WO2023088462A1 - Procédé et appareil de traitement de données, dispositif et support d'enregistrement - Google Patents

Procédé et appareil de traitement de données, dispositif et support d'enregistrement Download PDF

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Publication number
WO2023088462A1
WO2023088462A1 PCT/CN2022/133197 CN2022133197W WO2023088462A1 WO 2023088462 A1 WO2023088462 A1 WO 2023088462A1 CN 2022133197 W CN2022133197 W CN 2022133197W WO 2023088462 A1 WO2023088462 A1 WO 2023088462A1
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WIPO (PCT)
Prior art keywords
data
mobile phone
cloud mobile
sub
phone client
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PCT/CN2022/133197
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English (en)
Chinese (zh)
Inventor
石启铮
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北京百度网讯科技有限公司
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Publication of WO2023088462A1 publication Critical patent/WO2023088462A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/5044—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering hardware capabilities

Definitions

  • 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.
  • Some complex calculations 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.
  • 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.
  • the present disclosure provides a method, device, device and storage medium for processing data.
  • 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.
  • 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.
  • 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.
  • a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method described in the first 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.
  • 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.
  • 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.
  • 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.
  • Cloud mobile phone clients 101, 102, 103 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.
  • 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.
  • 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.
  • the server 105 may be hardware or software.
  • the server 105 can be implemented as a distributed server cluster composed of multiple servers, or as a single server.
  • 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.
  • the method for processing data provided by the embodiments of the present disclosure is generally executed by the server 105 .
  • the means for processing data are generally provided in the server 105 .
  • 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.
  • the executing body of the method for processing data may divide the data to be processed into multiple sub-data.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • FIG. 3 shows a schematic diagram of an application scenario of the method for processing data according to the present disclosure.
  • 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.
  • FIG. 4 shows a flow 400 of another embodiment of the method for processing data according to the present disclosure.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 .
  • the I/O interface 605 includes: 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.
  • 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 .
  • 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.
  • 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.
  • 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.
  • FPGAs field programmable gate arrays
  • ASICs application specific integrated circuits
  • ASSPs application specific standard products
  • SOC system of systems
  • CPLD load programmable logic device
  • computer hardware firmware, software, and/or combinations thereof.
  • 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.
  • 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.
  • 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.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory erasable programmable read only memory
  • CD-ROM compact disk read-only memory
  • magnetic storage devices or any suitable combination of the foregoing.
  • 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.
  • a display device e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor
  • a keyboard and pointing device eg, a mouse or a trackball
  • 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.
  • steps may be reordered, added or deleted using the various forms of flow shown above.
  • 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.

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Abstract

La présente divulgation concerne le domaine technique des téléphones en nuage, et concerne un procédé et un appareil de traitement de données, un dispositif et un support d'enregistrement. Une solution de mise en œuvre spécifique comprend : la division de données à traiter en de multiples éléments de sous-données ; l'obtention d'au moins un client de téléphone en nuage disponible pour distribuer les multiples éléments de sous-données audit au moins un client de téléphone en nuage disponible ; l'obtention d'un résultat de traitement envoyé par ledit au moins un client de téléphone en nuage disponible ; et en réponse à la vérification que le ou les résultats de traitement sont corrects, l'intégration du ou des résultats de traitement pour obtenir un résultat de traitement des données à traiter. Selon la mise en œuvre, un matériel à haute performance d'un client de téléphone en nuage peut être complètement utilisé et l'efficacité de traitement de données est améliorée.
PCT/CN2022/133197 2021-11-22 2022-11-21 Procédé et appareil de traitement de données, dispositif et support d'enregistrement WO2023088462A1 (fr)

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