CN117992074A

CN117992074A - Data processing method, apparatus and storage medium

Info

Publication number: CN117992074A
Application number: CN202211385626.XA
Authority: CN
Inventors: 杜志红
Original assignee: ZTE Corp
Current assignee: ZTE Corp
Priority date: 2022-11-07
Filing date: 2022-11-07
Publication date: 2024-05-07
Also published as: WO2024099274A1

Abstract

The application discloses a data processing method, a data processing device, a terminal and a storage medium, and belongs to the field of communication. The data processing method of the embodiment of the application comprises the following steps: receiving a starting instruction aiming at the cloud operating system; responding to the starting instruction, mounting an installation directory of the cloud operating system, wherein a mapping relation is arranged between the installation directory and a master directory of a server node corresponding to the cloud operating system; and installing the application program corresponding to the installation information in the cloud operating system based on the installation information of the application program in the master catalog.

Description

Data processing method, apparatus and storage medium

Technical Field

Embodiments of the present application relate to the field of communications, and in particular, to a data processing method, apparatus, and storage medium.

Background

With rapid development of computer technology, cloud operating systems are deployed in a large scale, and compared with traditional physical devices (such as mobile phones and tablet computers), cloud operating systems have better physical properties. The cloud operating system stores the installation data of all online application programs, and after receiving a starting instruction of a user for a certain application program, the cloud operating system can directly run the application program.

However, since multiple cloud operating systems can be created under the same server, each cloud operating system needs to store installation data of one application program, so that multiple installation data need to be stored for the same application program in the same server, which causes waste of storage space, and therefore, a solution for improving the storage space utilization rate of the cloud operating systems is needed.

Disclosure of Invention

The embodiment of the application provides a data processing method, data processing equipment and a storage medium, and provides a solution for improving the storage space utilization rate of a cloud operating system.

In a first aspect, a data processing method is provided, the method is applied to a cloud operating system, and the method includes: receiving a starting instruction aiming at the cloud operating system; responding to the starting instruction, mounting an installation directory of the cloud operating system, wherein a mapping relation is arranged between the installation directory and a master directory of a server node corresponding to the cloud operating system; and installing the application program corresponding to the installation information in the cloud operating system based on the installation information of the application program in the master catalog.

In a second aspect, there is provided a data processing method, the method being applied to a server node, the method comprising: acquiring installation information of an application program to be online, and storing the installation information of the application program to be online in a master disc directory of the server node, wherein the master disc directory of the server node is constructed based on the installation information of the application program; and mounting the master disc catalog of the server node to an installation catalog in a cloud operation system corresponding to the server node, wherein a mapping relation is arranged between the master disc catalog of the server node and the installation catalog so that the cloud operation system corresponding to the server node mounts the installation catalog, and the application program to be online is mounted in the cloud operation system corresponding to the server node based on the installation information of the application program in the master disc catalog of the server node.

In a third aspect, a data processing method is provided, the method being applied to a data management platform, the method comprising: acquiring installation information of an application program to be online; under the condition that the application program to be online normally operates is determined, the installation information of the application program to be online is sent to a preset server node, so that the preset server node stores the installation information of the application program to be online in a master disc directory, and a mapping relation is arranged between the master disc directory and an installation directory of a cloud operating system corresponding to the preset server node, so that the cloud operating system installs the installation directory, and the cloud operating system installs the application program to be online in the cloud operating system based on the installation information of the application program in the master disc directory.

In a fourth aspect, there is provided a data processing apparatus comprising a processor and a memory storing a program or instructions executable on the processor, the program or instructions when executed by the processor implementing the steps of the data processing method as described in the first aspect, or implementing the steps of the data processing method as described in the second aspect, or implementing the steps of the data processing method as described in the third aspect.

In a fifth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, implement the steps of the data processing method as described in the first aspect, or implement the steps of the data processing method as described in the second aspect, or implement the steps of the data processing method as described in the third aspect.

At least one technical scheme adopted by the embodiment of the application comprises the following steps:

Receiving a starting instruction aiming at the cloud operating system, mounting an installation catalog of the cloud operating system in response to the starting instruction, wherein the installation catalog and a master catalog of a server node corresponding to the cloud operating system have a mapping relation, and based on the installation information of the application program in the master catalog, installing the application program corresponding to the installation information in the cloud operating system.

The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects:

The installation catalog of the cloud operating system is installed, the installation information of the application program in the master catalog of the server node is obtained to install the application program in the cloud operating system, so that a plurality of cloud operating systems corresponding to the same server node can obtain the installation information in a mode of sharing the master catalog of the service node, one part of installation information is not needed to be stored in each cloud operating system, the waste of storage space is reduced, the utilization rate of the storage space is higher as the number of the application programs is increased, and in addition, when a trigger instruction for the application program is received, the application program is already installed in advance in the cloud operating system, and therefore the application program can be directly started, the application program does not need to be temporarily installed in the cloud operating system, and the data processing efficiency is improved.

