WO2024099274A1

WO2024099274A1 - Data processing method, device, and storage medium

Info

Publication number: WO2024099274A1
Application number: PCT/CN2023/129974
Authority: WO
Inventors: 杜志红
Original assignee: 中兴通讯股份有限公司
Priority date: 2022-11-07
Filing date: 2023-11-06
Publication date: 2024-05-16
Also published as: CN117992074A

Abstract

The present application relates to the field of communications, and discloses a data processing method, a device, and a storage medium. The data processing method in embodiments of the present application comprises: receiving a starting instruction for a cloud operating system; in response to the starting instruction, mounting an installation directory of the cloud operating system, wherein there is a mapping relationship between the installation directory and a base disk directory of a server node corresponding to the cloud operating system; and on the basis of installation information of an application program in the base disk directory, installing in the cloud operating system the application program corresponding to the installation information.

Description

Data processing method, device and storage medium

cross reference

The present invention claims the priority of the Chinese patent application filed with the China Patent Office on November 7, 2022, with application number 202211385626.X and invention name “Data processing method, device and storage medium”. The entire contents of the application are incorporated into the present invention by reference.

Technical Field

The embodiments of the present application relate to the field of communications, and in particular, to a data processing method, device, and storage medium.

Background technique

With the rapid development of computer technology, cloud operating systems have been deployed on a large scale. Compared with traditional physical devices (such as mobile phones, tablets, etc.), cloud operating systems have better physical performance. The cloud operating system stores the installation data of all online applications. After receiving the user's startup instruction for a certain application, the application can be run directly.

However, since multiple cloud operating systems can be created under the same server, each cloud operating system needs to store a copy of the application's installation data. Therefore, multiple copies of the installation data need to be stored for the same application on the same server, resulting in a waste of storage space. Therefore, a solution to improve the storage space utilization of the cloud operating system is needed.

Summary of the invention

The embodiments of the present application provide a data processing method, a device, and a storage medium to provide a solution for improving storage space utilization of a cloud operating system.

In a first aspect, a data processing method is provided, which is applied to a cloud operating system, and the method includes: receiving a startup instruction for the cloud operating system; in response to the startup instruction, mounting an installation directory of the cloud operating system, wherein a mapping relationship exists between the installation directory and a mother disk directory of a server node corresponding to the cloud operating system; and based on the installation information of the application in the mother disk directory, installing the application corresponding to the installation information in the cloud operating system.

In a second aspect, a data processing method is provided, which is applied to a server node, and the method includes: obtaining installation information of an application to be launched, and storing the installation information of the application to be launched in a master disk directory of the server node, the master disk directory of the server node being constructed based on the installation information of the application; mounting the master disk directory of the server node to an installation directory in a cloud operating system corresponding to the server node, and there being a mapping relationship between the master disk directory of the server node and the installation directory, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the master disk directory of the server node, installing the application to be launched in the cloud operating system corresponding to the server node.

In a third aspect, a data processing method is provided, which is applied to a data management platform, and the method includes: obtaining installation information of an application to be launched; when it is determined that the application to be launched is running normally, sending the installation information of the application to be launched to a preset server node, so that the preset server node stores the installation information of the application to be launched in a mother disk directory, and there is a mapping relationship between the mother disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory, and based on the installation information of the application in the mother disk directory, installs the application to be launched in the cloud operating system. program.

In a fourth aspect, a data processing device is provided, which terminal includes a processor and a memory, the memory storing a program or instruction that can be executed on the processor, and the program or instruction, when executed by the processor, implements the steps of the data processing method as described in the first aspect, or implements the steps of the data processing method as described in or the second aspect, or implements the steps of the data processing method as described in or the third aspect.

In a fifth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the data processing method as described in the first aspect, or the steps of the data processing method as described in the second aspect, or the steps of the data processing method as described in the third aspect are implemented.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of a data processing method according to an embodiment of the present application;

FIG2 is a schematic flow chart of another data processing method according to an embodiment of the present application;

FIG3 is a schematic flow chart of another data processing method according to an embodiment of the present application;

FIG4 is a schematic flow chart of another data processing method according to an embodiment of the present application;

FIG5 is a schematic diagram of a data processing method according to an embodiment of the present application;

FIG6 is a schematic flow chart of another data processing method according to an embodiment of the present application;

FIG7 is a schematic flow chart of another data processing method according to an embodiment of the present application;

FIG8 is a schematic diagram of another data processing method according to an embodiment of the present application;

FIG9 is a schematic diagram of the structure of a data processing device according to an embodiment of the present application;

FIG10 is a schematic diagram of the structure of another data processing device according to an embodiment of the present application;

FIG11 is a schematic diagram of the structure of another data processing device according to an embodiment of the present application;

FIG12 is a schematic diagram of the structure of another data processing device according to an embodiment of the present application;

FIG. 13 is a schematic diagram of the structure of a data processing device according to an embodiment of the present application.

Detailed ways

The embodiments of this specification provide a data processing method, device and storage medium.

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

The inventive concept of the present application is as follows: With the rapid development of computer technology, cloud operating systems have been deployed on a large scale. Compared with traditional physical devices (such as mobile phones, tablet computers, etc.), cloud operating systems have better physical properties. The cloud operating system stores the installation data of all online applications. After receiving the user's startup instruction for a certain application, the application can be run directly. However, since multiple cloud operating systems can be created under the same server, each cloud operating system needs to store a copy of the installation data of the application. Then, multiple copies of the installation data need to be stored for the same application in the same server, resulting in a waste of storage space. Therefore, a solution to improve the storage space utilization of the cloud operating system is needed. To this end, the embodiments of this specification provide a technical solution that can solve the above-mentioned problems. For details, please refer to the following content.

