WO2021046674A1 - 数据处理方法、装置、电子设备和计算机可读存储介质 - Google Patents

数据处理方法、装置、电子设备和计算机可读存储介质 Download PDF

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Publication number
WO2021046674A1
WO2021046674A1 PCT/CN2019/104878 CN2019104878W WO2021046674A1 WO 2021046674 A1 WO2021046674 A1 WO 2021046674A1 CN 2019104878 W CN2019104878 W CN 2019104878W WO 2021046674 A1 WO2021046674 A1 WO 2021046674A1
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WIPO (PCT)
Prior art keywords
data
processed
terminal
side device
capability information
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PCT/CN2019/104878
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English (en)
French (fr)
Inventor
洪伟
Original Assignee
北京小米移动软件有限公司
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Publication date
Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2019/104878 priority Critical patent/WO2021046674A1/zh
Priority to US17/641,347 priority patent/US20220342706A1/en
Priority to EP19945031.3A priority patent/EP4030817A4/en
Priority to CN201980001929.7A priority patent/CN110730954A/zh
Publication of WO2021046674A1 publication Critical patent/WO2021046674A1/zh

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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
    • G06F9/5027—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
    • 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
    • G06F9/505—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 the load
    • 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]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5072—Grid computing
    • 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]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
    • 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]
    • G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • 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
    • G06F9/54—Interprogram communication
    • G06F9/547—Remote procedure calls [RPC]; Web services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/50—Indexing scheme relating to G06F9/50
    • G06F2209/501—Performance criteria
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/50—Indexing scheme relating to G06F9/50
    • G06F2209/503—Resource availability
    • G—PHYSICS
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    • G06F2209/50—Indexing scheme relating to G06F9/50
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/54—Indexing scheme relating to G06F9/54
    • G06F2209/549—Remote execution
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup

Definitions

  • the present disclosure relates to the field of communication technology, and in particular, to data processing methods, data processing devices, electronic equipment, and computer-readable storage media.
  • the main function of the network-side device is to configure time-frequency resources used for communication for the terminal, and generally does not play other roles.
  • the amount of data required to be processed by the terminal is increasing, and the performance of the network-side equipment has also been greatly improved. If only the network-side equipment is used to configure time-frequency resources for the terminal, it will be difficult to fully Utilizing the performance of the network-side equipment, and due to the limited ability of the terminal to process data, the problem of high latency for the terminal to process data may occur.
  • the embodiments of the present disclosure propose a data processing method, a data processing device, an electronic device, and a computer-readable storage medium to solve technical problems in the related art.
  • a data processing method which is suitable for a terminal, and the method includes:
  • the data to be processed is sent to the network side device for processing.
  • a data processing method which is applicable to a network side device, and the method includes:
  • a data processing device which is suitable for a terminal, and the device includes:
  • the information receiving module is configured to receive data processing capability information sent by the network side device
  • the requirement determination module is configured to determine whether the capability information meets the preset requirements of the data to be processed
  • the data sending module is configured to send the to-be-processed data to the network side device for processing when the capability information meets preset requirements.
  • a data processing device which is suitable for network-side equipment, and the device includes:
  • the information sending module is configured to send data processing capability information to the terminal
  • a data receiving module configured to receive the to-be-processed data sent by the terminal
  • the data processing module is configured to process the to-be-processed data.
  • an electronic device including:
  • a memory for storing processor executable instructions
  • the processor is configured to implement the data processing method suitable for the terminal described in any of the foregoing embodiments.
  • an electronic device including:
  • a memory for storing processor executable instructions
  • the processor is configured to implement the data processing method suitable for the network side device described in any of the foregoing embodiments.
  • a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the data processing method applicable to a terminal described in any of the above embodiments is implemented A step of.
  • a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the data processing applicable to the network side device described in any of the above embodiments is realized Steps in the method.
  • the terminal can hand over the data to be processed to the network-side device for processing, so as to reduce the load of the processor in the terminal, and the processing capability of the network-side device is generally stronger than that of the terminal, which is beneficial to improve the data to be processed.
  • Processing speed reduce the time delay of processing the data to be processed, and make full use of the performance of the network side device; on the other hand, because the network side device sends the capability information to the terminal, the terminal can accurately confirm that the data to be processed is handed over to the network side device Processing, whether the preset requirements of the data to be processed can be met, and only when the preset requirements are met, can the data to be processed be sent to the network side device for processing, which helps to ensure that the data to be processed is sent to the network side device for processing. Able to meet the needs of end users.
  • Fig. 1 is a schematic flowchart of a data processing method according to an embodiment of the present disclosure.
  • Fig. 2 is a schematic flowchart showing another data processing method according to an embodiment of the present disclosure.
  • Fig. 3 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 4 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 5 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 6 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 7 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 8 is a schematic flowchart showing a data processing method according to an embodiment of the present disclosure.
  • Fig. 9 is a schematic flowchart showing another data processing method according to an embodiment of the present disclosure.
  • Fig. 10 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 11 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure.
  • Fig. 12 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • Fig. 13 is a schematic block diagram showing another data processing device according to an embodiment of the present disclosure.
  • Fig. 14 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure.
  • Fig. 15 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure.
  • Fig. 16 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure.
  • Fig. 17 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure.
  • Fig. 18 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure.
  • Fig. 19 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • Fig. 20 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • Fig. 21 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • Fig. 22 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • Fig. 23 is a schematic structural diagram showing a device for data processing according to an embodiment of the present disclosure.
  • Fig. 24 is a schematic structural diagram showing a device for data processing according to an embodiment of the present disclosure.
  • Fig. 1 is a schematic flowchart of a data processing method according to an embodiment of the present disclosure.
  • the data processing method shown in this embodiment can be applied to terminals, which include but are not limited to electronic devices such as mobile phones, tablet computers, and wearable devices.
  • the terminals can be used as user equipment and network-side devices (such as base stations, core networks).
  • Multi-access edge computing server communication for example, can communicate with network-side equipment based on 4G LTE (Long Term Evolution), or communicate with network-side equipment based on 5G NR (New Radio, new air interface).
  • 4G LTE Long Term Evolution
  • 5G NR New Radio, new air interface
  • the terminal and the network-side device may have AI (Artificial Intelligence) capabilities. Based on the AI capabilities, the terminal can quickly process information such as images, videos, languages, texts, etc., in order to quickly respond to user operations, Compared with the terminal, the network side device can process a larger amount of data, and the processing speed can be faster than that of the terminal. For example, the network side device can use a large amount of data as a sample to perform machine learning to obtain a machine learning model for processing the data.
  • AI Artificial Intelligence
  • the data processing method may include the following steps:
  • step S1 receiving the data processing capability information sent by the network side device
  • step S2 it is determined whether the capability information meets the preset requirements of the data to be processed.
  • step S3 if the capability information meets the preset requirement, the data to be processed is sent to the network side device for processing.
  • the network-side device may send data processing capability information to the terminal, such as the data processing speed (the amount of data that can be processed in a unit time), the time delay of processing data, the amount of data that can be processed, and so on.
  • data processing speed the amount of data that can be processed in a unit time
  • time delay of processing data the amount of data that can be processed
  • the terminal can determine whether the capability information meets the preset requirements of the data to be processed. For example, if the capability information is speed, the preset requirement may be the preset speed required to process the data to be processed. The terminal determines whether the capability information meets the preset requirement, specifically whether the speed of processing data is greater than the preset speed; for example, capability information Is the delay, then the preset requirement may be the preset time allowed for processing the data to be processed, and the terminal determines whether the capability information meets the preset requirements, specifically it may determine whether the delay of processing the data is less than the preset time delay; for example, capability The information is the amount of data, then the preset requirement can be the preset amount of data.
  • the capability information is the amount of data
  • the preset requirement can be the preset amount of data.
  • the preset amount of data can be set as needed, or it can be related to the amount of data to be processed, for example, it is positively correlated with the amount of data to be processed, and the terminal determines the capability information Whether the preset requirements are met may specifically be to determine whether the amount of data that can be processed by the network side device is greater than the preset amount of data.
  • the preset requirements can be fixed or variable.
  • the preset requirement is a preset speed
  • the preset speed may be fixed. Then, in step S2, the terminal can always determine whether the data processing speed of the network side device is greater than the preset speed.
  • the preset requirement is the preset data amount
  • the preset data amount may be variable.
  • the preset data amount may be different, for example, the preset data amount may be equal to the data of the data to be processed
  • the terminal can first determine the data volume of the data to be processed, and then compare the data volume of the data at the agency as the preset data volume with the data volume that the network-side device can process data to determine the network-side device Whether the amount of data that can be processed is greater than the preset amount of data.
