Service state monitoring system based on cloud service |
-
2015
- 2015-10-19 CN CN201510678689.8A patent/CN106598559A/en active Pending
-
2016
- 2016-10-18 WO PCT/CN2016/102474 patent/WO2017067449A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102523117A (en) * | 2011-12-19 | 2012-06-27 | 中山爱科数字科技股份有限公司 | Network management method applied in cloud environment |
US20140047341A1 (en) * | 2012-08-07 | 2014-02-13 | Advanced Micro Devices, Inc. | System and method for configuring cloud computing systems |
CN102833322A (en) * | 2012-08-13 | 2012-12-19 | 盛利 | Highly-scalable distributed intelligent Internet of Things |
CN104468791A (en) * | 2014-12-09 | 2015-03-25 | 广州杰赛科技股份有限公司 | Private cloud IaaS platform construction method |
CN104679608A (en) * | 2015-02-09 | 2015-06-03 | 广州杰赛科技股份有限公司 | Infrastructure visualization platform building method and mirror management structure of infrastructure visualization platform building method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107193605A (en) * | 2017-05-26 | 2017-09-22 | 上海斐讯数据通信技术有限公司 | The installation method and system of a kind of operating system |
CN107256163A (en) * | 2017-06-20 | 2017-10-17 | 郑州云海信息技术有限公司 | A kind of method and device for realizing node administration |
CN109660392A (en) * | 2018-12-14 | 2019-04-19 | 武汉烽火信息集成技术有限公司 | Hardware unitizes adaptive management dispositions method and system under a kind of linux system |
CN114125037A (en) * | 2021-10-12 | 2022-03-01 | 能科科技股份有限公司 | Rapid cloud deployment method based on collaboration platform |
Also Published As
Publication number | Publication date |
---|---|
WO2017067449A1 (en) | 2017-04-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106598559A (en) | Rapid deployment method and system of cloud platform | |
CN102724277B (en) | The method of live migration of virtual machine and deployment, server and group system | |
US20180198855A1 (en) | Method and apparatus for scheduling calculation tasks among clusters | |
CN107580023A (en) | A kind of the stream process job scheduling method and system of dynamic adjustment task distribution | |
EP2975515A1 (en) | System and method for managing excessive distribution of memory | |
CN112241822B (en) | Method and system for distributing micro-service-oriented power resources of data center | |
CN104317650A (en) | Map/Reduce type mass data processing platform-orientated job scheduling method | |
CN106656867A (en) | Dynamic SDN (Software Defined Network) configuration method based on application awareness of virtual network | |
CN104503838A (en) | Method for scheduling virtual CPU (Central Processing Unit) | |
CN110058966A (en) | Method, equipment and computer program product for data backup | |
CN104468407A (en) | Method and device for performing service platform resource elastic allocation | |
CN104239150B (en) | A kind of method and device of hardware resource adjustment | |
CN104639594A (en) | System and method for allocating physical resources and virtual resources | |
CN103856548B (en) | Dynamic resource scheduling method and dynamic resource scheduling device | |
CN109257399A (en) | Cloud platform application management method and management platform, storage medium | |
CN104008018B (en) | The online moving method of virtual machine under cloud computing environment | |
CN106681839A (en) | Elasticity calculation dynamic allocation method | |
CN104158826A (en) | Scheduling method for virtual machine migration and system | |
CN104915885A (en) | Processing method and device for credit business | |
CN102981893A (en) | Method and system for dispatching virtual machine | |
JP2018028746A (en) | Virtual machine management program, virtual machine management method, and virtual machine management device | |
CN102594881A (en) | Virtual machine load balancing method, management modules and virtual machine cluster system | |
CN107070645A (en) | Compare the method and system of the data of tables of data | |
CN112099917B (en) | Regulation and control system containerized application operation management method, system, equipment and medium | |
CN107203256B (en) | Energy-saving distribution method and device under network function virtualization scene |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |