CN109710269A - A kind of list application discrete type clustered deploy(ment) device and method - Google Patents
A kind of list application discrete type clustered deploy(ment) device and method Download PDFInfo
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Abstract
The invention discloses a kind of list application discrete type clustered deploy(ment) device and method.The device includes tag control, detection calculating, resource allocation, counts this four modules of displaying；Tag control module is used under cloud environment, increases tag attributes other than the information such as basic hardware, resource for each physical resource；Computing module is detected, which is first responsible for detecting all physical machine nodes, and calculates remaining available resource according to different detection results；Source distribution module is used to distribute new dummy node to an application, and when there is new physical node to be added in cloud resource pond, which quickly utilizes the physical resource reasonable distribution dummy node to balance the service condition that entire cloud resource mediocre person manages node；Statistics display module can help to assess virtualization scale growth rate at present for showing the case where recent application distributes dummy node and trend；Show the current operating condition of detection computing module.While being distributed on identical physical node by the calculate node that the present apparatus and method can avoid same class from applying in the case where overall situation virtualization, physical node resource is made full use of.
Description
Technical field
The present invention relates to the transmission control unit and method of the digital information in large-scale cloud environment O&M field, especially one
Kind is single to apply discrete type clustered deploy(ment) device and method.
Background technique
It establishes under the cloud environment of certain scale, automatic deployment and resilient expansion may be implemented in portion of techniques at present.
Such as: Chinese invention ublic specification of application (patent application number: CN201310471865.1) discloses a kind of dialogue-based cloud
Calculate Web application automatic elastic extended method under environment, comprising: a) deployment of Web application system；B) sentenced with resource quantity
It is disconnected；C) increase resource quota quantity；D) obtains instantaneous session connection number；E) comparison of instantaneous session connection number；F) it calculates average
Session connection number；G) comparison of average session connection number；H) judgement of surplus resources；I) increase Web Application Server；J) it applies
The judgement of number of servers；K) Web Application Server is deleted.Web application automatic elastic extended method of the invention, by instantaneous
Session connection number and average session connection number, it is more to session number in the Web application system and certain time interval of high concurrent or
Less Web application system cluster carries out dynamic expansion and reduction operation, realizes dialogue-based Web application system dynamic and adjusts
It is whole, improve the adaptability of Web application system.
But universal some problems existing for current this kind of technology, such as when an application needs while distributing multiple virtual sections
When point, traditional method is to choose physical node directly from physical resource pool to carry out virtualization operations and distribute to application,
This multiple dummy node that will lead to the application is all dispensed on the same physical node, if physical hardware is caused to be asked
Entire cluster is unavailable when topic；In addition when selection physical node has been assigned with more virtual resource, load is also very high
Reusing node distribution dummy node will lead to this physical node and disaster sexual abnormality occurs.Object corresponding to virtual machine nodes
It is uncontrollable to manage node, in the uncontrollable situation such as physical node failure, it is integrally unavailable to will lead to application service.These problems exist
Maintenance work amoun, work complexity is caused to reply while rising, the risk of entire O&M availability decline is got higher.
Summary of the invention
The purpose of the present invention is to provide a kind of list application discrete type clustered deploy(ment) device and method, mainly solve existing side
Method chooses physical node directly from physical resource pool and carries out virtualization operations and distribute to application, this will lead to the more of the application
A dummy node is all dispensed on the same physical node, if leading to physical hardware, entire cluster is unavailable when something goes wrong
The technical issues of, and this is reused when selection physical node has been assigned with more virtual resource, load is also very high
Node distribution dummy node will lead to this physical node and the technical issues of disaster sexual abnormality occurs；It can by the present apparatus and method
While being distributed on identical physical node with the calculate node for avoiding same class from applying in the case where overall situation virtualization, fill
Divide and utilizes physical node resource.
In order to solve the above technical problems, the present invention adopts the following technical scheme:
A kind of list application discrete type clustered deploy(ment) device, it is characterised in that: it includes tag control, detection calculating, resource
Distribution, statistics show this four modules；Wherein:
1) it tag control module: is used under cloud environment, for each physical resource in addition to basic hardware, resource etc.