  • the terminal can hand over the data to be processed to the network-side device for processing, so as to reduce the load of the processor in the terminal, and the processing capability of the network-side device is generally stronger than that of the terminal, which is beneficial to improve the data to be processed. Processing speed, reduce the time delay of processing the data to be processed, and make full use of the performance of the network side equipment.
  • the terminal can accurately confirm that the data to be processed is handed over to the network side equipment Processing, whether the preset requirements of the data to be processed can be met, and only when the preset requirements are met, can the data to be processed be sent to the network side device for processing, which helps to ensure that the data to be processed is sent to the network side device for processing. Able to meet the needs of end users.
  • the capability information is included in broadcast signaling, or included in unicast signaling.
  • the network-side device can broadcast the capability information through broadcast signaling, so all terminals that listen to the broadcast signaling can learn the capability information of the network-side device; the network-side device can also broadcast the capability information through unicast signaling. If the capability information is sent to one or several terminals in a targeted manner, only the terminal that receives the unicast signaling can learn the capability information of the network-side device.
  • Fig. 2 is a schematic flowchart showing another data processing method according to an embodiment of the present disclosure. As shown in Figure 2, the capability information is included in broadcast signaling. Before sending the data to be processed to the network side device, the method further includes:
  • step S4 a connection establishment request is sent to the network side device to establish a connection with the network side device.
  • the terminal may monitor the broadcast signaling before establishing a connection with the network-side device, but in order to send the data to be processed to the network-side device, it needs to be processed first. Establish a connection with the network side device.
  • a connection establishment request can be sent to the network-side device to establish a connection with the network-side device, such as establishing an RRC (Radio Resource Control, radio resource control) connection, and the terminal can send the data to be processed to the network-side device through the established connection .
  • RRC Radio Resource Control, radio resource control
  • the terminal When the capability information is included in the unicast signaling, the terminal receives the unicast signaling from the network-side device through the connection with the network-side device. Therefore, when the terminal can receive the unicast signaling, the terminal receives the unicast signaling. A connection is established with the network-side device, so that the data to be processed can be directly sent to the network-side device through the connection.
  • Fig. 3 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in FIG. 3, before sending the data to be processed to the network side device, the method includes:
  • step S5 a request for processing the to-be-processed data is sent to the network side device;
  • the data to be processed is sent to the network-side device.
  • the network-side device may not allow the terminal to send the data to be processed to the network-side device.
  • the network-side device may not be allowed to send data to be processed to the network-side device. If the terminal receives data to be processed from the terminal several times in a short period of time, and the terminal is blacklisted, and the data from the terminal is not processed for a period of time, the terminal will directly send the data to be processed to the network side device , The network side device also does not process the data to be processed, which leads to waste of resources occupied by the terminal sending the data to be processed.
  • the terminal can first send a request for processing the data to be processed to the network side device. After the network side device receives the request for processing the data to be processed, if the terminal is allowed to send the data to be processed to the network side device, it can be targeted at all The request feeds the permission information back to the terminal, and the terminal sends the data to be processed to the network side device only after receiving the permission information. According to this, it is beneficial to ensure that after the terminal sends the data to be processed to the network side device, the network side device can process the data to be processed, to ensure that the operation of the terminal to send the data to be processed to the network side device is effective, and to avoid waste of resources.
  • the capability information includes at least one of the following:
  • the capability information is speed
  • the preset requirement may be a preset speed
  • the terminal determines whether the capability information meets the preset requirement, specifically, it may determine whether the speed of processing data is greater than the preset speed.
  • the capability information is a time delay
  • the preset requirement may be a preset time delay
  • the terminal determines whether the capability information meets the preset requirement, specifically, it may determine whether the time delay for processing data is less than the preset time delay.
  • the capability information is the amount of data (specifically, the amount of data that the network side device can process data)
  • the preset requirement may be the preset amount of data
  • the terminal determines whether the capability information meets the preset requirement, which may specifically be Determine whether the amount of data that can be processed by the network-side device is greater than the preset amount of data.
  • the capability information can include at least one of three items: speed, time delay, and data volume. If only one item is included, then only need to determine whether this item of capability information meets the preset requirements, and if it contains more than one item, then it is necessary Respectively determine whether each capability information meets the preset requirements.
  • Fig. 4 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in Figure 4, the method further includes:
  • step S6 data obtained after the network side device has processed the data to be processed is received.
  • the network side device may process the data to be processed, and send the processed data back to the terminal, and the terminal may receive the processed data.
  • Fig. 5 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in FIG. 5, before determining whether the capability information meets the preset requirements of the data to be processed, the method further includes:
  • step S7 determine whether the to-be-processed data needs to be processed by the network-side device according to the state information of the terminal;
  • step S2 is executed to determine whether the capability information meets the preset requirements of the data to be processed.
  • the terminal may first obtain its own state information.
  • the state information includes at least one of the following: power, processor load, Furthermore, it is determined whether the data to be processed needs to be processed by the network side device according to the status information.
  • the terminal can determine whether the power is lower than the preset power. If the power is lower than the preset power, if the terminal is still processing the data to be processed, the power of the terminal will be quickly exhausted. Therefore, in this case, it can be determined that the to-be-processed data needs to be processed by the network-side device in order to send the to-be-processed data to the network-side device, which helps to ensure that the terminal can last a long time based on the remaining power.
  • the terminal can determine whether the processor load is higher than the preset load. If it is higher than the preset load, if the terminal is still processing the data to be processed, then the terminal's processing speed for the data to be processed It may be slow and difficult to process other content. Therefore, in this case, it can be determined that the data to be processed needs to be processed by the network side device in order to send the data to be processed to the network side device, which helps to ensure that the processor of the terminal can process other content more efficiently, and the data to be processed It can be processed efficiently by network-side equipment.
  • Fig. 6 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in FIG. 6, before determining whether the capability information meets the preset requirements of the data to be processed, the method further includes:
  • step S8 it is determined whether the data to be processed needs to be processed by the network side device according to the attribute information of the data to be processed;
  • step S2 is executed to determine whether the capability information meets the preset requirements of the data to be processed.
  • the terminal may first obtain the attribute information of the data to be processed.
  • the attribute information includes at least one of the following: data volume, data Type, and then determine whether the to-be-processed data needs to be processed by the network side device according to the attribute information of the to-be-processed data.
  • the terminal can determine whether the amount of data is greater than the preset data, and if it is lower than the preset data amount (it can be the same as the preset data amount in the embodiment shown in FIG. 1 or different) If the terminal is still processing the data to be processed, since the processing capacity of the terminal is generally lower than that of the network-side equipment, processing a larger amount of data will cause excessive delay.
  • the data to be processed needs to be processed by the network side device in order to send the data to be processed to the network side device to ensure that the data to be processed can be processed in a relatively short time and reduce the processing of the data to be processed
  • the delay is conducive to ensuring the user experience.
  • the terminal can determine whether the data type is a preset type, where the preset type can be set as required, for example, the preset type requires a machine learning model to process, because the machine learning model requires A large amount of data is used as training samples and obtained by machine learning. In some cases, it is necessary to continuously update the model based on a large amount of data. There are more data to be processed and the processing process is more complicated. If the terminal is still processing the data to be processed , Then the terminal's processing speed for the data to be processed may be slower.
  • the data to be processed needs to be processed by the network side device in order to send the data to be processed to the network side device. Due to the strong processing capability of the network side device, it is convenient to perform machine learning based on a large amount of data as a sample. Obtaining a machine learning model is therefore beneficial to ensure that the data to be processed can be processed in a relatively short period of time, reducing the time delay of processing the data to be processed, so as to ensure the user experience.
  • Fig. 7 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in Figure 7, the method further includes:
  • step S9 if the capability information does not meet preset requirements, the terminal processes the data to be processed.
  • the network-side device's ability to process data does not meet the preset requirements, then the terminal can process the to-be-processed data in person to ensure that the to-be-processed data can be processed in a short time When finished, reduce the time delay of processing the data to be processed in order to ensure the user experience.
  • the embodiments shown in FIG. 5 and FIG. 6 can be combined with the embodiment shown in FIG. 7.
  • the terminal can estimate that the data to be processed is processed by the terminal itself.
  • the second delay may include the delay for the terminal to send the data to be processed to the network-side device, and the delay for the network-side device to process the data to be processed , And the time delay for the network side device to send the processed data to the terminal), and then compare the first time delay and the second time delay. If the first time delay is greater than the second time delay, the data to be processed can be sent to the network side For device processing, if the first delay is less than or equal to the second delay, the terminal can process the data to be processed in person.
