CN103109515A - Business deploy method and device - Google Patents
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Abstract
The invention discloses a business deploy method and a device relating to the information technology field. According to the invention, the business deploy speed can be improved, and the business deploy time can be reduced. The technical scheme provided in the invention is characterized in that according to the selected application and the selected above mentioned configuration of the user, the base architecture required by the operation and the configuration of the application, and then the parameter configuration script and the compiling script can be generated; according to the application image determined by the application, the applied image can be configured on the server node in the base architecture; the application can be started, the compiling script operated on the server node, and the parameter script can be applied. The technical scheme provided in the invention is suitable for the business deploy under the FBCI configuration.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a method and an apparatus for service deployment.
Background
Currently, business deployment on a server can be done in a traditional way: firstly, installing and debugging purchased hardware equipment such as a server, storage equipment, network equipment and the like, and then connecting the server with infrastructure equipment such as the storage equipment, the network equipment and the like; installing an Operating System (OS) and dividing a storage space; installing related databases and implementing early-stage data; installing middleware and deploying service application; in order to ensure high operation performance and high reliability of the service, the service application can be optimized. However, the hierarchical implementation in this way requires different Independent Software developers (ISVs) to provide services or a person skilled in each component to install, and thus, the time required for service deployment is long.
In a cloud computing environment, a Matrix automatic deployment system is proposed to perform service deployment: an infrastructure is deployed by adopting a preboot execution environment (PXE) automatic installation technology, and the infrastructure is to install an operating system, that is, an infrastructure including a server, a storage device, a network device and the like, and the operating system on the basis of connecting the server with the storage device and the network device. And then, deploying the service by adopting the virtual machine, namely selecting an application template according to the service characteristics, importing the application template, starting the application to complete service deployment, but still cannot shorten the installation process of the operating system and the software installation process, so that the time required by service deployment is still long.
However, when the prior art is adopted to perform service deployment, the service deployment speed is slow, and the required time is long.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for service deployment, which can improve the speed of service deployment and reduce the time required for service deployment.
In a first aspect, an embodiment of the present invention provides a method for service deployment, including:
configuring a basic framework required by running the application according to the application selected by a user and the configuration of the selected application, and generating a parameter configuration script and a compiling script;
determining an application image according to the application, and configuring the application image to a server node in the infrastructure;
and starting the application, running the compiling script on the server node, and applying the parameter configuration script.
In a first possible implementation manner of the first aspect, the configuring of the infrastructure required to run the application includes evaluating an infrastructure performance value required to run the application according to Σ α · β ≈ a, b, c, d, …, and determining the required infrastructure; wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; a, b, c, d represent a set of infrastructure performance values, respectively, { a, b, c, d, … } represents a set of infrastructure performance values.
With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner, after the generating a parameter configuration script and a compiling script, the method further includes: and issuing the parameter configuration script and the compiling script to the basic framework, and storing the parameter configuration script and the compiling script in an external storage in the basic framework.
With reference to the first aspect or the first or second possible implementation manner of the first aspect, in a third possible implementation manner, determining an application image according to the application, and configuring the application image to a server node in the infrastructure includes:
according to the application, determining the application mirror image in a Hard Disk Drive (HDD) library managed by a management node of a structure-based infrastructure and a computer FBCI (fiber Bragg Grating) framework, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or,
and according to the application, determining the application mirror image in a template library managed by a management node of the FBCI framework, and configuring the application mirror image to a server node in the infrastructure in a hard disk copy mode.
In a second aspect, an embodiment of the present invention provides an apparatus for service deployment, including:
the management node is used for configuring a basic framework required by running the application according to the application selected by the user and the configuration of the selected application, and generating a parameter configuration script and a compiling script; determining an application image according to the application, and configuring the application image to a server node in the infrastructure;
the management node is further configured to start the application;
and the server node is used for running the compiling script and applying the parameter configuration script.
In a first possible implementation manner of the second aspect, the management node further includes: the evaluation unit is used for evaluating the performance value of the basic framework required by running the application according to sigma alpha beta ≈ a, b, c, d, … and determining the required basic framework; wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; a, b, c, d represent a set of infrastructure performance values, respectively, { a, b, c, d, … } represents a set of infrastructure performance values.
With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner, the management node further includes:
and the issuing unit is used for issuing the parameter configuration script and the compiling script to the basic framework and storing the parameter configuration script and the compiling script in an external memory of the basic framework.