Drawings

FIG. 1 is a schematic flow chart of a data processing method according to one embodiment of the application;

FIG. 2 is a schematic flow chart of another data processing method according to one embodiment of the application;

FIG. 3 is a schematic flow chart of another data processing method according to one embodiment of the application;

FIG. 4 is a schematic flow chart diagram of another data processing method according to one embodiment of the application;

FIG. 5 is a schematic diagram of a data processing method according to one embodiment of the application;

FIG. 6 is a schematic flow chart diagram of another data processing method in accordance with one embodiment of the present application;

FIG. 7 is a schematic flow chart diagram of another data processing method in accordance with one embodiment of the present application;

FIG. 8 is a schematic diagram of another data processing method according to one embodiment of the application;

FIG. 9 is a schematic diagram of a data processing apparatus according to one embodiment of the present application;

FIG. 10 is a schematic diagram of another data processing apparatus according to an embodiment of the present application;

FIG. 11 is a schematic diagram of another data processing apparatus according to an embodiment of the present application;

FIG. 12 is a schematic diagram of another data processing apparatus according to an embodiment of the present application;

fig. 13 is a schematic structural view of a data processing apparatus according to an embodiment of the present application.

Detailed Description

The embodiment of the specification provides a data processing method, a data processing device and a storage medium.

In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.

The inventive concept of the present application is as follows: with rapid development of computer technology, cloud operating systems are deployed in a large scale, and compared with traditional physical devices (such as mobile phones and tablet computers), cloud operating systems have better physical properties. The cloud operating system stores the installation data of all online application programs, and after receiving a starting instruction of a user for a certain application program, the cloud operating system can directly run the application program. However, since multiple cloud operating systems can be created under the same server, each cloud operating system needs to store installation data of one application program, so that multiple installation data need to be stored for the same application program in the same server, which causes waste of storage space, and therefore, a solution for improving the storage space utilization rate of the cloud operating systems is needed. For this reason, the embodiments of the present specification provide a technical solution that can solve the above-mentioned problems, and specifically, reference may be made to the following.

Example 1

As shown in fig. 1, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server, and the server may be a server corresponding to a cloud operating system, and the server may be an independent server or a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

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

The server node may create a plurality of cloud operating systems, and the cloud operating systems may be any one or more operating systems in the server node.

In implementation, the cloud operating system can create cores and central processing units (Central Processing Unit, CPUs) with different configurations according to the running environment required by the application program, and compared with physical devices such as mobile phones, tablet computers and the like, the cloud operating system can enable running of the application program not to be affected by physical properties. In addition, on the physical equipment, a user installs a certain application program, the application program needs to be downloaded and installed on the application market manually, and in the cloud operating system, the manual operation of the user is not needed, and the cloud operating system can automatically access different application programs, so that more audiovisual contents are brought to the user. The cloud operating system installs the application program, so that the storage space of the physical equipment of the user can be saved, and more rich content and audiovisual experience can be brought to the user without excessive operations of the user. The application program is actually installed in the cloud operating system, and runs in the cloud operating system, so that different user login application programs can be distributed to the same cloud operating system successively, and the same user login application program can be distributed to different cloud operations. Therefore, to ensure the user experience, the server node may install one or more online application programs in the cloud operating system, and the server node may send a start instruction to the plurality of cloud operating systems, that is, the cloud operating system may receive the start instruction sent by the server node.

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

The installation directory and the master directory of the server node corresponding to the cloud operating system have a mapping relation.

In implementation, the master catalog of the server node corresponding to the cloud operating system may store installation information of one or more applications to be online, and the server node may mount the master catalog to one or more cloud operating systems corresponding to the server node, so that after receiving a start instruction, the cloud operating system may obtain the installation information of the applications stored in the master catalog through the installation catalog that is statically mounted in advance.

In S106, an application corresponding to the installation information is installed in the cloud operating system based on the installation information of the application in the master catalog.

In implementation, because the installation catalogue and the operation catalogue of the application in the cloud operating systems are different, if different application identifiers (such as uids) are allocated to the same application program, due to the permission problem, the same user can enter the operation data generated by a certain cloud operating system, and the problem that the operation of the application program is abnormal due to the fact that the operation data generated by the user entering the application program last time cannot be read is caused, so that the cloud operating system allocates the same application identifier when scanning the application program (namely registering the installation application program), and the operation data generated when the same user operates before accessing the application program can be read when accessing different cloud operating systems.

Therefore, the plurality of cloud operating systems created under the server node can locally install the application program in a mode of sharing the master disc catalog of the server node, and installation information of one application program does not need to be stored in each cloud operating system, so that waste of storage space is reduced, and space utilization rate is improved.

The embodiment of the specification provides a data processing method, which is applied to a cloud operating system, and is used for installing an installation catalog of the cloud operating system in response to a starting instruction by receiving the starting instruction for the cloud operating system, wherein the installation catalog has a mapping relation with a master catalog of a server node corresponding to the cloud operating system, and an application program corresponding to the installation information is installed in the cloud operating system based on the installation information of the application program in the master catalog. In this way, the plurality of cloud operating systems corresponding to the same server node can acquire the installation information by sharing the master disk catalog of the service node, without storing one piece of installation information in each cloud operating system, the waste of storage space is reduced, the more the number of application programs is, the higher the utilization rate of the storage space is, in addition, when a trigger instruction for the application program is received, the application program is already installed in the cloud operating system in advance, so that the application program can be directly started, the application program does not need to be temporarily installed in the cloud operating system, and the data processing efficiency is improved.

Example two

As shown in fig. 2, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server, and the server may be a server of a cloud operating system, and the server may be an independent server or a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

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

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

The target application program can be an application program which is installed by the cloud operating system based on the installation information.

In implementation, the user may trigger to start the target application program in the terminal device, and the server node may determine a cloud operating system for processing the target application program according to the running state of the cloud operating system, that is, the cloud operating system may receive a start instruction of the target user for the target application program.

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

The personalized directory may have a mapping relationship with a shared directory, where the shared directory may be used to store operation data generated in an application program in an operation process, and the shared directory may be stored in a preset storage device, where the storage device may be a server, and the server may be an independent server or a server cluster formed by multiple servers.

