CN117082477A

CN117082477A - Task processing method, device, system, storage medium and electronic equipment

Info

Publication number: CN117082477A
Application number: CN202210483770.0A
Authority: CN
Inventors: 李嘉慧; 刘柳; 陈卓怡; 龙彪
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-05-05
Filing date: 2022-05-05
Publication date: 2023-11-17

Abstract

The disclosure provides a task processing method, a task processing device, a task processing system, a storage medium and electronic equipment, and relates to the technical field of wireless communication. The task processing method comprises the following steps: acquiring the transmission effective time of a task to be processed; acquiring a data analysis result from a network data analysis functional entity, and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result; determining a target time period according to the idle period of the network and/or the idle period of the terminal; and sending a task processing instruction to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is sent in the target time period through a Protocol Data Unit (PDU) session. The present disclosure may improve resource utilization and efficiency of task processing.

Description

Task processing method, device, system, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of wireless communication technologies, and in particular, to a task processing method and device, a task processing system, a storage medium, and an electronic device.

Background

In recent years, with the rapid development of the big data age and the wireless communication field, more and more applications are in the terminal, and the demand for network resources is also increasing. Applications that have large data transmission volume and need to adjust transmission tasks in real time according to network states have higher demands on network resources, for example, with the wide application of artificial intelligence (Artificial Intelligence, AI) technology in terminals, the terminals can execute more AI tasks, such as AI voice assistants, AI beauty, etc., through the AI applications.

Currently, a terminal may send a task to a network side at any time, and the network side may allocate required network resources to the terminal according to the task. However, for tasks with large data transmission amount, the method occupies a large amount of resources for a long time, affects the transmission and processing of other tasks, and causes the problems of low resource utilization rate and low task processing efficiency.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the present disclosure is to provide a task processing method and a task processing device, a task processing system, a storage medium, and an electronic apparatus, which further overcome, at least to some extent, the problems of low resource utilization and low task processing efficiency due to limitations and drawbacks of the related art.

According to a first aspect of the present disclosure, there is provided a task processing method, including: acquiring the transmission effective time of a task to be processed; acquiring a data analysis result from a network data analysis functional entity, and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result; determining a target time period according to the idle period of the network and/or the idle period of the terminal; and sending a task processing instruction to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is sent in the target time period through a Protocol Data Unit (PDU) session.

Optionally, determining the target time period according to the idle period of the network and the idle period of the terminal includes: acquiring the transmission time length of a task to be processed; determining a coincidence period of an idle period of the network and an idle period of the terminal; and determining a target time period according to the transmission time length and the coincidence time period of the task to be processed.

Optionally, determining the target time period according to the transmission duration and the coincidence period of the task to be processed includes: if the coincidence period is greater than or equal to the transmission time length of the task to be processed, determining the coincidence period as a target period; and if the coincidence time period is smaller than the transmission time period of the task to be processed, determining the coincidence time period with the sum being greater than or equal to the transmission time period as a target time period.

Optionally, determining the target time period according to the transmission duration and the coincidence period of the task to be processed includes: and determining the coincidence time period which is greater than or equal to the transmission time length of the task to be processed as a target time period.

Optionally, determining the target time period according to the idle period of the network or the idle period of the terminal includes: and determining a target time period according to the idle time period of the network and the transmission time length of the task to be processed, or determining the target time period according to the idle time period of the terminal and the transmission time length of the task to be processed.

Optionally, the task processing method further includes: the method comprises the steps of obtaining parameter information of a task to be processed, which is transmitted by an application functional entity through a unified data management functional entity, wherein the parameter information comprises transmission effective time and transmission duration of the task to be processed; and sending a subscription message to the unified data management functional entity to acquire the transmission effective time and the transmission duration of the task to be processed.

According to a second aspect of the present disclosure, there is provided a task processing device including: the information acquisition module is used for acquiring the transmission effective time of the task to be processed; the first determining module is used for acquiring a data analysis result from the network data analysis functional entity and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result; the second determining module is used for determining a target time period according to the idle period of the network and/or the idle period of the terminal; the instruction sending module is used for sending a task processing instruction to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is sent by the terminal in the target time period through a Protocol Data Unit (PDU) session established by responding to the task processing instruction and through the PDU session

Optionally, the second determining module is further configured to obtain a transmission duration of the task to be processed; determining a coincidence period of an idle period of the network and an idle period of the terminal; and determining a target time period according to the transmission time length and the coincidence time period of the task to be processed.

Optionally, the second determining module is further configured to determine the overlapping period as the target period if the overlapping period is greater than or equal to a transmission duration of the task to be processed; and if the coincidence time period is smaller than the transmission time period of the task to be processed, determining the coincidence time period with the sum being greater than or equal to the transmission time period as a target time period.

Optionally, the second determining module is further configured to determine, as the target time period, a coincidence period that is greater than or equal to a transmission duration of the task to be processed.

Optionally, the second determining module is further configured to determine the target time period according to an idle period of the network and a transmission duration of the task to be processed, or determine the target time period according to the idle period of the terminal and the transmission duration of the task to be processed.

Optionally, the information acquisition module is configured to acquire, in advance, parameter information of a task to be processed, which is sent by the application function entity and is transmitted via the unified data management function entity, where the parameter information includes a transmission effective time and a transmission duration of the task to be processed; the instruction sending module is also used for sending a subscription message to the unified data management functional entity so as to acquire the transmission effective time and the transmission duration of the task to be processed.

According to a third aspect of the present disclosure, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements any one of the task processing methods described above.

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform any one of the task processing methods described above via execution of the executable instructions.

