CN112512031B - Data acquisition method applied to 5G network and 5G network - Google Patents
Data acquisition method applied to 5G network and 5G network Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses a data acquisition method applied to a 5G network and the 5G network, wherein the data acquisition method comprises the steps that a data sending network element generates a data document from data needing to be submitted to a network data analysis function network element, the data document is stored in the local, the network data analysis function network element sends a subscription message to the data sending network element, and the data sending network element sends the locally stored data document to the network data analysis function network element according to the subscription message when determining that the load of the local and an event formed by the subscription message meet a trigger condition. On one hand, the invention can avoid the negative influence of overload caused by the superposition of the network load generated by data acquisition and the network load of the 5G network, and on the other hand, the invention can avoid the influence of the network load of the 5G network on the data acquisition, thereby improving the communication efficiency. The invention is widely applied to the technical field of mobile communication.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a data acquisition method applied to a 5G network and the 5G network.
Background
In the 5G core Network, a Network Data analysis Function Network element (NWDAF) collects Data from Network elements such as a Network Function Network element (NF), an Application Function Network element (AF), and an Operation, Administration and Maintenance (OAM). In the prior art, a network data analysis function network element sends a subscription message to a network function network element, an application function network element or an operation management maintenance network element according to a 3GPP TS 23288-g50 protocol and a 3GPP TS 29520-h00 protocol, and the network function network element, the application function network element or the operation management maintenance network element sends data to the network data analysis function network element after receiving the subscription message, so that the network elements and the line load therebetween occupy more resources, and the communication efficiency is reduced.
Disclosure of Invention
In view of at least one of the above technical problems, an object of the present invention is to provide a data acquisition method applied to a 5G network and a 5G network.
In one aspect, an embodiment of the present invention includes a data acquisition method applied to a 5G network, including:
the data sending network element generates a data document from the data needing to be submitted to the network data analysis function network element, and stores the data document locally; the data sending network element comprises at least one of a network function network element, an application function network element and an operation management maintenance network element;
the network data analysis function network element sends a subscription message to the data sending network element;
and when determining that the event formed by the load of the network and the subscription message meets the trigger condition, the data sending network element sends the locally stored data document to the network data analysis function network element according to the subscription message.
Further, the subscription message comprises a maximum sending time interval and a minimum sending time interval; the event formed by the native load and the subscription message satisfies a trigger condition, and the trigger condition comprises the following steps:
the last time of the current time distance for sending data to the network data analysis function network element reaches the maximum sending time interval;
or
The load of the local machine is less than a threshold level, and the time of last data transmission to the network data analysis function network element from the current time reaches the minimum transmission time interval.
Further, the data acquisition method further comprises:
the same synchronous sending time is determined among the data sending network elements; in the synchronous sending time, the statistic value of the respective load of the data sending network elements is lower than a preset threshold value; the synchronous sending time distance reaches the minimum sending time interval when the last time data is sent to the network data analysis function network element; and the synchronous sending time is the time when all the data sending network elements synchronously send the data document to the network data analysis function network element.
Further, the subscription message further comprises a document name, a document storage format, a document sending address and a document sending protocol; the sending the locally stored data document to the network data analysis function network element according to the subscription message includes:
determining the name of the locally stored data document as the document name, or modifying the name of the locally stored data document into the document name;
determining the storage format of the locally stored data document as the document storage format, or modifying the storage format of the locally stored data document into the document storage format;
and sending the data document to the document sending address by using the document sending protocol.
Further, the subscription message further comprises a document encryption algorithm and a document key; the sending the locally stored data document to the network data analysis function network element according to the subscription message further includes:
and encrypting the data document by using the document encryption algorithm according to the document key.
Further, the data acquisition method further comprises:
and the network data analysis function network element decrypts the received data document according to the document key.
Further, the subscription message further comprises a document compression algorithm; the sending the locally stored data document to the network data analysis function network element according to the subscription message further includes:
compressing the data document using the document compression algorithm.
Further, the data acquisition method further comprises:
and the network data analysis functional network element decompresses the received data document.