In implementation, when an application program runs, running data (including operation data, response data, personalized data and the like of a user) may be generated, and after receiving a starting instruction of a target user for the target application program, the cloud operating system may provide relevant services for the target user according to the previous running data.

If each cloud operating system of the server node stores one piece of operation data for each user and each application program, the waste of storage space is caused, and by mounting the shared directory stored by the preset storage device to the personalized directory of the cloud operating system, the cloud operating system can read the operation data stored in the shared directory by statically hanging the cloud operating system in advance in the personalized directory, and no additional processing is needed for the operation data locally.

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

In an implementation, when a closing instruction of a target user for a target application program is received, a process of the target application program exits, a cloud operating system and terminal equipment of the target user are disconnected, operation data (such as a login account number of the user, order information and the like) can be stored in a shared directory based on a user identification of the target user, and the cloud operating system does not need to perform additional processing on the operation data generated by the target application program in the operation process.

Because 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, after receiving the starting instruction of the target user for the target application program again, the personalized directory of the cloud operating system can be mounted, based on the user identification of the target user and the shared directory, the running data corresponding to the target user and the target application program are read, and based on the running data corresponding to the target user and the target application program, the target application program is run. Therefore, the cloud operating system does not need to store one piece of operation data for each user and application program, so that the storage space is saved, and the space utilization rate is improved.

Example III

As shown in fig. 3, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server node, and the server node may be an independent server or may be a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

In S302, installation information of an application to be online is acquired, and the installation information of the application to be online is stored in a master catalog of a server node.

The application program to be online can be any one or more application programs which can be operated by the cloud operating system, and the master catalog of the server node can be constructed based on the installation information of the application program.

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

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

The cloud operating system corresponding to the server node is provided with a mapping relation between a master disk directory and an installation directory, so that the installation directory is installed on the cloud operating system corresponding to the server node, and an application program to be online is installed in the cloud operating system corresponding to the server node based on the installation information of the application program in the master disk directory.

In implementation, a plurality of cloud operating systems can be created under the server node, and the server node stores the installation information of the application program to be online in the master disk directory, so that the plurality of cloud operating systems corresponding to the server node can acquire the installation information of the application program in the master disk directory of the server node through the static mounted installation directory, one part of installation information is not required to be stored in each cloud operating system, and the waste of storage space is reduced.

The embodiment of the specification provides a data processing method, which is applied to a server node, by acquiring installation information of an application program to be online, storing the installation information of the application program to be online in a master disk directory of the server node, constructing the master disk directory of the server node based on the installation information of the application program, mounting the master disk directory of the server node to an installation directory in a cloud operating system corresponding to the server node, and having a mapping relation 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 installing the application program to be online in the cloud operating system corresponding to the server node based on the installation information of the application program in the master disk directory of the server node. In this way, the plurality of cloud operating systems corresponding to the same server node can acquire the installation information by sharing the master disk catalog of the service node, without storing one piece of installation information in each cloud operating system, the waste of storage space is reduced, the more the number of application programs is, the higher the utilization rate of the storage space is, in addition, when a trigger instruction for the application program is received, the application program is already installed in the cloud operating system in advance, so that the application program can be directly started, the application program does not need to be temporarily installed in the cloud operating system, and the data processing efficiency is improved.

Example IV

As shown in fig. 4, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server node, and the server node may be an independent server or may be a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

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

The cloud operating system corresponding to the target server node is installed with a target installation directory having a mapping relation with the master disk directory of the target server node, and the application program to be online is installed in the cloud operating system corresponding to the target server node based on the installation information of the application program in the master disk directory of the server node.

In an implementation, the target server node may be a server node having a preset correspondence relationship with the server node, for example, the target server node is the same as an application program provided by the server node, and a master disk directory of the server node is mounted in a master disk directory of the target server node corresponding to the server node, so that a cloud operating system corresponding to the target server node can mount a local target installation directory, and obtain installation information of the application program in the master disk directory of the server node.

For example, as shown in fig. 5, a preset correspondence is provided among the server node 1, the server node 2 and the server node 3, and assuming that the server node 1 and the server node 2 are target server nodes, the master directories of the server node 3 may be respectively mounted to the master directories of the server node 1 and the server node 2, so that the server node 1 corresponds to the cloud operating system 1 and the cloud operating system 2, and the server node 1 corresponds to the cloud operating system 3 and the cloud operating system 4, the installation information of the application program may be acquired based on the master directories of the server node 3, so that the application program to be online is installed based on the acquired installation information, where the target installation directory of the cloud operating system corresponding to the target server node has a mapping relationship with the master directory of the target server node.

Meanwhile, the server node 2 can also be used as a target server node corresponding to the server node 1, namely, the master disk directory of the server node 1 can be mounted to the master disk directory of the server node 2, so that the cloud operating system 3 and the cloud operating system 4 corresponding to the server node 2 can acquire the mounting information in the master disk directory of the server node 1.

In an actual application scene, the installation information can be stored in one or more server nodes, so that the corresponding target server node can acquire the installation information in a static mounting mode, and the effect of improving the utilization rate of the storage space is achieved.