  • Fig. 8 is a schematic flowchart showing a data processing method according to an embodiment of the present disclosure.
  • the data processing method shown in this embodiment can be applied to network-side devices.
  • the network-side devices include but are not limited to base stations, core networks, and multi-access edge computing servers.
  • the network-side devices can communicate with terminals.
  • Electronic devices including but not limited to mobile phones, tablet computers, wearable devices, etc., for example, can communicate with the terminal based on 4G LTE, or can communicate with the terminal based on 5G NR.
  • the terminal and the network side device may have AI capabilities. Based on the AI capabilities, the terminal can quickly process image, video, language, text and other information in order to quickly respond to user operations. Compared with the terminal, the network side device A larger amount of data can be processed, and the processing speed can be faster than that of a terminal. For example, a network side device can use a large amount of data as a sample to perform machine learning to obtain a model for processing the data.
  • the data processing method may include the following steps:
  • step S1' send data processing capability information to the terminal
  • step S2' receiving the to-be-processed data sent by the terminal
  • step S3' the data to be processed is processed.
  • the network-side device may send data processing capability information to the terminal, such as the data processing speed (the amount of data that can be processed in a unit time), the time delay of processing data, the amount of data that can be processed, and so on. So that the terminal can determine whether the capability information meets the preset requirements of the data to be processed based on the received capability information.
  • the network-side device can process the data to be processed sent by the terminal, which is beneficial to reduce the load of the processor in the terminal, and the processing capability of the network-side device is generally stronger than that of the terminal. It is helpful to improve the processing speed of the data to be processed.
  • the terminal since the network side device sends the capability information to the terminal, the terminal can accurately confirm whether the data to be processed can be processed by the network side device to meet the preset requirements of the data to be processed. , And only when the preset requirements are met, the data to be processed is sent to the network side device for processing, which helps to ensure that the data to be processed is sent to the network side device for processing and can meet the needs of end users.
  • the capability information is included in broadcast signaling, or included in unicast signaling.
  • the network-side device can broadcast the capability information through broadcast signaling, so all terminals that listen to the broadcast signaling can learn the capability information of the network-side device; the network-side device can also broadcast the capability information through unicast signaling. If the capability information is sent to one or several terminals in a targeted manner, only the terminal that receives the unicast signaling can learn the capability information of the network-side device.
  • Fig. 9 is a schematic flowchart showing another data processing method according to an embodiment of the present disclosure. As shown in Figure 9, the capability information is included in broadcast signaling. Before receiving the to-be-processed data sent by the terminal, the method further includes:
  • step S4' a connection establishment request sent by the terminal is received to establish a connection with the terminal.
  • the network-side device may broadcast the broadcast signaling before establishing a connection with the terminal, but in order to receive the data to be processed from the terminal, it needs to communicate with the terminal first. establish connection.
  • a connection establishment request sent by the terminal can be received to establish a connection with the terminal, for example, an RRC connection is established, and then the network-side device can receive the data to be processed through the established connection.
  • the network-side device When the capability information is included in the unicast signaling, the network-side device sends the unicast signaling to the terminal through the connection with the terminal. Therefore, when the terminal can receive the unicast signaling, it has already communicated with the network. The side device establishes a connection, so that the data to be processed sent by the terminal can be directly received through the connection.
  • Fig. 10 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in FIG. 10, before receiving the to-be-processed data sent by the terminal, the method includes:
  • step S5' receiving a request for processing the to-be-processed data sent by the terminal;
  • step S6' permission information is sent to the terminal in response to the request.
  • the network-side device may not allow the terminal to send the data to be processed to the network-side device.
  • the network-side device may not be allowed to send data to be processed to the network-side device. If the terminal receives data to be processed from the terminal several times in a short period of time, and the terminal is blacklisted, and the data from the terminal is not processed for a period of time, the terminal will directly send the data to be processed to the network side device , The network side device also does not process the data to be processed, which leads to waste of resources occupied by the terminal sending the data to be processed.
  • the network-side device may first receive the request for processing the data to be processed from the terminal. After the network-side device receives the request for processing the data to be processed, if the terminal is allowed to send the data to be processed to the network-side device, it can be targeted The request feeds the permission information back to the terminal, and the terminal sends the data to be processed to the network side device only after receiving the permission information. Accordingly, it is beneficial to ensure that after the terminal sends the data to be processed to the network side device, the network side device can process the data to be processed, ensuring that the operation of the terminal to send the data to be processed to the network side device is effective, and avoiding waste of resources
  • the capability information includes at least one of the following:
  • the network-side device may determine the capability information according to its own data processing capability and/or network resource configuration. For example, if the capability information is processing speed, the network-side device can determine the amount of data that can be processed in a unit time according to its own data processing capability as the speed. For example, if the capability information is delay, the network-side device can determine the amount of data that can be processed according to the network resource configuration. (For example, configure the terminal to configure the length of time between the resource uploading the data to be processed and the current time) to determine the delay.
  • Fig. 11 is a schematic flowchart showing yet another data processing method according to an embodiment of the present disclosure. As shown in Figure 11, the method further includes:
  • step S7' the data obtained by processing the data to be processed is sent to the terminal.
  • the network side device may process the data to be processed, and send the processed data back to the terminal, and the terminal may receive the processed data.
  • the network side device can select time domain resources and frequency domain resources according to needs to send the data to be processed to the terminal.
  • the present disclosure also provides an embodiment of a data processing device.
  • Fig. 12 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • the data processing apparatus shown in this embodiment can be applied to terminals, which include but are not limited to electronic devices such as mobile phones, tablet computers, and wearable devices.
  • the terminals can be used as user equipment and network-side equipment (such as base stations, core networks).
  • Multi-access edge computing server communication for example, can communicate with network-side equipment based on 4G LTE (Long Term Evolution), or communicate with network-side equipment based on 5G NR (New Radio).
  • the terminal and the network-side device may have AI (Artificial Intelligence) capabilities. Based on the AI capabilities, the terminal can quickly process information such as images, videos, languages, texts, etc., in order to quickly respond to user operations, Compared with the terminal, the network-side device can process a larger amount of data, and the processing speed can be faster than that of the terminal. For example, the network-side device can use a large amount of data as a sample to perform machine learning to obtain a model for processing the data.
  • AI Artificial Intelligence
  • the data processing device may include:
  • the information receiving module 1 is configured to receive data processing capability information sent by the network side device;
  • the requirement determination module 2 is configured to determine whether the capability information meets the preset requirements of the data to be processed
  • the data sending module 3 is configured to send the to-be-processed data to the network side device for processing when the capability information meets preset requirements.
  • the capability information is included in broadcast signaling, or included in unicast signaling.
  • Fig. 13 is a schematic block diagram showing another data processing device according to an embodiment of the present disclosure. As shown in FIG. 13, the capability information is included in broadcast signaling, and the apparatus further includes:
  • the first request sending module 4 is configured to send a connection establishment request to the network side device to establish a connection with the network side device.
  • Fig. 14 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure. As shown in Figure 14, the device includes:
  • the second request sending module 5 is configured to send a request for processing the to-be-processed data to the network side device;
  • the data sending module 3 is configured to send the to-be-processed data to the network-side device in the case of receiving permission information fed back by the network-side device for the request.
  • the capability information includes at least one of the following:
  • Fig. 15 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure. As shown in Figure 15, the device further includes:
  • the data receiving module 6 is configured to receive data after the network side device processes the to-be-processed data.
  • Fig. 16 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure. As shown in Figure 16, the device further includes:
  • the first determining module 7 is configured to determine whether the to-be-processed data needs to be processed by the network-side device according to the state information of the terminal;
  • the requirement determination module 2 is configured to determine whether the capability information meets the preset requirements of the data to be processed when it is determined that the data to be processed needs to be processed by the network side device.
  • the status information includes at least one of the following:
  • Fig. 17 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure. As shown in Figure 17, the device further includes:
  • the second determining module 8 is configured to determine whether the data to be processed needs to be processed by the network side device according to the attribute information of the data to be processed;
  • the requirement determination module 2 is configured to determine whether the capability information meets the preset requirements of the data to be processed after determining that the data to be processed needs to be processed by the network side device.
  • the attribute information includes at least one of the following:
  • Fig. 18 is a schematic block diagram showing still another data processing device according to an embodiment of the present disclosure. As shown in Figure 18, the device further includes:
  • the data processing module 9 is configured to process the data to be processed when the capability information does not meet preset requirements.
  • Fig. 19 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure.
