WO2021203591A1

WO2021203591A1 - Data processing method for heterogeneous cloud storage system, and readable medium and system therefor

Info

Publication number: WO2021203591A1
Application number: PCT/CN2020/106147
Authority: WO
Inventors: 苏晨光; 吴永军
Original assignee: 上海依图网络科技有限公司
Priority date: 2020-04-10
Filing date: 2020-07-31
Publication date: 2021-10-14
Also published as: CN111314493A

Abstract

The present application relates to the field of computers. Disclosed are a data processing method for a heterogeneous cloud storage system, and a readable medium and a system therefor. The heterogeneous cloud storage system of the present application comprises a unified cloud storage system and independent cloud storage systems. The data processing method of the present application comprises: a unified cloud storage system receiving a registration request of an independent cloud storage system, and configuring a storage link for the independent cloud storage system which is subjected to registration; the unified cloud storage system receiving a data request sent by a user end, and parsing the data request on the basis of the registered storage link; the unified cloud storage system forwarding, on the basis of a parsing result, the data request to the corresponding independent cloud storage system for processing; and the independent cloud storage system performing data processing on the basis of the data request, and then returning a processing result to the user end.

Description

Data processing method of heterogeneous cloud storage system and readable medium and system thereof

Technical field

This application relates to the computer field, and in particular to a data processing method of a heterogeneous cloud storage system, and a readable medium and system thereof.

Background technique

With the development of IT technology, massive amounts of business data are generated every day, and various cloud storage systems have emerged in the industry. Cloud storage systems refer to functions such as cluster applications, network technologies, or distributed file systems. A system that brings together a large number of general application software for storage devices of various types in the network to work together to provide external data storage and business access functions. Generally speaking, enterprises will use multiple cloud storage systems at the same time. If a cloud storage system needs to be upgraded, the existing technology is to shut down the cloud storage system first, then back up the data, and then import the backup data into the new system, but this kind of system The upgrade method has a long process, complicated processing, and requires a lot of time and energy.

Summary of the invention

The embodiment of the application provides a data processing method for a unified heterogeneous cloud storage system. The unified cloud storage system can include a large number of independent cloud storage systems internally, and provides a unified data interaction interface for developers externally, so that developers do not need to care The composition of the heterogeneous cloud storage system only needs to interact with the unified cloud storage system, reducing the development workload of developers.

In the first aspect, an embodiment of the present application provides a data processing method for a heterogeneous cloud storage system. The heterogeneous cloud storage system includes a unified cloud storage system and multiple independent cloud storage systems. The method includes:

The unified cloud storage system receives the registration request of the independent cloud storage system, and configures a storage link for the registered independent cloud storage system;

The unified cloud storage system receives the data request sent by the client, and parses the data request based on the registered storage link;

The unified cloud storage system forwards the data request to the corresponding independent cloud storage system for processing based on the analysis result;

The independent cloud storage system performs data processing based on the data request and returns the processing result to the client.

In a possible implementation of the foregoing first aspect, the storage link includes the following information: link ID, unified cloud storage system information, and independent cloud storage system information.

In a possible implementation of the above-mentioned first aspect, the unified cloud storage system receiving the registration request of the independent cloud storage system, and configuring a storage link for the registered independent cloud storage system includes:

Each independent cloud storage system sends a registration request to the unified cloud storage system;

For each registration request, the unified cloud storage system writes the link ID and unified cloud storage system information into a storage link and configures it to the corresponding independent cloud storage system, where different independent cloud storage systems correspond to different link IDs;

Each independent cloud storage system writes its own system information into the storage link and returns the storage link to the unified cloud storage system.

In a possible implementation of the foregoing first aspect, the data request includes the data request ID, data request information, and independent cloud storage system information written by the user terminal.

In a possible implementation of the above-mentioned first aspect, the unified cloud storage system receiving the data request sent by the user terminal, and analyzing the data request based on all registered storage links includes:

If the data request ID corresponds to one of the link IDs of the registered storage link, the independent cloud storage system corresponding to the data request ID and the link ID is selected for processing.