Further, the data acquisition method further comprises:
after receiving the data document, the network data analysis function network element returns a confirmation message to the data sending network element which sends the data document;
and the data sending network element deletes the locally stored data document according to the received confirmation message.
On the other hand, the embodiment of the present invention further includes a 5G network, which includes a network data analysis functional network element and a data sending network element, where the network data analysis functional network element is connected to the data sending network element, and the data sending network element includes at least one of a network functional network element, an application functional network element, and an operation management maintenance network element;
the data sending network element is used for generating a data document from the data needing to be submitted to the network data analysis function network element and storing the data document locally;
the network data analysis function network element is used for sending a subscription message to the data sending network element;
and the data sending network element is used for sending the locally stored data document to the network data analysis function network element according to the subscription message when determining that the event formed by the load of the local network and the subscription message meets the trigger condition.
The invention has the beneficial effects that: through message receiving and sending, data caching and opportunistic sending between the data sending network element and the network data analysis function network element, data sending from the data sending network element to the network data analysis function network element can be realized when the data sending network element and the network data analysis function network element have a better working state or a network state, namely, data acquisition from the network data analysis function network element to the data sending network element, on one hand, the negative influence of overload caused by superposition of network load generated by data acquisition and network load of the 5G network can be avoided, on the other hand, the influence of the network load of the 5G network on data acquisition can also be avoided, and therefore, the communication efficiency is improved.
Drawings
FIG. 1 is a schematic structural diagram of a 5G network in an embodiment;
fig. 2 is a flowchart of a data acquisition method applied to a 5G network in the embodiment.
Detailed Description
In this embodiment, a data acquisition method is described based on the 5G network shown in fig. 1. Fig. 1 includes a network data analysis function unit, a network function unit in a 5G core network, an application function network element and an operation management maintenance network element outside the 5G core network. In other embodiments, only two or one of the network function unit, the application function network element and the operation management and maintenance network element may be included. In this embodiment, the network function unit, the application function network element, and the operation management and maintenance network element are collectively referred to as a data transmission network element, and in other implementation cases, for example, in the case of including only the network function unit and the application function network element, in the case of including only the application function network element and the operation management and maintenance network element, in the case of including only the network function unit, the network function unit and the application function network element are collectively referred to as a data transmission network element, in the case of including only the application function network element and the operation management and maintenance network element, and in the case of including only the network function unit, the network function unit and the application function network element are collectively referred to as a data transmission network element, and in the case of including only the application function network element and the operation management and maintenance network element, respectively, the network function unit is referred to as a data transmission network element. The network data analysis function unit collects data from one or more data transmission network elements.
In this embodiment, referring to fig. 2, the data acquisition method applied to the 5G network includes the following steps:
s1, a data sending network element generates a data document from data needing to be submitted to a network data analysis function network element, and the data document is stored locally;
s2, the network data analysis function network element sends a subscription message to the data sending network element;
and S3, when the data sending network element determines that the event formed by the load of the local machine and the subscription message meets the trigger condition, sending the locally stored data document to the network data analysis function network element according to the subscription message.
In step S1, when the data sending network element generates or acquires data that needs to be submitted to the network data analysis function network element, the data is not directly sent to the network data analysis function network element after the data is generated or acquired, but a data document with a certain format is generated from the data, and the data document is stored locally. For example, if a network function unit generates or acquires data to be submitted to a network element with a network data analysis function, the network function unit generates the data into a data document with a certain format, and stores the data document locally in the network function unit.
In step S2, the network element with network data analysis function may set a schedule, and periodically send a subscription message to each data sending network element. The contents of the subscription messages sent by the network data analysis function network element to the data sending network elements may be the same or different.
In this embodiment, the content of one subscription message includes a maximum sending time interval and a minimum sending time interval, where the maximum sending time interval is used to indicate a data sending network element: the time interval of uploading data to the network data analysis function network element continuously in two times before and after cannot be larger than the maximum sending time interval; the minimum transmission time interval is used to indicate to the data transmitting network element: the time interval of uploading data to the network data analysis function network element continuously in two times before and after cannot be smaller than the minimum sending time interval.
