WO2023088462A1

WO2023088462A1 - Method and apparatus for processing data, device, and storage medium

Info

Publication number: WO2023088462A1
Application number: PCT/CN2022/133197
Authority: WO
Inventors: 石启铮
Original assignee: 北京百度网讯科技有限公司
Priority date: 2021-11-22
Filing date: 2022-11-21
Publication date: 2023-05-25
Also published as: CN114090247A

Abstract

The present disclosure relates to the technical field of cloud phones, and provides a method and apparatus for processing data, a device, and a storage medium. A specific implementation solution is: dividing data to be processed into multiple pieces of sub-data; obtaining at least one available cloud phone client to distribute the multiple pieces of sub-data to the at least one available cloud phone client; obtaining a processing result sent by the at least one available cloud phone client; and in response to verifying that the at least one processing result is correct, integrating the at least one processing result to obtain a processing result of the data to be processed. According to the implementation, high-performance hardware of a cloud phone client can be fully used, and the data processing efficiency is improved.

Description

Method, device, device and storage medium for processing data

This application claims the priority of the Chinese patent application with the application number 202111385370.8 and the title of the invention "Method, device, device and storage medium for processing data" filed on November 22, 2021, the entire contents of which are incorporated by reference in In this application.

technical field

The present disclosure relates to the technical field of computers, in particular to the technical field of cloud mobile phones, and in particular to methods, devices, equipment and storage media for processing data.

Background technique

Some complex calculations (such as scientific calculations, weather forecasts, blockchain proof of work, etc.) cannot quickly get the calculation results on the cloud phone, or cannot be calculated due to the limited memory/storage space of the cloud phone. However, at this time, the client connected to the cloud mobile phone is often equipped with powerful hardware (such as multi-core desktop-level high-speed CPU, independent graphics card, large-capacity memory and high-speed large-capacity storage, etc.), how to reasonably use the computing power of the cloud mobile phone client is a question that needs to be considered.

Contents of the invention

The present disclosure provides a method, device, device and storage medium for processing data.

According to the first aspect, there is provided a method for processing data, including: dividing the data to be processed into a plurality of sub-data; obtaining at least one available cloud mobile phone client to distribute the plurality of sub-data to at least one available cloud mobile phone client terminal; obtain at least one processing result sent by the available cloud mobile phone client; in response to verifying that at least one processing result is correct, integrate at least one processing result to obtain the processing result of the data to be processed.

According to the second aspect, there is provided a device for processing data, including: a data division unit configured to divide the data to be processed into a plurality of sub-data; a data distribution unit configured to obtain at least one available cloud mobile phone client , to distribute a plurality of sub-data to at least one available cloud mobile phone client; the result acquisition unit is configured to acquire the processing result sent by at least one available cloud mobile phone client; the result integration unit is configured to verify at least one processing result in response Correct, integrate at least one processing result to obtain the processing result of the data to be processed.

According to a third aspect, there is provided an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by at least one processor. Executed by a processor, so that at least one processor can execute the method described in the first aspect.

According to a fourth aspect, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method described in the first aspect.

According to a fifth aspect, a computer program product includes a computer program, and when executed by a processor, the computer program implements the method as described in the first aspect.

It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be readily understood through the following description.

Description of drawings

The accompanying drawings are used to better understand the present solution, and do not constitute a limitation to the present disclosure. in:

FIG. 1 is an exemplary system architecture diagram to which an embodiment of the present disclosure can be applied;

Figure 2 is a flowchart of one embodiment of a method for processing data according to the present disclosure;

FIG. 3 is a schematic diagram of an application scenario of a method for processing data according to the present disclosure;

FIG. 4 is a flowchart of another embodiment of a method for processing data according to the present disclosure;

Fig. 5 is a schematic structural diagram of an embodiment of an apparatus for processing data according to the present disclosure;

FIG. 6 is a block diagram of an electronic device for implementing a method for processing data of an embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

FIG. 1 shows an exemplary system architecture 100 to which an embodiment of the method for processing data or the apparatus for processing data of the present disclosure can be applied.

As shown in FIG. 1 , the system architecture 100 may include cloud

mobile phone clients

101 , 102 , 103 , a network 104 and a server 105 . The network 104 is used to provide a communication link medium between the cloud

mobile phone clients

101 , 102 , 103 and the server 105 . Network 104 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others.