Embodiment 1

As shown in FIG1 , an embodiment of the present specification provides a data processing method, the execution subject of the method may be a server, the server may be a server corresponding to a cloud operating system, the server may be an independent server, or a server cluster composed of multiple servers. The method may specifically include the following steps:

In S102, a startup instruction for a cloud operating system is received.

Among them, the server node can create multiple cloud operating systems, and the cloud operating system can be any one or more operating systems in the server node.

In implementation, the cloud operating system can create kernels and central processing units (CPUs) with different configurations according to the operating environment required by the application. Compared with physical devices such as mobile phones and tablets, the cloud operating system can make the operation of the application not affected by physical performance. In addition, on physical devices, users need to manually go to the application market to download and install an application to install an application. In the cloud operating system, there is no need for users to manually operate. The cloud operating system can automatically launch different applications to bring users more audio-visual content. Installing applications on the cloud operating system can not only save the storage space of the user's physical device, but also bring users more rich content and audio-visual experience without requiring too much operation from the user. Among them, the application is actually installed in the cloud operating system and runs in the cloud operating system. Different users may log in to the same cloud operating system one after another, and the same user may log in to different cloud operations. Therefore, in order to ensure the user experience, the server node can install one or more online applications in the cloud operating system, and the server node can send startup instructions to multiple cloud operating systems, that is, the cloud operating system can receive startup instructions sent by the server node.

In S104, in response to the start instruction, the installation directory of the cloud operating system is mounted.

There is a mapping relationship between the installation directory and the master disk directory of the server node corresponding to the cloud operating system.

During implementation, the mother disk directory of the server node corresponding to the cloud operating system can store the installation information of one or more applications to be launched online. The server node can mount the mother disk directory to one or more cloud operating systems corresponding to the server node. In this way, after receiving the startup instruction, the cloud operating system can obtain the installation information of the application stored in the mother disk directory through the installation directory that has been statically mounted in advance.

In S106 , based on the installation information of the application in the directory of the mother disk, the application corresponding to the installation information is installed in the cloud operating system.

During implementation, since the installation directory and running directory of applications in the cloud operating system are different, and each cloud operating system is independent of each other, if different application identifiers (such as uid) are assigned to the same application, due to permission issues, when the same user enters the running data generated by a certain application in a certain cloud operating system, it will cause the application to run abnormally because the running data generated by the user's last entry into the application cannot be read. Therefore, when scanning the application (i.e. registering and installing the application), the cloud operating system assigns the same application identifier to enable the same user to read the running data generated when the application was previously running when accessing different cloud operating systems.

In this way, multiple cloud operating systems created under the server node can install applications locally by sharing the master disk directory of the server node, without the need to store a copy of the application installation information in each cloud operating system, reducing the waste of storage space and improving space utilization.

The embodiment of the present specification provides a data processing method, which is applied to a cloud operating system, by receiving a startup instruction for the cloud operating system, responding to the startup instruction, mounting the installation directory of the cloud operating system, and having a mapping relationship between the installation directory and the mother disk directory of the server node corresponding to the cloud operating system, and installing the application corresponding to the installation information in the mother disk directory in the cloud operating system. In this way, multiple cloud operating systems corresponding to the same server node can obtain installation information by sharing the mother disk directory of the service node, without the need to store a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space, and the more applications there are, the higher the utilization rate of the storage space. In addition, when receiving a trigger instruction for an application, since the application has been installed in advance in the cloud operating system, the application can be directly started, and there is no need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

Embodiment 2

As shown in FIG2 , the embodiment of the present specification provides a data processing method. The execution subject of the method may be a server. The server may be a server of a cloud operating system. The server may be an independent server or a server composed of multiple servers. The method may specifically include the following steps:

In S102, a startup instruction for a cloud operating system is received.

In S202, a start instruction for a target application from a target user is received.

The target application may be an application that has been installed by the cloud operating system based on the installation information.

In implementation, the user can trigger the start of the target application in the terminal device, and the server node can determine the cloud operating system for processing the target application based on the running status of the cloud operating system, that is, the cloud operating system can receive the start-up instruction of the target application from the target user.

In S204 , in response to the start instruction, the personalized directory of the cloud operating system is mounted.

Among them, the personalized directory can have a mapping relationship with the shared directory, the shared directory can be used to store the operation data generated by the application during the operation process, and the shared directory can be stored in a preset storage device, which can be a server. The server can be an independent server or a server cluster composed of multiple servers.

During implementation, when an application is running, it may generate operation data (including user operation data, response data, personalized data, etc.). After receiving the startup instruction from the target user for the target application, the cloud operating system can provide relevant services to the target user based on the previous operation data.

If each cloud operating system of the server node stores a copy of the operating data for each user and each application, it will cause a waste of storage space. By mounting the shared directory stored in the preset storage device to the personalized directory of the cloud operating system, the cloud operating system can read the operating data stored in the shared directory by statically mounting it in a good personalized directory in advance, without the need for additional processing of the operating data locally.

In S206 , based on the user identification and the shared directory of the target user, the operation data corresponding to the target user and the target application is read, and based on the operation data corresponding to the target user and the target application, the target application is run.

During implementation, when the target user receives a shutdown instruction for the target application, the process of the target application exits, the cloud operating system and the target user's terminal device are disconnected, and the operating data (such as the user's login account, subscription information, etc.) can be stored in a shared directory based on the user ID of the target user. The cloud operating system does not need to perform additional processing on the operating data generated by the target application during its operation.

Since the shared directory is a personalized directory statically mounted to the cloud operating system, that is, the data stored in the shared directory is shared for each cloud operating system under the server node, when the target user receives the startup instruction for the target application again, the personalized directory of the cloud operating system can be mounted, and based on the user ID of the target user and the shared directory, the operation data corresponding to the target user and the target application can be read, and the target application can be run based on the operation data corresponding to the target user and the target application. In this way, the cloud operating system does not need to store a copy of the operation data for each user and application, saving storage space and improving space utilization.