  • the data processing apparatus shown in this embodiment may be applicable to network-side equipment including but not limited to base stations, core networks, and multi-access edge computing servers.
  • the network-side equipment may communicate with a terminal.
  • Electronic devices including but not limited to mobile phones, tablet computers, wearable devices, etc., for example, can communicate with the terminal based on 4G LTE, or can communicate with the terminal based on 5G NR.
  • the terminal and the network side device may have AI capabilities. Based on the AI capabilities, the terminal can quickly process image, video, language, text and other information in order to quickly respond to user operations. Compared with the terminal, the network side device A larger amount of data can be processed, and the processing speed can be faster than that of a terminal. For example, a network side device can use a large amount of data as a sample to perform machine learning to obtain a model for processing the data.
  • the data processing device may include:
  • the information sending module 1' is configured to send data processing capability information to the terminal;
  • the data receiving module 2' is configured to receive the to-be-processed data sent by the terminal;
  • the data processing module 3' is configured to process the to-be-processed data.
  • the capability information is included in broadcast signaling, or included in unicast signaling.
  • Fig. 20 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure. As shown in FIG. 20, the capability information is included in broadcast signaling, and the apparatus further includes:
  • the first request receiving module 4' is configured to receive a connection establishment request sent by the terminal to establish a connection with the terminal.
  • Fig. 21 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure. As shown in Figure 21, the device includes:
  • the second request receiving module 5' is configured to receive a request for processing the to-be-processed data sent by the terminal;
  • the information feedback module 6' is configured to send permission information to the terminal in response to the request.
  • the capability information includes at least one of the following:
  • Fig. 22 is a schematic block diagram showing a data processing device according to an embodiment of the present disclosure. As shown in Figure 22, the device further includes:
  • the data sending module 7' is configured to send the data after processing the to-be-processed data to the terminal.
  • the relevant part can refer to the part of the description of the method embodiment.
  • the device embodiments described above are merely illustrative, and the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art can understand and implement it without creative work.
  • the embodiment of the present disclosure also proposes an electronic device, including:
  • a memory for storing processor executable instructions
  • the processor is configured to implement the data processing method suitable for the terminal described in any of the foregoing embodiments.
  • the embodiment of the present disclosure also proposes an electronic device, including:
  • a memory for storing processor executable instructions
  • the processor is configured to implement the data processing method suitable for the network side device described in any of the foregoing embodiments.
  • the embodiment of the present disclosure also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps in the data processing method applicable to the terminal described in any of the foregoing embodiments are implemented.
  • the embodiment of the present disclosure also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps in the data processing method applicable to the network side device described in any of the above embodiments are implemented .
  • FIG. 23 is a schematic structural diagram of an apparatus 2300 for data processing according to an embodiment of the present disclosure.
  • the apparatus 2300 may be provided as a network side device.
  • the device 2300 includes a processing component 2322, a wireless transmitting/receiving component 2324, an antenna component 2326, and a signal processing part specific to a wireless interface.
  • the processing component 2322 may further include one or more processors.
  • One of the processors in the processing component 2322 may be configured to implement the data processing method applicable to the network side device described in any of the foregoing embodiments.
  • FIG. 24 is a schematic structural diagram of a device 2400 for data processing according to an embodiment of the present disclosure.
  • the device 2400 may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
  • the device 2400 may include one or more of the following components: a processing component 2402, a memory 2404, a power supply component 2406, a multimedia component 2408, an audio component 2410, an input/output (I/O) interface 2412, a sensor component 2414, And the communication component 2416.
  • the processing component 2402 generally controls the overall operations of the device 2400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • the processing component 2402 may include one or more processors 2420 to execute instructions to complete all or part of the steps of the foregoing method.
  • the processing component 2402 may include one or more modules to facilitate the interaction between the processing component 2402 and other components.
  • the processing component 2402 may include a multimedia module to facilitate the interaction between the multimedia component 2408 and the processing component 2402.
  • the memory 2404 is configured to store various types of data to support operations on the device 2400. Examples of these data include instructions for any application or method operating on the device 2400, contact data, phone book data, messages, pictures, videos, etc.
  • the memory 2404 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable and Programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EPROM erasable and Programmable read only memory
  • PROM programmable read only memory
  • ROM read only memory
  • magnetic memory flash memory
  • flash memory magnetic disk or optical disk.
  • the power supply component 2406 provides power to various components of the device 2400.
  • the power supply component 2406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 2400.
  • the multimedia component 2408 includes a screen that provides an output interface between the device 2400 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure related to the touch or slide operation.
  • the multimedia component 2408 includes a front camera and/or a rear camera. When the device 2400 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 2410 is configured to output and/or input audio signals.
  • the audio component 2410 includes a microphone (MIC).
  • the microphone is configured to receive external audio signals.
  • the received audio signal may be further stored in the memory 2404 or transmitted via the communication component 2416.
  • the audio component 2410 further includes a speaker for outputting audio signals.
  • the I/O interface 2412 provides an interface between the processing component 2402 and the peripheral interface module.
  • the peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: home button, volume button, start button, and lock button.
  • the sensor component 2414 includes one or more sensors for providing the device 2400 with various aspects of status assessment.
  • the sensor component 2414 can detect the on/off status of the device 2400 and the relative positioning of the components.
  • the component is the display and the keypad of the device 2400.
  • the sensor component 2414 can also detect the position change of the device 2400 or a component of the device 2400. , The presence or absence of contact between the user and the device 2400, the orientation or acceleration/deceleration of the device 2400, and the temperature change of the device 2400.
  • the sensor assembly 2414 may include a proximity sensor configured to detect the presence of nearby objects when there is no physical contact.
  • the sensor component 2414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 2414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.
  • the communication component 2416 is configured to facilitate wired or wireless communication between the device 2400 and other devices.
  • the device 2400 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, 4G LTE, 5G NR, or a combination thereof.
  • the communication component 2416 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 2416 further includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the apparatus 2400 may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing equipment (DSPD), programmable logic devices (PLD), field programmable A gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components are used to implement the data processing method suitable for the terminal described in any of the above embodiments.
  • ASIC application specific integrated circuits
  • DSP digital signal processors
  • DSPD digital signal processing equipment
  • PLD programmable logic devices
  • FPGA field programmable A gate array
  • controller a microcontroller, a microprocessor or other electronic components are used to implement the data processing method suitable for the terminal described in any of the above embodiments.
