CN104967661A - Assembly deploying method and device used for application system mixing deployment under cloud environment - Google Patents
Assembly deploying method and device used for application system mixing deployment under cloud environment Download PDFInfo
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- CN104967661A CN104967661A CN201510239909.7A CN201510239909A CN104967661A CN 104967661 A CN104967661 A CN 104967661A CN 201510239909 A CN201510239909 A CN 201510239909A CN 104967661 A CN104967661 A CN 104967661A
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- 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
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- 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
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- 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
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
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Abstract
The invention relates to an assembly deploying method and device used for application system mixing deployment under a cloud environment. The method comprises: according to a preset rule, setting assemblies, deployed in a cloud end, in an application system in a first assembly set, setting assemblies, deployed in a local end, in the application system in a second assembly set, and setting assemblies not belonging to the first assembly set and the second assembly set in a third assembly set; computing a communication flow value between the assemblies in the third assembly set and the assemblies in the first assembly set and a communication flow value between the assemblies in the third assembly set and the assemblies in the second assembly set; selecting an assembly with the largest communication flow value in the third assembly set, and deploying the assembly in the cloud end if the assembly has largest communication flow value with the assemblies in the first assembly set, or deploying the assembly in the local end. The assembly deploying method and device deploy the assemblies in the application system according to the preset rule, and deploy the assemblies, which cannot be deployed according to the preset rule, according to the communication flow value of the assemblies.
Description
Technical field
The invention belongs to the cloud computing application of computer system, specifically, relate to a kind of deployment of components method and apparatus being applied to application system mixed deployment under cloud environment.
Background technology
Cloud computing is a kind of computing capability delivery service pattern emerging in recent years, by network with as required, the mode of easily expansion provides computational resource needed for user or service.After the concept of cloud computing proposes, academia and industrial quarters all expand and study widely, Ge great IT vendor is also proposed oneself cloud computing product successively, such as Microsoft provides Windows Azure cloud operating system for application system migration and deployment, EC2 in the AWS (Amazon Web Services) of Amazon Company provides virtual machine for user's application deployment in the mode of publicly-owned cloud IAAS, and the GAE (Google App Engine) of Google company provides exploitation and running environment with the deployment that the mode of publicly-owned cloud PAAS is application system.
Although there is significant advantages such as promoting resource utilization, dynamic dispatching resource, unified operation management, the ubiquitous deficiency in data security, runnability etc. of publicly-owned cloud platform and user, to the acceptance level in the management under cloud environment, O&M etc., make the application system of complexity be deployed on cloud computing platform and remain a challenge.
First, owing to can not control effectively to the infrastructure of publicly-owned cloud, and lacking strict cloud computing service specification and safety standard at present, large enterprise often not too trusts from the data security in the publicly-owned cloud of the Internet, and data security is most important for enterprise.In this case, enterprise, when using publicly-owned cloud service, tends to sensitive data to continue to be retained in this locality, other application program is moved on publicly-owned cloud, namely takes mixed deployment method.Under mixed deployment pattern, the data center of enterprises continues on for the core business process supporting enterprise, publicly-owned cloud is then generally used for as those not too crucial application programs provide on-demand service ability, and the benefit that publicly-owned cloud can be utilized to pay as required carrys out the computation requirement under the peak ambient of outburst suddenly.
Secondly, in the developing stage of current cloud computing technology, due to the restriction of Intel Virtualization Technology, the performance of the separate unit " cloud main frame " that publicly-owned cloud platform can provide, still can not meet the service requirement of compute-intensive applications and I/O (I/O) intensive applications very well.This is objectively to make the members in complicated applications system that deployment can only be selected to operate in local fully to meet business demand.
Finally, for " this things emerging in recent years of cloud computing, uses again to skilled use to trial from understanding concept, need user to make a lot of adjustment in management, O&M etc., and this is individual process gradually.
Based on above-mentioned factors, mixed deployment is deployed in a kind of effective workaround that is local and publicly-owned cloud as complicated applications system simultaneously, day by day earns widespread respect in research and practice.Because complicated applications system comprises a lot of assembly usually, when concrete enforcement mixed deployment, appropriate design assembly is very urgent in deployment that is local and cloud platform.