Embodiment 3

As shown in FIG3 , an embodiment of the present specification provides a data processing method, the execution subject of the method may be a server node, and the server node may be an independent server or a server cluster composed of multiple servers. The method may specifically include the following steps:

In S302, the installation information of the application to be launched is obtained, and the installation information of the application to be launched is stored in the master disk directory of the server node.

The application to be launched may be any one or more applications that can be run by the cloud operating system, and the master disk directory of the server node may be constructed based on the installation information of the application.

In implementation, the server node may obtain the installation information of one or more applications to be launched sent by the data management platform, and store the installation information of the applications to be launched in the master disk directory.

In S304, the master disk directory of the server node is mounted to the installation directory in the cloud operating system corresponding to the server node.

Among them, there is a mapping relationship between the mother disk directory and the installation directory of the server node, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the mother disk directory, the application to be launched is installed in the cloud operating system corresponding to the server node.

During implementation, multiple cloud operating systems can be created under a server node. The server node stores the installation information of the application to be launched in the master disk directory. In this way, multiple cloud operating systems corresponding to the server node can obtain the installation information of the application in the master disk directory of the server node through the statically mounted installation directory, without the need to store a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space.

The embodiment of the specification provides a data processing method, which is applied to a server node, by obtaining the installation information of the application to be launched, and storing the installation information of the application to be launched in the master disk directory of the server node, the master disk directory of the server node is constructed based on the installation information of the application, the master disk directory of the server node is mounted to the installation directory in the cloud operating system corresponding to the server node, and there is a mapping relationship between the master disk directory of the server node and the installation directory, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the master disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the server node. In this way, multiple cloud operating systems corresponding to the same server node can obtain the installation information by sharing the master disk directory of the service node, without having to store a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space, and the more the number of applications, the higher the utilization rate of the storage space, and in addition, when receiving a trigger instruction for the application, since the application has been installed in the cloud operating system in advance, the application can be directly started, and there is no need to temporarily install the application in the cloud operating system, thereby improving the data processing efficiency.

Embodiment 4

As shown in FIG4 , an embodiment of the present specification provides a data processing method, the execution subject of the method may be a server node, the server node may be an independent server, or a server cluster composed of multiple servers. The method may specifically include the following steps:

In S402, the master disk directory of the server node is mounted to the master disk directory of the target server node corresponding to the server node.

The mother disk directory of the server node has a mapping relationship with the mother disk directory of the target server node, so that the cloud operating system corresponding to the target server node mounts the target installation directory having a mapping relationship with the mother disk directory of the target server node, and based on the installation information of the application in the mother disk directory of the server node, mounts the target installation directory on the target server node. Install the application to be launched in the corresponding cloud operating system.

In implementation, the target server node can be a server node with a preset corresponding relationship. For example, the target server node is the same as the application provided by the server node. The mother disk directory of the server node is mounted to the mother disk directory of the target server node corresponding to the server node. In this way, the cloud operating system corresponding to the target server node can mount the local target installation directory and obtain the installation information of the application in the mother disk directory of the server node.

For example, as shown in Figure 5, there is a preset corresponding relationship between server node 1, server node 2 and server node 3. Assuming that server node 1 and server node 2 are target server nodes, the mother disk directory of server node 3 can be mounted to the mother disk directory of server node 1 and server node 2 respectively. In this way, server node 1 corresponds to cloud operating system 1 and cloud operating system 2, and server node 1 corresponds to cloud operating system 3 and cloud operating system 4. Based on the mother disk directory of server node 3, the installation information of the application can be obtained, so as to install the application to be launched based on the obtained installation information, wherein the target installation directory of the cloud operating system corresponding to the target server node has a mapping relationship with the mother disk directory of the target server node.

At the same time, server node 2 can also serve as the target server node corresponding to server node 1, that is, the mother disk directory of server node 1 can be mounted to the mother disk directory of server node 2. In this way, cloud operating system 3 and cloud operating system 4 corresponding to server node 2 can obtain the installation information in the mother disk directory of server node 1.

In actual application scenarios, the installation information can be stored in one or more server nodes, so that the corresponding target server nodes can obtain the installation information by static mounting, thereby improving the utilization rate of storage space.

The embodiment of the specification provides a data processing method, which is applied to a server node, obtains the installation information of an application to be launched, and stores the installation information of the application to be launched in the master disk directory of the server node, the master disk directory of the server node is constructed based on the installation information of the application, and the master disk directory of the server node is mounted to the installation directory in the cloud operating system corresponding to the server node, and there is a mapping relationship between the master disk directory of the server node and the installation directory, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the master disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the server node. In this way, multiple cloud operating systems corresponding to the same server node can obtain the installation information by sharing the master disk directory of the service node, without having to store a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space, and the more applications there are, the higher the utilization rate of the storage space. In addition, when receiving a trigger instruction for an application, since the application has been installed in advance in the cloud operating system, the application can be directly started, and there is no need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

Embodiment 5

As shown in FIG6 , an embodiment of the present specification provides a data processing method, the execution subject of the method may be a server, the server may be a server of a data management platform, the server may be an independent server, or a server cluster composed of multiple servers. The method may specifically include the following steps:

In S602, the installation information of the application to be launched is obtained.

In S604, when it is determined that the application to be launched is running normally, the installation information of the application to be launched is sent to the preset server node, so that the preset server node stores the installation information of the application to be launched in the master disk directory.

Among them, there is a mapping relationship between the master disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory and installs the application to be launched in the cloud operating system based on the installation information of the application in the master disk directory.