In a possible implementation of the foregoing first aspect, the data request further includes time node information.

In a possible implementation of the foregoing first aspect, the method further includes:

Obtain the time node information of the data request;

Based on the time node information, a corresponding independent cloud storage system is selected to process the data request.

In the second aspect, an embodiment of the present application provides a heterogeneous cloud storage system, including a unified cloud storage system and multiple independent cloud storage systems, wherein the unified cloud storage system includes:

The registration unit is used to receive the registration request of the independent cloud storage system and configure a storage link for the registered independent cloud storage system;

The parsing unit is used to receive the data request sent by the client and analyze the data request based on the registered storage link;

The forwarding unit is configured to forward the data request to the corresponding independent cloud storage system for processing based on the analysis result, and the independent cloud storage system performs data processing based on the data request and then returns the processing result to the user terminal.

In a possible implementation of the above second aspect, the storage link includes:

The storage link includes the following information: link ID, unified cloud storage system information, and independent cloud storage system information.

In a possible implementation of the above second aspect, the registration unit performs registration in the following manner:

In a possible implementation of the above second aspect, the data request includes the data request ID, data request information, and independent cloud storage system information written by the user terminal.

In a possible implementation of the above second aspect, the parsing unit parses the data request in the following manner:

In a possible implementation of the above second aspect, the data request further includes time node information.

Obtain the time node information of the data request;

In a third aspect, embodiments of the present application provide a machine-readable medium with instructions stored on the machine-readable medium, which when executed on a machine, cause the machine to perform any of the above-mentioned data processing of heterogeneous cloud storage systems method.

In a fourth aspect, an embodiment of the present application provides a system, and the system includes:

Memory, used to store instructions executed by one or more processors of the system, and

The processor is one of the processors of the system and is used to execute the data processing method of the heterogeneous cloud storage system described in any one of the above aspects.

Description of the drawings

Fig. 1 shows a data processing scene diagram of a heterogeneous cloud storage system according to some embodiments of the present application.

Fig. 2 shows a structural block diagram of a unified cloud storage system according to some embodiments of the present application.

Fig. 3 shows a flowchart of a data processing method of a heterogeneous cloud storage system according to some embodiments of the present application.

Fig. 4 shows a block diagram of a system according to some embodiments of the present application.

Fig. 5 shows a block diagram of a system on chip (SoC) according to some embodiments of the present application.

Specific embodiment

Illustrative embodiments of this application include, but are not limited to, a unified heterogeneous cloud storage system and its data processing method.

It is understood that, as used herein, the term "module" can refer to or include an application specific integrated circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group) that executes one or more software or firmware programs, and /Or memory, combinational logic circuits, and/or other suitable hardware components that provide the described functions, or may be part of these hardware components.

It can be understood that, in the embodiments of the present application, the processor may be a microprocessor, a digital signal processor, a microcontroller, etc., and/or any combination thereof. According to another aspect, the processor may be a single-core processor, a multi-core processor, etc., and/or any combination thereof.

The embodiments of the present application will be described in further detail below in conjunction with the accompanying drawings.

According to some embodiments of the present application, FIG. 1 shows a data processing scene diagram of a heterogeneous cloud storage system. As shown in FIG. 1, the client 100 sends a data request to the unified cloud storage system 200, and the unified cloud storage system 200 The data request is forwarded to the registered independent cloud storage system 400, the independent cloud storage system 500, and the independent cloud storage system 600 respectively, and the independent cloud storage system returns the processing result to the client 100 after processing the received data request. Among them, the independent cloud storage system 400, the independent cloud storage system 500, and the independent cloud storage system 600 are heterogeneous storage systems, and their overall architecture, storage methods, and query principles may be different. They can be registered under the unified storage system 200 and passed through the unified storage system. The unified regulation of 200 realizes the rapid processing of the massive data request of the client 100. It is understandable that independent cloud storage systems may be cloud storage systems developed by different companies. Although only three independent cloud storage systems are shown in Figure 1, in fact, the unified cloud storage system 200 may also include any number of independent cloud storage systems. , There is no restriction here.