In some embodiments of the present disclosure, a transmission effective time of a task to be processed is obtained; acquiring a data analysis result from a network data analysis functional entity, and determining an idle period of the network and an idle period of the terminal in the effective transmission time according to the data analysis result; determining a target time period according to the idle period of the network and the idle period of the terminal; and sending a task processing instruction to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is sent in the target time period through a Protocol Data Unit (PDU) session. In the method, for a task to be processed with large transmission data quantity, a session management functional entity respectively determines an idle period of a network and/or an idle period of a terminal in the transmission effective time according to the transmission effective time of the task to be processed. And thus transmits the task to be processed to the network by establishing the PDU session during the idle period of the terminal and/or the idle period of the network. The method avoids the problems of low resource utilization rate and low task processing efficiency caused by the fact that a terminal sends a task to be processed with larger data quantity to a network at any time and a network side distributes wireless resources for the task to be processed as much as possible in the prior art. On one hand, the method and the device send the task to be processed to the network in the idle period of the terminal and/or the idle period of the network, so that the resource utilization rate and the task processing efficiency are improved. For example, aiming at the problems existing in the terminal, the terminal can be instructed to send the task to be processed in the idle period of the terminal, which occurs in the determined effective transmission time of the task to be processed, so that the resource utilization rate is improved; for the problems existing in the network, the session management functional entity can instruct the terminal to send the task to be processed in the determined idle period of the network, so that network resources are fully utilized, and the resource utilization rate is improved. On the other hand, the task processing with large transmission data quantity is performed in the idle period of the network, and other task processing by using network resources can be not influenced; and/or the task uploading is carried out by using the idle period of the terminal, so that the processing process of other tasks in the terminal is not influenced, and the task processing efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:

FIG. 1 schematically illustrates a system architecture diagram of a task processing method according to an exemplary embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow diagram of a task processing method according to an exemplary embodiment of the present disclosure;

FIG. 3 schematically illustrates a process diagram for determining a target time period when a coincidence period is greater than a transmission duration, according to an example embodiment of the present disclosure;

fig. 4 schematically illustrates a process of determining a target time period when a coincidence period is equal to a transmission duration according to an exemplary embodiment of the present disclosure;

Fig. 5 schematically illustrates a process of determining a target time period when a coincidence period is less than a transmission duration according to an exemplary embodiment of the present disclosure;

FIG. 6 schematically illustrates a process diagram for determining a target time period according to an exemplary embodiment of the present disclosure;

FIG. 7 schematically illustrates an overall task processing method according to an exemplary embodiment of the present disclosure;

FIG. 8 schematically illustrates a schematic diagram of a storage medium according to an exemplary embodiment of the present disclosure; and

fig. 9 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will recognize that the aspects of the present disclosure may be practiced with one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

The flow diagrams depicted in the figures are exemplary only and not necessarily all steps are included. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.

The task processing method provided by the embodiment of the disclosure can be applied to an application scenario in which a terminal sends a task to be processed to a network, the network allocates network resources according to the task to be processed sent by the terminal to process the task, and particularly to an application scenario in which a network side allocates network resources according to the task to be processed, which is sent by the terminal and has a large transmission data amount, to process the task. The task to be processed with large transmission data volume can be an AI task, a machine learning task or other tasks with large transmission data volume. Taking an AI task as a task to be processed as an example, the AI task has large transmission data volume and needs to adjust the transmission task in real time according to the network state. After the terminal runs the application program using the AI technology, the terminal can send the AI task to the network side, and the network side can allocate the network resources required by the AI task according to the AI task, so that the task processing is performed by using the allocated network resources.

It should be understood that, in the exemplary embodiment of the present disclosure, the task processing method provided by the present disclosure may also be applied to a scenario where the network application layer performs federal learning, where the application server needs to issue a base model to enable the group terminal to iterate continuously, and the task processing method provided by the present disclosure may be utilized in the process of performing each iteration. Meanwhile, the task processing method provided by the disclosure can be also applied to the situation that the network is busy, the network can acquire the requirement of initiating the AI task and judge that the current network state cannot meet the requirement by utilizing the task processing method provided by the disclosure, the server can be directly informed through application management that the network state of the terminal cannot meet the transmission of the AI task, and the server can reselect the terminal for federal learning or distributed learning.

At present, the terminal can send a task to be processed to the network side at any moment, and the network side can allocate network resources required by the task to be processed according to the task to be processed after receiving the task to be processed. For the task to be processed with large data transmission quantity, a large amount of resources are required to be occupied for a long time, for example, the terminal transmits the task to be processed and occupies a large amount of terminal resources for a long time so as to influence the transmission of other tasks in the terminal; or when the network processes the task to be processed, a large amount of network resources are required to be occupied for a long time, and the processing of other tasks is influenced. Thereby causing problems of low resource utilization and low task processing efficiency.

In view of the foregoing, exemplary embodiments of the present disclosure provide a task processing method. According to the task processing method, the idle period of the network and/or the idle period of the terminal in the transmission effective time can be determined to indicate task transmission in the idle period of the terminal and/or task processing in the idle period of the network, so that the resource utilization rate and the task processing efficiency are improved. For example, for problems at the terminal side, the session management function entity may determine an idle period of the terminal within the transmission valid time, so as to indicate, according to the idle period of the terminal, a time when the terminal may send a task to be processed through the established PDU session. And further, the task to be processed is ensured to be sent to the network in the idle period of the terminal, and the resource utilization rate and the task processing efficiency are improved. Aiming at the problems of the network side, the session management functional entity can determine the idle period of the network in the transmission effective time according to the transmission effective time of the task to be processed, so that the terminal can send the time of the task to be processed through the established PDU session according to the idle period of the network, and the resource utilization rate and the task processing efficiency are improved. Or the session management functional entity can determine the idle time of the network and the idle time of the terminal in the transmission effective time according to the transmission effective time of the task to be processed, so that the terminal can send the time of the task to be processed through the established PDU session according to the idle time of the network and the idle time of the terminal, thereby improving the resource utilization rate and the task processing efficiency.

Fig. 1 is a system architecture diagram of a task processing method according to an embodiment of the present disclosure, and as shown in fig. 1, the system includes a unified data management function entity 10, a network data analysis function 12, a session management function entity 14, and a terminal 16. Among them, the unified data management function entity 10, the network data analysis function 12, and the session management function entity 14 belong to a network side, and the terminal 10 belongs to a terminal side.

Specifically, the terminal 16 may initiate a task to be processed and send a transmission valid time of the task to be processed to the network side. The unified data management functional entity 10 may obtain the transmission valid time of the task to be processed sent by the terminal 16, and send the transmission valid time of the task to be processed to the session management functional entity 14. Meanwhile, the network data analysis function 12 may analyze the collected data to generate a data analysis result, and the session management function 14 may obtain the data analysis result to determine an idle period of the network and an idle period of the terminal in the transmission valid time.