With reference to the second aspect or the first or second possible implementation manner of the second aspect, in a third possible implementation manner, the management node is configured to: according to the application, determining an application mirror image in a Hard Disk Drive (HDD) library managed by a structure-based infrastructure and a management node of a computer FBCI (fiber Bragg Grating) architecture, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or, the application mirror image is determined in a template library managed by a management node of the FBCI framework according to the application, and the application mirror image is configured to the server node in the infrastructure in a hard disk copy manner.
The embodiment of the invention provides a method and a device for service deployment, which configure a basic framework required by running an application according to the application selected by a user and the configuration of the selected application, and generate a parameter configuration script and a compiling script; determining an application image according to the application, and configuring the application image to a server node in the infrastructure; and starting the application, running the compiling script on the server node, and applying the parameter configuration script. Compared with the prior art that the service deployment is carried out at a low speed and for a long time, the scheme provided by the embodiment of the invention can automatically configure the infrastructure according to the application selected by the user, generate the parameter configuration script and the compiling script, improve the service deployment speed and reduce the time required by the service deployment.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for service deployment according to embodiment 1 of the present invention;
fig. 2 is a block diagram of a service deployment apparatus according to embodiment 1 of the present invention;
fig. 3 is a flowchart of a method for service deployment according to embodiment 2 of the present invention;
fig. 4 is a schematic diagram of an FBCI architecture according to embodiment 2 of the present invention;
fig. 5 is a block diagram of a service deployment apparatus according to embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Embodiments of the present invention provide a method for service deployment, where the method provided in the embodiments of the present invention may be implemented under a Fabric-based infrastructure and computer (FBCI) architecture, and the FBCI architecture is generally formed by assembling independent modules and is connected to each other through a conversion backplane. As shown in fig. 1, the method comprises the steps of:
the infrastructure refers to installing an operating system on the basis of connecting a server with a storage device and a network device.
Optionally, according to the application selected by the user and the configuration of the selected application, the hardware configuration information is obtained after the configuration of the configuration engine. Here, a business system refers to an IT system for satisfying business needs of an enterprise or organization, and generally includes database middleware and an application, the database middleware refers to third-party software or services for accessing a database, and the middleware is a separate system software or service program, and can connect two separate applications or separate systems for information transfer between the two separate applications or separate systems. An Application (APP) refers to a technology, system, software, or product that provides services for an enterprise or organizational business.
It should be noted that different applications have different configurations, and the configurations herein refer to hardware configurations and software configurations. For example, the service is selected as a database server, and the application refers to specific software supporting the service, for example, the application may be different types of software such as Oracle, Mysql, and the like. And then selecting related configuration of the database Server, wherein the related configuration can be service scene, user number, specific product, Service Level Agreement (SLA) and other Internet Protocol (IP) Domain Name Server (DNS) related performance parameters and the like. And storing the selected related configuration in a Solid State Disk (SSD) configured for the application so as to accelerate the speed of service deployment. The SSD adopts a technology of storing and reading data by an electronic storage medium, breaks through the performance bottleneck of the traditional mechanical hard disk, has extremely high storage performance, and has higher processing speed and higher efficiency than the traditional hard disk.
The service deployment in this embodiment is to deploy the service system on a new server, so that the service system can be applied to the new server.
Further, the configuring the infrastructure required for running the application includes:
evaluating infrastructure performance values required to run the application according to Σ α · β ≈ a, b, c, d, …, and determining the required infrastructure. Namely, the configuration model of the performance value closest to the service system requirement is obtained by comparing the performance value required by the service system with the corresponding performance value set of the infrastructure running the application.
Wherein Σ α represents a performance value required by the application; for example, a real-time accounting system requires 300W of an online Transaction Processing benchmark (TPCC). The TPCC is one of the parameters for evaluating performance under the FBCI architecture, and can be the performance of the overall system constructed by the server and the client.
Beta represents a redundancy coefficient, for example, beta may be 1.3, and Σ α β requires a performance value of 390w for the TPCC.
a, b, c, d respectively represent a set of infrastructure performance values, { a, b, c, d, … } represents a set of infrastructure performance values, which can be taken to be the closest rail to the requirement, i.e., the rail closest to 390 w.