Increase tag attributes outside information；Wherein: single label mainly includes two information, first be Apply Names, second be section
Dotted state
；
2) detect computing module: the module is first responsible for detecting all physical machine nodes, and according to different
Detection result calculates remaining available resource；
3) resource distribution module: for distributing new dummy node to an application, and working as has new physical node to be added
In cloud resource pond, which quickly utilizes the physical resource reasonable distribution dummy node to balance entire cloud resource mediocre person and manages node
Service condition；
4) it counts display module: for showing the case where recent application distributes dummy node and trend, can help to assess
Virtualization scale growth rate at present；Show the current operating condition of detection computing module.
A kind of list application discrete type clustered deploy(ment) method, it is characterised in that: apply discrete type collection using list as described above
Group's deployment is implemented, it includes the following steps:
A, using tag control module under cloud environment, for each physical resource in addition to basic hardware, resource etc.
Increase tag attributes outside information；Wherein: single label mainly includes two information, first be Apply Names, second be section
Dotted state
；
B, all physical machine nodes are detected using detection computing module, and is calculated according to different detection results
Remaining available resource；
C, new dummy node is distributed to an application using resource distribution module, specifically there are following steps:
C1, first according to detection calculate as a result, statistics at present there are also surplus resources can be used for distribute physical node collection
Close A；
C2, it is counted and is sorted for the quantity using label that physical node in set A includes, and choose label
The physical node of minimum number is as a set B；
C3, selection has distributed resource a least physical node at present in set B, has distributed money if there is more
The identical physical node in source then randomly chooses one.
The list application discrete type clustered deploy(ment) method, it is characterised in that: when there is new physical node that cloud resource is added
Chi Zhong, the resource distribution module quickly can balance entire cloud resource mediocre person using the physical resource reasonable distribution dummy node and manage
The service condition of node, specific steps include:
D1, the quantity that mean virtual node on each physical node is calculated according to detection calculated result；
The most physical node of D2, selection dummy node quantity, and the node of extra average is moved into new physics section
Point in；It repeats the step and reaches average value until increasing the dummy node number on physical node newly.
By above structure, the present invention has the advantage that
After carrying out discrete type deployment to application using apparatus of the present invention and method, application is improved in the case where transporting environment O&M environment
The utilization rate of physical resource can also be improved while availability.And for weight after physical node fault restoration in daily management
The efficiency of the work such as new deployment dummy node has a distinct increment in terms of deployment level, very simply, for physical node and virtually
Node is without invasive.
Detailed description of the invention
Fig. 1 is single module rack composition for applying discrete type clustered deploy(ment) device of the invention.
Fig. 2 is that list of the invention applies resource distribution module-Xin Jia in discrete type clustered deploy(ment) method to apply dummy node stream
Cheng Tu.
Fig. 3 is of the invention single using resource distribution module-Xin Jia physical node flow chart in discrete type clustered deploy(ment) method.
Specific embodiment
Such as Fig. 1, a kind of list application discrete type clustered deploy(ment) device is completely real according to the associated description of technical solution at present
Existing, the first stage has been applied to implement in the related deployment of sweet orange cloud application region.
The present apparatus mainly has tag control, detection calculating, resource allocation, statistics to show this four modules；
1) tag control module:
A) under cloud environment, label category is increased other than the information such as basic hardware, resource for each physical resource
Property
B) single label mainly includes two information, first be Apply Names, second be node state
| Tag ID | Application ID | Node state position |
2) computing module is detected:
A) module is first responsible for detecting all physical machine nodes, and detection is largely divided into following components:
I. according to virtualization type selection detection mode, (present apparatus supports the vcenter controller of vmware, docker
Swarm controller).
Ii. whether the configuring condition and record of detecting objects reason node, detection target have distributed the resource that uses at present
With the consistent of record.
B) remaining available resource is calculated according to different detection results.
3) resource distribution module:
When a) distributing new dummy node to an application, mainly there are following steps, such as Fig. 2:
I. first according to detection calculate as a result, statistics at present there are also surplus resources can be used for distribute physical node set
A。
Ii. it is directed to and the quantity using label that physical node in set A includes is counted and sorted, and choose label
The physical node of minimum number is as a set B
Iii. selection has distributed resource a least physical node at present in set B, has distributed if there is more
The identical physical node of resource then randomly chooses one.
B) when there is new physical node to be added in cloud resource pond, which quickly utilizes the physical resource reasonable distribution virtual
The entire cloud resource mediocre person of node balance manages the service condition of node, such as Fig. 3:
I. the quantity of mean virtual node on each physical node is calculated according to detection calculated result
Ii. the most physical node of selection dummy node quantity, and the node of extra average is moved into new physics section
Point in.It repeats the step and reaches average value until increasing the dummy node number on physical node newly.