The following describes the structure of the unified storage system 200. FIG. 2 shows a block diagram of a unified cloud storage system 200 according to some embodiments of the present application. As shown in FIG. 2, the unified cloud storage system 200 includes a registration unit 201 and an analysis unit 202. And forwarding unit 203. in,

The registration unit 201 is used to process the registration request of each independent cloud storage system, and bind a registered storage link to each independent cloud storage system that has been registered. Among them, the storage link is the legal credential of the independent cloud storage system, which is stored on each independent cloud storage system. Only the independent cloud storage system with the storage link can successfully register on the unified cloud storage framework. When a new cloud storage system needs to be added for the user to choose from, it is only necessary to register the storage system to the unified cloud storage system 200 to achieve seamless expansion of the entire heterogeneous cloud storage system.

Storage links include link IDs, publishers, and receivers. The link ID is an identifier that distinguishes each independent cloud storage system. Each storage link has a different link ID. The publisher and receiver respectively represent the unified cloud storage system 200. And the system information of the independent cloud storage system.

The parsing unit 202 is configured to receive a data request sent by the user terminal 100, and analyze the data request based on all registered storage links. Among them, the data request includes the data request ID, processor, data request information and response information. The data request ID is used to distinguish different data requests. The processor indicates the independent cloud storage system that requires the processing of the data request. The value of the processor is the value of the registered link ID. The data request information is the specific information of the data request. For the data that the developer wants to obtain, the response information is written by the independent cloud storage system that ultimately processes the data request.

In some embodiments, the parsing unit parsing the data request includes: analyzing the processor in the data request based on all registered storage links. Since the developer user logs in to the unified cloud storage system 200, the unified cloud storage system 200 provides the link IDs of numerous registered independent cloud storage systems for the user to choose. Users only need to take the value of the link ID of the cloud storage system they need as The value of the processor of the data request can be written in the data request.

The forwarding unit 203 is configured to select an independent cloud storage system with a link ID corresponding to the processor for processing when the processor is not empty and corresponds to the link ID of a certain registered storage link. It is understandable that the correspondence mentioned here can be exactly the same in value, or it can be the mapping relationship between the value of the link ID and the value of the processor stored in the unified cloud storage system, as long as the value of the processor analyzed at this time The value of the link ID only needs to belong to one element in the mapping relationship.

For example, if the independent cloud storage systems are the independent cloud storage system 400, the independent cloud storage system 500, and the independent cloud storage system 600, the processor independent cloud storage system 400, the independent cloud storage system 500, and the independent cloud storage system 600 have their link IDs The numerical values are different, for example, the numerical values of the link ID are 0101,0202,0303 respectively. First, the parsing unit 202 parses the data request and obtains the value of the data request ID after parsing. For example, if the data request ID value contains 0101, the forwarding unit 202 sends the data request to the independent cloud storage system 400 for processing. If the data request is If the ID value contains 0202, the forwarding unit 202 forwards the data request to the independent cloud storage system 500 for processing. If the data request ID value contains 0303, the request unit 203 forwards the data request to the independent cloud storage system 600 for processing. deal with.

In addition, if the processor is not empty but the processor with the corresponding link ID cannot be found or the link ID is missing, the request unit 202 may use the start-up time of the unified cloud storage system 200 as the limit, if it is less than or equal to the start-up time of the unified cloud storage , Choose an independent cloud storage system that stores old data. Conversely, if it is longer than the start-up time of the unified cloud storage system, choose an independent cloud storage system that stores new data.

In some embodiments, the data stored by the independent cloud storage system 400 from January to March is old data, the data stored by the independent cloud storage system 500 from September to December is new data, and the intermediate time period (March to September ) Is the data stored in the independent cloud storage system 600. Then, first the parsing unit 202 parses out the time node information of the data request. For example, if the time node parsed by the time information of the data request is June, then the forwarding unit 203 sends the data request to the independent cloud storage system 600, and the independent cloud storage After receiving the instruction, the system 600 reads and writes the file according to its own read and write mode. For another example, if the time information of the data request is the time node in February, the data request is forwarded to the independent cloud storage system 400, and the independent cloud storage system 400 reads and writes the file according to its own reading and writing mode after receiving the instruction. For another example, if the time node information of the data request is October, the data request is forwarded to the independent cloud storage system 500, and the independent cloud storage system 500 reads and writes the file according to its own reading and writing mode after receiving the instruction.