Summary of the invention
For the deficiencies in the prior art, the object of embodiment of the present invention is to provide a kind of deployment of components method and apparatus being applied to application system mixed deployment under cloud environment, is intended to solve in prior art lack reasonably by the technological deficiency of deployment of components in the method for local and cloud platform.
For this reason, embodiments provide a kind of deployment of components method being applied to application system mixed deployment under cloud environment, comprising:
Step S10: according to preset rules, the assembly being deployed in high in the clouds in the assembly of described application system is classified as the first assembly collection, is deployed in local assembly and is classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection;
Step S20: the communication streams value calculating assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated;
Step S30: select the assembly that described 3rd assembly concentrates traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise is deployed in this locality.
Preferably, described step S20 comprises: the assembly that described 3rd assembly is concentrated sorts according to direction from big to small by the size according to communication traffic, forms assembly queue; And,
Described step S30 comprises: select to be positioned in described assembly queue the first assembly as the maximum assembly of traffic.
Preferably, after described step S30, also comprise: judge described 3rd assembly concentrates whether also have assembly, if had, then enters step S20.
Preferably, before step S10, also comprise: the resource requirement calculating described application system, described resource requirement comprises the bandwidth resources of described application system, and described bandwidth resources are the requirements of intraware communication and the requirements sum of described application system outline of described application system.
Preferably, described preset rules comprises: the assembly relating to sensitive data is classified as described first component class, and the larger assembly of computation requirement that described application system is carried out under load balancing reply outburst peak value is classified as the second assembly collection.
Be applied to a deployment of components device for application system mixed deployment under cloud environment, comprise:
Classifying module, for the assembly being deployed in high in the clouds in the assembly of described application system being classified as the first assembly collection according to preset rules, being deployed in local assembly and being classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection;
Computing module, for calculating the communication streams value of assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated;
Deployment module, for the assembly selecting described 3rd assembly to concentrate traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise is deployed in this locality.
Preferably, described computing module also comprises: order module, is sorted by the assembly that described 3rd assembly is concentrated, form assembly queue for the size according to communication traffic according to direction from big to small;
Described deployment module also comprises: select module, for selecting to be positioned in described assembly queue the first assembly as the maximum assembly of traffic.
Preferably, also comprise: judge module, for judging described 3rd assembly concentrates whether also have assembly, if had, then calls described computing module.
Preferably, also comprise: resource requirement acquisition module, for calculating the resource requirement of described application system;
Wherein, described resource requirement comprises the bandwidth resources of described application system, and described bandwidth resources are the requirements of intraware communication and the requirements sum of described application system outline of described application system.
Compared with prior art, the deployment of components method and apparatus that the embodiment of the present invention provides is disposed according to preset rules the assembly in application system, to the assembly can not disposed according to preset rules, then disposes according to the traffic of assembly.Like this, both considered the restrictive condition to application system such as data security, systematic function, and can at utmost reduce network communication flow again, and can meet preferably in the concrete demand implementing the mixed deployment of complicated applications system.
Accompanying drawing explanation
Fig. 1 is a kind of Organization Chart being applied to application system in the deployment of components method of application system mixed deployment under cloud environment described in the embodiment of the present invention;
Fig. 2 is a kind of flow chart being applied to the deployment of components method of application system mixed deployment under cloud environment of the embodiment of the present invention;
Fig. 3 is a kind of Organization Chart being applied to application system in the deployment of components method of application system mixed deployment under cloud environment of the embodiment of the present invention;
To be that the embodiment of the present invention is a kind of be applied to the schematic diagram sorted out application system in the deployment of components method of application system mixed deployment under cloud environment to Fig. 4;
To be that the embodiment of the present invention is a kind of be applied in the deployment of components method of application system mixed deployment under cloud environment the schematic diagram that the 3rd class component collection of application system is sorted out Fig. 5 a and Fig. 5 b;
Fig. 6 is a kind of middle structural representation being applied to the deployment of components device of application system mixed deployment under cloud environment of the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention are described further.