The embodiment of the specification provides a data processing method, which is applied to a server node, acquires installation information of an application program to be online, stores the installation information of the application program to be online in a master disk directory of the server node, constructs the master disk directory of the server node based on the installation information of the application program, installs the master disk directory of the server node to an installation directory in a cloud operating system corresponding to the server node, has a mapping relation between the master disk directory of the server node and the installation directory, enables the cloud operating system corresponding to the server node to install the installation directory, and installs the application program to be online in the cloud operating system corresponding to the server node based on the installation information of the application program in the master disk directory of the server node. In this way, the plurality of cloud operating systems corresponding to the same server node can acquire the installation information by sharing the master disk catalog of the service node, without storing one piece of installation information in each cloud operating system, the waste of storage space is reduced, the more the number of application programs is, the higher the utilization rate of the storage space is, in addition, when a trigger instruction for the application program is received, the application program is already installed in the cloud operating system in advance, so that the application program can be directly started, the application program does not need to be temporarily installed in the cloud operating system, and the data processing efficiency is improved.

Example five

As shown in fig. 6, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server, and the server may be a server of a data management platform, and the server may be an independent server or a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

In S602, installation information of an application to be online is acquired.

In S604, under the condition that it is determined that the application to be online normally operates, the installation information of the application to be online is sent to the preset server node, so that the preset server node stores the installation information of the application to be online in the master catalog.

The cloud operating system comprises a master disk directory, a cloud operating system and a cloud operating system, wherein the master disk directory and an installation directory of the cloud operating system corresponding to a preset server node are in a mapping relation, so that the cloud operating system installs the installation directory, and an application program to be online is installed in the cloud operating system based on the installation information of the application program in the master disk directory.

In an implementation, the data management platform may send the installation information of the application to be online to the corresponding one or more preset server nodes according to the type of the application to be online under the condition that the application to be online is determined to normally operate.

In addition, the data management platform may send the installation information of the application program to be online to the corresponding server node according to the installation relationship between the server nodes, for example, as shown in fig. 5, assuming that the master disk directories of the server node 3 are respectively installed on the master disk directories of the server node 1 and the server node 2, so that the data management platform may send the application program to be online to the server node 3, and thus, the cloud operating systems of the server node 1 and the server node 2 may share the installation information stored in the master disk directories of the server node 3 in a static installation manner, where the installation directory of the cloud operating system of the server node 1 has a mapping relationship with the master disk directory of the server node 1.

The embodiment of the specification provides a data processing method, which is applied to a data management platform, by acquiring installation information of an application program to be online, under the condition that the normal operation of the application program to be online is determined, the installation information of the application program to be online is sent to a preset server node, so that the preset server node stores the installation information of the application program to be online in a master disk directory, a mapping relation is provided between the master disk directory and an installation directory of a cloud operating system corresponding to the preset server node, so that the cloud operating system installs the installation directory, and the application program to be online is installed in the cloud operating system based on the installation information of the application program in the master disk directory. In this way, the plurality of cloud operating systems corresponding to the same server node can acquire the installation information by sharing the master disk catalog of the service node, without storing one piece of installation information in each cloud operating system, the waste of storage space is reduced, the more the number of application programs is, the higher the utilization rate of the storage space is, in addition, when a trigger instruction for the application program is received, the application program is already installed in the cloud operating system in advance, so that the application program can be directly started, the application program does not need to be temporarily installed in the cloud operating system, and the data processing efficiency is improved.

Example six

As shown in fig. 7, the embodiment of the present disclosure provides a data processing method, where an execution body of the method may be a server, and the server may be a server of a data management platform, and the server may be an independent server or a server cluster formed by a plurality of servers. The method specifically comprises the following steps:

In S602, installation information of an application to be online is acquired.

In S702, the installation information of the application to be online is sent to the test cloud operating system, so as to determine whether the application to be online runs normally by testing the cloud operating system and the installation information.

In an implementation, after receiving installation information of an application program to be online uploaded by an operation and maintenance person, the data management platform may send the installation information to one or more corresponding test cloud operating systems for testing according to the type of the application program, where the test cloud operating systems may be cloud operating systems created under a certain server node or cloud operating systems independently used for testing the application program.

In implementation, if the test cloud operating system is an operating system created under a preset server node, the test cloud operating system may delete locally stored installation information of the application program under the condition that it is determined that the application program to be online normally runs, and the data management platform may send the installation information of the application program to be online to the preset server node, so that a plurality of cloud operating systems created under the preset server node may scan the application program to be online into the cloud operating system through a master catalog.

In S704, based on the installation information of the application program to be online and the master catalog 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 program to be online corresponding to the application list in the cloud operating system based on the installation information of the application program in the application list and the master catalog.

The application list may further include information such as a version number of the application program.

In implementation, the data management platform can generate an application list according to the installation information of the application program in the master catalog of the preset server node, the version number of the application program and other information, and after the cloud operating system corresponding to the preset server node is started, all the application programs can be circularly scanned according to the information in the application list, so that after the cloud operating system is scanned, the cloud operating system can be distributed to the terminal equipment for a user to use, namely, when the user clicks to log in a certain application program, the user can directly open the application program without temporarily installing the application program because the cloud operating system has prefabricated the application program in advance.

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

Wherein the shared directory may be used to store operating data generated by the application during operation.

In an implementation, the shared directory established on the preset storage device may be accessed through a Network file system (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.

The personalized catalogue can have a mapping relation with the shared catalogue, so that a cloud operating system corresponding to a preset server node mounts the personalized catalogue, and running data generated in the running process of the application program is read based on the shared catalogue.

In implementation, as shown in fig. 5, the shared directory stored in the preset storage device may be mounted to personalized directories of cloud operating systems corresponding to multiple preset server nodes, where application programs installed in the multiple cloud operating systems are the same, so that when some application program is run by the multiple cloud operating systems, the local personalized directory may be mounted, and running data in the shared directory may be obtained.