Finally, when the independent cloud storage system receives the data request forwarded by the forwarding unit 203, it performs data processing according to the data request information in the data request (for example, the data request information is to obtain detailed information of all files in the specified directory), and process The result is written in the response message, and then returned to the client 100.

According to some embodiments of the present application, FIG. 3 schematically shows a flow chart of a data processing method of a heterogeneous cloud storage system. The data processing method in FIG. 3 can be executed by each unit in FIG. 2. Specifically, the Methods include:

(1) The unified cloud storage system processes the registration request of the independent cloud storage system, and binds a storage link (301) to the registered independent cloud storage system; the storage link includes the link ID, the publisher and the receiver, among which, the link ID It is the identifier that distinguishes each independent cloud storage system. Each storage link has a different link ID. The publisher and receiver respectively represent the system information of the unified cloud storage system and the independent cloud storage system.

(2) The unified cloud storage system receives the data request sent by the client, and analyzes the data request based on all the registered storage links (302); it is used to receive the data request sent by the client and is based on all the registered storage links Analyze the data request. Among them, the data request includes the data request ID, processor, data request information and response information. The data request ID is used to distinguish different data requests. The processor indicates the independent cloud storage system that requires the processing of the data request. The value of the processor is the value of the registered link ID; the data request information is the specific information of the data request, expressing The data that the developer wants to obtain; the response information is written by the independent cloud storage system that ultimately processes the data request.

(3) The unified cloud storage system forwards the data request to the corresponding independent cloud storage system for processing based on the analysis result (303); used to select when the processor is not empty and corresponds to the link ID of a registered storage link The independent cloud storage system corresponding to the link ID and the processor performs processing. It should be understood that the correspondence mentioned here can be exactly the same in value, or it can be the mapping relationship between the value of the link ID stored in the unified cloud storage system and the value of the processor, as long as the processor analyzed at this time The value of and the value of the link ID only need to belong to one element in the mapping relationship.

If the processor is not empty but the processor with the corresponding link ID cannot be found or the link ID is missing, the request unit can be based on the starting time of the unified cloud storage as the limit. If it is less than or equal to the starting time of the unified cloud storage, choose to store the old data On the contrary, if it is longer than the start-up time of the unified cloud storage system, choose an independent cloud storage system that stores new data.

(4) The independent cloud storage system performs data processing based on the data request and then returns the processing result to the client (304). When the selected independent cloud storage system receives the data request forwarded by the forwarding unit, The data request information performs data processing, and the processing result is written into the response information, and then returned to the user terminal.

Therefore, the embodiments of the present application provide a data processing method for a unified heterogeneous cloud storage system. The unified cloud storage system can include a large number of independent cloud storage systems internally, and provide developers with a unified data interaction interface externally, so that developers can No need to care about the composition of the heterogeneous cloud storage system, only need to interact with the unified cloud storage system, reducing the developer's development workload.

Referring now to FIG. 4, shown is a block diagram of a system 400 according to an embodiment of the present application. Figure 4 schematically illustrates an example system 400 according to various embodiments. In one embodiment, the system 400 may include one or more processors 404, a system control logic 408 connected to at least one of the processors 404, a system memory 412 connected to the system control logic 408, and a system control logic 408 connected to the system control logic 408. The non-volatile memory (NVM) 416 is connected to the system control logic 408, and the network interface 420 is connected to the system control logic 408.

In some embodiments, the processor 404 may include one or more single-core or multi-core processors. In some embodiments, the processor 404 may include any combination of a general-purpose processor and a special-purpose processor (for example, a graphics processor, an application processor, a baseband processor, etc.). In an embodiment in which the system 400 adopts an eNB (Evolved Node B, enhanced base station) 101 or a RAN (Radio Access Network, radio access network) controller 102, the processor 404 may be configured to execute various conforming embodiments, For example, one or more of the multiple embodiments shown in FIGS. 1-3.