For example, a is a configuration of 150w TPCC, CPU: 4 10 core CPUs, which can be as strong as Xeon E7500; memory: 16G; external storage: the SSD 10T stores space. d is the configuration of 400W TPCC, 8 CPUs with 10 cores can be set to be Xeon E7500; memory: 512G; external storage: the SSD 10T stores space.
According to the evaluated rules: the upper rail closest to the requirement is taken. Therefore, a performance value of 400W can be taken here. And then, the service starts to allocate hardware resources such as a CPU, a memory, an external storage and the like to construct according to the configuration model of 400 w.
Further, after the generating the parameter configuration script and the compiling script, the method further includes:
and issuing the parameter configuration script and the compiling script to the basic framework, and storing the parameter configuration script and the compiling script in an external storage in the basic framework.
optionally, according to the application, determining the application mirror image in a Hard Disk Drive (HDD) library managed by a management node of the FBCI architecture, and configuring the application mirror image to a server node in the infrastructure in an HDD snapshot manner; or,
and according to the application, determining the application mirror image in a template library managed by a management node of the FBCI framework, and configuring the application mirror image to a server node in the infrastructure in a hard disk copy mode.
The embodiment of the invention provides a method for deploying services, which can improve the speed of deploying the services and reduce the time required by deploying the services by automatically configuring a basic framework according to an application selected by a user and generating a parameter configuration script and a compiling script.
Embodiments of the present invention provide a service deployment apparatus, which may be an FBCI, where an FBCI architecture is assembled from independent modules and connected to each other through a structure or a conversion backplane. As shown in fig. 2, the apparatus includes: management node 201, server node 202;
the management node 201 is configured to configure a basic architecture required for running the application according to the application selected by the user and the relevant configuration of the selected application, and generate a parameter configuration script and a compiling script; determining an application image according to the application, and configuring the application image to a server node 202 in the infrastructure;
further, the management node 201 includes: the evaluation unit is used for evaluating the property value of the basic framework required by running the application according to sigma alpha beta ≈ a, b, c, d, … and determining the required basic framework; wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; a, b, c, d respectively represent a set of infrastructure performance values, { a, b, c, d, … } represents a set of infrastructure performance values that can be derived from a configuration library derived from the integration of relevant knowledge and data according to a business model.
The management node 201 further includes: and the issuing unit is used for issuing the parameter configuration script and the compiling script to the basic framework and storing the parameter configuration script and the compiling script in an external memory of the basic framework.
The management node 201 is configured to: according to the application, determining the application mirror image in a Hard Disk Drive (HDD) library managed by a management node of a structure-based infrastructure and a computer FBCI (fiber Bragg Grating) framework, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or determining the application mirror image in a template library managed by a management node of the FBCI architecture according to the application, and configuring the application mirror image to a server node in the infrastructure in a hard disk copy mode.
The management node 201 is further configured to start the application; the server node 202 is configured to run the compiling script and apply the parameter configuration script.
The embodiment of the invention provides a device for deploying services, which is characterized in that a management node automatically configures a basic framework and generates a parameter configuration script and a compiling script according to an application selected by a user, the management node determines an application mirror image and configures the application mirror image to a server node of the basic framework, the application is started, the server node runs the compiling script, and the parameter configuration script is applied, so that the speed of deploying the services can be increased, and the time required by deploying the services can be reduced.
Example 2
An embodiment of the present invention provides a method for service deployment, and as shown in fig. 3, the method includes:
the user selects the application according to the service requirement of the user and selects the configuration according to the selected application. It should be noted that different applications have different configurations, and the configurations herein refer to hardware configurations and software configurations. For example, a Service is selected as a database server, and then a relevant configuration of the database server is selected, where the relevant configuration may be a Service scenario, a user number, a specific product, a Service Level Agreement (SLA) and other Internet Protocol (IP) Domain Name Server (DNS) relevant performance parameters, and the like, and the selected relevant configuration is stored in a Solid State Disk (SSD) configured for an application, so as to accelerate Service deployment. The SSD adopts a technology of storing and reading data by an electronic storage medium, breaks through the performance bottleneck of the traditional mechanical hard disk, has extremely high storage performance, and has higher processing speed and higher efficiency than the traditional hard disk. Here, the business system refers to I T system for satisfying business needs of an enterprise or organization, and generally includes database middleware and applications, the database middleware refers to third party software or services for accessing a database, and the middleware is a separate system software or service program, and can connect two separate applications or separate systems for information transfer between the two separate applications or separate systems. An Application (APP) refers to a technology, system, software, or product that provides services for an enterprise or organizational business.