A kind of Organization Chart being applied to application system in the deployment of components method of application system mixed deployment under cloud environment described in the embodiment of the present invention see Fig. 1, Fig. 1.As an example, Fig. 1 can be many tenants Course Website group's application system and product height cloud computing platform.Product high cloud (Bingo Cloud) is the high soft ware autonomous research and development of product, domestic first bussiness class architecture cloud product, main Government and corporate client, help its elasticity building Amazon formula, as required, self-service cloud service platform, main frame is similar with Eucaplytus.Many tenants Course Website group application system is that the cloud computing team at author place is based on Jeecms Project Technical, the Course Website group application system with multi-tenant architecture of exploitation, system using a branch of instruction in school as a tenant, the soft and hardware resource of shared system between multiple tenant.This application system is divided into four large assemblies: content management server 30, ftp server 20, web application server 40 and database server 10.
A kind of flow chart being applied to the deployment of components method of application system mixed deployment under cloud environment of the embodiment of the present invention see Fig. 2, Fig. 2.Dispositions method shown in Fig. 2 comprises step S10-S30.In the present embodiment, suppose the virtual resource of the available virtual resource of cloud platform much larger than application system demand, namely cloud platform can meet the resource requirement of each assembly in application system.
In step slo, according to preset rules, the assembly being deployed in high in the clouds in the assembly of described application system is classified as the first assembly collection, is deployed in local assembly and is classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection.Wherein, described preset rules comprises:
Rule 1: the assembly relating to sensitive data is classified as described first component class, and,
Rule 2: the larger assembly of computation requirement that described application system is carried out under load balancing reply outburst peak value is classified as the second assembly collection.
Application system shown in Fig. 1 comprises content management server 30, ftp server 20, web application server 40 and database server 10.For convenience of description, represented by web application server 40 assembly C1 below, database server 10 assembly C2 represents, ftp server 20 assembly C3 represents, content management server 30 assembly C4 represents.
According to rule 1, the assembly C2 in application system is put in local component set, and tentatively setting up the first assembly collection L is:
L＝{C2}；
Be put into the second assembly according to rule 2, handle component C1 to concentrate, tentatively setting up the second assembly collection M is:
M＝{C1}；
Unascertainable assembly is then put into the 3rd assembly and concentrates, then tentatively setting up the 3rd assembly collection S is
S＝{C3，C4}。
Result after initialization component set as shown in Figure 3.
In step S20, calculate the communication streams value of assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated.In some preferred technical schemes, according to direction from big to small, the assembly that described 3rd assembly is concentrated can be sorted according to the size of communication traffic, form assembly queue.
Wherein, communication resources BW is as the one of resource, and communication resources BW is the requirements BW1 of intraware communication and the requirements BW2 sum of described application system outline of described application system, i.e. communication resources BW=BW1+BW2.But, system resource is not limited only to communication resources, also comprise the resource requirement of CPU, MEM (internal memory), HD (hard disk), as Fig. 3 illustrates the component architecture figure of many tenants Course Website application system and the resource requirement value of each assembly.By the aggregate demand of application system to cpu, internal memory, hard disk, bandwidth.Following table 1 illustrates the requirements of application system to system resource:
Table 1 application system is to the requirements of system resource
In step s 30, select the assembly that described 3rd assembly concentrates traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise be deployed in this locality.Wherein, in some embodiments, the first assembly is selected to be positioned in described assembly queue as the maximum assembly of traffic.
The target of step S30 is, by dividing according to the criteria for classifying each assembly in remaining components set, the public network communication traffic between local and publicly-owned cloud being minimized, namely meets following formula:
Wherein c
i∈ L, c
j∈ M and l=4.