Users can use the cloud

mobile phone clients

101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like. Various communication client applications, such as cloud mobile phone applications, can be installed on the cloud

mobile phone clients

101 , 102 , and 103 .

The cloud

mobile phone clients

101, 102, 103 can be hardware or software. When the cloud

mobile phone clients

101, 102, 103 are hardware, they can be various electronic devices, including but not limited to smart phones, tablet computers, laptop computers, desktop computers and the like. When the cloud

mobile phone clients

101, 102, 103 are software, they can be installed in the electronic devices listed above. It can be implemented as a plurality of software or software modules (for example, to provide distributed services), or as a single software or software module. No specific limitation is made here.

The server 105 may be a server that provides various services, for example, a background server that provides cloud mobile phone services to the cloud

mobile phone clients

101 , 102 , and 103 . The background server can divide the data to be processed into multiple sub-data, and feed each sub-data back to each cloud

mobile phone client

101, 102, 103, so that each cloud

mobile phone client

101, 102, 103 can process each sub-data.

It should be noted that the server 105 may be hardware or software. When the server 105 is hardware, it can be implemented as a distributed server cluster composed of multiple servers, or as a single server. When the server 105 is software, it can be implemented as multiple software or software modules (for example, for providing distributed services), or as a single software or software module. No specific limitation is made here.

It should be noted that the method for processing data provided by the embodiments of the present disclosure is generally executed by the server 105 . Correspondingly, the means for processing data are generally provided in the server 105 .

It should be understood that the number of cloud phone clients, networks and servers in Figure 1 is only illustrative. According to the implementation requirements, there can be any number of cloud phone clients, networks and servers.

Continuing to refer to FIG. 2 , a flow 200 of one embodiment of the method for processing data according to the present disclosure is shown. The method for processing data in this embodiment includes the following steps 201-204.

Step 201, divide the data to be processed into multiple sub-data.

In this embodiment, the executing body of the method for processing data may divide the data to be processed into multiple sub-data. Specifically, the execution subject can be divided according to the data volume of the data to be processed. For example, if the amount of data to be processed is 500M, the data to be processed may be divided into 50 parts. Or, the execution subject can also divide according to the flags in the data to be processed, and the data between any two adjacent flags is regarded as a piece of sub-data.

Step 202, acquire at least one available cloud mobile phone client, so as to distribute a plurality of sub-data to at least one available cloud mobile phone client.

The execution subject can also obtain a list of available cloud mobile phone clients. The above list includes at least one available cloud phone client. Here, the available cloud mobile phone client refers to a cloud mobile phone client that can be used for data processing. The execution subject can obtain the hardware information of the cloud mobile phone client when connecting to the cloud mobile phone client, and judge whether the above hardware information meets the conditions. If the conditions are met, the cloud phone client is considered available. When the execution subject distributes certain sub-data, it can randomly select one of the available cloud mobile phone clients to process the distributed sub-data. It can be understood that when distributing, the execution subject can also obtain the unprocessed sub-data of each cloud mobile phone client to achieve load balancing. Each available cloud mobile phone client can process it after receiving the distributed sub-data. It can be understood that each available cloud mobile phone client can understand the processing method of the sub-data when receiving the sub-data, so as to use the above-mentioned processing method to process the sub-data.

Step 203, obtain at least one processing result that can be sent by the cloud mobile phone client.

Each available cloud mobile phone client can send the processing result to the execution subject after processing the sub-data. The execution subject can verify the processing results after receiving each processing result. Specifically, the execution subject may calculate whether each processing result is logical according to the association relationship between each sub-data. If it is logical, the processing result is deemed correct. If not logical, at least one processing result is assumed to be wrong. At this point, each processing result can be further verified. For example, each processing result is compared with a preset threshold, and if it is greater than the preset threshold, it is considered that the processing result is wrong.

Step 204, in response to verifying that at least one processing result is correct, integrating at least one processing result to obtain a processing result of the data to be processed.

If the executive body verifies that each processing result is correct, it can integrate each processing result. During the integration, logical calculations can be performed on each processing result according to the association relationship between each sub-data, and the processing result of the data to be processed can be obtained.

Continue referring to FIG. 3 , which shows a schematic diagram of an application scenario of the method for processing data according to the present disclosure. In the application scenario of FIG. 3 , the cloud mobile phone server 301 first divides the data to be processed into multiple sub-data according to the data volume, and then distributes each sub-data to each available cloud mobile phone client 302 . Each available cloud mobile phone client 302 sends the obtained processing result to the cloud mobile phone server 301 after processing each sub-data. The cloud phone server 301 can integrate the processing results to obtain the processing results of the data to be processed.