  • a non-transitory computer-readable storage medium including instructions, for example, a memory 2404 including instructions, and the foregoing instructions may be executed by the processor 2420 of the device 2400 to complete the foregoing method.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

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Abstract

一种数据处理方法，包括：接收网络侧设备发送的处理数据的能力信息（S1）；确定所述能力信息是否满足待处理数据的预设要求（S2）；若所述能力信息满足所述预设要求，将所述待处理数据发送至所述网络侧设备进行处理（S3）。根据本方法，一方面有利于提高对待处理数据的处理速度，降低处理待处理数据的时延，以及充分利用网络侧设备的性能，另一方面有利于保证将待处理数据发送至网络侧设备处理，能够满足终端用户的需求。

Description

数据处理方法、装置、电子设备和计算机可读存储介质 技术领域
本公开涉及通信技术领域，具体而言，涉及数据处理方法，数据处理装置，电子设备和计算机可读存储介质。
背景技术
目前，在终端与基站等网络侧设备通信的场景中，网络侧设备主要的功能在于为终端配置通信所用的时频资源，一般并不起其他作用。
但是随着通信技术的发展，要求终端处理数据的数据量越来越大，而且网络侧设备的性能也有很大幅度的提升，如果仅适用网络侧设备为终端配置时频资源，那么将难以充分利用网络侧设备的性能，并且由于终端处理数据的能力有限，可能出现终端处理数据的时延较高的问题。
发明内容
有鉴于此，本公开的实施例提出了数据处理方法，数据处理装置，电子设备和计算机可读存储介质，以解决相关技术中的技术问题。
根据本公开实施例的第一方面，提出一种数据处理方法，适用于终端，所述方法包括：
接收网络侧设备发送的处理数据的能力信息；
确定所述能力信息是否满足待处理数据的预设要求；
若所述能力信息满足所述预设要求，将所述待处理数据发送至所述网络侧设备进行处理。
根据本公开实施例的第二方面，提出一种数据处理方法，适用于网络侧设备，所述方法包括：
向终端发送处理数据的能力信息；
接收所述终端发送的待处理数据；
对所述待处理数据进行处理。
根据本公开实施例的第三方面，提出一种数据处理装置，适用于终端，所述装置包括：
信息接收模块，被配置为接收网络侧设备发送的处理数据的能力信息；
要求确定模块，被配置为确定所述能力信息是否满足待处理数据的预设要求；
数据发送模块，被配置为在所述能力信息满足预设要求的情况下，将所述待处理数据发送至所述网络侧设备进行处理。
根据本公开实施例的第四方面，提出一种数据处理装置，适用于网络侧设备，所述装置包括：
信息发送模块，被配置为向终端发送处理数据的能力信息；
数据接收模块，被配置为接收所述终端发送的待处理数据；
数据处理模块，被配置为对所述待处理数据进行处理。
根据本公开实施例的第五方面，提出一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为实现上述任一实施例所述的适用于终端的数据处理方法。
根据本公开实施例的第六方面，提出一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为实现上述任一实施例所述的适用于网络侧设备的数据处理方法。
根据本公开实施例的第七方面，提出一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一实施例所述的适用于终端的数据处理方法中的步骤。
根据本公开实施例的第八方面，提出一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一实施例所述的适用于网络侧设备的数据处理方法中的步骤。
根据本公开的实施例，一方面终端可以将待处理数据交由网络侧设备处理，以便降低终端中处理器的负荷，并且网络侧设备的处理能力一般强于终端，有利于提高对待处理数据的处理速度，降低处理待处理数据的时延，以及充分利用网络侧设备的性能；另一方面由于网络侧设备将能力信息发送至终端，使得终端可以准确地确认将待处理数据交由网络侧设备处理，是否可以满足待处理数据的预设要求，并在满足预设要求的情况下，才将待处理数据发送至网络侧设备进行处理，有利于保证将待处理数据发送至网络侧设备处理，能够满足终端用户的需求。
附图说明
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是根据本公开的实施例示出的一种数据处理方法的示意流程图。
图2是根据本公开的实施例示出的另一种数据处理方法的示意流程图。
图3是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图4是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图5是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图6是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图7是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图8是根据本公开的实施例示出的一种数据处理方法的示意流程图。
图9是根据本公开的实施例示出的另一种数据处理方法的示意流程图。
图10是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图11是根据本公开的实施例示出的又一种数据处理方法的示意流程图。
图12是根据本公开的实施例示出的一种数据处理装置的示意框图。
图13是根据本公开的实施例示出的另一种数据处理装置的示意框图。
图14是根据本公开的实施例示出的又一种数据处理装置的示意框图。
图15是根据本公开的实施例示出的又一种数据处理装置的示意框图。
图16是根据本公开的实施例示出的又一种数据处理装置的示意框图。
图17是根据本公开的实施例示出的又一种数据处理装置的示意框图。
图18是根据本公开的实施例示出的又一种数据处理装置的示意框图。
图19是根据本公开的实施例示出的一种数据处理装置的示意框图。
图20是根据本公开的实施例示出的一种数据处理装置的示意框图。
图21是根据本公开的实施例示出的一种数据处理装置的示意框图。
图22是根据本公开的实施例示出的一种数据处理装置的示意框图。
图23是根据本公开的实施例示出的一种用于数据处理的装置的结构示意图。
图24是根据本公开的实施例示出的一种用于数据处理的装置的结构示意图。
具体实施方式
下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
图1是根据本公开的实施例示出的一种数据处理方法的示意流程图。本实施例所示的数据处理方法可以适用于终端，所述终端包括但不限于手机、平板电脑、可穿戴设备等电子设备，所述终端可以作为用户设备与网络侧设备(例如基站、核心网、多接入边缘计算服务器)通信，例如可以基于4G LTE(Long Term Evolution，长期演进)与网络侧设备通信，也可以基于5G NR(New Radio，新空口)与网络侧设备通信。
所述终端和所述网络侧设备可以具备AI(Artificial Intelligence，人工智能)方面的能力，基于AI方面的能力，终端可以快速处理图像、视频、语文、文本等信息，以便快速响应用户的操作，网络侧设备相对于终端，可以处理更大数据量的数据，并且处理速度相对终端可以更快，例如网络侧设备可以以大量数据作为样本进行机器学习，以得到用于处理数据的机器学习模型。
如图1所示，所述数据处理方法可以包括以下步骤：
在步骤S1中，接收网络侧设备发送的处理数据的能力信息；
在步骤S2中，确定所述能力信息是否满足待处理数据的预设要求；
在步骤S3中，若所述能力信息满足所述预设要求，将所述待处理数据发送至所述网络侧设备进行处理。
在一个实施例中，网络侧设备可以向终端发送处理数据的能力信息，例如处理数据的速度(单位时间内能够处理数据的数据量)，处理数据的时延，能够处理数据的数据量等。
终端根据接收到的能力信息，可以确定能力信息是否满足待处理数据的预设要求。例如能力信息为速度，那么预设要求可以是处理待处理数据所需的预设速度，终端确定能力信息是否满足预设要求，具体可以是确定处理数据的速度是否大于预设速度；例如能力信息为时延，那么预设要求可以是处理待处理数据所允许的预设时延，终端确定能力信息是否满足预设要求，具体可以是确定处理数据的时延是否小于预设时延；例如能力信息为数据量，那么预设要求可以是预设数据量，预设数据量可以根据需要设置，也可以与待处理数据的数据量相关，例如与待处理数据的数量正相关，终端确定能力信息是否满足预设要求，具体可以是确定网络侧设备能够处理数据的数据量是否大于预设数据量。
需要说明的是，预设要求可以是固定的，也可以是变化的。
例如预设要求为预设速度，预设速度可以是固定的，那么在步骤S2中，终端可以始终确定网络侧设备处理数据的速度，是否大于该预设速度。
例如预设要求为预设数据量，预设数据量可以是变化的，具体地，对于不同的待处理数据，预设数据量可以有所不同，例如预设数据量可以等于待处理数据的数据量，那么在步骤S2中，终端可以先确定待处理数据的数据量，然后将代理处数据的数据量作为预设数据量与网络侧设备能够处理数据的数据量进行比较，以确定网络侧设备能够处理数据的数据量是否大于预设数据量。
根据本公开的实施例，一方面终端可以将待处理数据交由网络侧设备处理，以便降低终端中处理器的负荷，并且网络侧设备的处理能力一般强于终端，有利于提高对待处理数据的处理速度，降低处理待处理数据的时延，以及充分利用网络侧设备的性能，另一方面由于网络侧设备将能力信息发送至终端，使得终端可以准确地确认将待处理数据交由网络侧设备处理，是否可以满足待处理数据的预设要求，并在满足预 设要求的情况下，才将待处理数据发送至网络侧设备进行处理，有利于保证将待处理数据发送至网络侧设备处理，能够满足终端用户的需求。