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

In implementation, as shown in fig. 5, assuming that the server node 1 receives a start instruction of the user 1 for the application program 1, the server node 1 may distribute the start instruction to the cloud operating system 1, and the data management platform may trigger the cloud operating system 1 to store operation data generated in an application program operation process in the shared directory based on a user identifier of the user 1. In this way, when the server node 2 receives the start instruction of the user 1 for the application program 1, if the server node 2 distributes the start instruction to the cloud operating system 3, the data management platform may trigger the cloud operating system 3 to mount the personalized directory based on the user identifier of the user 1, and obtain the running data corresponding to the user 1 in the shared directory, so as to run the application program based on the running data.

In addition, the operation data stored in the preset storage device may generate the shared directory according to the user identifier, the user equipment identifier, and the like.

In S712, a down instruction for the target application is received.

In practice, the operator may operate on the portal such that an application is off-line, and thus the user cannot access the application, i.e., the data management platform may receive an off-line instruction for a target application, where there may be one or more target applications.

In S714, in response to the off-line instruction, the off-line processing is performed on the target application program, and the target operation data corresponding to the target application program in the shared directory is determined.

In an implementation, the target operation data corresponding to the target application program in the shared directory stored in the preset storage device may be determined based on the identification of the target application program.

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

In practice, the processing manners of S716 may be varied, and the following provides an alternative implementation manner, which can be seen from the following steps one to two:

Step one, acquiring the generation time of target operation data.

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

And step two, deleting the target operation data in the shared directory if the generation time is longer than the preset updating time.

In implementation, if the application program after offline is re-online, all operations of the user need to be restarted, such as login construction, so that in order to prevent the offline application program from being online again, the user needs to re-operate, operation data of the user may be temporarily reserved, that is, if the generation time of the target operation data of the target application program is not longer than a preset update time period, the target operation data in the shared directory may be reserved, where the update time period may be 1 month, 3 months, half year, and so on. In addition, in order to avoid the waste of the storage space, the aging data may be deleted, that is, if the generation time of the target running data of the target application program is longer than the preset updating time, the target running data may be deleted in the shared directory. The data stored in the shared directory can be aged and deleted by the target data.

Example seven

Embodiments of the present description provide a data processing system comprising a cloud operating system, a server node, and a data management platform, wherein,

The data management platform is used for acquiring the installation information of the application program to be online and sending the installation information of the application program to be online to a preset server node under the condition that the normal operation of the application program to be online is determined.

And the server node is used for storing the installation information of the application program to be online in a master disc directory of the server node, and mounting the master disc directory of the server node to an installation directory in a cloud operating system corresponding to the server node, wherein the master disc directory of the server node is constructed based on the installation information of the application program.

The cloud operating system is used for receiving a starting instruction for the cloud operating system, mounting an installation catalog of the cloud operating system in response to the starting instruction, wherein the installation catalog has a mapping relation with a master catalog of a server node corresponding to the cloud operating system, and based on installation information of application programs in the master catalog, the application programs corresponding to the installation information are installed in the cloud operating system.

The cloud side application template can be manufactured, so that the cloud operating system can install the application program in advance, manual installation of a user is avoided, the manufacturing process of the application template is to install fruit juice of the application program, and the application program can be installed in a/data/app catalog of the cloud operating system in general. As shown in fig. 8, the purpose of creating the cloud-side application template is to install an application program under the/oem/app directory of the cloud operating system, and dial the installation information of the application program to be online to the master directory/workdir/app of the preset server node through the data management platform, so that all the cloud operating systems deployed on the preset server node can use the same application template (i.e. the installation information) by means of mounting the master directory.

As shown in fig. 9, the making of the cloud-side application template may include the following steps:

1. and uploading the installation information of the application program to be online by the operation and maintenance personnel at the portal.

2. As shown in fig. 8, the data management platform sends the installation information to the test cloud operating system for testing, and the application program can be installed in an installation directory (i.e., a/oem/app directory) in the cloud operating system.

3. And the operation and maintenance personnel enter the testing cloud operating system through the dial testing terminal equipment, open the installed application program and test whether the application program can normally run.

4. If the application program can normally run, the application program under the/oem/app directory of the test cloud operating system can be dialed to the master disc directory (namely/workdir/app directory) of the corresponding server node through the data management platform. If the application program has abnormal use conditions such as flash back, the application program application does not reach the online standard, and deletion processing is needed.

5. If the application program does not have abnormal use conditions such as flashing back, the online process can be entered, the application program under the/oem/app directory can be written into the cloud operating system, and the application program to be online is installed in the cloud operating system, so that a user can use the application program through the terminal equipment.

The server node/workdir/app/directory is a mapping of cloud operating system internal mount/oem/app/directory on the server node. Thus, all cloud operating systems under the server node which are statically mounted in advance can see the master disk catalog of the application program, and the installation information of the application program under the/oem/app catalog is scanned into the cloud operating system. The cloud operating system can prefabricate a plurality of application programs, the data management platform can maintain an application list determined by a master disc catalog and the like, except that an online scene of a single application program can relate to the cloud operating system to scan the master disc catalog, after the cloud operating system is started, the cloud operating system can circularly scan all online application programs according to the application list, and therefore when a user clicks to log in a certain application program, the user can directly open the certain application program without temporarily installing the application program because the application program is prefabricated in the cloud operating system in advance.