4) display module is counted
A) the case where showing recent application distribution dummy node and trend can help to assess current virtualization scale growth
Speed
B) the current operating condition of detection computing module is shown, for example whether there is resource usage record and actual detection knot
The different exception of fruit
The above description of this invention and application be it is illustrative, be not wishing to limit the scope of the invention to above-mentioned implementation
In example；Without departing from the scope and spirit of the present invention, can to embodiments disclosed herein carry out it is other deformation and
Change.
Claims (3)
1. a kind of list application discrete type clustered deploy(ment) device, it is characterised in that: it includes tag control, detection calculates, resource is divided
Match, count this four modules of displaying；Wherein:
1) it tag control module: is used under cloud environment, for each physical resource in addition to information such as basic hardware, resources
Outer increase tag attributes；Wherein: single label mainly includes two information, first be Apply Names, second be node shape
State
；
2) detect computing module: the module is first responsible for detecting all physical machine nodes, and according to different detections
As a result remaining available resource is calculated；
3) it resource distribution module: for distributing new dummy node to an application, and is provided when there is new physical node that cloud is added
In the pond of source, which quickly balances entire cloud resource mediocre person using the physical resource reasonable distribution dummy node and manages making for node
Use situation；
4) it counts display module: for showing the case where recent application distributes dummy node and trend, can help to assess at present
Virtualization scale growth rate；Show the current operating condition of detection computing module.
2. a kind of list application discrete type clustered deploy(ment) method, it is characterised in that: discrete using single application as described in claim 1
Formula clustered deploy(ment) is implemented, it includes the following steps:
A, using tag control module under cloud environment, for each physical resource in addition to information such as basic hardware, resources
Outer increase tag attributes；Wherein: single label mainly includes two information, first be Apply Names, second be node shape
State
；
B, all physical machine nodes are detected using detection computing module, and residue is calculated according to different detection results
Available resources；
C, new dummy node is distributed to an application using resource distribution module, specifically there are following steps:
C1, first according to detection calculate as a result, statistics at present there are also surplus resources can be used for distribute physical node set A；
C2, it is counted and is sorted for the quantity using label that physical node in set A includes, and choose number of labels
Least physical node is as a set B；
C3, selection has distributed resource a least physical node at present in set B, has distributed resource phase if there is more
Same physical node then randomly chooses one.
3. list application discrete type clustered deploy(ment) method according to claim 2, it is characterised in that: when there is new physical node
It is added in cloud resource pond, which quickly can balance entire cloud using the physical resource reasonable distribution dummy node and provide
Source mediocre person manages the service condition of node, and specific steps include:
D1, the quantity that mean virtual node on each physical node is calculated according to detection calculated result；
The most physical node of D2, selection dummy node quantity, and the node of extra average is moved in new physics node；
It repeats the step and reaches average value until increasing the dummy node number on physical node newly.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102110018A (en) * | 2010-12-23 | 2011-06-29 | 山东中创软件工程股份有限公司 | Method and system for treating cloud application |
| CN102567080A (en) * | 2012-01-04 | 2012-07-11 | 北京航空航天大学 | Virtual machine position selection system facing load balance in cloud computation environment |
| AU2012276003A1 (en) * | 2011-06-29 | 2013-12-05 | Microsoft Technology Licensing, Llc | Virtual machine migration tool |
| CN107562531A (en) * | 2016-06-30 | 2018-01-09 | 华为技术有限公司 | A kind of data balancing method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9176773B2 (en) * | 2011-06-29 | 2015-11-03 | Microsoft Technology Licensing, Llc | Virtual machine migration tool |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102110018A (en) * | 2010-12-23 | 2011-06-29 | 山东中创软件工程股份有限公司 | Method and system for treating cloud application |
| AU2012276003A1 (en) * | 2011-06-29 | 2013-12-05 | Microsoft Technology Licensing, Llc | Virtual machine migration tool |
| CN102567080A (en) * | 2012-01-04 | 2012-07-11 | 北京航空航天大学 | Virtual machine position selection system facing load balance in cloud computation environment |
| CN107562531A (en) * | 2016-06-30 | 2018-01-09 | 华为技术有限公司 | A kind of data balancing method and device |
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