In implementation, the data management platform may send the installation information of the application to be launched to one or more corresponding preset server nodes based on the type of the application to be launched and when it is determined that the application to be launched is running normally.

In addition, the data management platform can also send the installation information of the application to be launched to the corresponding server node according to the mounting relationship between the server nodes. For example, as shown in FIG5 , assuming that the master disk directory of server node 3 is mounted on the master disk directories of server node 1 and server node 2 respectively, in this way, the data management platform can send the installation information of the application to be launched to the corresponding server node. The application of the line is sent to server node 3, so that the cloud operating systems of server node 1 and server node 2 can share the installation information stored in the mother disk directory of server node 3 by static mounting, wherein there is a mapping relationship between the installation directory of the cloud operating system of server node 1 and the mother disk directory of server node 1.

The embodiment of the specification provides a data processing method, which is applied to a data management platform. By obtaining the installation information of an application to be launched, when it is determined that the application to be launched is running normally, the installation information of the application to be launched is sent to a preset server node, so that the preset server node stores the installation information of the application to be launched in a master disk directory, and there is a mapping relationship between the master disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory, and based on the installation information of the application in the master disk directory, the application to be launched is installed in the cloud operating system. In this way, multiple cloud operating systems corresponding to the same server node can obtain the installation information by sharing the master disk directory of the service node, without the need to store a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space, and the more applications there are, the higher the utilization rate of the storage space. In addition, when a trigger instruction for an application is received, since the application has been installed in advance in the cloud operating system, the application can be directly started, and there is no need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

Embodiment 6

As shown in FIG7 , an embodiment of the present specification provides a data processing method, the execution subject of the method may be a server, the server may be a server of a data management platform, the server may be an independent server, or a server cluster composed of multiple servers. The method may specifically include the following steps:

In S702, the installation information of the application to be launched is sent to the test cloud operating system, so as to determine whether the application to be launched is running normally through the test cloud operating system and the installation information.

During implementation, after receiving the installation information of the application to be launched uploaded by the operation and maintenance personnel, the data management platform can send the installation information to one or more corresponding test cloud operating systems for testing according to the type of the application. The test cloud operating system can be a cloud operating system created under a server node, or it can be an independent cloud operating system used to test the application.

During implementation, if the test cloud operating system is an operating system created under a preset server node, then when it is determined that the application to be launched is running normally, the test cloud operating system can delete the installation information of the application stored locally, and the data management platform can send the installation information of the application to be launched to the preset server node. In this way, multiple cloud operating systems created under the preset server node can scan the application to be launched into the cloud operating system through the mother disk directory.

In S704, an application list is generated based on the installation information of the application to be launched and the mother disk directory of the preset server node, so that the cloud operating system corresponding to the preset server node installs the application to be launched corresponding to the application list in the cloud operating system based on the application list and the installation information of the application in the mother disk directory.

The application list may also include information such as version numbers of the application programs.

In implementation, the data management platform can generate an application list based on the installation information of the application in the master disk directory of the preset server node, as well as the version number of the application and other information. After the cloud operating system corresponding to the preset server node is started, it can cyclically scan all applications according to the information in the application list. In this way, after the cloud operating system scan is completed, the cloud operating system can be allocated to the terminal device for the user to use. That is, when the user clicks to log in to an application, since the cloud operating system has pre-made the application in advance, the user can directly open the application. There is no need to install the application temporarily.

In S706 , a sharing target is created and stored in a preset storage device.

The shared directory can be used to store the running data generated by the application during its running.

During implementation, the shared directory established on the preset storage device can be accessed through the Network Fil System (NFS).

In S708, the shared directory is mounted to a personalized directory of the cloud operating system corresponding to the preset server node.

Among them, the personalized directory can have a mapping relationship with the shared directory, so that the cloud operating system corresponding to the preset server node mounts the personalized directory and reads the operation data generated by the application during the operation based on the shared directory.

In implementation, as shown in FIG. 5 , the shared directory stored in the preset storage device can be mounted to the personalized directories of the cloud operating systems corresponding to multiple preset server nodes, wherein the applications installed in the multiple cloud operating systems are the same. In this way, when multiple cloud operating systems run a certain application, they can mount the local personalized directory and obtain the operating data in the shared directory.

In S710, based on the user identification of the user, the running data generated during the running of the application corresponding to the target user is stored in the shared directory.

In implementation, as shown in FIG5 , assuming that server node 1 receives a startup instruction from user 1 for application 1, server node 1 can distribute the startup instruction to cloud operating system 1, and the data management platform can trigger cloud operating system 1 to store the operation data generated during the application operation process in a shared directory based on the user ID of user 1. Thus, when server node 2 receives a startup instruction from user 1 for application 1, if server node 2 distributes the startup instruction to cloud operating system 3, then the data management platform can trigger cloud operating system 3 to mount a personalized directory based on the user ID of user 1, obtain the operation data corresponding to user 1 in the shared directory, and run the application based on the operation data.

In addition, the operation data stored in the preset storage device can generate a shared directory according to the user identification, user equipment identification, etc.

In S712, an offline instruction for the target application is received.

During implementation, operation and maintenance personnel can operate on the portal to take an application offline so that users cannot access the application. That is, the data management platform can receive offline instructions for the target application, where there can be one or more target applications.

In S714, in response to the offline instruction, the target application is offline processed, and the target running data corresponding to the target application in the shared directory is determined.

In implementation, the target running data corresponding to the target application in the shared directory stored in the preset storage device may be determined based on the identifier of the target application.

In S716, the target operation data is updated based on the preset data update rule.

In implementation, in actual applications, the processing methods of the above S716 can be various. The following provides an optional implementation method, which can be specifically referred to in the following steps 1 to 2:

Step 1: Obtain the generation time of the target running data.

The generation time may be the time when the user triggers the running of the target application through the user equipment to generate the target running data.