In addition, the cloud operating system is further used for receiving a starting instruction of a target user for a target application program, responding to the starting instruction, mounting a personalized directory of the cloud operating system, reading operation data corresponding to the target user and the target application program based on a user identification and a shared directory of the target user, and operating the target application program based on the operation data corresponding to the target user, wherein the target application program is the application program which is installed by the cloud operating system based on the installation information, the personalized directory and the shared directory have a mapping relation, and the shared directory is used for storing the operation data generated in the operation process of the application program.

As shown in fig. 9, when an application program is started, the cloud operating system may create a personalized directory (i.e., a/appdata/directory) for storing operation data generated in the operation process of the application program, and may prefabricate the personalized directory into the network file system, so that all cloud operations under the same server node can share the operation data in the shared directory.

When a user clicks a certain page on a terminal device, the terminal device can be allocated with an idle cloud operating system, the terminal device can be connected with the cloud operating system, the cloud operating system can receive a unique user identifier (such as userid) produced on the terminal device, before an application program is operated, the cloud operating system can create an individualized catalog corresponding to the user according to userid, personalized data (namely operation data generated in the operation process of the application program) of all application programs can be stored in/appdata/under the individualized catalog, in order to distinguish different userid, personalized data of different user login applications are stored, finally, the catalog of the operation data corresponding to the user under the individualized catalog can be in/appdata/userid/data/user/0/under the individualized catalog, wherein the abstract corresponding to the operation data corresponding to the user can be generated based on a preset abstract generating algorithm, and the individualized catalog can be generated based on the abstract.

The embodiment of the specification provides a data processing system, which comprises a cloud operating system, a server node and a data management platform, wherein the data management platform can be used for acquiring installation information of an application program to be online and sending the installation information of the application program to be online to a preset server node under the condition that the normal operation of the application program to be online is determined. The server node may be configured to store installation information of an application to be online in a master catalog of the server node, and mount the master catalog of the server node to an installation catalog in a cloud operating system corresponding to the server node. The cloud operating system can be used for receiving a starting instruction for the cloud operating system, and installing an installation catalog of the cloud operating system in response to the starting instruction, wherein the installation catalog has a mapping relation with a master catalog of a server node corresponding to the cloud operating system, and an application program corresponding to the installation information is installed in the cloud operating system based on the installation information of the application program in the master catalog. The cloud operating systems corresponding to the same server node can acquire the installation information by sharing the master disk catalog of the service node, one part of installation information is not needed to be stored in each cloud operating system, the waste of storage space is reduced, the number of the application programs is increased, the utilization rate of the storage space is higher, and in addition, when a trigger instruction for the application programs is received, the application programs are already installed in the cloud operating systems in advance, so that the application programs can be directly started, the application programs do not need to be temporarily installed in the cloud operating systems, and the data processing efficiency is improved.

Example eight

The data processing method provided in the embodiment of the present disclosure is based on the same concept, and the embodiment of the present disclosure further provides a data processing device, as shown in fig. 10.

The data processing apparatus includes: a first receiving module 1001, a first mounting module 1002, and a program installing module 1003, wherein:

A first receiving module 1001, configured to receive a start instruction for the cloud operating system;

The first mounting module 1002 is configured to mount an installation directory of the cloud operating system in response to the start instruction, where the installation directory has a mapping relationship with a master directory of a server node corresponding to the cloud operating system;

And a program installation module 1003, configured to install, in the cloud operating system, an application program corresponding to the installation information based on the installation information of the application program in the master catalog.

In an embodiment of the present disclosure, the apparatus further includes:

The second receiving module is used for receiving a starting instruction of a target user for a target application program, wherein the target application program is an application program which is installed by the cloud operating system based on the installation information;

The second mounting module is used for mounting the personalized directory of the cloud operating system in response to the starting instruction, wherein the personalized directory has a mapping relation with a shared directory, and the shared directory is used for storing operation data generated in the operation process of the application program;

And the operation module is used for reading the operation data corresponding to the target user and the target application program based on the user identification of the target user and the shared directory, and operating the target application program based on the operation data corresponding to the target user and the target application program.

Based on the same concept, the embodiment of the present disclosure further provides a data processing apparatus, as shown in fig. 11.

The data processing apparatus includes: an information acquisition module 1101 and a first mounting module 1102, wherein:

The information acquisition module 1101 is configured to acquire installation information of an application to be online, and store the installation information of the application to be online in a master catalog of the server node, where the master catalog of the server node is constructed based on the installation information of the application;

The first mounting module 1102 is configured to mount the master disk directory of the server node to an installation directory in a cloud operating system corresponding to the server node, where the master disk directory of the server node and the installation directory have a mapping relationship, so that the cloud operating system corresponding to the server node mounts the installation directory, and install the application program to be online in the cloud operating system corresponding to the server node based on installation information of the application program in the master disk directory of the server node.

In an embodiment of the present disclosure, the apparatus further includes:

The second mounting module is used for mounting the master disc catalog of the server node to the master disc catalog of the target server node corresponding to the server node, wherein a mapping relation is arranged between the master disc catalog of the server node and the master disc catalog of the target server node so as to enable the cloud operating system corresponding to the target server node to mount the target mounting catalog with the mapping relation between the master disc catalog of the target server node, and the application program to be online is mounted in the cloud operating system corresponding to the target server node based on the mounting information of the application program in the master disc catalog of the server node.

Based on the same concept, the embodiment of the present disclosure further provides a data processing apparatus, as shown in fig. 12.

