WO2017067449A1

WO2017067449A1 - Deployment method and system for cloud platform

Info

Publication number: WO2017067449A1
Application number: PCT/CN2016/102474
Authority: WO
Inventors: 颜伟
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-10-19
Filing date: 2016-10-18
Publication date: 2017-04-27
Also published as: CN106598559A

Abstract

The present invention relates to the technical field of cloud computation. Disclosed are a deployment method and system for a cloud platform. The method comprises: after all nodes of a cloud platform are grouped into a plurality of deployment domains, a control end configures one working end for each deployment domain; the control end allocates one cloud platform service deployment task for each working end; and each working end deploys a cloud platform service for nodes in the corresponding deployment domain according to the allocated cloud platform service deployment task.

Description

Cloud platform deployment method and system

Technical field

The present disclosure relates to the field of cloud computing technologies, and in particular, to a method and system for deploying a cloud platform.

Background technique

As a hot spot of current information technology, cloud computing is developing rapidly and becoming more mature. However, whether it is a public cloud provided by a commercial company or a private cloud built by a company, its infrastructure-as-a-service (IAAS) deployment has always been a problem that plagues the industry, especially when the infrastructure is large. It will be more difficult, time-consuming and laborious, which has affected the development of cloud computing to a certain extent.

The current deployment method is as follows:

1, manual deployment

The operating system (Operating System, OS) and IAAS services are installed on each node of the Infrastructure-as-a-service (IAAS) platform by manually executing commands.

This method is generally only used for the deployment of the experimental environment, and the formal production environment is rarely used.

2, automatic deployment

Automate the installation of OS and IAAS services for each node by writing some automated configuration scripts. In this method, the script execution is located on one node. When the IAAS platform is large, a single node becomes a bottleneck, and the deployment time will be relatively long.

Summary of the invention

The present disclosure provides a method and system for deploying a cloud platform, which can improve the efficiency of cloud platform deployment.

According to an aspect of the disclosure, a method for deploying a cloud platform is provided, including:

After the control unit divides all the nodes of the cloud platform into multiple cloud platform service deployment domains (referred to as deployment domains), configure a working terminal for each cloud platform service deployment domain;

After configuring one working end for each cloud platform service deployment domain, the control terminal allocates a cloud platform service deployment task for each working end;

Each of the working terminals deploys a cloud platform service for a node in the corresponding cloud platform service deployment domain according to the allocated cloud platform service deployment task.

Optionally, the control end divides all nodes of the cloud platform into multiple deployment domains according to the number of nodes of the cloud platform.

Optionally, after configuring one working end for each cloud platform service deployment domain, the divided deployment domain is adjusted according to the load of the working end of each deployment domain.

Optionally, during each of the working ends, the cloud platform service is deployed for the node corresponding to the cloud platform service deployment domain, and the control terminal dynamically adjusts the allocation to each work according to the load of the working end of each cloud platform service deployment domain. Cloud platform service deployment tasks.

Optionally, the cloud platform service deployment task is a command to install an operating system, and the step of the working end deploying the cloud platform service for the node corresponding to the cloud platform service deployment domain includes:

The working end acquires a corresponding operating system according to the assigned cloud platform service deployment task, and installs the acquired operating system for at least one node in the corresponding cloud platform service deployment domain.

Optionally, the cloud platform service deployment task is a command for deploying an IAAS service, and the step of deploying the cloud platform service by the working terminal for the node in the cloud platform service deployment domain includes:

The working end acquires the corresponding IAAS service according to the assigned cloud platform service deployment task, and installs the acquired IAAS service for at least one node in the cloud platform service deployment domain.

According to another aspect of the present disclosure, a rapid deployment system of a cloud platform is provided, including:

node;

The control terminal is configured to configure one working end for each deployment domain after all the nodes of the cloud platform are divided into multiple deployment domains, and assign a cloud platform service deployment task to each working end;

The working end is used to deploy the cloud platform service for the nodes in the corresponding deployment domain according to the allocated cloud platform service deployment task.