Step 2: If the generation time is greater than the preset update time, the target running data is deleted in the shared directory.

In practice, if an application that has been offline is put back online, all user operations need to be restarted, such as logging in. Therefore, in order to prevent the user from having to re-operate after the offline application is put online again, the user's operating data can be temporarily retained, that is, if the generation time of the target operating data of the target application is not greater than the preset update time, the target operating data in the shared directory can be retained, where the update time can be 1 month, 3 months, half a year, etc. In addition, in order to avoid wasting storage space, aging data can also be deleted, that is, if the generation time of the target operating data of the target application is greater than the preset update time, the target operating data can be deleted in the shared directory. That is, the data stored in the shared directory can be aged and deleted through the target data.

Embodiment 7

An embodiment of the present specification provides a data processing system, which includes a cloud operating system, a server node and a data management platform, wherein the data management platform is used to obtain installation information of an application to be launched, and when it is determined that the application to be launched is running normally, the installation information of the application to be launched is sent to a preset server node.

The server node is used to store the installation information of the application to be launched in the master disk directory of the server node, and mount the master disk directory of the server node to the installation directory in the cloud operating system corresponding to the server node. The master disk directory of the server node is constructed based on the installation information of the application.

The cloud operating system is used to receive a startup instruction for the cloud operating system, and in response to the startup instruction, mount the installation directory of the cloud operating system. There is a mapping relationship between the installation directory and the mother disk directory of the server node corresponding to the cloud operating system. Based on the installation information of the application in the mother disk directory, the application corresponding to the installation information is installed in the cloud operating system.

The production of cloud-side application templates can install applications in advance in the cloud operating system to avoid manual installation by users. The production process of application templates is the installation juice of applications. Usually, applications can be installed in the /data/app directory of the cloud operating system. As shown in Figure 8, the purpose of the production of cloud-side application templates is to install applications in the /oem/app directory of the cloud operating system, and to dial the installation information of the application to be launched to the master disk directory /workdir/app of the preset server node through the data management platform. In this way, all cloud operating systems deployed on the preset server node can use the same application template (i.e., installation information) by mounting the master disk directory.

As shown in FIG9 , the preparation of a cloud-side application template may include the following steps:

1. The operation and maintenance personnel upload the installation information of the application to be launched on the portal.

2. As shown in FIG8 , the data management platform sends the installation information to the test cloud operating system for testing, and the application can be installed in the installation directory (i.e., the /oem/app directory) in the cloud operating system.

3. The operation and maintenance personnel enter the test cloud operating system through the dial-up test terminal device, open the installed application, and test whether the application can run normally.

4. If the application can run normally, you can use the data management platform to dial the application in the /oem/app directory of the test cloud operating system to the master disk directory of the corresponding server node (i.e. /workdir/app directory). If the application crashes or other abnormal usage occurs, it means that the application has not met the online standards and needs to be deleted.

5. If the application does not crash or have any abnormal usage, you can enter the online process, that is, you can write the application in the /oem/app directory into the cloud operating system. At this time, the application to be launched is installed in the cloud operating system, and users can use the application through terminal devices.

The /workdir/app/ directory of the server node is a mapping of the /oem/app/ directory mounted inside the cloud operating system to the server node. In this way, all cloud operating systems under the server nodes that have been statically mounted in advance can see the application's master disk directory and scan the application's installation information under the /oem/app directory into the cloud operating system. The cloud operating system can pre-fabricate many applications, and the data management platform can maintain the application list determined by the master disk directory, etc., except for a single application. The online scenario of the application will involve the cloud operating system scanning the mother disk directory. After the cloud operating system is started, it can cyclically scan all online applications according to the application list. In this way, when the user clicks to log in to an application, since the application has been pre-made in the cloud operating system, the user can directly open the application without temporary installation.

In addition, the cloud operating system is also used to receive a startup instruction from a target user for a target application, mount a personalized directory of the cloud operating system in response to the startup instruction, read operating data corresponding to the target user and the target application based on the user ID and shared directory of the target user, and run the target application based on the operating data corresponding to the target user, wherein the target application is an application installed by the cloud operating system based on the installation information, and there is a mapping relationship between the personalized directory and the shared directory, and the shared directory is used to store operating data generated by the application during its operation.

As shown in Figure 9, when the application is started, the cloud operating system can create a personalized directory (i.e., the /appdata/ directory) to store the running data generated by the application during its operation. By prefabricating the personalized directory to the network file system, all cloud operations under the same server node can share the running data in the shared directory.

When a user clicks on a page on a terminal device, the terminal device will allocate an idle cloud operating system. The terminal device can establish a connection with the cloud operating system. The cloud operating system can receive a unique user identifier (such as userid) generated on the terminal device. Before running the application, the cloud operating system can create a personalized directory corresponding to the user based on the userid. The personalized data of all applications (i.e., the running data generated during the running of the application) can be stored in /appdata/. In order to distinguish different userids and save the personalized data of different users logging into the application, finally, the directory of the running data corresponding to the user under the personalized directory can be /appdata/userid/data/user/0/. As shown in FIG9 , a summary corresponding to the running data corresponding to the user can be generated based on a preset summary generation algorithm, and a personalized directory is generated based on the summary. In this way, the personalized directory can be created when the user logs in for the first time. When it is not the first time to log in, the application can directly read the running data under the personalized directory when it is running, so that different users can obtain their own independent running data when accessing different cloud operating systems, avoiding the problem of long access time caused by the dynamic mounting method and improving data processing efficiency.