After receiving the transmission valid time of the task to be processed sent by the unified data management function entity 10 and the idle period of the network and/or the idle period of the terminal 16 within the transmission valid time sent by the network data analysis function 12, the session management function entity 14 can generate a target period of time for the terminal 16 to send the task to be processed to the network side. Then, the session management functional entity 14 sends a task processing instruction to the terminal 16, and after receiving the task processing instruction, the terminal 16 can establish a PDU session to send a task to be processed in a target time period, so as to process the task in the network resources allocated by the network side.

It should be noted that the unified data management function entity 10, the network data analysis function 12, and the session management function entity 14 may be one server, or may be a server cluster formed by a plurality of servers.

It should be understood that in the system architecture shown in fig. 1, the number of unified data management function entities 10, network data analysis function 12, and session management function entities 14, terminals 16 is merely exemplary, and that a greater or lesser number is within the scope of the present disclosure. Also, in the example operational scenario described above, the terminal may be, for example, a personal computer, a server, a palm top (Personal Digital Assistant, PDA), a notebook, or any other computing device having networking functionality. The networks for communication between the unified data management function entity 10, the network data analysis function 12, the session management function entity 14, and the terminal 16 may include various types of wired and wireless networks such as, but not limited to: internet, local area network, wireless fidelity (Wireless Fidelity, WIFI), wireless local area network (Wireless Local Area Networks, WLAN), cellular communication network (general packet radio service technology (General Packet Radio Service, GPRS), code division multiple access (Code Division Multiple Access, CDMA), 2G/3G/4G/5G cellular network), satellite communication network, and the like.

Having knowledge of the system architecture of the present disclosure, a detailed description of the scheme of the task processing method of the present disclosure is provided in connection with fig. 2.

Fig. 2 is a flow chart of a task processing method according to an embodiment of the present disclosure, where the task processing method may be performed by any device that performs the task processing method, and the device may be implemented by using software and/or hardware. In this embodiment the device may be integrated in the session management function 14 as shown in fig. 1. As shown in fig. 2, the task processing method provided by the embodiment of the present disclosure may include the following steps:

s20, acquiring transmission effective time of the task to be processed.

The task to be processed is a service request sent by the terminal to the network side, and the network generally distributes corresponding network resources to the service request sent by the terminal when the service request is received by the network; the transmission effective time of the task to be processed refers to the effective time when the terminal needs to send the task to be processed to process the task in the allocated network resource. If the task is not transmitted in the transmission effective time to process the task, the task to be processed is invalid. Taking the task to be processed as an AI task as an example, assume that the transmission effective time of the AI task is 12:00 to 18:30, the terminal must send the AI task in the time period, otherwise, the terminal cannot send the AI task or allocate network resources for the AI task and perform task processing.

It can be understood that the number of the tasks to be processed acquired by the session management functional entity is not limited, and may be one or more, and each task to be processed corresponds to a transmission valid time. Wherein the transmission effective time may be a continuous time, e.g. 12 on a particular day: 00 to 18:30; or may be discontinuous in time, such as 12 on a particular day: 00 to 15:30 and 17:00 to 18:30.

in an exemplary embodiment of the present disclosure, the transmission valid time of the task to be processed may be obtained from a unified data management function entity, or may be obtained from other network elements. The following description will take the transmission valid time of the task to be processed obtained from the unified data management function entity as an example.

In an exemplary embodiment of the present disclosure, the session management function entity may send a subscription message to the unified data management function entity to obtain a transmission valid time of a task to be processed in the terminal. The session management functional entity may be a network element SMF (Session Management Function), and the unified data management functional entity may be a network element UDM (Unified Data Management).

The session management functional entity may send a subscription message to the unified data management functional entity in real time, so as to update the acquired task to be processed in the terminal and the transmission valid time of the task to be processed in real time; meanwhile, the session management functional entity can update and acquire the task to be processed in the terminal and the transmission effective time of the task to be processed by taking the preset time as a period. The method for the session management functional entity to acquire the task to be processed and the transmission effective time of the task to be processed is not particularly limited.

S22, acquiring a data analysis result from the network data analysis functional entity, and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result.

The data analysis result may be a data analysis result of a network state or a data analysis result of a terminal state. The idle period of the network can be a period with more idle network resources or a period with idle network resources of any size, or a period with unprocessed tasks of the network; the idle period of the terminal is a period in which the terminal does not transmit any service request, or the data volume of the terminal transmitting the service request is smaller, or the terminal has a period in which the service request can be transmitted by any size resource.

In an exemplary embodiment of the present disclosure, the session management function entity may transmit a subscription message to the network data analysis function (Network Data Analytics Function, NWDAF) to acquire a data analysis result of the network state and a data analysis result of the terminal state.

In one embodiment of the present disclosure, the NWDAF may collect data from other network element entities and obtain analysis results of the collected data. Including transmitting the data analysis results of the network state and the data analysis results of the terminal state in the valid time, and others. The session management function entity may obtain the corresponding data analysis result from the NWDAF according to the subscription message sent to the NWDAF. For example, the session management function entity sends a message subscribing to the data analysis result of the network state to the NWDAF, and the NWDAF returns the data analysis result of the network state to the session management function entity. The NWDAF may also return all collected data analysis results to the session management function entity.

Taking an example of processing a task to be processed with a large amount of transmission data as an example, in an exemplary embodiment of the present disclosure, a session management functional entity may obtain a data analysis result of a network state to determine an idle period of the network within a transmission valid time of the task to be processed, so as to determine a target time period according to the idle period of the network, to instruct a terminal to send the task to be processed within the target time period, aiming at the problem that the network side has low resource utilization rate caused by processing that the task to be processed is occupied by a large amount of network resources for a long time and low task processing efficiency caused by influencing other task processing. The process improves the resource utilization rate and the task processing efficiency.

In still another exemplary embodiment of the present disclosure, for the problem of low resource utilization rate caused by long transmission time of the task to be processed existing at the terminal side and low task processing efficiency caused by affecting the terminal to process other tasks, the session management functional entity may acquire a data analysis result of the terminal state to determine an idle period of the terminal within the transmission valid time, so as to determine a target period according to the idle period of the terminal, so as to instruct the terminal to upload the task in the target period. The process improves the resource utilization rate and the task processing efficiency.

In another exemplary embodiment of the present disclosure, for the problem that the resource utilization rate and the task processing efficiency of the terminal and the network exist simultaneously, the data analysis result of the network state and the data analysis result of the terminal state may be obtained simultaneously to determine an idle period of the network and an idle period of the terminal in the transmission effective time, and the target time period may be determined according to the idle period of the network and the idle period of the terminal, so as to instruct the terminal to upload the task in the target time period. The process improves the resource utilization rate and the task processing efficiency.