Optionally, after the control end configures one working end for each deployment domain, the control end adjusts the divided deployment domain according to the load of the working end of each deployment domain.

Optionally, during the deployment of the cloud platform service for the node corresponding to the deployment domain, the control terminal dynamically adjusts the cloud platform service deployment task allocated to each working end according to the load of the working end of each deployment domain. .

Optionally, the cloud platform service deployment task is a command to install an operating system, and the working end acquires a corresponding operating system according to the allocated cloud platform service deployment task, and obtains the installation for at least one node in the corresponding deployment domain. Operating system.

Optionally, the cloud platform service deployment task is a command for deploying an IAAS service, and the working end acquires a corresponding IAAS service according to the allocated cloud platform service deployment task, and obtains the installation for at least one node in the corresponding deployment domain. IAAS service.

The present disclosure also provides a non-transitory storage medium storing computer executable instructions arranged to perform the cloud platform deployment method described above.

The present disclosure also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer is caused to execute the above-described deployment method of the cloud platform.

The present disclosure also provides an electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being When the at least one processor executes, the at least one processor is configured to execute the cloud cloud platform deployment method.

The present disclosure realizes the rapid deployment of the cloud computing platform by performing secondary deployment on the cloud computing IAAS platform, especially when the scale is large, the deployment efficiency can be significantly improved.

DRAWINGS

FIG. 1 is a schematic block diagram of a rapid deployment of a cloud platform according to an embodiment of the present disclosure;

2 is a structural diagram of a small-scale secondary deployment system provided by an embodiment of the present disclosure;

3 is a structural diagram of a large-scale secondary deployment system provided by an embodiment of the present disclosure;

4 is a networking diagram of a deployment system according to an embodiment of the present disclosure;

FIG. 5 is a flowchart of rapid deployment of a cloud platform according to an embodiment of the present disclosure.

detailed description

The technical solutions in the disclosed embodiments of the present invention will be clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention, and the features in the following embodiments and embodiments may be combined with each other without conflict. 1 is a flowchart of a method for deploying a cloud platform according to an embodiment of the present disclosure. As shown in FIG. 1 , the method for deploying the cloud platform includes:

Step S100: The control terminal for the cloud platform service deployment, after all the nodes of the cloud platform are divided into multiple cloud platform service deployment domains (referred to as deployment domains), configure one cloud platform for each cloud platform service deployment domain. The working side of the service deployment.

The control terminal divides the cloud platform service deployment domain according to the number of nodes of the cloud platform, for example, the cloud platform has a common 1000 nodes, pre-agreed 100 nodes are defined as a cloud platform service deployment domain. At this time, 10 cloud platform service deployment domains can be divided.

After dividing the cloud platform service deployment domain according to the number of nodes of the cloud platform, the control terminal adds or reduces the adjusted cloud platform service deployment domain according to the load of the working end of each cloud platform service deployment domain. For example, when the load on the working end increases, the cloud platform service deployment domain can be appropriately increased, and vice versa.

Step S200: After configuring one working end for each cloud platform service deployment domain, the control terminal allocates a cloud platform service deployment task to each working end.

The cloud platform service deployment domain is a collection of nodes to be deployed, and the deployment of nodes in each cloud platform service deployment domain is completed by one workstation, that is, each workstation is responsible for all nodes of the cloud platform service deployment domain. deploy.

Step S300: Each of the working terminals deploys a cloud platform service for a node in the cloud service service deployment domain according to the cloud platform service deployment task sent by the control terminal.

During the deployment of the cloud platform service of the node of the cloud platform service deployment domain, the control terminal dynamically allocates the deployment task to each working terminal according to the load of the working end of each cloud platform service deployment domain. For example, if the CPU usage of a working end is greater than the default CPU usage threshold, the workload of the working platform is heavy. In this case, the cloud platform service deployment task to be allocated to the working end is dynamically allocated to other CPUs. Low working end.