The method for processing data provided by the above embodiments of the present disclosure can make full use of the high-performance hardware of the cloud mobile phone client to improve data processing efficiency.

Continue referring to FIG. 4 , which shows a flow 400 of another embodiment of the method for processing data according to the present disclosure. As shown in FIG. 4 , the method of this embodiment may include the following steps 401 - 408 .

Step 401, divide the data to be processed into a plurality of sub-data according to the data volume of the data to be processed.

In this embodiment, the execution subject may first obtain the data volume of the data to be processed, and then divide the data to be processed into multiple sub-data according to the data volume. For example, if the amount of data to be processed is greater than 500M, the data to be processed may be divided into 100 pieces of sub-data. If the amount of data to be processed is less than 100M, the data to be processed can be divided into 50 pieces of sub-data.

Step 402, acquire at least one available cloud mobile phone client, so as to distribute a plurality of sub-data to the at least one available cloud mobile phone client.

Step 403, obtaining at least one processing result sent by the available cloud phone client.

Step 404, for each cloud mobile phone client, verify the processing result returned by the cloud mobile phone client according to the processing result returned by the cloud mobile phone client and the preset value corresponding to the sub-data distributed to the cloud mobile phone client.

In this embodiment, the execution subject can verify the processing results returned by each cloud phone client. The specific verification method may be: comparing the processing result returned by the cloud mobile phone client with the preset value corresponding to the sub-data distributed to the cloud mobile phone client, and if the preset condition is met, the above processing result is considered correct. The aforementioned preset conditions may include, but are not limited to: the processing result is smaller than the aforementioned preset value, and the value obtained after the processing result is specified and calculated is equal to the aforementioned preset value.

Step 405, for each sub-data, in response to determining that the processing result of the sub-data is correct, change the processing status of the sub-data to processed. In response to determining that the processing result of the sub-data is wrong, the sub-data is redistributed to other available cloud phone clients.

If the execution subject determines that the processing result of each sub-data is correct, the processing status of the sub-data may be changed. The processing status of subdata may include unprocessed and processed. If the processing status of the sub-data is unprocessed, the sub-data can be distributed to each cloud mobile phone client. If the processing status of the subdata is processed, it can no longer be distributed.

Step 406, in response to verifying that at least one processing result is correct, integrating at least one processing result to obtain a processing result of the data to be processed.

Step 407, for each sub-data, redistribute the sub-data to other available cloud mobile phone clients in response to determining that the processing result of the sub-data is wrong.

In this embodiment, if the execution subject determines that the processing result of certain sub-data is wrong after verification, then the execution subject can redistribute the sub-data to other available cloud mobile phone clients, so that other available cloud mobile phone clients can perform sub-data processing again. Data is processed to obtain processing results.

Step 408, for each cloud mobile phone client, determine the remuneration of the cloud mobile phone client according to the amount of sub-data processed by the cloud mobile phone client within a preset time period.

In this embodiment, the execution subject may also calculate remuneration for each cloud mobile phone client participating in sub-data processing. Specifically, the execution subject may calculate the remuneration at intervals (for example, one month). When calculating, it can be obtained by proportional conversion according to the amount of sub-data processed by each cloud mobile phone client within a preset time period.

In some optional implementations of this embodiment, the above method may also include the following steps: for each cloud mobile phone client, determine the calling service of the cloud mobile phone client according to the received service call information from the cloud mobile phone client Fees; the above-mentioned call fees are deducted from the remuneration of the cloud mobile phone client.

In this implementation, the executive body can provide various services for the cloud phone client. The cloud mobile phone client can send a service invocation request to the executive body, and the executive body can provide service invocation interfaces for each cloud mobile phone client after receiving the above request, so that the cloud mobile phone client can call the above services. The executive body can determine the calling fee of each cloud mobile phone client according to the times and/or duration of calling the service. Then, the executive body can deduct the above-mentioned call fee from the remuneration of each cloud mobile phone client. In this way, the cloud mobile phone client does not need to pay the above-mentioned call fee through the designated payment method.

The method for processing data provided by the above-mentioned embodiments of the present disclosure can calculate the remuneration for data processing for each cloud mobile phone client, and can use the above-mentioned remuneration to pay fees, which improves convenience.