The session management functional entity may determine an idle period of the Network according to a data analysis result of the Network state, where the data of the Network state may include load information of a Network Function (NF), network performance, and the like; the idle period of the terminal may be determined by a data analysis result of the terminal state, which may include terminal communication, program operation information, and the like.

In an exemplary embodiment of the present disclosure, the session management function entity may send a subscription message to the NWDAF in real time, and the session management function entity may update the idle period of the network and the idle period of the terminal within the transmission valid time with a preset time as a period. The present disclosure does not specifically limit the manner in which the session management function entity determines the idle period of the network and the idle period of the terminal within the transmission valid time. Meanwhile, the NWDAF may automatically send the data analysis result to the session management functional entity after the preset condition is met, for example, a certain parameter exceeds a preset threshold, a certain parameter is lower than a preset threshold, or the NWDAF periodically automatically returns the data analysis result to the session management functional entity.

In an exemplary embodiment of the present disclosure, after the session management functional entity obtains the parameter information of the task to be processed from the UDM, the session management functional entity may be triggered to obtain the data analysis result from the NWDAF according to the obtained parameter information. For example, the session management function entity may obtain the status data result and/or the network status analysis result of the terminal from the NWDAF according to the identification information of the terminal in the parameter information as a trigger condition. The session management functional entity may also obtain parameter information of the task to be processed from the UDM and obtain a data analysis result from the NWDAF at the same time, which is not limited in the present disclosure.

S24, determining a target time period according to the idle period of the network and/or the idle period of the terminal.

Specifically, the session management functional entity obtains the transmission valid time of the task to be processed from the UDM according to step S20, and determines the target time period after determining the idle period of the network and/or the idle period of the terminal in the transmission valid time from the NWDAF according to step S22. The target time period is a time period in which the terminal can send a task to be processed and process the task by using network resources.

Next, a procedure of determining the target period according to the idle period of the network or the idle period of the terminal will be described.

In an exemplary embodiment of the present disclosure, a session management function entity acquires a data analysis result of a network state to determine an idle period of a network within a transmission valid time, thereby determining the idle period of the network as a target period.

Illustratively, the idle period of the network during the transmission active time is directly determined as the target period. The process can fully utilize network resources to inform the terminal of uploading processing tasks when the network is idle, so that the problem that the processing of other tasks caused by the fact that a large amount of network resources are occupied for a long time due to the large transmission data of the tasks to be processed when the related technology is busy or the network resources are occupied more is avoided, and the user experience is influenced. The processing of the other tasks may be a plurality of tasks to be processed sent by a plurality of terminals, or a plurality of tasks to be processed sent by one terminal.

In still another exemplary embodiment of the present disclosure, the session management function entity obtains a data analysis result of the state of the terminal to determine an idle period of the terminal within a transmission valid time, and determines the target period according to the idle period of the terminal.

For example, after determining the idle period of the terminal within the transmission effective time, the idle period of the terminal may be determined as the target period. The process can fully utilize the resources of the terminal to upload the processing tasks when the terminal is idle, so that the problem that when the related technology terminal initiates more tasks, the transmission data volume of the tasks to be processed is large, and other tasks in the terminal are started due to the occupation of the terminal resources, and the user experience is influenced is avoided.

In some exemplary embodiments, the target period may be determined according to an idle period of the network and a transmission duration of the task to be processed, or the idle period of the terminal and the transmission duration of the task to be processed.

Specifically, in another exemplary embodiment of the present disclosure, a transmission duration of a task to be processed may be obtained from a unified data management functional entity, and an idle period of the network may be determined; and determining a target time period according to the transmission time length of the task to be processed and the idle time period of the network. It should be understood that the transmission duration of the task to be processed may be obtained from the unified data management functional entity or may be obtained from other network elements, and the transmission duration of the task to be processed is taken as an example and described below.

Specifically, after determining the idle period of the network, if the transmission time of the task to be processed is longer than the idle period of the network, splitting the transmission time of the task to be processed according to the transmissible time of the idle period of the network, and continuing processing the task to be processed with the corresponding transmission time which is not processed in the idle period of the next network. By the method, fragmented network resources can be fully utilized to perform task processing, and the utilization rate of the network resources is improved.

In yet another exemplary embodiment of the present disclosure, a transmission duration of a task to be processed is obtained from a unified data management function entity, and an idle period of the terminal is determined; and determining a target time period according to the transmission time length of the task to be processed and the idle time period of the terminal.

Specifically, after determining the idle period of the terminal, if the transmission time of the task to be processed is longer than the idle period of the terminal, splitting the transmission time of the task to be processed according to the transmissible time of the idle period of the terminal, and continuing processing the task to be processed with the corresponding transmission time which is not processed in the idle period of the next terminal. By the method, fragmented terminal resources can be fully utilized to process tasks, so that the influence on the starting of other tasks of the terminal is avoided, and the utilization rate of the terminal resources is improved.

Next, the present disclosure will explain exemplary embodiments of determining a target period from an idle period of a network and an idle period of a terminal.

In one exemplary embodiment of the present disclosure, a coincidence period of an idle period of a network and an idle period of a terminal is determined as a target period.

Specifically, in the effective transmission time of the task to be processed, the coincidence time period of the idle time period of the network and the idle time period of the terminal is satisfied by the simultaneous condition that the network is in the idle time period and the terminal is in the idle time period. For example: the effective transmission time of the task to be processed is 12 of a specific day: 00 to 18:30, and at the same time, it can be determined that the idle period of the network is 12:30 to 15:40, and the idle period of the terminal is 14:00 to 18:30, it may be determined that the period of coincidence between the idle period of the network and the idle period of the terminal, which is also the target period of time is 14:30 to 15:40.

And taking the coincidence time period of the idle time period of the network and the idle time period of the terminal as a target time period, so that the terminal can upload the task to be processed in the determined target time period, and task processing is carried out when the network and the terminal are both in the idle time period. The process can avoid that a large amount of network resources are occupied for a long time and other tasks cannot be processed, and improves the task processing efficiency. And meanwhile, the task with large transmission data quantity is processed by fully utilizing the network idle period, so that the utilization rate of network resources is improved.