The cloud platform service task may be a command for installing an operating system for a node in the cloud service service deployment domain, where the command carries the node to be deployed and the operating system version information, and the working end is used according to the The operating system version information in the command to install the operating system for the node in the cloud platform service deployment domain, and the operating system version of the node in the cloud platform service deployment domain, such as the Linux system, obtained from the version server, and in the command The acquired operation is installed on the node specified in Make the system version.

The cloud platform service task is used to deploy an IAAS service to a node in the cloud service service deployment domain, where the command carries the node to be deployed and the IAAS service information, and the working terminal is used according to the The node in the cloud platform service deployment domain deploys the IAAS service information in the command of the IAAS service, obtains the IAAS service version that needs to be deployed on the node in the cloud platform service deployment domain from the version server, and deploys the node on the node specified in the command. Get the IAAS service version.

In the present disclosure, the cloud platform deployment system is divided into two levels, the first level is a controller of a deployment server capable of controlling the deployment process of the entire cluster, and the second level is a specific deployment operation and acts as a node hardware discovery agent. Role deployment server workers, where the deployment server is a server dedicated to deploying a cloud computing infrastructure platform. The first level control end is responsible for the development of the deployment strategy, and can provide a standard interface externally. For example, all the nodes of the cloud platform are divided into multiple cloud platform service deployment domains, and each cloud platform service deployment domain is configured with a working end. During the subsequent deployment process, the control terminal may add or reduce the adjusted cloud platform service deployment domain according to the load of the working platform of each cloud platform service deployment domain, or dynamically allocate the deployment task to the less-loaded work. end. The second-level working end is responsible for the specific execution of the deployment. For example, according to the cloud platform service deployment task issued by the control terminal, the cloud platform service is deployed for the node in the cloud service service deployment domain, for example, an operating system or an IAAS service is installed.

2 is a structural diagram of a small-scale secondary deployment system provided by an embodiment of the present disclosure, and FIG. 3 is a structural diagram of a large-scale secondary deployment system provided by an embodiment of the present disclosure. As shown in FIG. 2 and FIG. 3, each includes multiple nodes. , control and work. When the cluster size is small, the console and the working terminal can be set on the same node as shown in Figure 2. In large-scale cluster deployment, in order to improve efficiency, the console and the working terminal can be located at different nodes as shown in Figure 3. on. The cluster is a collection of all nodes to be deployed.

The deployment domain of the present disclosure has the characteristics of elastic contraction, and mainly relates to the division of the cloud platform service deployment domain, and can divide all nodes of the cluster into multiple cloud platform service deployment domains, for example, divided into two cloud platform service deployment domains in FIG. 2, Each deployment domain is configured with one deployment worker responsible for the deployment of all nodes of the deployment domain. as shown in picture 2. The number of cloud platform service deployment domains can be set in two ways:

1) Configuration file.

For example, in the configuration file, 100 nodes are pre-agreed as a cloud platform service deployment domain.

2) Dynamic configuration.

The control terminal dynamically increases or decreases the working end according to the deployment scale and the load of each working end.

In practical applications, the second method is adopted, and the deployed working end is placed on the virtual machine to facilitate the elastic contraction of the number of working ends.

The disclosure has the feature of dynamically adjusting the deployment task, and the control terminal can dynamically allocate the deployment task to each working end according to the scale of the entire cloud platform. If a workload is detected to be heavy during the deployment process, such as CPU usage, memory usage, or network bandwidth usage (beyond a certain threshold), you can migrate the deployment task to other workloads that are lighter.

The disclosure improves the deployment efficiency through the second-level deployment. In theory, the deployment time can be doubled, that is, the actual deployment time t=the original deployment time T/the number of deployment domains. For example, when the existing deployment method is adopted, the deployment time of 1000 nodes is T. The actual deployment time of the present disclosure is as follows: after dividing one cloud platform service deployment domain per 100 nodes and obtaining 10 cloud platform service deployment domains. It is T/10.