It should be noted that fig. 4 shows an FBCI architecture, wherein the FBCI architecture is assembled by independent modules and connected to each other through a conversion backplane. The FBCI architecture includes: the FBCI comprises a management node, a Central Processing Unit (CPU) pool, a memory pool and a storage pool, wherein the management node manages the CPU, the memory and external storage in the FBCI framework and allocates different resources according to different applications. It should be noted that the CPU pool, the memory pool, and the storage pool all correspond to physical entities. In this step, the basic architecture required for configuring and running the application is the allocation of physical resources, and the basic architecture refers to an architecture system capable of providing computing, storage and network by installing an operating system on the basis of connecting a server with a storage device and a network device.
The FBCI receives the selected application and the related configuration of a user, and obtains the hardware configuration information after the configuration of the configuration engine of the rapid deployment functional area, namely, the CPU, the memory, the external storage space, the network bandwidth and the like required by the configuration are configured on a new server, namely, the hardware is combined to form a server capable of providing storage and network.
It should be noted that, in step 301, the hardware resources required for running the application are configured according to the application selected by the user and the relevant configuration of the selected application.
Where Σ α represents the performance value required by the application, such as for example an online transaction reference TPCC of 300W required by a certain real time accounting system. The TPCC is one of the parameters for evaluating performance under the FBCI architecture, and can be the performance of the overall system constructed by the server and the client.
Beta represents a redundancy coefficient, for example, beta may be 1.3, and Σ α β requires a performance value of 390w for the TPCC.
{ a, b, c, d, … } represents the set of infrastructure performance values, which can be taken to be the closest rail to the requirements, i.e., the rail closest to 390 w.
For example, a is a configuration of 150w TPCC, CPU: 4 10 core CPUs, which can be as strong as Xeon E7500; memory: 16G; external storage: the SSD 10T stores space. d is the configuration of 400W TPCC, 8 CPUs with 10 cores can be set to be Xeon E7500; memory: 512G; external storage: the SSD 10T stores space. Wherein the set of infrastructure performance values can be derived from a configuration library that integrates the relevant knowledge and data according to the business model.
According to the evaluated rules: the upper rail closest to the requirement is taken. Therefore, a performance value of 400W can be taken here. And then, the service starts to allocate resources such as a CPU, a memory, an external storage and the like to construct according to the configuration model of 400 w.
303, generating a parameter configuration script and a compiling script according to the application selected by the user and the configuration of the selected application;
for example, when deploying a database application, parameter configuration scripts, such as operating system parameters and configuration scripts, may be generated; a database parameter script; related performance processing scripts, etc.; a compilation script, such as a database compilation script, may also be generated.
It should be noted that the generated parameter configuration script and the generated compiling script are directly issued to the allocated infrastructure by the management node in the FBC I architecture, and are stored in the external storage in the infrastructure.
optionally, the application image is determined in a hard disk drive HDD library or a template library of the management node of the FBCI framework according to the application selected by the user. As shown in fig. 4, the HDD library or the template library is located in the rapid deployment function area and managed by the management node. The HDD library or the template library stores application images of various service applications.
It should be noted that the present embodiment supports two methods for configuring an application image on a server node corresponding to the application: one is HDD mirroring and the other is a traditional virtual machine. When HDD mirroring is adopted, selecting application mirroring from a HDD library stored in a management node of the FBCI architecture, and configuring the application mirroring to a server node in the infrastructure in a HDD snapshot mode; when the traditional virtual machine is adopted, an application mirror image is selected from a template library stored in a management node of an FBCI framework, and the application mirror image is configured to a server node in the basic framework in a hard disk copying mode.
Step 305, starting the application, running the compiling script on the server node, and applying the parameter configuration script.
And after the application mirror image is configured on the server node corresponding to the running application, starting the application. In the application starting process, the server node in the basic framework runs the compiling script and applies the parameter configuration script, namely, the configuration of the IP DNS database parameters, the application parameters and the like is automatically applied through the parameter configuration script.