In order to realize the minimum target of communication traffic, first, the assembly in the assembly in the 3rd assembly collection S and the first assembly collection L and the second assembly collection M being had to the weights size on the limit of correspondence, sorting from big to small, obtain orderly limit weights set W:
W＝{<C2,C4>,<C1,C4>,<C1,C3>}；
Then, the limit that selection communication traffic is maximum in orderly limit weights set W cuts away, here cut away limit <C2, C4>, namely the communication traffic of the assembly C4 in the 3rd assembly collection S and the assembly C2 in the first assembly collection L is maximum, and assembly C2 is positioned at this locality, then the assembly C4 in the 3rd assembly collection S is put in the first assembly collection L, and handle component C4 deletes from the 3rd assembly collection S.
Like this, the first assembly collection L={C2, C4}, the second assembly collection M={C1}, the 3rd assembly collection S={C3}, result as shown in Figure 5 a.
Then, judge that whether the 3rd assembly collection S is empty, for sky then stops, then not continuing step S20 for sky, until all assembly of application system has all divided.
In new step S20, the assembly again in the described 3rd assembly collection S of calculating and the communication streams value of the assembly in described first assembly collection L and the assembly in the second assembly collection M.
Finally can obtain the first assembly collection L={C2, C4}, the second assembly collection M={C1, C3}, result as shown in Figure 5 b.
A kind of middle structural representation being applied to the deployment of components device of application system mixed deployment under cloud environment of the embodiment of the present invention see Fig. 6, Fig. 6.The deployment of components device being applied to application system mixed deployment under cloud environment shown in Fig. 6, comprising:
Classifying module 610, for the assembly being deployed in high in the clouds in the assembly of described application system being classified as the first assembly collection according to preset rules, being deployed in local assembly and being classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection;
Computing module 620, for calculating the communication streams value of assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated;
Deployment module 630, for the assembly selecting described 3rd assembly to concentrate traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise is deployed in this locality.
Wherein, described computing module 620 also comprises order module 621.The assembly that described 3rd assembly is concentrated sorts according to direction from big to small for the size according to communication traffic by order module 621, forms assembly queue;
Described deployment module 630 also comprises selects module 631, selects module 631 for selecting to be positioned in described assembly queue the first assembly as the maximum assembly of traffic.
In addition, deployment of components device also comprises judge module and resource requirement acquisition module (not shown in Fig. 6).Judge module is for judging described 3rd assembly concentrates whether also have assembly, if had, then calls described computing module.Resource requirement acquisition module is for calculating the resource requirement of described application system.Wherein, described resource requirement comprises the bandwidth resources of described application system, and described bandwidth resources are the requirements of intraware communication and the requirements sum of described application system outline of described application system.
As can be seen from above-mentioned execution mode, the deployment of components method and apparatus that the embodiment of the present invention provides is disposed according to preset rules the assembly in application system, to the assembly can not disposed according to preset rules, then dispose according to the traffic of assembly.Like this, both considered the restrictive condition to application system such as data security, systematic function, and can at utmost reduce network communication flow again, and can meet preferably in the concrete demand implementing the mixed deployment of complicated applications system.
Should be appreciated that, the present invention is not limited to above-mentioned execution mode, every the spirit and scope of the present invention are not departed to various change of the present invention or modification, if these are changed and modification belongs within claim of the present invention and equivalent technologies scope, then the present invention also means that comprising these changes and modification.
Claims (9)
1. be applied to a deployment of components method for application system mixed deployment under cloud environment, it is characterized in that, comprise the following steps:
Step S10: according to preset rules, the assembly being deployed in high in the clouds in the assembly of described application system is classified as the first assembly collection, is deployed in local assembly and is classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection;
Step S20: the communication streams value calculating assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated;
Step S30: select the assembly that described 3rd assembly concentrates traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise is deployed in this locality.
2. be applied to the deployment of components method of application system mixed deployment under cloud environment as claimed in claim 1, it is characterized in that, described step S20 comprises:
The assembly that described 3rd assembly is concentrated sorts according to direction from big to small by the size according to communication traffic, forms assembly queue; And,
Described step S30 comprises:
Select to be positioned in described assembly queue the first assembly as the maximum assembly of traffic.