可选地，所述能力信息包含在广播信令中，或包含在单播信令中。
在一个实施例中，网络侧设备可以通过广播信令广播所述能力信息，那么监听到该广播信令的终端，都可以了解到网络侧设备的能力信息；网络侧设备也可以通过单播信令向某个或某几个终端针对性地发送能力信息，那么只有接收到该单播信令的终端才能够了解到网络侧设备的能力信息。
图2是根据本公开的实施例示出的另一种数据处理方法的示意流程图。如图2所示，所述能力信息包含在广播信令中，在向所述网络侧设备发送所述待处理数据之前，所述方法还包括：
在步骤S4中，向所述网络侧设备发送连接建立请求，以与所述网络侧设备建立连接。
在一个实施例中，在能力信息包含在广播信令中的情况下，终端可以在与网络侧设备建立连接之前，监听到该广播信令，但是为了向网络侧设备发送待处理数据，需要先与网络侧设备建立连接。
因此，可以向网络侧设备发送连接建立请求，以与网络侧设备建立连接，例如建立RRC(Radio Resource Control，无线资源控制)连接，进而终端可以通过建立的连接将待处理数据发送至网络侧设备。
而在能力信息包含在单播信令中时，终端接收网络侧设备的单播信令，就是通过与网络侧设备之间的连接来接收的，所以终端能够接收到单播信令时，已与网络侧设备建立了连接，从而可以直接通过该连接将待处理数据发送至网络侧设备。
图3是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图3所示，在向所述网络侧设备发送所述待处理数据之前，所述方法包括：
在步骤S5中，向所述网络侧设备发送处理所述待处理数据的请求；
其中，若接收到所述网络侧设备针对所述请求反馈的允许信息，向所述网络侧设备发送所述待处理数据。
在一个实施例中，在某些情况下，虽然网络侧设备处理数据的能力信息能够满足预设要求，但是网络侧设备可能并不允许终端向网络侧设备发送待处理数据，例如 网络侧设备由于短时间内多次接到该终端发送的待处理数据，而将该终端列入了黑名单，一段时间内不处理来自该终端的数据，那么终端如果将直接将待处理数据发送至网络侧设备，网络侧设备也不会处理待处理数据，从而导致终端发送待处理数据的操作占用的资源浪费了。
在本实施例中，终端可以先向网络侧设备发送处理待处理数据的请求，网络侧设备接收到处理待处理数据的请求后，若允许终端向网络侧设备发送待处理数据，则可以针对所述请求向终端反馈允许信息，终端在接收到该允许信息的情况下，才向网络侧设备发送待处理数据。据此，有利于保证终端将待处理数据发送至网络侧设备后，网络侧设备就可以处理待处理数据，确保终端向网络侧设备发送待处理数据的操作是有效的，避免资源的浪费。
可选地，所述能力信息包括以下至少之一：
速度、时延、数据量。
在一个实施例中，例如能力信息为速度，那么预设要求可以是预设速度，终端确定能力信息是否满足预设要求，具体可以是确定处理数据的速度是否大于预设速度。
在一个实施例中，例如能力信息为时延，那么预设要求可以是预设时延，终端确定能力信息是否满足预设要求，具体可以是确定处理数据的时延是否小于预设时延。
在一个实施例中，例如能力信息为数据量(具体是网络侧设备能够处理数据的数据量)，那么预设要求可以是预设数据量，终端确定能力信息是否满足预设要求，具体可以是确定网络侧设备能够处理数据的数据量是否大于预设数据量。
能力信息可以包括速度、时延、数据量三项中的至少一项，若只包含一项，那么只需确定这一项能力信息是否满足预设要求即可，而若包含多项，那么需要分别确定每项能力信息是否满足预设要求。
图4是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图4所示，所述方法还包括：
在步骤S6中，接收所述网络侧设备对所述待处理数据进行处理后的数据。
在一个实施例中，网络侧设备可以对待处理数据进行处理，并将处理后的数据发送回终端，终端可以接收处理后的数据。
图5是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图5 所示，在确定所述能力信息是否满足待处理数据的预设要求之前，所述方法还包括：
在步骤S7中，根据所述终端的状态信息确定所述待处理数据是否需要由网络侧设备处理；
其中，若确定所述待处理数据需要由网络侧设备处理，则执行步骤S2，确定所述能力信息是否满足待处理数据的预设要求。
在一个实施例中，在确定能力信息是否满足待处理数据的预设要求之前，终端可以先获取自身的状态信息，可选地，所述状态信息包括以下至少之一：电量、处理器负荷，进而根据状态信息确定待处理数据是否需要由网络侧设备处理。
例如在状态信息为电量的情况下，终端可以确定电量是否低于预设电量，若低于预设电量，如果仍由终端处理待处理数据，那么将会较快耗尽终端的电量。因此，在这种情况下，可以确定待处理数据需要由网络侧设备处理，以便将待处理数据发送至网络侧设备，有利于保证终端基于剩余电量能够续航较长时间。
例如在状态信息为处理器负荷的情况下，终端可以确定处理器负荷是否高于预设负荷，若高于预设负荷，如果仍由终端处理待处理数据，那么终端对于待处理数据的处理速度可能较慢，并且难以处理其他内容。因此，在这种情况下，可以确定待处理数据需要由网络侧设备处理，以便将待处理数据发送至网络侧设备，有利于保证终端的处理器能够较为高效地处理其他内容，并且待处理数据能够由网络侧设备高效地处理。
图6是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图6所示，在确定所述能力信息是否满足待处理数据的预设要求之前，所述方法还包括：
在步骤S8中，根据所述待处理数据的属性信息确定所述待处理数据是否需要由网络侧设备处理；
其中，若确定所述待处理数据需要由网络侧设备处理，则执行步骤S2，确定所述能力信息是否满足待处理数据的预设要求。
在一个实施例中，在确定能力信息是否满足待处理数据的预设要求之前，终端可以先获取待处理数据的属性信息，可选地，所述属性信息包括以下至少之一：数据量、数据类型，进而根据待处理数据的属性信息确定待处理数据是否需要由网络侧设备处理。
例如在属性信息为数据量的情况下，终端可以确定数据量是否大于预设数据，若低于预设数据量(可以与图1所示实施例中的预设数据量相同，也可以不同)，如果仍由终端处理待处理数据，由于终端的处理能力一般低于网络侧设备的处理能力，那么对较大的数据量进行处理，将会造成过大的时延。
因此，在这种情况下，可以确定待处理数据需要由网络侧设备处理，以便将待处理数据发送至网络侧设备，保证待处理数据在较短时间内可以被处理完毕，减少处理待处理数据的时延，有利于确保用户的使用体验。
例如在属性信息为数据类型的情况下，终端可以确定数据类型是否为预设类型，其中，预设类型可以根据需要设定，例如预设类型为需要机器学习模型进行处理，由于机器学习模型需要以大量数据作为训练样本，并进行机器学习得到，某些情况下还需要基于大量数据不断地对模型进行更新，所需处理的数据较多，处理过程较为复杂，如果仍由终端处理待处理数据，那么终端对于待处理数据的处理速度可能较慢。
因此，在这种情况下，可以确定待处理数据需要由网络侧设备处理，以便将待处理数据发送至网络侧设备，由于网络侧设备的处理能力较强，便于基于大量数据作为样本进行机器学习得到机器学习模型，因此有利于保证待处理数据在较短时间内可以被处理完毕，减少处理待处理数据的时延，以便确保用户的使用体验。
图7是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图7所示，所述方法还包括：
在步骤S9中，若所述能力信息不满足预设要求，所述终端处理所述待处理数据。
在一个实施例中，在某些情况下，网络侧设备处理数据的能力信息不满足预设要求，那么终端可以亲自处理该待处理数据，以便确保待处理数据可以在较短的时间内被处理完毕，减少处理待处理数据的时延，以便确保用户的使用体验。
需要说明的是，图5和图6所示的实施例，可以图7所示的实施例相结合，例如在根据待处理数据的属性信息确定待处理数据需要由网络侧设备处理的情况下，或根据终端的状态信息确定待处理数据需要由网络侧设备处理的情况下，而网络侧设备处理数据的能力信息由不满足预设要求，那么终端可以估算待处理数据由终端亲自处理的第一时延，以及将待处理数据发送至网络侧设备处理的第二时延(第二时延可以包括终端将待处理数据发送至网络侧设备的时延，网络侧设备处理待处理数据的时延， 以及网络侧设备将处理后的数据发送至终端的时延)，进而比较第一时延和第二时延，若第一时延大于第二时延，可以将待处理数据发送至网络侧设备处理，若第一时延小于或等于第二时延，可以由终端亲自处理待处理数据。
图8是根据本公开的实施例示出的一种数据处理方法的示意流程图。本实施例所示的数据处理方法可以适用于网络侧设备，所述网络侧设备包括但不限于基站、核心网、多接入边缘计算服务器，所述网络侧设备可以与终端通信，所述终端包括但不限于手机、平板电脑、可穿戴设备等电子设备，例如可以基于4G LTE与终端通信，也可以基于5G NR与终端通信。
所述终端和所述网络侧设备可以具备AI方面的能力，基于AI方面的能力，终端可以快速处理图像、视频、语文、文本等信息，以便快速响应用户的操作，网络侧设备相对于终端，可以处理更大数据量的数据，并且处理速度相对终端可以更快，例如网络侧设备可以以大量数据作为样本进行机器学习，以得到用于处理数据的模型。
如图8所示，所述数据处理方法可以包括以下步骤：
在步骤S1’中，向终端发送处理数据的能力信息；
在步骤S2’中，接收所述终端发送的待处理数据；
在步骤S3’中，对所述待处理数据进行处理。
在一个实施例中，网络侧设备可以向终端发送处理数据的能力信息，例如处理数据的速度(单位时间内能够处理数据的数据量)，处理数据的时延，能够处理数据的数据量等。以便终端根据接收到的能力信息，可以确定能力信息是否满足待处理数据的预设要求。
根据本公开的实施例中，据此，一方面网络侧设备可以对终端发送的待处理数据进行处理，有利于降低终端中处理器的负荷，并且网络侧设备的处理能力一般强于终端，有利于提高对待处理数据的处理速度，另一方面由于网络侧设备将能力信息发送至终端，使得终端可以准确地确认将待处理数据交由网络侧设备处理，是否可以满足待处理数据的预设要求，并在满足预设要求的情况下，才将待处理数据发送至网络侧设备进行处理，有利于保证将待处理数据发送至网络侧设备处理，能够满足终端用户的需求。