In one exemplary embodiment of the present disclosure, a transmission duration of a task to be processed is obtained from a unified data management function entity; determining a coincidence period of an idle period of the network and an idle period of the terminal; and determining a target time period according to the transmission time length and the coincidence time period of the task to be processed.

Specifically, the session management functional entity may further obtain a transmission duration of the task to be processed from the UDM, where the transmission duration of the task to be processed is a time required for allocating resources to the task to be processed and performing task processing. And then determining the coincidence time period of the idle time period of the network and the idle time period of the terminal, and determining the target time period by comparing the transmission time length and the coincidence time period.

The target time period is determined through the transmission time length of the task to be processed and the coincidence time period, and the target time period capable of transmitting the task to be processed can be selected from the coincidence time period of the idle time period of the network and the idle time period of the terminal according to the transmission time length of the task to be processed. The process can process the task to be processed corresponding to the transmission time length in the target time period, so that the task processing efficiency is improved.

When a target time period is determined according to the transmission time length and the coincidence time period of the idle time period of the network and the idle time period of the terminal, if the coincidence time period is greater than or equal to the transmission time length of the task to be processed, determining the coincidence time period as the target time period; and if the coincidence time period is smaller than the transmission time period of the task to be processed, determining the coincidence time period with the sum being greater than or equal to the transmission time period as a target time period.

Next, a process of determining the target period according to the transmission duration and the coincidence period of the idle period of the network and the idle period of the terminal will be schematically described in detail with reference to fig. 3, 4, and 5.

Referring to fig. 3 and 4, fig. 3 schematically illustrates a process of determining a target period when a coincidence period is greater than a transmission period according to an exemplary embodiment of the present disclosure. Fig. 4 schematically illustrates a process of determining a target period when a coincidence period is equal to a transmission duration according to an exemplary embodiment of the present disclosure.

Fig. 3 shows that the transmission effective time T of the task to be processed, the idle periods T20 and T22 of the network, the terminal idle period T1 and the transmission duration T3 of the task to be processed are included on the time axis, and the idle periods T20 and T22 of the network are discontinuous in two time periods. Wherein, the coincidence period of the idle period T22 of the network and the idle period T1 of the terminal is T1.

Specifically, as known from the determined transmission duration T3 of the task to be processed and the overlapping period T1 of the network idle period and the terminal idle period, if the overlapping period T1 is greater than the transmission duration T3 of the task to be processed, the idle period T2 in the overlapping period T1 is determined to be a target period according to the transmission duration T3 of the task to be processed, where the target period is the same as the transmission duration T3 of the task to be processed. The terminal may perform task transmission and processing at the start time of the target period.

On the basis of fig. 3, fig. 4 is a similar manner, and includes, on a time axis, a transmission effective time T of a task to be processed, idle periods T20 and T22 of the network, an idle period T1 of the terminal, and a transmission duration T3 of the task to be processed, where the idle periods T20 and T22 of the network are discontinuous in a time domain. Wherein, the coincidence period of the idle period T22 of the network and the idle period T1 of the terminal is T1.

Specifically, according to the determined transmission time T3 of the task to be processed and the overlapping time T1 of the network idle time period and the terminal idle time period, if the overlapping time T1 is equal to the transmission time T3 of the task to be processed, the overlapping time T1 is determined to be the target time period.

Referring to fig. 5, fig. 5 schematically illustrates a process of determining a target period when a coincidence period is less than a transmission duration according to an exemplary embodiment of the present disclosure. In fig. 5, the time axis includes a transmission effective time T of a task to be processed, idle periods T20 and T22 of the network, an idle period T1 of the terminal, and a transmission duration T3 of the task to be processed, and at the same time, the idle periods T20 and T22 of the network are discontinuous in two time periods. Wherein, the coincidence time period a1 of the idle time period t20 of the network and the idle time period t1 of the terminal is the idle time period t20 of the network; the coincidence period a2 of the idle period t22 of the network and the terminal idle period t1 is the idle period t22 of the network. And the idle period t20 of the network is smaller than the transmission time t3 of the task to be processed.

In an exemplary embodiment of the present disclosure, the coincidence period t20 and the transmission duration of the task to be processed are preferentially determined in time sequence. In this embodiment, the overlapping period a1 is smaller than the transmission duration of the task to be processed, and the task to be processed, which is matched with the transmission duration T30, is transmitted in the overlapping period a1, where the overlapping period a1 is the target period T1; the task time period T32 which is not processed in the coincidence period a1 may continue to be processed in the next coincidence period a2, at which time the target time period T2 may be determined from the task time period T32. Through the above process, it can be known that the target time period T1 and the target time period T2 are both determined target time periods.

It should be appreciated that in this exemplary embodiment, the processing of the task to be processed for the transmission duration T3 may be completed using the target time period T1, the target time period T2. If the target time period T2 is still not processed to complete the task to be processed, the same can continue to use the next overlapping time period until the processing is completed.

Taking the processing of the AI task as an example, after the terminal uploads the AI task in the target time period, the network application layer can split the AI task according to the target time period T1 and the target time period T2, so as to obtain an AI task 1 and an AI task 2. AI task 1 and AI task 2 are then assigned to target period T1, target period T2, respectively. In addition, the processing of the AI task may be continued when the coincidence period a2 is reached by interrupting the processing of the task to be processed having the corresponding transmission time length in the coincidence period a 1. The present disclosure does not limit any specific implementation of how to perform the time-division processing on one task to be processed.

According to the method for determining the target time period according to the time sequence of the overlapping time periods, on one hand, all the overlapping time periods determined in the transmission effective time of the task to be processed can be fully utilized to process the task, if the overlapping time periods are smaller than the transmission time length, the task to be processed can be split and transmitted, and therefore the multiple fragmented overlapping time periods are fully utilized to perform joint processing. On the other hand, the efficiency of task processing can be improved.

In another exemplary embodiment of the present disclosure, all coincidence periods are acquired; and determining the coincidence time period which is greater than or equal to the transmission time length of the task to be processed as a target time period. Next, a schematic diagram of a process of determining a target period according to an exemplary embodiment of the present disclosure will be schematically illustrated in connection with fig. 6.