Taking the example that one of the data sending network elements receives the subscription information sent by the network data analysis function network element, step S3 will be described. In step S3, the subscription message received by the data sending network element is used as an event a, the current network load detected by the data sending network element is used as an event B, the event a AND the event B may form an event C through boolean operations such as AND OR, OR the event a OR the event B is used as the event C, the event C is compared with a preset trigger condition, AND if the event C satisfies the trigger condition, the data sending network element sends the locally stored data document to the network data analysis function network element according to the subscription message.
In this embodiment, when the content of the subscription message includes a maximum sending time interval and a minimum sending time interval, and the data sending network element detects a local network load, an event formed by the local load and the subscription message satisfies a trigger condition, which may be specifically the following case:
(1) the current time is the time from the last time that the data sending network element sends data to the network data analysis function network element, and the maximum sending time interval is reached;
(2) the load of the local machine of the data sending network element is less than the threshold level, and the distance between the current time and the time when the data sending network element sends data to the network data analysis function network element last time reaches the minimum sending time interval.
When the condition (1) or the condition (2) occurs, the data sending network element needs to send the data document stored locally by the data sending network element to the network data analysis function network element. In the case (2), the threshold level may be set to 80% of the local maximum network load, that is, the case (2) is specifically: the load of the local data sending network element is less than 80% of the maximum network load, and the current time is the time from the last time when the data sending network element sends data to the network data analysis function network element, and the minimum sending time interval is reached.
In this embodiment, when the data sending network element generates or acquires data to be submitted to the network data analysis function network element, the data is not directly sent to the network data analysis function network element, but the data is generated into a data document and then temporarily stored locally, and after an event formed by a network load of the local data sending network element and a subscription message sent by the network data analysis function network element is detected to meet a trigger condition, the data sending network element sends the data document stored locally to the network data analysis function network element. The principle of the data acquisition method in this embodiment is that through message transceiving, data caching and selective sending between the data sending network element and the network data analysis functional network element, data transmission from the data sending network element to the network data analysis functional network element can be achieved when the data sending network element and the network data analysis functional network element have a better working state or a network state, that is, data acquisition from the data sending network element to the network data analysis functional network element is performed, and on the one hand, negative overload caused by superposition of network load generated by data acquisition and network load of the 5G network can be avoided On the other hand, the influence of the network load of the 5G network on data acquisition can be avoided, and therefore the communication efficiency is improved.
In this embodiment, the data acquisition method further includes:
and S4, determining the same synchronous sending time among the data sending network elements.
Step S4 may be performed by the data sending network element before sending the data document to the network data analysis function network element, by each data sending network element that needs to send the data document to the network data analysis function network element. The data sending network elements communicate through handshaking and the like to determine a synchronous sending time. In step S4, after the synchronous sending time is determined among the data sending network elements, one of the data sending network elements may first send the synchronous sending time to the network data analysis function network element.
When a plurality of data sending network elements need to send data documents to the network data analysis function network element, the data sending network elements uniformly send the data documents to the network data analysis function network element synchronously at the synchronous sending time, and the network data analysis function network element only needs to receive the data at the synchronous sending time and in the corresponding time window, so that unnecessary occupation of network data analysis function network element functions and network resources caused by the asynchronous sending of the data documents by the plurality of data sending network elements is reduced, and the network communication efficiency is further improved.
In this embodiment, each data sending network element may determine the synchronous sending time according to the following conditions: (1) for any data sending network element, the synchronous sending time is the time from the last time of sending data to the network data analysis function network element, and the minimum sending time interval is reached; (2) and in the synchronous sending time, the statistic value of the respective network load of the data sending network elements is the lowest. The condition (1) is such that the setting of the synchronous transmission time does not break the limit of the minimum transmission time interval in the subscription message. In the condition (2), the statistical value of the network load may refer to a sum of respective network loads of all data sending network elements that need to send data documents, or a sum of fluctuation rates of the network loads, and when the statistical values are lower than a preset threshold, the total load of the 5G network is at a lower level, that is, the 5G network is in a relatively idle state, and at this time, data collection is performed, so that unnecessary occupation of network resources can be further reduced, and network communication efficiency is further improved.