The control end and the working end in the present disclosure are logical concepts, may be physically located on the same deployment server, or may be located on different deployment servers.

Example 1

The deployment worker is located on a physical node, which can be divided into specific deployments and operating system deployments. The deployment of the IAAS service is first performed in accordance with Figure 4. The detailed process of deploying the cloud platform is shown in Figure 5. The steps include:

Step (1): The working end discovers the bare metal, that is, the node, through the out-of-band channel.

After the node is placed or inserted into the frame, the node is discovered and the node is powered on through the outband channel. After the node is powered on, the node reports its hardware information to its associated working end through the inband channel to complete the bare metal discovery process. The hardware information includes information such as a CPU, a hard disk, and a network port MAC address of the node.

Step (2): The hardware information of the bare metal discovered by the working terminal is reported to the control terminal in the form of a list.

Step (3): The control terminal issues a command for operating system installation to each working terminal.

Step (4): The working end configures the network to install the operating system environment, and the node installs the operating system through the inband channel.

Step (5): The node feeds back the operating system deployment progress to the corresponding working end.

Step (6): The working end reports the deployment progress to the control terminal.

Step (7): After the operating system is installed, the working end resets the node through the outband channel.

Step (8): The working end reports the completion of the operating system installation to the control terminal to complete the operating system installation process.

Step (9): The control terminal sends a cloud platform service deployment command to the working end.

Step (10): The working end deploys the IAAS service on the corresponding deployment domain node through the inband channel.

Step (11): The deployment domain node feeds back the deployment progress of the IAAS service.

Step (12): The working end reports the deployment progress of the IAAS service to the control end.

Step (13): The IAAS service deployed on the domain node is successfully deployed.

Step (14): The control end reports a message that the deployment domain node IAAS service is successfully deployed to the control end.

After the IAAS services of all the nodes of the cloud platform are deployed successfully, the deployment of the cloud platform is completed.

Example 2

The deployment work is located on the virtual machine. The basic implementation process is similar to the embodiment, except that all the work itself is also located in a cloud platform. For the flowchart, refer to Figure 5. The steps include:

Step (3): The control terminal sends a command for operating system installation to each working terminal according to a certain policy.

The policy may be a policy for dividing the working end. For example, the control terminal divides the discovered nodes into multiple cloud platform service deployment domains according to the configuration file, and configures one working end for each cloud platform service deployment domain.

Step (9): The control terminal sends a cloud platform service deployment command to the working terminal according to a certain policy.

The policy may be a policy for dividing the working end, for example, the control end is loaded according to the working end. In the case, the flexibility adjusts the increase or decrease of the working end.

The policy may also be a policy for adjusting a deployment task. For example, the control terminal dynamically adjusts the task to be deployed of the heavily loaded node to other lightly loaded nodes according to the load condition of the working end.

Compared with the deployment work center and the deployment domain of the embodiment 1 that require a pre-planned implementation, the advantage of the second embodiment is that the deployment task can be flexibly contracted according to the deployment load, or the deployment task can be migrated between different deployment domains. .

The present disclosure also provides a non-transitory storage medium storing computer executable instructions arranged to perform the deployment method of the cloud platform of the above embodiment.

The present disclosure also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer is caused to execute the deployment method of the cloud platform of the above embodiment.

The present disclosure also provides an electronic device. The electronic device can include at least one processor and a memory. The memory is for storing instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform the cloud platform deployment method described above.

The electronic device can also include a communications interface (Communications Interface) and a bus. Among them, The processor, the communication interface, and the memory can communicate with each other through the bus. The communication interface can be used for information transmission. The processor can invoke logic instructions in the memory to perform the deployment method of the cloud platform of the above embodiment.

In addition, the logic instructions in the above-described memory may be implemented in the form of a software functional unit and sold or used as a stand-alone product, and may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product stored in a storage medium, including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network) The device or the like) performs all or part of the steps of the method described in various embodiments of the present disclosure. The foregoing storage medium may be a non-transitory storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. A medium that can store program code, or a transitory storage medium.