可选地，所述能力信息包含在广播信令中，或包含在单播信令中。
在一个实施例中，网络侧设备可以通过广播信令广播所述能力信息，那么监听到该广播信令的终端，都可以了解到网络侧设备的能力信息；网络侧设备也可以通过单播信令向某个或某几个终端针对性地发送能力信息，那么只有接收到该单播信令的终端才能够了解到网络侧设备的能力信息。
图9是根据本公开的实施例示出的另一种数据处理方法的示意流程图。如图9所示，所述能力信息包含在广播信令中，在接收所述终端发送的待处理数据之前，所述方法还包括：
在步骤S4’中，接收所述终端发送的连接建立请求，以与所述终端建立连接。
在一个实施例中，在能力信息包含在广播信令中的情况下，网络侧设备可以在与终端建立连接之前，广播该广播信令，但是为了接收终端发送的待处理数据，需要先与终端建立连接。
因此，可以接收终端发送连接建立请求，以与终端建立连接，例如建立RRC连接，进而网络侧设备可以通过建立的连接接收待处理数据。
而在能力信息包含在单播信令中时，网络侧设备向终端发送单播信令，就是通过与终端之间的连接来发送的，所以终端能够接收到单播信令时，已与网络侧设备建立了连接，从而可以直接通过该连接接收终端发送的待处理数据。
图10是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图10所示，在接收所述终端发送的待处理数据之前，所述方法包括：
在步骤S5’中，接收所述终端发送的处理所述待处理数据的请求；
在步骤S6’中，针对所述请求向所述终端发送允许信息。
在一个实施例中，在某些情况下，虽然网络侧设备处理数据的能力信息能够满足预设要求，但是网络侧设备可能并不允许终端向网络侧设备发送待处理数据，例如网络侧设备由于短时间内多次接到该终端发送的待处理数据，而将该终端列入了黑名单，一段时间内不处理来自该终端的数据，那么终端如果将直接将待处理数据发送至网络侧设备，网络侧设备也不会处理待处理数据，从而导致终端发送待处理数据的操作占用的资源浪费了。
在本实施例中，网络侧设备可以先接收终端发送的处理待处理数据的请求，网络侧设备接收到处理待处理数据的请求后，若允许终端向网络侧设备发送待处理数据， 则可以针对所述请求向终端反馈允许信息，终端在接收到该允许信息的情况下，才向网络侧设备发送待处理数据。据此，有利于保证终端将待处理数据发送至网络侧设备后，网络侧设备就可以处理待处理数据，确保终端向网络侧设备发送待处理数据的操作是有效的，避免资源的浪费
可选地，所述能力信息包括以下至少之一：
速度、时延、数据量。
在一个实施例中，网络侧设备可以根据自身对于数据的处理能力和/或网络资源的配置情况确定能力信息。例如能力信息为处理速度，那么网络侧设备可以根据自身对于数据的处理能力来确定单位时间内能够处理数据的数据量作为速度，例如能力信息为时延，那么网络侧设备可以根据网络资源配置情况(例如为终端配置上传待处理数据的资源距离当前时间的时长)来确定时延。
图11是根据本公开的实施例示出的又一种数据处理方法的示意流程图。如图11所示，所述方法还包括：
在步骤S7’中，向所述终端发送对所述待处理数据进行处理后的数据。
在一个实施例中，网络侧设备可以对待处理数据进行处理，并将处理后的数据发送回终端，终端可以接收处理后的数据。其中，网络侧设备可以根据需要选择时域资源和频域资源将待处理后的数据发送至终端。
与前述的数据处理方法的实施例相对应地，本公开还提供了数据处理装置的实施例。
图12是根据本公开的实施例示出的一种数据处理装置的示意框图。本实施例所示的数据处理装置可以适用于终端，所述终端包括但不限于手机、平板电脑、可穿戴设备等电子设备，所述终端可以作为用户设备与网络侧设备(例如基站、核心网、多接入边缘计算服务器)通信，例如可以基于4G LTE(Long Term Evolution，长期演进)与网络侧设备通信，也可以基于5G NR(New Radio，新空口)与网络侧设备通信。
所述终端和所述网络侧设备可以具备AI(Artificial Intelligence，人工智能)方面的能力，基于AI方面的能力，终端可以快速处理图像、视频、语文、文本等信息，以便快速响应用户的操作，网络侧设备相对于终端，可以处理更大数据量的数据，并且处理速度相对终端可以更快，例如网络侧设备可以以大量数据作为样本进行机器学 习，以得到用于处理数据的模型。
如图12所示，所述数据处理装置可以包括：
信息接收模块1，被配置为接收网络侧设备发送的处理数据的能力信息；
要求确定模块2，被配置为确定所述能力信息是否满足待处理数据的预设要求；
数据发送模块3，被配置为在所述能力信息满足预设要求的情况下，将所述待处理数据发送至所述网络侧设备进行处理。
可选地，所述能力信息包含在广播信令中，或包含在单播信令中。
图13是根据本公开的实施例示出的另一种数据处理装置的示意框图。如图13所示，所述能力信息包含在广播信令中，所述装置还包括：
第一请求发送模块4，被配置为向所述网络侧设备发送连接建立请求，以与所述网络侧设备建立连接。
图14是根据本公开的实施例示出的又一种数据处理装置的示意框图。如图14所示，所述装置包括：
第二请求发送模块5，被配置为向所述网络侧设备发送处理所述待处理数据的请求；
其中，所述数据发送模块3，被配置为在接收到所述网络侧设备针对所述请求反馈的允许信息的情况下，向所述网络侧设备发送所述待处理数据。
可选地，所述能力信息包括以下至少之一：
速度、时延、数据量。
图15是根据本公开的实施例示出的又一种数据处理装置的示意框图。如图15所示，所述装置还包括：
数据接收模块6，被配置为接收所述网络侧设备对所述待处理数据进行处理后的数据。
图16是根据本公开的实施例示出的又一种数据处理装置的示意框图。如图16所示，所述装置还包括：
第一确定模块7，被配置为根据所述终端的状态信息确定所述待处理数据是否需要由网络侧设备处理；
其中，所述要求确定模块2，被配置为在确定所述待处理数据需要由网络侧设备处理的情况下，确定所述能力信息是否满足待处理数据的预设要求。
可选地，所述状态信息包括以下至少之一：
电量、处理器负荷。
图17是根据本公开的实施例示出的又一种数据处理装置的示意框图。如图17所示，所述装置还包括：
第二确定模块8，被配置为根据所述待处理数据的属性信息确定所述待处理数据是否需要由网络侧设备处理；
其中，所述要求确定模块2，被配置为在确定所述待处理数据需要由网络侧设备处理，确定所述能力信息是否满足待处理数据的预设要求。
可选地，所述属性信息包括以下至少之一：
数据量、数据类型。
图18是根据本公开的实施例示出的又一种数据处理装置的示意框图。如图18所示，所述装置还包括：
数据处理模块9，被配置为在所述能力信息不满足预设要求的情况下，处理所述待处理数据。
图19是根据本公开的实施例示出的一种数据处理装置的示意框图。本实施例所示的数据处理装置可以适用于网络侧设备，所述网络侧设备包括但不限于基站、核心网、多接入边缘计算服务器，所述网络侧设备可以与终端通信，所述终端包括但不限于手机、平板电脑、可穿戴设备等电子设备，例如可以基于4G LTE与终端通信，也可以基于5G NR与终端通信。
所述终端和所述网络侧设备可以具备AI方面的能力，基于AI方面的能力，终端可以快速处理图像、视频、语文、文本等信息，以便快速响应用户的操作，网络侧设备相对于终端，可以处理更大数据量的数据，并且处理速度相对终端可以更快，例如网络侧设备可以以大量数据作为样本进行机器学习，以得到用于处理数据的模型。
如图19所示，所述数据处理装置可以包括：
信息发送模块1’，被配置为向终端发送处理数据的能力信息；
数据接收模块2’，被配置为接收所述终端发送的待处理数据；
数据处理模块3’，被配置为对所述待处理数据进行处理。
可选地，所述能力信息包含在广播信令中，或包含在单播信令中。
图20是根据本公开的实施例示出的一种数据处理装置的示意框图。如图20所示，所述能力信息包含在广播信令中，所述装置还包括：
第一请求接收模块4’，被配置为接收所述终端发送的连接建立请求，以与所述终端建立连接。
图21是根据本公开的实施例示出的一种数据处理装置的示意框图。如图21所示，所述装置包括：
第二请求接收模块5’，被配置为接收所述终端发送的处理所述待处理数据的请求；
信息反馈模块6’，被配置为针对所述请求向所述终端发送允许信息。
可选地，所述能力信息包括以下至少之一：
速度、时延、数据量。
图22是根据本公开的实施例示出的一种数据处理装置的示意框图。如图22所示，所述装置还包括：
数据发送模块7’，被配置为向所述终端发送对所述待处理数据进行处理后的数据。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在相关方法的实施例中进行了详细描述，此处将不做详细阐述说明。
对于装置实施例而言，由于其基本对应于方法实施例，所以相关之处参见方法实施例的部分说明即可。以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的模块可以是或者也可以不是物理上分开的，作为模块显示的部件可以是或者也可以不是物理模块，即可以位于一个地方，或者也可以分布到多个网络模块上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
本公开的实施例还提出一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为实现上述任一实施例所述的适用于终端的数据处理方法。
本公开的实施例还提出一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为实现上述任一实施例所述的适用于网络侧设备的数据处理方法。
本公开的实施例还提出一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一实施例所述的适用于终端的数据处理方法中的步骤。
本公开的实施例还提出一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一实施例所述的适用于网络侧设备的数据处理方法中的步骤。
如图23所示，图23是根据本公开的实施例示出的一种用于数据处理的装置2300的结构示意图。装置2300可以被提供为一网络侧设备。参照图23，装置2300包括处理组件2322、无线发射/接收组件2324、天线组件2326、以及无线接口特有的信号处理部分，处理组件2322可进一步包括一个或多个处理器。处理组件2322中的其中一个处理器可以被配置为实现上述任一实施例所述的适用于网络侧设备的数据处理方法。