The embodiment of the present specification provides a data processing system, which includes a cloud operating system, a server node and a data management platform, wherein the data management platform can be used to obtain the installation information of the application to be launched, and when it is determined that the application to be launched is running normally, the installation information of the application to be launched is sent to the preset server node. The server node can be used to store the installation information of the application to be launched in the master disk directory of the server node, and mount the master disk directory of the server node to the installation directory in the cloud operating system corresponding to the server node. The cloud operating system can be used to receive a startup instruction for the cloud operating system, and in response to the startup instruction, mount the installation directory of the cloud operating system, and there is a mapping relationship between the installation directory and the master disk directory of the server node corresponding to the cloud operating system. Based on the installation information of the application in the master disk directory, the application corresponding to the installation information is installed in the cloud operating system. Multiple cloud operating systems corresponding to the same server node can obtain installation information by sharing the mother disk directory of the service node, without storing a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space. The more applications there are, the higher the utilization rate of the storage space. In addition, when a trigger instruction for an application is received, since the application has been installed in the cloud operating system in advance, the application can be started directly without the need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

Embodiment 8

The above is the data processing method provided in the embodiment of this specification. Based on the same idea, the embodiment of this specification also provides a data processing device, as shown in FIG10 .

The data processing device includes: a first receiving module 1001, a first mounting module 1002 and a program installation module 1003, wherein: the first receiving module 1001 is used to receive a startup instruction for the cloud operating system; the first mounting module 1002 is used to mount the installation directory of the cloud operating system in response to the startup instruction, and there is a mapping relationship between the installation directory and the mother disk directory of the server node corresponding to the cloud operating system; the program installation module 1003 is used to install the application corresponding to the installation information in the cloud operating system based on the installation information of the application in the mother disk directory.

In the embodiment of this specification, the device further includes: a second receiving module, configured to receive a target user's request for a target application. The target application is an application that is installed by the cloud operating system based on the installation information; a second mounting module is used to mount a personalized directory of the cloud operating system in response to the startup instruction, and there is a mapping relationship between the personalized directory and the shared directory, and the shared directory is used to store running data generated by the application during its running; an running module is used to read the running data corresponding to the target user and the target application based on the user identifier of the target user and the shared directory, and run the target application based on the running data corresponding to the target user and the target application.

Based on the same idea, the embodiment of this specification also provides a data processing device, as shown in FIG11 .

The data processing device includes: an information acquisition module 1101 and a first mounting module 1102, wherein: the information acquisition module 1101 is used to obtain the installation information of the application to be launched, and store the installation information of the application to be launched in the master disk directory of the server node, the master disk directory of the server node is constructed based on the installation information of the application; the first mounting module 1102 is used to mount the master disk directory of the server node to the installation directory in the cloud operating system corresponding to the server node, and there is a mapping relationship between the master disk directory of the server node and the installation directory, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the master disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the server node.

In an embodiment of the present specification, the device also includes: a second mounting module, used to mount the mother disk directory of the server node to the mother disk directory of the target server node corresponding to the server node, and there is a mapping relationship between the mother disk directory of the server node and the mother disk directory of the target server node, so that the cloud operating system corresponding to the target server node mounts the target installation directory that has a mapping relationship with the mother disk directory of the target server node, and based on the installation information of the application in the mother disk directory of the server node, installs the application to be launched in the cloud operating system corresponding to the target server node.

Based on the same idea, the embodiment of this specification also provides a data processing device, as shown in FIG12 .

The data processing device includes: an information acquisition module 1201 and a first sending module 1202, wherein:

The information acquisition module 1201 is used to obtain the installation information of the application to be launched. The first sending module 1202 is used to send the installation information of the application to be launched to the preset server node when it is determined that the application to be launched is running normally, so that the preset server node stores the installation information of the application to be launched in the mother disk directory, and there is a mapping relationship between the mother disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory, and installs the application to be launched in the cloud operating system based on the installation information of the application in the mother disk directory.

In an embodiment of the present specification, the device further includes: a second sending module, used to send the installation information of the application to be launched to the test cloud operating system, so as to determine whether the application to be launched is running normally through the test cloud operating system and the installation information.

In an embodiment of the present specification, the device also includes: a generation module, which is used to generate an application list based on the installation information of the application to be launched and the mother disk directory of the preset server node, so that the cloud operating system corresponding to the preset server node installs the application to be launched corresponding to the application list in the cloud operating system based on the application list and the installation information of the application in the mother disk directory.

In an embodiment of the present specification, the device also includes: an establishment module, used to establish a shared directory and store it in a preset storage device, wherein the shared directory is used to store operating data generated by the application during its operation; a mounting module, used to mount the shared directory to a personalized directory of the cloud operating system corresponding to the preset server node, and there is a mapping relationship between the personalized directory and the shared directory, so that the cloud operating system corresponding to the preset server node mounts the personalized directory and reads the operating data generated by the application during its operation based on the shared directory.

In the embodiment of the present specification, the device further includes: a storage module, which is used to store the operation data generated during the operation of the application corresponding to the target user in the shared directory based on the user identification of the user.

In the embodiment of the present specification, the device further includes: a receiving module for receiving an offline instruction for a target application; a processing module for performing offline processing on the target application in response to the offline instruction, and determining The target operation data corresponding to the target application in the shared directory; an update module, used to update the target operation data based on a preset data update rule.

In the embodiment of the present specification, the update module is used to: obtain the generation time of the target operation data; if the generation time is greater than the preset update duration, delete the target operation data in the shared directory.

The embodiments of the present specification provide a data processing device, and multiple cloud operating systems corresponding to the same server node can obtain installation information by sharing the mother disk directory of the service node, without storing a copy of the installation information in each cloud operating system, thereby reducing the waste of storage space. The more applications there are, the higher the utilization rate of the storage space. In addition, when a trigger instruction for an application is received, since the application has been installed in advance in the cloud operating system, the application can be directly started without the need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

Embodiment 9

Based on the same idea, the embodiment of this specification also provides a data processing device, as shown in FIG13 .