3. be applied to the deployment of components method of application system mixed deployment under cloud environment as claimed in claim 2, it is characterized in that, after described step S30, also comprise
Judge described 3rd assembly concentrates whether also have assembly, if had, then enters step S20.
4. be applied to the deployment of components method of application system mixed deployment under cloud environment as claimed in claim 3, it is characterized in that, before step S10, also comprise:
Calculate the resource requirement of described application system, described resource requirement comprises the bandwidth resources of described application system, and described bandwidth resources are the requirements of intraware communication and the requirements sum of described application system outline of described application system.
5. be applied to the deployment of components method of application system mixed deployment under cloud environment as claimed in claim 4, it is characterized in that, described preset rules comprises:
The assembly relating to sensitive data is classified as described first component class, and,
The larger assembly of computation requirement that described application system is carried out under load balancing reply outburst peak value is classified as the second assembly collection.
6. be applied to a deployment of components device for application system mixed deployment under cloud environment, it is characterized in that it comprises:
Classifying module, for the assembly being deployed in high in the clouds in the assembly of described application system being classified as the first assembly collection according to preset rules, being deployed in local assembly and being classified as the second assembly collection, the assembly not belonging to described first assembly collection and the second assembly collection is classified as the 3rd assembly collection;
Computing module, for calculating the communication streams value of assembly that described 3rd assembly concentrates and the assembly that described first assembly is concentrated and the assembly that the second assembly is concentrated;
Deployment module, for the assembly selecting described 3rd assembly to concentrate traffic maximum, if the assembly traffic that this assembly and described first assembly are concentrated is maximum, then by this deployment of components beyond the clouds, otherwise is deployed in this locality.
7. be applied to the deployment of components device of application system mixed deployment under cloud environment as claimed in claim 6, it is characterized in that, described computing module also comprises:
Order module, sorts the assembly that described 3rd assembly is concentrated according to direction from big to small for the size according to communication traffic, forms assembly queue;
Described deployment module also comprises:
Select module, for selecting to be positioned in described assembly queue the first assembly as the maximum assembly of traffic.
8. be applied to the deployment of components device of application system mixed deployment under cloud environment as claimed in claim 7, it is characterized in that, also comprise:
Judge module, for judging described 3rd assembly concentrates whether also have assembly, if had, then calls described computing module.
9. be applied to the deployment of components device of application system mixed deployment under cloud environment as claimed in claim 8, it is characterized in that, also comprise:
Resource requirement acquisition module, for calculating the resource requirement of described application system;
Wherein, described resource requirement comprises the bandwidth resources of described application system, and described bandwidth resources are the requirements of intraware communication and the requirements sum of described application system outline of described application system.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109933406A (en) * | 2019-02-11 | 2019-06-25 | 平安科技（深圳）有限公司 | Method and relevant device based on compatibility adjustment Docker deployment of components |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103414767A (en) * | 2013-07-30 | 2013-11-27 | 华南师范大学 | Method and device for deploying application software on cloud computing platform |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103414767A (en) * | 2013-07-30 | 2013-11-27 | 华南师范大学 | Method and device for deploying application software on cloud computing platform |
Non-Patent Citations (1)
| Title |
|---|
| 梁加文等: "云环境中应用系统部署策略研究", 《计算机与现代化》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109933406A (en) * | 2019-02-11 | 2019-06-25 | 平安科技（深圳）有限公司 | Method and relevant device based on compatibility adjustment Docker deployment of components |
| CN109933406B (en) * | 2019-02-11 | 2021-07-16 | 平安科技（深圳）有限公司 | Method for adjusting Docker component deployment based on affinity and related equipment |
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Effective date of registration: 20230621 Address after: Building G1, No. 17, Software Road, Tianhe District, Guangzhou, Guangdong 510660 Patentee after: GUANGZHOU BINGO SOFTWARE CO.,LTD. Address before: 510631 School of computer science, South China Normal University, 55 West Zhongshan Road, Guangzhou, Guangdong Patentee before: SOUTH CHINA NORMAL University |