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

an information obtaining module 1201, configured to obtain installation information of an application to be online;

the first sending module 1202 is configured to send, when it is determined that the application to be online runs normally, installation information of the application to be online to a preset server node, so that the preset server node stores the installation information of the application to be online in a master disk directory, and a mapping relationship is provided between the master disk directory and an installation directory of a 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 online in the cloud operating system based on the installation information of the application in the master disk directory.

In an embodiment of the present disclosure, the apparatus further includes:

and the second sending module is used for sending the installation information of the application program to be online to a test cloud operating system so as to determine whether the application program to be online runs normally or not through the test cloud operating system and the installation information.

In an embodiment of the present disclosure, the apparatus further includes:

The generation module is used for generating an application list based on the installation information of the application programs to be online and the master disc catalog of the preset server node, so that a cloud operating system corresponding to the preset server node installs the application programs to be online corresponding to the application list in the cloud operating system based on the application list and the installation information of the application programs in the master disc catalog.

In an embodiment of the present disclosure, the apparatus further includes:

The system comprises a building module, a storage module and a storage module, wherein the building module is used for building a shared directory and storing the shared directory into a preset storage device, and the shared directory is used for storing operation data generated in an application program operation process;

and the mounting module is used for mounting the shared catalogue to the personalized catalogue of the cloud operating system corresponding to the preset server node, wherein a mapping relation is arranged between the personalized catalogue and the shared catalogue, so that the cloud operating system corresponding to the preset server node mounts the personalized catalogue, and the running data generated in the running process of the application program is read based on the shared catalogue.

In an embodiment of the present disclosure, the apparatus further includes:

And the storage module is used for storing the operation data generated in the operation process of the application program corresponding to the target user in the shared directory based on the user identification of the user.

In an embodiment of the present disclosure, the apparatus further includes:

the receiving module is used for receiving an offline instruction aiming at a target application program;

the processing module is used for responding to the offline instruction, performing offline processing on the target application program and determining target operation data corresponding to the target application program in the shared directory;

And the updating module is used for updating the target operation data based on a preset data updating rule.

In an embodiment of the present disclosure, the update module is configured to:

acquiring the generation time of the target operation data;

And if the generation time is longer than the preset updating time, deleting the target operation data in the shared directory.

In addition, when a trigger instruction for an application program is received, the application program is already installed in the cloud operating system in advance, so that the application program can be directly started, temporary installation of the application program in the cloud operating system is not required, and data processing efficiency is improved.

Example nine

Based on the same idea, the embodiment of the present disclosure further provides a data processing apparatus, as shown in fig. 13.

The data processing apparatus may vary considerably in configuration or performance and may include one or more processors 1301 and memory 1302, where memory 1302 may store one or more stored applications or data. Wherein the memory 1302 may be transient storage or persistent storage. The application programs stored in memory 1302 may include one or more modules (not shown) each of which may include a series of computer executable instructions for use in a data processing apparatus. Still further, a processor 1301 may be provided in communication with a memory 1302, executing a series of computer executable instructions in memory 1302 on a data processing apparatus. 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/output interfaces 1305, and one or more keyboards 1306.

In particular, in this embodiment, the data processing apparatus 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 apparatus, and the one or more programs configured to be executed by the one or more processors comprise instructions for:

receiving a start instruction for the data processing device;

Mounting an installation directory of the data processing equipment in response to the starting instruction, wherein a mapping relation is arranged between the installation directory and a master directory of a server node corresponding to the data processing equipment;

And installing the application program corresponding to the installation information in the data processing equipment based on the installation information of the application program in the master catalog.

Optionally, the method further comprises:

receiving a starting instruction of a target user aiming at a target application program, wherein the target application program is an application program which is installed by the data processing equipment based on the installation information;

in response to the starting instruction, mounting a personalized directory of the data processing equipment, wherein the personalized directory has a mapping relation with a shared directory, and the shared directory is used for storing operation data generated in an application program operation process;

And reading operation data corresponding to the target user and the target application program based on the user identification of the target user and the shared directory, and operating the target application program based on the operation data corresponding to the target user and the target application program.

Further, the one or more programs configured to be executed by the one or more processors also include computer-executable instructions for:

Acquiring installation information of an application program to be online, and storing the installation information of the application program to be online in a master disc directory of the server node, wherein the master disc directory of the server node is constructed based on the installation information of the application program;

And mounting the master disc catalog of the server node to an installation catalog in a cloud operation system corresponding to the server node, wherein a mapping relation is arranged between the master disc catalog of the server node and the installation catalog so that the cloud operation system corresponding to the server node mounts the installation catalog, and the application program to be online is mounted in the cloud operation system corresponding to the server node based on the installation information of the application program in the master disc catalog of the server node.

Optionally, the method further comprises:

And mounting the master disc catalog of the server node to the master disc catalog of the target server node corresponding to the server node, wherein the master disc catalog of the server node and the master disc catalog of the target server node have a mapping relation so as to enable the cloud operating system corresponding to the target server node to mount the target installation catalog having a mapping relation with the master disc catalog of the target server node, and installing the application program to be on line in the cloud operating system corresponding to the target server node based on the installation information of the application program in the master disc catalog of the server node.

Acquiring installation information of an application program to be online;

Under the condition that the application program to be online normally operates is determined, the installation information of the application program to be online is sent to a preset server node, so that the preset server node stores the installation information of the application program to be online in a master disc directory, and a mapping relation is arranged between the master disc directory and an installation directory of a cloud operating system corresponding to the preset server node, so that the cloud operating system installs the installation directory, and the cloud operating system installs the application program to be online in the cloud operating system based on the installation information of the application program in the master disc directory.