As shown in fig. 6, fig. 6 includes a transmission effective time T of a task to be processed, idle periods T20, T21, T22 of the network, a terminal idle period T1, and a transmission duration T3 of the task to be processed on a time axis. Assuming that the idle period T20 of the network is equal to the transmission duration T3 of the task to be processed in the transmission effective time T period of the task to be processed, the idle period T21 of the network is greater than the transmission duration T3 of the task to be processed, and the idle period T22 of the network is less than the transmission duration of the task to be processed. The idle period t20 of the network and the idle period t21 of the network can be determined as target time periods, so that the terminal can send the task to be processed in the target time periods.

It should be understood that, for the idle period t21 of the network to be longer than the transmission time period of the task to be processed, a period of time that coincides with the transmission time period of the task to be processed in the idle period t21 of the network may also be taken as the target period of time. So that network resources can be fully utilized.

By directly selecting the coincidence time period which is longer than or equal to the transmission time period of the task to be processed from a plurality of coincidence time periods as a target time period, the task processing can be completed without task splitting, so that data errors possibly caused by task splitting are avoided, and the safety of the task processing is ensured.

S26, a task processing instruction is sent to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is sent by the terminal in the target time period through a protocol data unit PDU session established by responding to the task processing instruction.

In some embodiments of the present disclosure, after determining the target time period, the session management function entity transmits a task processing instruction to the terminal, and the terminal may establish a PDU session according to the target time period included in the task processing instruction to perform transmission of the task to be processed. Through PDU conversation, the terminal can send data to the network or the server, or can download data from the network or the server, for example, the terminal sends a task to be processed to the server, and the server feeds back the task processing result to the terminal. For example, the session management function determines the target period to be 14 on a particular day: 00-16: 30. 18: 30-19: 40 and 20: 00-23: and 00, sending a task processing instruction to the terminal, wherein the task processing instruction comprises the target time period. The terminal can establish PDU session according to the task processing instruction to send the task to be processed in any target time period, so as to realize task processing.

In some embodiments of the present disclosure, a transmission effective time of a task to be processed is obtained; acquiring a data analysis result from a network data analysis functional entity, and determining an idle period of the network and an idle period of the terminal in the effective transmission time according to the data analysis result; determining a target time period according to the idle period of the network and the idle period of the terminal; and sending a task processing instruction to the terminal, wherein the task processing instruction comprises a target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is sent in the target time period through a Protocol Data Unit (PDU) session. In the method, for a task to be processed with large transmission data quantity, a session management functional entity respectively determines an idle period of a network and/or an idle period of a terminal in the transmission effective time according to the transmission effective time of the task to be processed. Therefore, the terminal can send the task to be processed to the network in the idle period of the terminal and/or the idle period of the network according to the task processing instruction of the network in the effective transmission time of the task to be processed. The method avoids the problems of low resource utilization rate and low task processing efficiency caused by the fact that a terminal sends a task to be processed with larger data quantity to a network at any time and a network side distributes wireless resources for the task to be processed as much as possible in the prior art. On the one hand, the method and the device send the task to be processed to the network through the established PDU session in the idle period of the terminal and/or the idle period of the network, so that the resource utilization rate and the task processing efficiency are improved. For example, aiming at the problems existing in the terminal, the terminal can be instructed to upload the task to be processed through the established PDU session in the terminal idle period occurring in the determined transmission effective time of the task to be processed, so that the resource utilization rate is improved; for the problems existing in the network, the session management functional entity can instruct the terminal to upload the task to be processed through the established PDU session in the determined idle period of the network, so that the network resources are fully utilized, and the resource utilization rate is improved. On the other hand, the task processing with large transmission data quantity is performed in the idle period of the network, and other task processing by using network resources can be not influenced; and/or the task uploading is carried out by using the idle period of the terminal, so that the processing process of other tasks in the terminal is not influenced, and the task processing efficiency is improved.

On the basis of the above-mentioned exemplary embodiment, before the session management functional entity obtains the transmission valid time of the task to be processed, the parameter information of the task to be processed, which is sent by the application functional entity through the network open functional entity and is transmitted through the unified data management functional entity, may be obtained in advance, where the parameter information includes the transmission valid time and the transmission duration of the task to be processed; and sending a subscription message to the unified data management functional entity to acquire the transmission effective time and the transmission duration of the task to be processed.

Taking a task to be processed as an AI task as an example, the terminal may send parameter information of the AI task to the network in advance, wherein the parameter information of the AI task and its functional description are shown in Table 1, the parameter information of the AI task sent to the network in Table 1 is exemplary, and the task parameter information of the terminal opened to the network may be selected according to actual requirements. The parameter information of the AI task shown in table 1 includes an identifier of the AI task, and the terminal may initiate the AI task through the AI application, so any terminal, AI application, and AI task may have unique identification information, which may be referred to as identifying the terminal, identifying the application, and identifying the AI task. For example: one terminal may correspond to a plurality of AI applications, each AI application having identification information, and one AI application may correspond to a plurality of AI tasks, each AI task also having identification information.

TABLE 1

The in-network application function (Application Function, AF) may receive the parameter information of the AI task transmitted by the terminal, and the AF may register the parameter information of the AI task in terminal subscription data capable of performing the AI task through the network opening function (Network Exposure Function, NEF) and transmit it to the UDM. Therefore, the session management function entity SMF sends subscription information to the UDM to acquire the identification information of a certain AI task and the identification information of a corresponding terminal, and acquires the information such as the transmission effective time, the transmission duration and the like of the AI task.

In another embodiment of the present disclosure, after the AF receives the parameter information of the task to be processed sent by the terminal, the parameter information of the task to be processed may be directly sent to the unified data management function entity UDM, where the parameter information of the task to be processed may include a transmission valid time and a transmission duration of the task to be processed.

The method solves the problem that the user opens partial parameter information to the network in SA2 stand, solves the problem of sharing across manufacturer models, and fills up the blank in the current communication standard. On the other hand, the method meets the task requirement of the AI task type under the condition that the network information is not revealed, can ensure the data privacy of the user, and effectively helps an operator to monitor and control the network resource and the AI task type.

The entire task processing procedure of one task processing method according to an exemplary embodiment of the present disclosure will be described in detail with reference to fig. 7.