In some embodiments, the system control logic 408 may include any suitable interface controller to provide any suitable interface to at least one of the processors 404 and/or any suitable device or component in communication with the system control logic 408.

In some embodiments, the system control logic 408 may include one or more memory controllers to provide an interface to the system memory 412. The system memory 412 can be used to load and store data and/or instructions. In some embodiments, the memory 412 of the system 400 may include any suitable volatile memory, such as a suitable dynamic random access memory (DRAM).

The NVM/memory 416 may include one or more tangible, non-transitory computer-readable media for storing data and/or instructions. In some embodiments, the NVM/memory 416 may include any suitable non-volatile memory such as flash memory and/or any suitable non-volatile storage device, such as HDD (Hard Disk Drive, hard disk drive), CD (Compact Disc) , At least one of an optical disc drive and a DVD (Digital Versatile Disc, Digital Versatile Disc) drive.

The NVM/memory 416 may include a part of the storage resources on the device where the system 400 is installed, or it may be accessed by the device, but not necessarily a part of the device. For example, the NVM/storage 416 can be accessed through the network via the network interface 420.

In particular, the system memory 412 and the NVM/memory 416 may respectively include: a temporary copy and a permanent copy of the instruction 424. The instructions 424 may include instructions that, when executed by at least one of the processors 404, cause the system 400 to implement the method shown in FIGS. 3-4. In some embodiments, the instructions 424, hardware, firmware, and/or software components thereof may additionally/alternatively be placed in the system control logic 408, the network interface 420, and/or the processor 404.

The network interface 420 may include a transceiver to provide a radio interface for the system 400, and then communicate with any other suitable devices (such as a front-end module, an antenna, etc.) through one or more networks. In some embodiments, the network interface 420 may be integrated with other components of the system 400. For example, the network interface 420 may be integrated in at least one of the processor 404, the system memory 412, the NVM/storage 416, and a firmware device (not shown) with instructions. When at least one of the processor 404 executes the When instructed, the system 400 implements the data processing method of the heterogeneous cloud storage system as shown in FIG. 3.

The network interface 420 may further include any suitable hardware and/or firmware to provide a multiple input multiple output radio interface. For example, the network interface 420 may be a network adapter, a wireless network adapter, a telephone modem, and/or a wireless modem.

In one embodiment, at least one of the processors 404 may be packaged with the logic of one or more controllers for the system control logic 408 to form a system in package (SiP). In one embodiment, at least one of the processors 404 may be integrated on the same die with the logic of one or more controllers for the system control logic 408 to form a system on chip (SoC).

The system 400 may further include: an input/output (I/O) device 432. The I/O device 432 may include a user interface to enable a user to interact with the system 400; the design of the peripheral component interface enables the peripheral component to also interact with the system 400. In some embodiments, the system 400 further includes a sensor for determining at least one of environmental conditions and location information related to the system 400.

In some embodiments, the user interface may include, but is not limited to, a display (e.g., liquid crystal display, touch screen display, etc.), speakers, microphones, one or more cameras (e.g., still image cameras and/or video cameras), flashlights (e.g., LED flash) and keyboard.

In some embodiments, the peripheral component interface may include, but is not limited to, a non-volatile memory port, an audio jack, and a power interface.

In some embodiments, the sensor may include, but is not limited to, a gyroscope sensor, an accelerometer, a proximity sensor, an ambient light sensor, and a positioning unit. The positioning unit may also be part of or interact with the network interface 420 to communicate with components of the positioning network (eg, global positioning system (GPS) satellites).