Further referring to FIG. 5 , as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of a device for processing data, which corresponds to the method embodiment shown in FIG. 2 , the The device can be specifically applied to various electronic devices.

As shown in FIG. 5 , the apparatus 500 for processing data in this embodiment includes: a data division unit 501 , a data distribution unit 502 , a result acquisition unit 503 and a result integration unit 504 .

The data division unit 501 is configured to divide the data to be processed into a plurality of sub-data.

The data distributing unit 502 is configured to acquire at least one available cloud mobile phone client, so as to distribute a plurality of sub-data to at least one available cloud mobile phone client.

The result obtaining unit 503 is configured to obtain at least one processing result that can be sent by the cloud mobile phone client.

The result integration unit 504 is configured to, in response to verifying that at least one processing result is correct, integrate at least one processing result to obtain a processing result of the data to be processed.

In some optional implementations of this embodiment, the device 500 may also include a state changing unit configured to: for each sub-data, in response to determining that the processing result of the sub-data is correct, change the processing state of the sub-data is processed.

In some optional implementations of this embodiment, the apparatus 500 may further include a redistribution unit configured to: for each subdata, in response to determining that the processing result of the subdata is wrong, redistribute the subdata to other Available cloud mobile phone client.

In some optional implementations of this embodiment, the device 500 may also include a remuneration calculation unit configured to: for each cloud mobile phone client, according to the sub-data processed by the cloud mobile phone client within a preset time period The amount determines the remuneration of the cloud mobile client.

In some optional implementations of this embodiment, the device 500 may also include a fee deduction unit configured to: for each cloud mobile phone client, determine the The calling fee of the cloud mobile phone client; the calling fee is deducted from the remuneration of the cloud mobile phone client.

In some optional implementation manners of this embodiment, the data division unit 501 may be further configured to: divide the data to be processed into multiple sub-data according to the data volume of the data to be processed.

In some optional implementations of this embodiment, the device 500 may also include a result verification unit configured to: for each cloud mobile phone client, according to the processing results returned by the cloud mobile phone client and distributed to the cloud mobile phone The preset value corresponding to the sub-data of the client is used to verify the processing result returned by the cloud mobile client.

It should be understood that the units 501 to 504 recorded in the apparatus 500 for processing data respectively correspond to the steps in the method described with reference to FIG. 2 . Therefore, the operations and features described above for the method for processing data are also applicable to the device 500 and the units contained therein, and will not be repeated here.

In the technical solution of this disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved are all in compliance with relevant laws and regulations, and do not violate public order and good customs.

According to the embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

FIG. 6 shows a block diagram of an electronic device 600 performing a method for processing data according to an embodiment of the present disclosure. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.

As shown in FIG. 6, an electronic device 600 includes a processor 601, which can execute according to a computer program stored in a read-only memory (ROM) 602 or loaded from a memory 608 into a random access memory (RAM) 603. Various appropriate actions and treatments. In the RAM 603, various programs and data necessary for the operation of the electronic device 600 can also be stored. The processor 601, ROM 602, and RAM 603 are connected to each other through a bus 604. An I/O interface (input/output interface) 605 is also connected to the bus 604 .

Multiple components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606, such as a keyboard, a mouse, etc.; an output unit 607, such as various types of displays, speakers, etc.; a memory 608, such as a magnetic disk, an optical disk, etc. ; and a communication unit 609, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

Processor 601 may be various general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 601 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various dedicated artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 601 executes various methods and processes described above, such as methods for processing data. For example, in some embodiments, the methods for processing data may be implemented as a computer software program tangibly embodied on a machine-readable storage medium, such as memory 608 . In some embodiments, part or all of the computer program can be loaded and/or installed on the electronic device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by processor 601, one or more steps of the method for processing data described above may be performed. Alternatively, in other embodiments, the processor 601 may be configured in any other suitable manner (for example, by means of firmware) to execute the method for processing data.

Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips Implemented in a system of systems (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor Can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.

Program codes for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. The above program code can be packaged into a computer program product. These program codes or computer program products may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, so that the program codes, when executed by the processor 601, make the flow diagrams and/or block diagrams specified The function/operation is implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present disclosure, a machine-readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. The machine-readable storage medium may be a machine-readable signal storage medium or a machine-readable storage medium. A machine-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

To provide for interaction with the user, the systems and techniques described herein can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user. ); and a keyboard and pointing device (eg, a mouse or a trackball) through which a user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, speech input or, tactile input) to receive input from the user.