The data processing device may have relatively large differences due to different configurations or performances, and may include one or more processors 1301 and memory 1302, and the memory 1302 may store one or more storage applications or data. Among them, the memory 1302 may be a temporary storage or a permanent storage. The application stored in the memory 1302 may include one or more modules (not shown in the figure), and each module may include a series of computer executable instructions in the data processing device. Furthermore, the processor 1301 may be configured to communicate with the memory 1302 to execute a series of computer executable instructions in the memory 1302 on the data processing device. The data processing device may also include one or more power supplies 1303, one or more wired or wireless network interfaces 1304, one or more input and output interfaces 1305, and one or more keyboards 1306.

Specifically in this embodiment, the data processing device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer executable instructions for the data processing device, and the one or more programs are configured to be executed by one or more processors, including computer executable instructions for performing the following: receiving a startup instruction for the data processing device; in response to the startup instruction, mounting an installation directory of the data processing device, wherein the installation directory has a mapping relationship with the master disk directory of the server node corresponding to the data processing device; based on the installation information of the application in the master disk directory, installing the application corresponding to the installation information in the data processing device.

Optionally, the method also includes: receiving a startup instruction from a target user for a target application, the target application being an application installed by the data processing device based on the installation information; in response to the startup instruction, mounting a personalized directory of the data processing device, the personalized directory having a mapping relationship with a shared directory, the shared directory being used to store running data generated by the application during its running; based on the user identifier of the target user and the shared directory, reading the running data corresponding to the target user and the target application, and running the target application based on the running data corresponding to the target user and the target application.

In addition, the one or more programs configured to be executed by one or more processors also include the following computer executable instructions: obtaining installation information of the application to be launched, and storing the installation information of the application to be launched in the master disk directory of the server node, the master disk directory of the server node being constructed based on the installation information of the application; mounting the master disk directory of the server node to the installation directory in the cloud operating system corresponding to the server node, the master disk directory of the server node and the installation directory having a mapping relationship so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the master disk directory of the server node, installs the application to be launched in the cloud operating system corresponding to the server node.

Optionally, the method further comprises: mounting the master disk directory of the server node to the master disk directory of the target server node corresponding to the server node, wherein the master disk directory of the server node and the master disk directory of the target server node have a mapping relationship, so that the cloud operating system corresponding to the target server node mounts the master disk directory corresponding to the target server node. The target installation directory has a mapping relationship between the master disk directories of the server nodes, and based on the installation information of the application in the master disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the target server node.

In addition, the one or more programs are configured to be executed by one or more processors and also include computer executable instructions for performing the following: obtaining installation information of the application to be launched; when it is determined that the application to be launched is running normally, sending the installation information of the application to be launched to a preset server node, so that the preset server node stores the installation information of the application to be launched in a mother disk directory, and there is a mapping relationship between the mother disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory, and based on the installation information of the application in the mother disk directory, installs the application to be launched in the cloud operating system.

Optionally, when it is determined that the application to be launched is running normally, before sending the installation information of the application to be launched to the preset server node, it also includes: sending the installation information of the application to be launched to the test cloud operating system, so as to determine whether the application to be launched is running normally through the test cloud operating system and the installation information.

Optionally, the method also includes: generating an application list based on the installation information of the application to be launched and the mother disk directory of the preset server node, so that the cloud operating system corresponding to the preset server node installs the application to be launched corresponding to the application list in the cloud operating system based on the application list and the installation information of the application in the mother disk directory.

Optionally, the method also includes: establishing a shared directory and storing it in a preset storage device, wherein the shared directory is used to store running data generated by the application during its operation; mounting the shared directory to a personalized directory of the cloud operating system corresponding to the preset server node, and there is a mapping relationship between the personalized directory and the shared directory, so that the cloud operating system corresponding to the preset server node mounts the personalized directory and reads the running data generated by the application during its operation based on the shared directory of the storage device.

Optionally, the method further includes: based on a user identifier of the user, storing operation data generated during the operation of the application corresponding to the target user in the shared directory.

Optionally, the method further includes: receiving an offline instruction for a target application; in response to the offline instruction, performing offline processing on the target application, and determining target operating data corresponding to the target application in the shared directory; and updating the target operating data based on preset data update rules.

Optionally, the updating process of the target operation data based on preset data updating rules includes: obtaining the generation time of the target operation data; if the generation time is greater than a preset update duration, deleting the target operation data in the shared directory.

Embodiment 10

The embodiments of this specification also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned data processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

The embodiment of the present specification provides a computer-readable storage medium, and multiple cloud operating systems corresponding to the same server node can obtain installation information by sharing the mother disk directory of the service node, without having to install the installation information in each cloud operating system. A copy of the installation information is stored in the cloud operating system, which reduces the waste of storage space. The more applications there are, the higher the utilization rate of the storage space. In addition, when a trigger instruction for an application is received, since the application has been installed in the cloud operating system in advance, the application can be started directly without the need to temporarily install the application in the cloud operating system, thereby improving data processing efficiency.

The above is a description of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

In the 1990s, it was very clear whether the improvement of a technology was hardware improvement (for example, improvement of the circuit structure of diodes, transistors, switches, etc.) or software improvement (improvement of the method flow). However, with the development of technology, many improvements of the method flow today can be regarded as direct improvements of the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be implemented with a hardware entity module. For example, a programmable logic device (PLD) (such as a field programmable gate array (FPGA)) is such an integrated circuit whose logical function is determined by the user's programming of the device. Designers can "integrate" a digital system on a PLD by programming themselves, without having to ask chip manufacturers to design and make dedicated integrated circuit chips. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly implemented by "logic compiler" software, which is similar to the software compiler used when developing programs. The original code before compilation must also be written in a specific programming language, which is called Hardware Description Language (HDL). There is not only one kind of HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., and the most commonly used ones are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also know that it is only necessary to program the method flow slightly in the above-mentioned hardware description languages and program it into the integrated circuit, and then it is easy to obtain the hardware circuit that realizes the logic method flow.