According to an embodiment of the present application, FIG. 5 shows a block diagram of a SoC (System on Chip) 500. In Figure 5, similar parts have the same reference numerals. In addition, the dashed box is an optional feature of the more advanced SoC. In FIG. 5, the SoC 500 includes: an interconnection unit 550, which is coupled to the application processor 515; a system agent unit 570; a bus controller unit 580; an integrated memory controller unit 540; a group or one or more co-processing The device 520 may include an integrated graphics logic, an image processor, an audio processor, and a video processor; a static random access memory (SRAM) unit 530; and a direct memory access (DMA) unit 560. In one embodiment, the coprocessor 520 includes a dedicated processor, such as, for example, a network or communication processor, a compression engine, a GPGPU, a high-throughput MIC processor, or an embedded processor, or the like.

The various embodiments of the mechanism disclosed in this application may be implemented in hardware, software, firmware, or a combination of these implementation methods. The embodiments of the present application can be implemented as a computer program or program code executed on a programmable system including at least one processor and a storage system (including volatile and non-volatile memory and/or storage elements) , At least one input device and at least one output device.

Program codes can be applied to input instructions to perform the functions described in this application and generate output information. The output information can be applied to one or more output devices in a known manner. For the purposes of this application, a processing system includes any system having a processor such as, for example, a digital signal processor (DSP), a microcontroller, an application specific integrated circuit (ASIC), or a microprocessor.

The program code can be implemented in a high-level programming language or an object-oriented programming language to communicate with the processing system. When needed, assembly language or machine language can also be used to implement the program code. In fact, the mechanism described in this application is not limited to the scope of any particular programming language. In either case, the language can be a compiled language or an interpreted language.

In some cases, the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof. The disclosed embodiments can also be implemented as instructions carried by or stored on one or more transient or non-transitory machine-readable (eg, computer-readable) storage media, which can be executed by one or more processors. Read and execute. For example, the instructions can be distributed through a network or through other computer-readable media. Therefore, a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (for example, a computer), including, but not limited to, floppy disks, optical disks, optical disks, read-only memories (CD-ROMs), magnetic Optical disk, read only memory (ROM), random access memory (RAM), erasable programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), magnetic or optical card, flash memory, or A tangible machine-readable memory used to transmit information (for example, carrier waves, infrared signals, digital signals, etc.) using the Internet with electric, optical, acoustic, or other forms of propagating signals. Therefore, a machine-readable medium includes any type of machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (for example, a computer).

In the drawings, some structural or method features may be shown in a specific arrangement and/or order. However, it should be understood that such a specific arrangement and/or ordering may not be required. Rather, in some embodiments, these features may be arranged in a different manner and/or order than shown in the illustrative drawings. In addition, the inclusion of structural or method features in a particular figure does not imply that such features are required in all embodiments, and in some embodiments, these features may not be included or may be combined with other features.

It should be noted that each unit/module mentioned in each device embodiment of this application is a logical unit/module. Physically, a logical unit/module can be a physical unit/module or a physical unit/ A part of the module can also be realized by a combination of multiple physical units/modules. The physical realization of these logical units/modules is not the most important. The combination of the functions implemented by these logical units/modules is the solution to this application. The key to the technical question raised. In addition, in order to highlight the innovative part of this application, the above-mentioned device embodiments of this application do not introduce units/modules that are not closely related to solving the technical problems proposed by this application. This does not mean that the above-mentioned device embodiments do not exist. Other units/modules.

It should be noted that in the examples and specification of this patent, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply There is any such actual relationship or sequence between these entities or operations. Moreover, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes those that are not explicitly listed Other elements of, or also include elements inherent to this process, method, article or equipment. If there are no more restrictions, the element defined by the phrase "including one" does not exclude the existence of other same elements in the process, method, article, or equipment that includes the element.

Although the present application has been illustrated and described by referring to certain preferred embodiments of the present application, those of ordinary skill in the art should understand that various changes can be made in form and details without departing from the present application. The spirit and scope of the application.