The embodiment of the invention provides a service deployment method, which comprises the steps of automatically configuring a basic framework according to an application selected by a user and generating a parameter configuration script and a compiling script by adopting an FBCI (fiber Bragg Grating interface) framework, determining an application mirror image according to the application, configuring the application mirror image to a server node in the basic framework, starting the application, running the compiling script on the server node and applying the parameter configuration script. When the service deployment method provided by the embodiment of the invention is adopted to deploy the service, the service deployment can be completed in a short time, such as 10 minutes, so that the service deployment speed can be improved, and the time required by the service deployment can be reduced.
An embodiment of the present invention provides a device for service deployment, where the device may be an FBCI, and as shown in fig. 5, the device includes: the management node 501, the evaluation unit 5011, the issuing unit 5012 and the server node 502;
the management node 501 is configured to configure a basic architecture required for running the application according to the application selected by the user and the configuration of the selected application, and generate a parameter configuration script and a compiling script;
further, the infrastructure includes server nodes, memory, external storage, and the like. Further, an evaluation unit 5011 in the management node 501, configured to evaluate the infrastructure performance values required for running the application according to Σ α · β ≈ { a, b, c, d, … } and determine the required infrastructure; wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; { a, b, c, d, … } represents the set of infrastructure performance values. These sets of infrastructure performance values can be derived from a configuration library that integrates the relevant knowledge and data according to the business model.
For example, a certain real-time accounting system requires a TPCC of 300W. The TPCC is one of the parameters for evaluating performance under the FBCI architecture, and can be the performance of the overall system constructed by the server and the client.
Beta represents a redundancy coefficient, for example, beta may be 1.3, and Σ α β requires a performance value of 390w for the TPCC.
a, b, c, d respectively represent a set of infrastructure performance values, { a, b, c, d, … } represents a set of infrastructure performance values, which can be taken to be the closest rail to the requirement, i.e., the rail closest to 390 w.
For example, a is a configuration of 150w TPCC, CPU: 4 10 core CPUs, which can be as strong as Xeon E7500; memory: 16G; external storage: the SSD 10T stores space. d is the configuration of 400W TPCC, 8 CPUs with 10 cores can be set to be Xeon E7500; memory: 512G; external storage: the SSD 10T stores space.
According to the evaluated rules: the upper rail closest to the requirement is taken. Therefore, a performance value of 400W can be taken here. And then, the service starts to allocate hardware resources such as a CPU, a memory, an external storage and the like to construct according to the configuration model of 400 w.
Further, the issuing unit 5012 in the management node 501 is configured to issue the parameter configuration script and the compiling script to the infrastructure, and store the parameter configuration script and the compiling script in an external storage in the infrastructure.
The management node 501 is further configured to determine an application image according to the application, and configure the application image to a server node in the infrastructure;
further, the management node 501 is specifically configured to: according to the application, determining an application mirror image in a Hard Disk Drive (HDD) library managed by a structure-based infrastructure and a management node of a computer FBCI (fiber Bragg Grating) architecture, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or, the application mirror image is determined in a template library managed by a management node of the FBCI framework according to the application, and the application mirror image is configured to the server node in the infrastructure in a hard disk copy manner.
The management node 501 is further configured to start the application, run the compilation script by the server node 502, and apply the parameter configuration script.
The embodiment of the invention provides a device for service deployment, which automatically configures a basic framework, generates a parameter configuration script and a compiling script according to an application selected by a user through a management node, determines an application mirror image and configures the application mirror image to a server node; and starting the application, running the compiling script by the server node, and applying the parameter configuration script, so that the service deployment speed can be improved, and the time required by service deployment can be reduced.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for service deployment, comprising:
configuring a basic framework required by running the application according to the application selected by a user and the configuration of the selected application, and generating a parameter configuration script and a compiling script;
determining an application image according to the application, and configuring the application image to a server node in the infrastructure;
and starting the application, running the compiling script on the server node, and applying the parameter configuration script.
2. The method of claim 1, wherein configuring infrastructure required to run the application comprises:
evaluating infrastructure performance values required for running the application according to Σ α · β ≈ a, b, c, d, …, and determining the required infrastructure;
wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; a, b, c, d represent a set of infrastructure performance values, respectively, { a, b, c, d, … } represents a set of infrastructure performance values.
3. The method of claim 1 or 2, wherein the generating a parameter configuration script and a compilation script further comprises:
and issuing the parameter configuration script and the compiling script to the basic framework, and storing the parameter configuration script and the compiling script in an external storage in the basic framework.