The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., as a a user computer having a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system can be interconnected by any form or medium of digital data communication, eg, a communication network. Examples of communication networks include: Local Area Network (LAN), Wide Area Network (WAN) and the Internet.

A computer system may include clients and servers. Clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the problem of traditional physical host and VPS service ("Virtual Private Server", or "VPS") Among them, there are defects such as difficult management and weak business scalability. The server can also be a server of a distributed system, or a server combined with a blockchain.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, each step described in the present disclosure may be executed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution of the present disclosure can be achieved, no limitation is imposed herein.

The specific implementation manners described above do not limit the protection scope of the present disclosure. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present disclosure shall fall within the protection scope of the present disclosure.

Claims

A method for processing data comprising:

Divide the data to be processed into multiple sub-data;

Obtain at least one available cloud mobile phone client, so as to distribute the plurality of sub-data to the at least one available cloud mobile phone client;

Obtain the processing result sent by the at least one available cloud mobile phone client;

In response to verifying that at least one processing result is correct, the at least one processing result is integrated to obtain a processing result of the data to be processed.
The method according to claim 1, wherein the method further comprises:

For each sub-data, the processing status of the sub-data is changed to processed in response to determining that the processing result of the sub-data is correct.
The method according to claim 2, wherein the method further comprises:

For each sub-data, in response to determining that the processing result of the sub-data is wrong, the sub-data is redistributed to other available cloud mobile phone clients.
The method according to claim 1, wherein the method further comprises:

For each cloud mobile phone client, the remuneration of the cloud mobile phone client is determined according to the amount of sub-data processed by the cloud mobile phone client within a preset time period.
The method according to claim 4, wherein the method further comprises:

For each cloud mobile phone client, determine the calling fee of the cloud mobile phone client according to the received service call information from the cloud mobile phone client;

The calling fee is deducted from the remuneration of the cloud mobile phone client.
The method according to claim 1, wherein said dividing the data to be processed into a plurality of sub-data comprises:

According to the data amount of the data to be processed, the data to be processed is divided into a plurality of sub-data.
The method according to claim 1, wherein the method further comprises:

For each cloud mobile phone client, verify the processing result returned by the cloud mobile phone client according to the processing result returned by the cloud mobile phone client and the preset value corresponding to the sub-data distributed to the cloud mobile phone client.
A device for processing data, comprising:

a data division unit configured to divide the data to be processed into a plurality of sub-data;

The data distribution unit is configured to obtain at least one available cloud mobile phone client, so as to distribute the plurality of sub-data to the at least one available cloud mobile phone client;

The result obtaining unit is configured to obtain the processing result sent by the at least one available cloud mobile phone client;

The result integration unit is configured to, in response to verifying that at least one processing result is correct, integrate the at least one processing result to obtain a processing result of the data to be processed.
The device according to claim 8, wherein the device further comprises a state changing unit configured to:

For each sub-data, the processing status of the sub-data is changed to processed in response to determining that the processing result of the sub-data is correct.
The device according to claim 9, wherein the device further comprises a redistribution unit configured to:

For each sub-data, in response to determining that the processing result of the sub-data is wrong, the sub-data is redistributed to other available cloud mobile phone clients.
The device according to claim 8, wherein the device further comprises a remuneration calculation unit configured to:

For each cloud mobile phone client, the remuneration of the cloud mobile phone client is determined according to the amount of sub-data processed by the cloud mobile phone client within a preset time period.
The device according to claim 11, wherein the device further comprises a fee deduction unit configured to:

For each cloud mobile phone client, determine the calling fee of the cloud mobile phone client according to the received service call information from the cloud mobile phone client;

The calling fee is deducted from the remuneration of the cloud mobile phone client.
The device according to claim 8, wherein the data division unit is further configured to:

According to the data amount of the data to be processed, the data to be processed is divided into a plurality of sub-data.
The device according to claim 8, wherein the device further comprises a result verification unit configured to:

For each cloud mobile phone client, verify the processing result returned by the cloud mobile phone client according to the processing result returned by the cloud mobile phone client and the preset value corresponding to the sub-data distributed to the cloud mobile phone client.
An electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can perform any one of claims 1-7. Methods.
A non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method according to any one of claims 1-7.
A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.