Claims

A data processing method for a heterogeneous cloud storage system, wherein the heterogeneous cloud storage system includes a unified cloud storage system and multiple independent cloud storage systems, and the method includes:

The unified cloud storage system receives the registration request of the independent cloud storage system, and configures a storage link for the registered independent cloud storage system;

The unified cloud storage system receives the data request sent by the client, and parses the data request based on the registered storage link;

The unified cloud storage system forwards the data request to the corresponding independent cloud storage system for processing based on the analysis result;

The independent cloud storage system performs data processing based on the data request and returns the processing result to the client.
The data processing method of a heterogeneous cloud storage system according to claim 1, wherein the storage link includes the following information: link ID, unified cloud storage system information, and independent cloud storage system information.
The data processing method for heterogeneous cloud storage according to claim 1 or 2, wherein the unified cloud storage system receives a registration request from an independent cloud storage system, and configures a storage link for the registered independent cloud storage system include:

Each independent cloud storage system sends a registration request to the unified cloud storage system;

For each registration request, the unified cloud storage system writes the link ID and unified cloud storage system information into a storage link and configures it to the corresponding independent cloud storage system, where different independent cloud storage systems correspond to different link IDs;

Each independent cloud storage system writes its own system information into the storage link and returns the storage link to the unified cloud storage system.
The data processing method for heterogeneous cloud storage according to claim 1, wherein the data request includes the data request ID, data request information, and independent cloud storage system information written by the client.
The method according to claim 1 or 4, wherein the unified cloud storage system receiving the data request sent by the user terminal, and analyzing the data request based on all registered storage links comprises:

If the data request ID corresponds to one of the link IDs of the registered storage link, the independent cloud storage system corresponding to the data request ID and the link ID is selected for processing.
The data processing method for heterogeneous cloud storage according to claim 4, wherein the data request further includes time node information.
The data processing method for heterogeneous cloud storage according to claim 1 or 6, characterized in that it further comprises:

Obtain the time node information of the data request;

Based on the time node information, a corresponding independent cloud storage system is selected to process the data request.
A heterogeneous cloud storage system, characterized in that it includes a unified cloud storage system and multiple independent cloud storage systems, wherein the unified cloud storage system includes:

The registration unit is used to receive the registration request of the independent cloud storage system and configure a storage link for the registered independent cloud storage system;

The parsing unit is used to receive the data request sent by the client and analyze the data request based on the registered storage link;

The forwarding unit is configured to forward the data request to the corresponding independent cloud storage system for processing based on the analysis result, and the independent cloud storage system performs data processing based on the data request and then returns the processing result to the user terminal.
The heterogeneous cloud storage system according to claim 8, wherein the storage link comprises:

The storage link includes the following information: link ID, unified cloud storage system information, and independent cloud storage system information.
The heterogeneous cloud storage system according to claim 8 or 9, wherein the registration unit performs registration in the following manner:

Each independent cloud storage system sends a registration request to the unified cloud storage system;

For each registration request, the unified cloud storage system writes the link ID and unified cloud storage system information into a storage link and configures it to the corresponding independent cloud storage system, where different independent cloud storage systems correspond to different link IDs;

Each independent cloud storage system writes its own system information into the storage link and returns the storage link to the unified cloud storage system.
The heterogeneous cloud storage system according to claim 8, wherein the data request includes the data request ID, data request information, and independent cloud storage system information written by the client.
According to the heterogeneous cloud storage system according to claim 8 or 11, the parsing unit analyzes the data request in the following manner:

If the data request ID corresponds to one of the link IDs of the registered storage link, the independent cloud storage system corresponding to the data request ID and the link ID is selected for processing.
The heterogeneous cloud storage system according to claim 8, wherein the data request further includes time node information.
The heterogeneous storage system according to claim 8 or 13, wherein the parsing unit analyzes the data request in the following manner:

Obtain the time node information of the data request;

Based on the time node information, a corresponding independent cloud storage system is selected to process the data request.
A machine-readable medium, characterized in that an instruction is stored on the machine-readable medium, and when the instruction is executed on a machine, the machine executes the data processing method of any one of right requirements 1 to 7 in a heterogeneous cloud storage system .
A system including:

Memory, used to store instructions executed by one or more processors of the system, and

The processor is one of the processors of the system, and is used to execute the data processing method of the heterogeneous cloud storage system according to any one of claims 1 to 7.