In this embodiment, the subscription message further includes contents such as a document name, a document storage format, a document sending address, and a document sending protocol. In step S3, that is, in the step of sending the locally stored data document to the network data analysis function network element according to the subscription message, the data sending network element specifically executes the following steps:
s301, determining the name of the locally stored data document as a document name, or modifying the name of the locally stored data document into a document name;
s302, determining that the storage format of the locally stored data document is a document storage format, or modifying the storage format of the locally stored data document into the document storage format;
and S303, sending the data document to a document sending address by using a document sending protocol.
Step S301 is that the data sending network element confirms or modifies the name of the data document according to the document name in the subscription message. Step S302 is that the data sending network element confirms or modifies the storage format of the data document according to the document storage format in the subscription message, and specifically, a json or xml document storage format may be used. Step S303 is that the data sending network element sends the locally stored data document to the network data analysis function network element according to the document sending protocol in the subscription message, and specifically, a document sending protocol such as FTP may be used.
In this embodiment, the subscription message further includes a document encryption algorithm and a document key. In step S3, that is, in the step of sending the locally stored data document to the network data analysis function network element according to the subscription message, the data sending network element specifically further performs the following steps:
s304, encrypting the data document by using a document encryption algorithm according to the document key.
After receiving the encrypted data document, the network element of the network data analysis function further executes the following steps:
s305, the network data analysis function network element decrypts the received data document according to the document key.
By encrypting and decrypting the data document, the security of the data acquisition process can be improved.
In this embodiment, the subscription message further includes a document compression algorithm, and specifically, the document compression algorithm may be an LZ77 algorithm or a Huffman algorithm. In step S3, that is, in the step of sending the locally stored data document to the network data analysis function network element according to the subscription message, the data sending network element specifically further performs the following steps:
s306, compressing the data document by using a document compression algorithm.
After receiving the compressed data document, the network element of the network data analysis function further executes the following steps:
and S307, decompressing the received data document by the network data analysis function network element.
By compressing and decompressing the data document, the occupation of network resources in the data acquisition process can be improved, and the network communication efficiency is further improved.
In this embodiment, the format of the subscription message may be a json field as shown below:
in this embodiment, the data acquisition method further includes:
s5, after receiving the data document, the network element with the network data analysis function returns a confirmation message to the data sending network element which sends the data document;
and S6, deleting the locally stored data document by the data sending network element according to the received confirmation message.
By executing the steps S5 and S6, the local storage space of the data sending network element can be released after the data collection is completed, so as to store the data document sent to the network element with the network data analysis function next time, thereby improving the utilization rate of network resources.
In this embodiment, a 5G network includes a network data analysis function network element and a data sending network element, where the network data analysis function network element is connected to the data sending network element, and the data sending network element includes at least one of a network function network element, an application function network element, and an operation, management, and maintenance network element. The network data analysis function network element and the data sending network element may execute the data acquisition method in this embodiment, and specifically include:
the data sending network element is used for generating a data document from the data needing to be submitted to the network data analysis function network element and storing the data document locally;
the network data analysis function network element is used for sending a subscription message to the data sending network element;
and the data sending network element is used for sending the locally stored data document to the network data analysis function network element according to the subscription message when determining that the event formed by the load of the local machine and the subscription message meets the trigger condition.