Optionally, before the determining that the application to be online runs normally, sending the installation information of the application to be online to a preset server node, the method further includes:

And sending the installation information of the application program to be online to a test cloud operating system so as to determine whether the application program to be online runs normally or not through the test cloud operating system and the installation information.

Optionally, the method further comprises:

And generating an application list based on the installation information of the application program to be online and a master disc catalog of the preset server node, so that a cloud operating system corresponding to the preset server node installs the application program to be online corresponding to the application list in the cloud operating system based on the application list and the installation information of the application program in the master disc catalog.

Optionally, the method further comprises:

Establishing a shared directory and storing the shared directory into a preset storage device, wherein the shared directory is used for storing operation data generated in the operation process of an application program;

And mounting the shared catalogue to a personalized catalogue of a cloud operating system corresponding to the preset server node, wherein a mapping relation is arranged between the personalized catalogue and the shared catalogue, so that the cloud operating system corresponding to the preset server node mounts the personalized catalogue, and running data generated in the running process of an application program is read based on the shared catalogue of the storage device.

Optionally, the method further comprises:

And storing operation data generated in the operation process of the application program corresponding to the target user in the shared directory based on the user identification of the user.

Optionally, the method further comprises:

receiving an offline instruction for a target application program;

responding to the offline instruction, performing offline processing on the target application program, and determining target operation data corresponding to the target application program in the shared directory;

and updating the target operation data based on a preset data updating rule.

Optionally, the updating the target operation data based on the preset data updating rule includes:

acquiring the generation time of the target operation data;

Example nine

The embodiments of the present disclosure further provide a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements each process of the embodiments of the data processing method, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein. The computer readable storage medium is, for example, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk or an optical disk.

The embodiment of the present disclosure provides a computer readable storage medium, where a plurality of cloud operating systems corresponding to the same server node may obtain installation information by sharing a master directory of a service node, without storing one piece of installation information in each cloud operating system, so that the waste of storage space is reduced, and the greater the number of application programs, the higher the utilization rate of the storage space is, and in addition, when a trigger instruction for an application program is received, since the application program is already installed in advance in the cloud operating system, the application program may be directly started, without temporarily installing the application program in the cloud operating system, and the data processing efficiency is improved.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

In the 90s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable GATE ARRAY, FPGA)) is an integrated circuit whose logic functions are determined by user programming of the device. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented with "logic compiler (logic compiler)" software, which is similar to the software compiler used in program development and writing, and the original code before being compiled is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but HDL is not just one, but a plurality of 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), and VHDL (Very-High-SPEED INTEGRATED Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application SPECIFIC INTEGRATED Circuits (ASICs), programmable logic controllers, and embedded microcontrollers, examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, 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 convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing one or more embodiments of the present description.

It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, one or more embodiments of the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

Embodiments of the present description are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

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

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer 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 disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

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

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

The foregoing is merely exemplary of the present disclosure and is not intended to limit the disclosure. Various modifications and alterations to this specification will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present description, are intended to be included within the scope of the claims of the present description.

Claims

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

Receiving a starting instruction aiming at the cloud operating system;

Responding to the starting instruction, mounting an installation directory of the cloud operating system, wherein a mapping relation is arranged between the installation directory and a master directory of a server node corresponding to the cloud operating system;

And installing the application program corresponding to the installation information in the cloud operating system based on the installation information of the application program in the master catalog.

2. The method of claim 1, the method further comprising:

Receiving a starting instruction of a target user for a target application program, wherein the target application program is an application program which is installed by the cloud operating system based on the installation information;

in response to the starting instruction, mounting a personalized directory of the cloud operating system, wherein the personalized directory has a mapping relation with a shared directory, and the shared directory is used for storing operation data generated in an application program operation process;

3. A data processing method, the method being applied to a server node, the method comprising:

4. A method according to claim 3, the method further comprising:

5. A data processing method, the method being applied to a data management platform, the method comprising:

Acquiring installation information of an application program to be online;

Under the condition that the application program to be online normally operates is determined, the installation information of the application program to be online is sent to a preset server node, so that the preset server node stores the installation information of the application program to be online in a master disc directory, and a mapping relation is arranged between the master disc directory and an installation directory of a cloud operating system corresponding to the preset server node, so that the cloud operating system installs the installation directory, and the application program to be online is installed in the cloud operating system based on the installation information of the application program in the master disc directory.

6. The method according to claim 5, further comprising, before the sending the installation information of the application to be online to a preset server node in the case where it is determined that the application to be online is operating normally:

7. The method of claim 6, the method further comprising:

8. The method of claim 5, the method further comprising:

And mounting the shared catalogue to a personalized catalogue of a cloud operating system corresponding to the preset server node, wherein a mapping relation is arranged between the personalized catalogue and the shared catalogue, so that the cloud operating system corresponding to the preset server node mounts the personalized catalogue, and running data generated in the running process of the application program is read based on the shared catalogue.

9. The method of claim 8, the method further comprising:

10. The method of claim 9, the method further comprising:

receiving an offline instruction for a target application program;

Responding to the offline instruction, performing offline processing on the target application program, and determining target operation data corresponding to the target application program in the preset shared directory;

and updating the target operation data based on a preset data updating rule.

11. The method of claim 10, wherein the updating the target operation data based on the preset data updating rule comprises:

acquiring the generation time of the target operation data;

12. A data processing apparatus comprising a processor and a memory storing a program or instruction executable on the processor, which when executed by the processor, implements the steps of the data processing method of any of claims 1 to 11.

13. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the data processing method according to any of claims 1-11.