The disclosure improves the deployment efficiency of the cloud platform through the secondary deployment, and can save the deployment time in a large-scale cluster deployment.

Although the present disclosure has been described in detail above, the present disclosure is not limited thereto, and various modifications may be made by those skilled in the art in accordance with the principles of the present disclosure. Therefore, modifications made in accordance with the principles of the present disclosure are to be understood as falling within the scope of the present disclosure.

Industrial applicability

Claims

A method for deploying a cloud platform, including:

After the control unit divides all the nodes of the cloud platform into multiple deployment domains, configure one working end for each deployment domain.

The control end allocates a cloud platform service deployment task to each working end;

Each of the working ends deploys a cloud platform service for a node in the corresponding deployment domain according to the allocated cloud platform service deployment task.
The method according to claim 1, wherein the control terminal divides all nodes of the cloud platform into a plurality of deployment domains according to the number of nodes of the cloud platform.
The method according to claim 1, wherein after configuring one working end for each deployment domain, the divided deployment domain is adjusted according to the load of the working end of each deployment domain.
The method according to any one of claims 1-3, wherein during the deployment of the cloud platform service for each node of the corresponding deployment domain, the control terminal is loaded according to the workload of the working end of each deployment domain. Dynamically adjust the cloud platform service deployment tasks assigned to each worker.
The method of any one of the preceding claims, wherein the cloud platform service deployment task is a command to install an operating system, and the step of the working end deploying the cloud platform service for the node in the corresponding deployment domain includes:

The working end acquires a corresponding operating system according to the allocated cloud platform service deployment task, and installs the acquired operating system for at least one node in the corresponding cloud platform service deployment domain.
The method of any one of the preceding claims, wherein the cloud platform service deployment task is a command for deploying an IAAS service, and the step of the working end deploying the cloud platform service for the node in the corresponding deployment domain includes:

The working end acquires the corresponding IAAS service according to the allocated cloud platform service deployment task, and installs the acquired IAAS service for at least one node in the corresponding deployment domain.
A cloud platform deployment system, comprising:

node;

The control terminal is configured to configure one working end for each deployment domain after all the nodes of the cloud platform are divided into multiple deployment domains, and assign a cloud platform service deployment task to each working end;

The working end is used to deploy the cloud platform service for the nodes in the corresponding deployment domain according to the allocated cloud platform service deployment task.
The system according to claim 7, wherein the control terminal divides all nodes of the cloud platform into a plurality of deployment domains according to the number of nodes of the cloud platform.
The method according to claim 7, wherein after the control end configures one working end for each deployment domain, the control terminal adjusts the divided deployment domain according to the load of the working end of each deployment domain.
The system according to any one of claims 7-9, wherein during the deployment of the cloud platform service for each node of the corresponding deployment domain, the control terminal dynamically updates according to the load of the working end of each deployment domain. Adjust the cloud platform service deployment tasks assigned to each worker.
The system according to any one of claims 7-9, wherein the cloud platform service deployment task is a command to install an operating system, and the working end acquires a corresponding operating system according to the allocated cloud platform service deployment task, and Install the acquired operating system for at least one node in the corresponding deployment domain.
The system according to any one of claims 7-9, wherein the cloud platform service deployment task is a command for deploying an IAAS service, and the working end acquires a corresponding IAAS service according to the allocated cloud platform service deployment task, and Install the acquired IAAS service for at least one node in the corresponding deployment domain.
A non-transitory storage medium storing computer executable instructions, the computer executable instructions being arranged to perform the cloud platform deployment method of any of claims 1-6.
A computer program product comprising a non-transitory computer A computer program on a readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the method of deploying the cloud platform of any of claims 1-6.
An electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being processed by the at least one When executed, the at least one processor is configured to perform the deployment method of the cloud platform according to any one of claims 1-6.