It should be noted that although the steps of the methods in the present disclosure are depicted in the accompanying drawings in a particular order, this does not require or imply that the steps must be performed in that particular order, or that all illustrated steps be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

The task to be processed is exemplified as an AI task. First, parameter information is transmitted in step S701. The terminal may send parameter information of the AI task to the application function AF in advance. In general, the terminal can send parameter information of an AI task to the AF in advance to be selected, and the selected terminal can perform distributed learning or federal learning; if the parameter information of the AI task is not sent in advance, the parameter information is not selected. Meanwhile, the AI task can be split according to the network resource condition so as to fully utilize the idle network resource. In this step, the parameter information includes identification information of the terminal that transmitted the AI task, identification information of the corresponding AI application, and identification information of the AI task.

In step S703, the terminal registers and generates registration information. The present disclosure may enhance an external parameter setting function existing in the current standard, thereby enabling the AF to add parameter information of an AI task to a terminal registration database through a network opening function NEF. The identification information of the terminal, the identification information of the AI application program contained in the terminal, the corresponding AI task identifier, the transmission effective time and the transmission time length of each AI task and other information can be determined through the parameter information of the AI task. AF sends partial parameter information of AI task to network in advance through NEF so as to control AI task. In addition, the AF may directly send the parameter information of the AI task to the UDM.

Then, step S705 is executed to send registration information, where the registration information includes parameter information. The terminals in the registration information have a correspondence with the AI application and AI task.

In step S707, a subscription message is transmitted. That is, the SMF may send a subscription message to the UDM to obtain the transmission validity time, transmission duration, identifier of the AI task, and terminal identifier, application identifier of the AI task. Then, step S709 is performed to update the registration information. That is, the UDM sends updated registration information to the SMF to update the added, modified, deleted terminals, AI tasks, split AI tasks, modified other parameters, and the like.

Meanwhile, the network data analysis function NWDAF may acquire data from other network element entities in real time to obtain a data analysis result. Therefore, step S711 is performed to transmit a subscription message of the network/terminal analysis result.

Then, in step S713, the network state analysis result and the terminal state analysis result are transmitted. After the NWDAF receives the subscription message, the NWDAF returns a data analysis result to the SMF, that is, the data analysis result includes a network state analysis result, a terminal state analysis result, and the like, so as to help the SMF determine an idle period of the network and an idle period of the terminal in a transmission effective time of the AI task. Meanwhile, the NWDAF may also provide a return condition for sending the data analysis result, where the condition may be that the data analysis result is periodically returned to the SMF, or the data analysis result is determined to be returned to the SMF according to a preset threshold, and may be specifically set according to requirements.

Then, the SMF performs step S715 to determine a target period according to the acquired parameter information of the AI task and the determined idle period of the network and the idle period of the terminal. Specifically, through a subscription data analysis result, the auxiliary SMF determines an idle period of the network and an idle period of the UE corresponding to the AI task; the terminal can determine the target time period for sending the AI task to the network and processing the AI task in the network resource through the parameter information of the AI task, thereby ensuring that the network can provide sufficient network resource to process the task, simultaneously ensuring that the transmission of other services of the terminal and the task transmission of other terminals are not affected, and improving the efficiency of task processing.

Finally, in step S717, a task processing instruction is transmitted. The SMF can send a task processing instruction to the terminal corresponding to the identification information of the AI task through an access and mobile management function (Access and Mobility Management Function, AMF), wherein the task processing instruction comprises a target time period for the terminal to send the AI task, so that the target time period for the terminal to upload the AI task is suggested to the terminal. The terminal may then initiate a procedure or change procedure in accordance with the PDU session according to the target time period in the task processing instructions to initiate a PDU session for the AI task. The terminal may upload data from the PDU session or download data, for example, upload a task to be processed using the PDU session, and receive a processing result of the task to be processed through the PDU session.

According to some embodiments of the present disclosure, in the whole task processing process of the task processing method, the process of determining the target time period by the SMF sending only a subscription message to the NWDAF to obtain a data analysis result of the network state and determining an idle time period of the network according to the data analysis result of the network state may also be included. Or may include a process in which the SMF transmits only the subscription message to the NWDAF to acquire the data analysis result of the terminal state and determines the idle period of the terminal according to the data analysis result of the terminal state, thereby determining the target period.

In the method, for a task to be processed with large transmission data quantity, a session management functional entity respectively determines an idle period of a network and an idle period of a terminal in the transmission effective time according to the transmission effective time of the task to be processed. Therefore, the terminal can send the task to be processed to the network in the idle period of the terminal and the idle period of the network according to the task processing instruction of the network in the effective transmission time of the task to be processed. The method avoids the problems of low resource utilization rate and low task processing efficiency caused by the fact that in the prior art, the terminal sends the task to be processed to the network at any time, and the network side distributes wireless resources for the task to be processed as much as possible, so that the wireless resources are occupied for a large amount for a long time, and the processing of other tasks is affected. On one hand, the method and the device send the task to be processed to the network in the idle period of the terminal and/or the idle period of the network, so that the resource utilization rate and the task processing efficiency are improved. For example, aiming at the problems existing in the terminal, the terminal can be instructed to upload the task to be processed in a terminal idle period which occurs in the determined transmission effective time of the task to be processed, so that the resource utilization rate is improved; for the problems existing in the network, the session management functional entity can instruct the terminal to upload the task to be processed in the determined idle period of the network, so that network resources are fully utilized, and the resource utilization rate is improved. On the other hand, the task processing with large transmission data quantity is performed in the idle period of the network, and other task processing by using network resources can be not influenced; and/or the task uploading is carried out by using the idle period of the terminal, so that the processing process of other tasks in the terminal is not influenced, and the task processing efficiency is improved.

Further, in this example embodiment, a task processing device is also provided.

Fig. 8 schematically illustrates a block diagram of a task processing device according to an exemplary embodiment of the present disclosure. Referring to fig. 8, the task processing device 8 according to an exemplary embodiment of the present disclosure may include an information acquisition module 80, a first determination module 82, a second determination module 84, and an instruction transmission module 86, wherein:

the information acquisition module 80 may be configured to acquire a transmission valid time of a task to be processed; the first determining module 82 may be configured to obtain a data analysis result from the network data analysis functional entity, and determine an idle period of the network and/or an idle period of the terminal within a transmission valid time according to the data analysis result; a second determining module 84, configured to determine a target time period according to an idle period of the network and/or an idle period of the terminal; and the instruction sending module 86 may be configured to send a task processing instruction to the terminal, where the task processing instruction includes a target time period, so as to receive a task to be processed, and the task to be processed is a task that the terminal establishes a protocol data unit PDU session in response to the task processing instruction and sends in the target time period through the PDU session.