The network data analysis function network element and the data sending network element can realize the same technical effects as the data acquisition method by executing the data acquisition method in the embodiment: through message receiving and sending, data caching and opportunistic sending between the data sending network element and the network data analysis function network element, data sending from the data sending network element to the network data analysis function network element can be realized when the data sending network element and the network data analysis function network element have a better working state or a network state, namely, data acquisition from the network data analysis function network element to the data sending network element, on one hand, the negative influence of overload caused by superposition of network load generated by data acquisition and network load of the 5G network can be avoided, on the other hand, the influence of the network load of the 5G network on data acquisition can also be avoided, and therefore, the communication efficiency is improved.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided with this embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (8)
1. A data acquisition method applied to a 5G network is characterized by comprising the following steps:
the data sending network element generates a data document from the data needing to be submitted to the network data analysis function network element, and stores the data document locally; the data sending network element comprises at least one of a network function network element, an application function network element and an operation management maintenance network element;
the network data analysis function network element sends a subscription message to the data sending network element;
when determining that an event formed by the load of the data sending network element and the subscription message meets a trigger condition, the data sending network element sends the locally stored data document to the network data analysis function network element according to the subscription message;
the subscription message comprises a maximum sending time interval and a minimum sending time interval; the event formed by the native load and the subscription message satisfies a trigger condition, and the trigger condition comprises the following steps:
the last time of the current time distance for sending data to the network data analysis function network element reaches the maximum sending time interval;
or
The load of the local machine is less than a threshold level, and the time of last data transmission to the network data analysis function network element from the current time reaches the minimum transmission time interval;
the same synchronous sending time is determined among the data sending network elements; in the synchronous sending time, the statistic value of the respective load of the data sending network elements is lower than a preset threshold value; the synchronous sending time distance reaches the minimum sending time interval when the last time data is sent to the network data analysis function network element; the synchronous sending time is the time when all the data sending network elements synchronously send the data documents to the network data analysis function network element;
and the network data analysis function network element receives the data document only in the synchronous sending time and the time window corresponding to the synchronous sending time.
2. The data collection method of claim 1, wherein the subscription message further comprises a document name, a document storage format, a document sending address, and a document sending protocol; the sending the locally stored data document to the network data analysis function network element according to the subscription message includes:
determining the name of the locally stored data document as the document name, or modifying the name of the locally stored data document into the document name;
determining the storage format of the locally stored data document as the document storage format, or modifying the storage format of the locally stored data document into the document storage format;
and sending the data document to the document sending address by using the document sending protocol.
3. The data collection method of claim 2, wherein the subscription message further comprises a document encryption algorithm and a document key; the sending the locally stored data document to the network data analysis function network element according to the subscription message further includes:
and encrypting the data document by using the document encryption algorithm according to the document key.
4. The data acquisition method of claim 3, further comprising:
and the network data analysis function network element decrypts the received data document according to the document key.
5. The data collection method of any one of claims 2-4, wherein the subscription message further comprises a document compression algorithm; the sending the locally stored data document to the network data analysis function network element according to the subscription message further includes:
compressing the data document using the document compression algorithm.
6. The data acquisition method of claim 5, further comprising:
and the network data analysis functional network element decompresses the received data document.
7. The data acquisition method according to any one of claims 1 to 4, further comprising:
after receiving the data document, the network data analysis function network element returns a confirmation message to the data sending network element which sends the data document;
and the data sending network element deletes the locally stored data document according to the received confirmation message.
8. A5G network is characterized by comprising a network data analysis function network element and a data sending network element, wherein the network data analysis function network element is connected with the data sending network element, and the data sending network element comprises at least one of a network function network element, an application function network element and an operation, management and maintenance network element;
the data sending network element is used for generating a data document from the data needing to be submitted to the network data analysis function network element and storing the data document locally;
the network data analysis function network element is used for sending a subscription message to the data sending network element;
the data sending network element is used for sending the locally stored data document to the network data analysis function network element according to the subscription message when determining that the event formed by the load of the local machine and the subscription message meets the trigger condition;
the subscription message comprises a maximum sending time interval and a minimum sending time interval; the event formed by the native load and the subscription message satisfies a trigger condition, and the trigger condition comprises the following steps:
the last time of the current time distance for sending data to the network data analysis function network element reaches the maximum sending time interval;
or
The load of the local machine is less than a threshold level, and the time of last data transmission to the network data analysis function network element from the current time reaches the minimum transmission time interval;
the same synchronous sending time is determined among the data sending network elements; in the synchronous sending time, the statistic value of the respective load of the data sending network elements is lower than a preset threshold value; the synchronous sending time distance reaches the minimum sending time interval when the last time data is sent to the network data analysis function network element; the synchronous sending time is the time when all the data sending network elements synchronously send the data documents to the network data analysis function network element;
and the network data analysis function network element receives the data document only in the synchronous sending time and the time window corresponding to the synchronous sending time.
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