4. The method of any of claims 1 to 3, wherein determining an application image from the application and deploying the application image onto a server node in the infrastructure comprises:
according to the application, determining the application mirror image in a Hard Disk Drive (HDD) library managed by a management node of a structure-based infrastructure and a computer FBCI (fiber Bragg Grating) framework, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or,
and according to the application, determining the application mirror image in a template library managed by a management node of the FBCI framework, and configuring the application mirror image to a server node in the infrastructure in a hard disk copy mode.
5. An apparatus for service deployment, comprising:
the management node is used for configuring a basic framework required by running the application according to the application selected by the user and the configuration of the selected application, and generating a parameter configuration script and a compiling script; determining an application image according to the application, and configuring the application image to a server node in the infrastructure;
the management node is further configured to start the application;
and the server node is used for running the compiling script and applying the parameter configuration script.
6. The apparatus of claim 5, wherein the management node comprises:
the evaluation unit is used for evaluating the performance value of the basic framework required by the running of the application according to sigma alpha, beta and { a, b, c, d, … } and determining the required basic framework;
wherein Σ α represents a performance value required by the application; β represents a redundancy coefficient; a, b, c, d represent a set of infrastructure performance values, respectively, { a, b, c, d, … } represents a set of infrastructure performance values.
7. The apparatus of claim 5 or 6, wherein the management node further comprises:
and the issuing unit is used for issuing the parameter configuration script and the compiling script to the basic framework and storing the parameter configuration script and the compiling script in an external memory of the basic framework.
8. The apparatus according to any one of claims 5 to 7, wherein the management node is configured to determine an application image according to the application, and configure the application image to a server node in the infrastructure, specifically:
the management node is used for determining an application mirror image in a Hard Disk Drive (HDD) library managed by a structure-based infrastructure and a management node of a computer FBCI (fiber Bragg Grating) architecture according to the application, and configuring the application mirror image to a server node in the infrastructure in a HDD snapshot mode; or, the application mirror image is determined in a template library managed by a management node of the FBCI framework according to the application, and the application mirror image is configured to the server node in the infrastructure in a hard disk copy manner.
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PCT/CN2012/080992 WO2014036693A1 (en) | 2012-09-05 | 2012-09-05 | Service deployment method and device |
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CN103109515A true CN103109515A (en) | 2013-05-15 |
CN103109515B CN103109515B (en) | 2016-03-09 |
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---|---|---|---|---|
CN105450607A (en) * | 2014-08-27 | 2016-03-30 | 华为技术有限公司 | Service deployment method, service deployment device and service deployment system |
CN105677356A (en) * | 2016-01-11 | 2016-06-15 | 上海雷腾软件股份有限公司 | Operation and maintenance method and device |
CN107665181A (en) * | 2016-07-27 | 2018-02-06 | 中兴通讯股份有限公司 | A kind of method and system of centralized configuration equipment |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060253490A1 (en) * | 2005-05-05 | 2006-11-09 | International Business Machines Corporation | System and method for defining and generating document management applications for model-driven document management |
CN101232400A (en) * | 2008-02-25 | 2008-07-30 | 浪潮电子信息产业股份有限公司 | Method for allocating operating system through network guide |
CN101384995A (en) * | 2006-02-13 | 2009-03-11 | 国际商业机器公司 | Administration automation in application servers |
Family Cites Families (1)
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060253490A1 (en) * | 2005-05-05 | 2006-11-09 | International Business Machines Corporation | System and method for defining and generating document management applications for model-driven document management |
CN101384995A (en) * | 2006-02-13 | 2009-03-11 | 国际商业机器公司 | Administration automation in application servers |
CN101232400A (en) * | 2008-02-25 | 2008-07-30 | 浪潮电子信息产业股份有限公司 | Method for allocating operating system through network guide |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105450607A (en) * | 2014-08-27 | 2016-03-30 | 华为技术有限公司 | Service deployment method, service deployment device and service deployment system |
CN105450607B (en) * | 2014-08-27 | 2018-08-14 | 华为技术有限公司 | A kind of method, apparatus and system of service deployment |
CN105677356A (en) * | 2016-01-11 | 2016-06-15 | 上海雷腾软件股份有限公司 | Operation and maintenance method and device |
CN107665181A (en) * | 2016-07-27 | 2018-02-06 | 中兴通讯股份有限公司 | A kind of method and system of centralized configuration equipment |
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