In an exemplary embodiment of the present disclosure, the second determining module 84 is further configured to obtain a transmission duration of the task to be processed; determining a coincidence period of an idle period of the network and an idle period of the terminal; and determining a target time period according to the transmission time length and the coincidence time period of the task to be processed.

In an exemplary embodiment of the present disclosure, the second determining module 84 is further configured to determine the coincidence period as the target period of time if the coincidence period is greater than or equal to the transmission duration of the task to be processed; and if the coincidence time period is smaller than the transmission time period of the task to be processed, determining the coincidence time period with the sum being greater than or equal to the transmission time period as a target time period.

In an exemplary embodiment of the present disclosure, the second determining module 84 is further configured to determine, as the target time period, a coincidence period that is greater than or equal to a transmission duration of the task to be processed.

In an exemplary embodiment of the present disclosure, the second determining module 84 is further configured to determine the target time period according to an idle period of the network and a transmission duration of the task to be processed, or determine the target time period according to an idle period of the terminal and a transmission duration of the task to be processed.

In an exemplary embodiment of the present disclosure, the information obtaining module 80 is configured to obtain, in advance, parameter information of a task to be processed, which is sent by an application functional entity and is transmitted via a unified data management functional entity, where the parameter information includes a transmission valid time and a transmission duration of the task to be processed; the instruction sending module 86 is further configured to send a subscription message to the unified data management function entity to obtain a transmission valid time and a transmission duration of the task to be processed.

The task processing device 80 provided in the embodiments of the present disclosure may execute the technical scheme of the task processing method in any of the embodiments, and the implementation principle and beneficial effects of the task processing method are similar to those of the task processing method, and may refer to the implementation principle and beneficial effects of the task processing method, and will not be described herein.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when the program product is run on the terminal.

A program product for implementing the above-described method according to an embodiment of the present invention may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

An electronic device 900 according to such an embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.

As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting the different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.

Wherein the storage unit stores program code that is executable by the processing unit 910 such that the processing unit 910 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 910 may perform steps S20 to S26 as shown in fig. 2.

The storage unit 920 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 9201 and/or cache memory 9202, and may further include Read Only Memory (ROM) 9203.

The storage unit 920 may also include a program/utility 9204 having a set (at least one) of program modules 9205, such program modules 9205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

The bus 930 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 900 may also communicate with one or more external devices 1000 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 900 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 950. Also, electronic device 900 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 960. As shown, the network adapter 960 communicates with other modules of the electronic device 900 over the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 900, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of task processing, comprising:

acquiring the transmission effective time of a task to be processed;

acquiring a data analysis result from a network data analysis functional entity, and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result;

determining a target time period according to the idle period of the network and/or the idle period of the terminal;

And sending a task processing instruction to a terminal, wherein the task processing instruction comprises the target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is used for establishing a Protocol Data Unit (PDU) session and is sent in the target time period through the PDU session.

2. The payment method of claim 1, wherein determining a target time period from the idle period of the network and the idle period of the terminal comprises:

acquiring the transmission time length of the task to be processed;

determining a coincidence period of an idle period of the network and an idle period of the terminal;

and determining a target time period according to the transmission time length of the task to be processed and the coincidence time period.

3. The task processing method according to claim 2, wherein determining a target period of time according to the transmission duration of the task to be processed and the coincidence period of time includes:

if the coincidence period is greater than or equal to the transmission duration of the task to be processed, determining the coincidence period as a target period;

and if the coincidence time period is smaller than the transmission time period of the task to be processed, determining the coincidence time period with the sum being larger than or equal to the transmission time period as a target time period.

4. The task processing method according to claim 2, wherein determining a target period of time according to the transmission duration of the task to be processed and the coincidence period of time includes:

and determining a coincidence time period which is greater than or equal to the transmission time length of the task to be processed as the target time period.

5. The task processing method according to claim 1, wherein determining a target period of time from an idle period of the network or an idle period of the terminal includes:

and determining a target time period according to the idle time period of the network and the transmission time length of the task to be processed, or determining the target time period according to the idle time period of the terminal and the transmission time length of the task to be processed.

6. A task processing method according to any one of claims 1 to 5, characterized in that the task processing method further comprises:

the method comprises the steps of obtaining parameter information of a task to be processed, which is transmitted by an application functional entity through a unified data management functional entity, in advance, wherein the parameter information comprises transmission effective time and transmission duration of the task to be processed;

and sending a subscription message to the unified data management functional entity to acquire the transmission effective time and the transmission duration of the task to be processed.

7. A task processing system, comprising:

the unified data management functional entity is used for sending the transmission effective time of the task to be processed to the session management functional entity;

a network data analysis functional entity for sending a data analysis result to the session management functional entity;

the session management functional entity is configured to obtain a transmission valid time of the task to be processed, obtain a data analysis result from the network data analysis functional entity, determine an idle period of a network and/or an idle period of a terminal in the transmission valid time according to the data analysis result, determine a target period according to the idle period of the network and/or the idle period of the terminal, and send a task processing instruction to the terminal, where the task processing instruction includes the target period so as to receive the task to be processed, and the task to be processed is a task that the terminal responds to the task processing instruction to establish a protocol data unit PDU session and sends in the target period through the PDU session;

the terminal is used for receiving the task processing instruction, responding to the task processing instruction, establishing a PDU session and sending the task to be processed in the target time period through the PDU session.

8. A task processing device, comprising:

the information acquisition module is used for acquiring the transmission effective time of the task to be processed;

the first determining module is used for acquiring a data analysis result from the network data analysis functional entity and determining an idle period of the network and/or an idle period of the terminal in the transmission effective time according to the data analysis result;

a second determining module, configured to determine a target time period according to an idle period of the network and/or an idle period of the terminal;

the instruction sending module is used for sending a task processing instruction to a terminal, wherein the task processing instruction comprises the target time period so as to receive a task to be processed, and the task to be processed is a task which is established by the terminal in response to the task processing instruction, is sent in the target time period through a protocol data unit PDU session.

9. A storage medium having stored thereon a computer program, which when executed by a processor implements the task processing method of any of claims 1 to 6.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

Wherein the processor is configured to perform the task processing method of any one of claims 1 to 6 via execution of the executable instructions.