The controller may be implemented in any suitable manner, for example, the controller may take the form of a microprocessor or processor and a computer readable medium storing a computer readable program code (e.g., software or firmware) executable by the (micro)processor, a logic gate, a switch, an application specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, and the memory controller may also be implemented as part of the control logic of the memory. It is also known to those skilled in the art that in addition to implementing the controller in a purely computer readable program code manner, the controller may be implemented in the form of a logic gate, a switch, an application specific integrated circuit, a programmable logic controller, and an embedded microcontroller by logically programming the method steps. Therefore, such a controller may be considered as a hardware component, and the means for implementing various functions included therein may also be considered as a structure within the hardware component. Or even, the means for implementing various functions may be considered as both a software module for implementing the method and a structure within the hardware component.

The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For the convenience of description, the above device is described in various units according to their functions. When describing one or more embodiments, the functions of each unit may be implemented in one or more software and/or hardware.

Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, one or more embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, one or more embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

The embodiments of this specification are described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

In a typical configuration, a computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined in this article, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

It should be understood by those skilled in the art that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, one or more embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, one or more embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

One or more embodiments of the present specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. One or more embodiments of the present specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

The above description is only an embodiment of the present specification and is not intended to limit the present specification. For those skilled in the art, the present specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification shall be included in the scope of the claims of the present specification.

Claims

A data processing method, the method being applied to a cloud operating system, the method comprising:

Receiving a startup instruction for the cloud operating system;

In response to the startup instruction, the installation directory of the cloud operating system is mounted, and a mapping relationship is formed between the installation directory and the mother disk directory of the server node corresponding to the cloud operating system;

Based on the installation information of the application in the master disk directory, the application corresponding to the installation information is installed in the cloud operating system.
The method according to claim 1, further comprising:

receiving a start instruction from a target user for a target application, wherein the target application is an application that has been installed by the cloud operating system based on the installation information;

In response to the startup instruction, a personalized directory of the cloud operating system is mounted, wherein a mapping relationship exists between the personalized directory and a shared directory, and the shared directory is used to store operation data generated during the operation of the application program;

Based on the user identification of the target user and the shared directory, the operating data corresponding to the target user and the target application is read, and based on the operating data corresponding to the target user and the target application, the target application is run.
A data processing method, the method being applied to a server node, the method comprising:

Acquire installation information of the application to be launched, and store the installation information of the application to be launched in a master disk directory of the server node, where the master disk directory of the server node is constructed based on the installation information of the application;

The mother disk directory of the server node is mounted to the installation directory in the cloud operating system corresponding to the server node. There is a mapping relationship between the mother disk directory of the server node and the installation directory, so that the cloud operating system corresponding to the server node mounts the installation directory, and based on the installation information of the application in the mother disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the server node.
The method according to claim 3, further comprising:

The mother disk directory of the server node is mounted to the mother disk directory of the target server node corresponding to the server node, and a mapping relationship exists between the mother disk directory of the server node and the mother disk directory of the target server node, so that the cloud operating system corresponding to the target server node mounts the target installation directory having a mapping relationship with the mother disk directory of the target server node, and based on the installation information of the application in the mother disk directory of the server node, the application to be launched is installed in the cloud operating system corresponding to the target server node.
A data processing method, the method being applied to a data management platform, the method comprising:

Get the installation information of the application to be launched;

When it is determined that the application to be launched is running normally, the installation information of the application to be launched is sent to the preset server node, so that the preset server node stores the installation information of the application to be launched in the master disk directory, and there is a mapping relationship between the master disk directory and the installation directory of the cloud operating system corresponding to the preset server node, so that the cloud operating system mounts the installation directory, and installs the application to be launched in the cloud operating system based on the installation information of the application in the master disk directory.
The method according to claim 5, before sending the installation information of the application to be launched to a preset server node when it is determined that the application to be launched is running normally, further comprises:

The installation information of the application to be launched is sent to the test cloud operating system, so as to determine whether the application to be launched is running normally through the test cloud operating system and the installation information.
The method according to claim 6, further comprising:

Based on the installation information of the application to be launched and the master disk directory of the preset server node, an application list is generated, so that the cloud operating system corresponding to the preset server node installs the application to be launched corresponding to the application list in the cloud operating system based on the application list and the installation information of the application in the master disk directory. sequence.
The method according to claim 5, further comprising:

Establishing a shared directory and storing it in a preset storage device, wherein the shared directory is used to store operation data generated during the operation of the application;

The shared directory is mounted to the personalized directory of the cloud operating system corresponding to the preset server node, and there is a mapping relationship between the personalized directory and the shared directory, so that the cloud operating system corresponding to the preset server node mounts the personalized directory and reads the operation data generated by the application during the operation process based on the shared directory.
The method according to claim 8, further comprising:

Based on the user identification of the user, the running data generated during the running of the application corresponding to the target user is stored in the shared directory.
The method according to claim 9, further comprising:

Receiving offline instructions for the target application;

In response to the offline instruction, offline processing is performed on the target application, and target running data corresponding to the target application in the preset shared directory is determined;

Based on preset data update rules, the target operation data is updated.
According to the method of claim 10, the updating of the target operation data based on a preset data update rule comprises:

Obtaining the generation time of the target operation data;

If the generation time is greater than the preset update time, the target operation data is deleted in the shared directory.
A data processing device, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the data processing method according to any one of claims 1 to 11 are implemented.
A readable storage medium, wherein the readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the data processing method according to any one of claims 1 to 11 are implemented.