图24是根据本公开的实施例示出的一种用于数据处理的装置2400的结构示意图。例如，装置2400可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图24，装置2400可以包括以下一个或多个组件：处理组件2402，存储器2404，电源组件2406，多媒体组件2408，音频组件2410，输入/输出(I/O)的接口2412，传感器组件2414，以及通信组件2416。
处理组件2402通常控制装置2400的整体操作，诸如与显示，电话呼叫，数据 通信，相机操作和记录操作相关联的操作。处理组件2402可以包括一个或多个处理器2420来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件2402可以包括一个或多个模块，便于处理组件2402和其他组件之间的交互。例如，处理组件2402可以包括多媒体模块，以方便多媒体组件2408和处理组件2402之间的交互。
存储器2404被配置为存储各种类型的数据以支持在装置2400的操作。这些数据的示例包括用于在装置2400上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器2404可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件2406为装置2400的各种组件提供电力。电源组件2406可以包括电源管理***，一个或多个电源，及其他与为装置2400生成、管理和分配电力相关联的组件。
多媒体组件2408包括在所述装置2400和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件2408包括一个前置摄像头和/或后置摄像头。当装置2400处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜***或具有焦距和光学变焦能力。
音频组件2410被配置为输出和/或输入音频信号。例如，音频组件2410包括一个麦克风(MIC)，当装置2400处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器2404或经由通信组件2416发送。在一些实施例中，音频组件2410还包括一个扬声器，用于输出音频信号。
I/O接口2412为处理组件2402和***接口模块之间提供接口，上述***接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件2414包括一个或多个传感器，用于为装置2400提供各个方面的状态评估。例如，传感器组件2414可以检测到装置2400的打开/关闭状态，组件的相对定位，例如所述组件为装置2400的显示器和小键盘，传感器组件2414还可以检测装置2400或装置2400一个组件的位置改变，用户与装置2400接触的存在或不存在，装置2400方位或加速/减速和装置2400的温度变化。传感器组件2414可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件2414还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件2414还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件2416被配置为便于装置2400和其他设备之间有线或无线方式的通信。装置2400可以接入基于通信标准的无线网络，如WiFi，2G或3G，4G LTE、5G NR或它们的组合。在一个示例性实施例中，通信组件2416经由广播信道接收来自外部广播管理***的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件2416还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置2400可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述任一实施例所述的适用于终端的数据处理方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器2404，上述指令可由装置2400的处理器2420执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的公开后，将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构， 并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上对本公开实施例所提供的方法和装置进行了详细介绍，本文中应用了具体个例对本公开的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本公开的方法及其核心思想；同时，对于本领域的一般技术人员，依据本公开的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本公开的限制。

Claims (22)

  1. 一种数据处理方法，其特征在于，适用于终端，所述方法包括：
    接收网络侧设备发送的处理数据的能力信息；
    确定所述能力信息是否满足待处理数据的预设要求；
    若所述能力信息满足所述预设要求，将所述待处理数据发送至所述网络侧设备进行处理。
  2. 根据权利要求1所述的方法，其特征在于，所述能力信息包含在广播信令中，或包含在单播信令中。
  3. 根据权利要求2所述的方法，其特征在于，所述能力信息包含在广播信令中，在向所述网络侧设备发送所述待处理数据之前，所述方法还包括：
    向所述网络侧设备发送连接建立请求，以与所述网络侧设备建立连接。
  4. 根据权利要求1所述的方法，其特征在于，在向所述网络侧设备发送所述待处理数据之前，所述方法包括：
    向所述网络侧设备发送处理所述待处理数据的请求；
    其中，若接收到所述网络侧设备针对所述请求反馈的允许信息，则向所述网络侧设备发送所述待处理数据。
  5. 根据权利要求1所述的方法，其特征在于，所述能力信息包括以下至少之一：
    速度、时延、数据量。
  6. 根据权利要求1至5中任一项所述的方法，其特征在于，在确定所述能力信息是否满足待处理数据的预设要求之前，所述方法还包括：
    根据所述终端的状态信息确定所述待处理数据是否需要由网络侧设备处理；
    其中，若确定所述待处理数据需要由网络侧设备处理，则确定所述能力信息是否满足待处理数据的预设要求。
  7. 根据权利要求6所述的方法，其特征在于，所述状态信息包括以下至少之一：
    电量、处理器负荷。
  8. 根据权利要求1至5中任一项所述的方法，其特征在于，在确定所述能力信息是否满足待处理数据的预设要求之前，所述方法还包括：
    根据所述待处理数据的属性信息确定所述待处理数据是否需要由网络侧设备处理；
    其中，若确定所述待处理数据需要由网络侧设备处理，则确定所述能力信息是否满足待处理数据的预设要求。
  9. 根据权利要求8所述的方法，其特征在于，所述属性信息包括以下至少之一：
    数据量、数据类型。
  10. 根据权利要求1至5中任一项所述的方法，其特征在于，所述方法还包括：
    若所述能力信息不满足预设要求，所述终端处理所述待处理数据。
  11. 一种数据处理方法，其特征在于，适用于网络侧设备，所述方法包括：
    向终端发送处理数据的能力信息；
    接收所述终端发送的待处理数据；
    对所述待处理数据进行处理。
  12. 根据权利要求11所述的方法，其特征在于，所述能力信息包含在广播信令中，或包含在单播信令中。
  13. 根据权利要求1所述的方法，其特征在于，所述能力信息包含在广播信令中，在接收所述终端发送的待处理数据之前，所述方法还包括：
    接收所述终端发送的连接建立请求，以与所述终端建立连接。
  14. 根据权利要求11所述的方法，其特征在于，在接收所述终端发送的待处理数据之前，所述方法包括：
    接收所述终端发送的处理所述待处理数据的请求；
    针对所述请求向所述终端发送允许信息。
  15. 根据权利要求11所述的方法，其特征在于，所述能力信息包括以下至少之一：
    速度、时延、数据量。
  16. 根据权利要求11至15中任一项所述的方法，其特征在于，所述方法还包括：
    向所述终端发送对所述待处理数据进行处理后的数据。
  17. 一种数据处理装置，其特征在于，适用于终端，所述装置包括：
    信息接收模块，被配置为接收网络侧设备发送的处理数据的能力信息；
    要求确定模块，被配置为确定所述能力信息是否满足待处理数据的预设要求；
    数据发送模块，被配置为在所述能力信息满足预设要求的情况下，将所述待处理数据发送至所述网络侧设备进行处理。
  18. 一种数据处理装置，其特征在于，适用于网络侧设备，所述装置包括：
    信息发送模块，被配置为向终端发送处理数据的能力信息；
    数据接收模块，被配置为接收所述终端发送的待处理数据；
    数据处理模块，被配置为对所述待处理数据进行处理。
  19. 一种电子设备，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为实现权利要求1至10中任一项所述的数据处理方法。
  20. 一种电子设备，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为实现权利要求11至16中任一项所述的数据处理方法。
  21. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现权利要求1至10中任一项所述的数据处理方法中的步骤。
  22. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现权利要求11至16中任一项所述的数据处理方法中的步骤。
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