CN113891340A - Adaptive flow control method, device, computing equipment and storage medium - Google Patents
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Abstract
The invention discloses a self-adaptive flow control method, a device, a computing device and a storage medium, wherein the method comprises the following steps: acquiring the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of the IWF network element; counting the number of first registration requests initiated by each AMF network element in the current period; and calculating the second registration request quantity corresponding to each AMF network element in the next period, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity. According to the invention, under the condition of no need of manual intervention, the IWF network element is used for periodically predicting and updating the number of the second registration requests in real time to realize the maximization of the processing capacity of each AMF network element in a signaling storm scene, so that the IWF network element is effectively protected, the service interruption in a large area is avoided, and the service influence is reduced to the greatest extent.
Description
Technical Field
The invention relates to the technical field of flow control, in particular to a self-adaptive flow control method, a self-adaptive flow control device, computing equipment and a storage medium.
Background
Currently, an interworking gateway device (IWF) is centrally used in a Core network of a 5G independent networking (SA) and is responsible for Authentication and Authentication when a 4G or non-independent Networking (NSA) user accesses from the SA network, 4G/5G subscription mapping, and interoperation with an Evolved Packet Core (EPC) network, and provides related functions of Unified Data Manager (UDM) and Authentication Server Function (AUSF) under the 5G Core network. However, under the networking scheme, how to protect the IWF network element and avoid the influence of services in provinces in a large area if a signaling storm occurs is a problem to be solved urgently. In the prior art, various core network elements also have a flow control mechanism for self-protection of network elements, but the self-protection starting mechanisms are all of a goat-killing robust type, that is, the flow control is implemented only when the network elements are impacted, part of messages are discarded without processing, and when the flow control is implemented, self-adaptive adjustment cannot be achieved for each direction, which inevitably affects normal service use of other provinces in the same large area.
Disclosure of Invention
In view of the above, the present invention has been developed to provide an adaptive fluidic method, apparatus, computing device and storage medium that overcome or at least partially address the above-identified problems.
According to an aspect of the present invention, there is provided an adaptive flow control method, performed by an IWF network element, comprising:
acquiring the quantity of historical registration requests of all AMF network elements in a large area and the equipment processing capacity data of the IWF network element;
counting the number of first registration requests initiated by each AMF network element in the current period;
and calculating a second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity of each AMF network element, the equipment processing capacity data and the first registration request quantity, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
According to another aspect of the present invention, there is provided an adaptive flow control apparatus, which is disposed in an IWF network element, and includes:
the data acquisition module is used for acquiring the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of the IWF network element;
the statistical module is used for counting the number of first registration requests initiated by each AMF network element in the current period;
a calculating module, configured to calculate, according to the historical registration request number of each AMF network element, the device processing capability data, and the first registration request number, a second registration request number corresponding to each AMF network element in a next period;
and the flow control module is used for respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the adaptive flow control method.
According to yet another aspect of the present invention, a computer storage medium is provided, in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the adaptive flow control method.
According to the adaptive flow control method, the adaptive flow control device, the computing equipment and the storage medium, the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of an IWF network element are obtained; counting the number of first registration requests initiated by each AMF network element in the current period; and calculating the second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity, the equipment processing capacity data and the first registration request quantity of each AMF network element, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity. Under the condition of no need of manual intervention, monitoring the quantity of first registration requests initiated by each AMF in a large area in the current period through an IWF network element, predicting the quantity of second registration requests corresponding to each AMF network element in the next period by combining equipment processing capacity data of the IWF network element and the quantity of historical registration requests of each AMF network element in the large area, and respectively issuing the quantity of the second registration requests to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the quantity of the second registration requests; the IWF network element performs periodic prediction and updates the number of the second registration requests in real time to maximize the processing capacity of each AMF network element in a signaling storm scene, thereby effectively protecting the IWF network element, avoiding service interruption in a large area and reducing service influence to the maximum extent.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flow chart of an adaptive flow control method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a process of calculating a second registration request number in the adaptive flow control method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an adaptive fluidic device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computing device provided in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of an embodiment of an adaptive flow control method according to the present invention, which is executed by an IWF network element, and as shown in fig. 1, the method includes the following steps:
step S110: and acquiring the historical registration request quantity of each AMF network element in the large area and the equipment processing capacity data of the IWF network element.
In this embodiment, the 5G wireless network architecture includes a 5G core network, and an Access and Mobility Management Function (AMF) network element is a main functional unit of the 5G core network, and completes Access and Mobility Management of an end user.
Specifically, the IWF network element counts and obtains the number of historical registration requests of each AMF network element in the large area, and obtains the device processing capability data of the own device.
Step S120: and counting the number of the first registration requests initiated by each AMF network element in the current period.
In this step, the IWF network element monitors and counts the number of first registration requests initiated by each AMF network element in the large area in the current period. For convenience of distinction, the number of registration requests initiated by each AMF network element in the current period is referred to as a first registration request number, the number of registration requests initiated by each AMF network element in the next period is referred to as a second registration request number, and the number of registration requests initiated by each AMF network element in the previous period is referred to as a third registration request number.
In an alternative, the period length may be 5min to 10 min. For example, if the length of the current period is 5min, the IWF network element counts the number of first registration request messages initiated by each AMF network element within the current period of 5 min.
Step S130: and calculating the second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity, the equipment processing capacity data and the first registration request quantity of each AMF network element.
In an alternative manner, fig. 2 shows a flowchart of a process for calculating a second registration request quantity of the adaptive flow control method provided in the embodiment of the present invention, and as shown in fig. 2, step S130 may further include the following steps S131 to S134:
step 131: and calculating the average number of the registration requests of each AMF network element and the resource ratio coefficient of each AMF network element according to the historical registration request number of each AMF network element.
In an optional manner, step 131 further includes: analyzing the number of historical registration requests, counting the average number of the registration requests of each AMF network element in a plurality of unit time lengths, and counting the number of third registration requests initiated by each AMF network element in the previous period; and calculating the resource ratio coefficient of each AMF network element according to the third registration request quantity of each AMF network element.
Specifically, the average number of registration requests of each AMF network element in a plurality of unit time lengths is counted according to the number of historical registration requests obtained in step S110, for example, the unit time length may be 1 day, and the number of registration requests in the first 7 days before the current time may be countedThe average number of registration requests for each AMF network element. Specifically, the number of registration request messages of each AMF network element in the previous 7 days with a period granularity (e.g., 5min) as a unit may be counted, for each AMF network element, the maximum value of the number of registration request messages of each AMF network element per day obtained by the period granularity statistics is taken, and then the average value of the maximum values of the previous 7 days is taken to obtain the average number R of registration request messages of the AMF network elementiaveWherein, i is the number of the corresponding AMF network element;
further, counting a third registration request number initiated by each AMF network element in a last period (e.g., with a periodic granularity of 5min), for example, each AMF network element includes AMF1, AMF2,. and AMFn (where n is the number of each AMF network element), counting the third registration request message numbers R1, R2,. and Rn of AMF1, AMF2,. and AMFn in the last 5min by the IWF network element, and accordingly calculating resource ratio coefficients of each AMF network element respectively, where the calculation formula is as follows (1):
Ki＝Ri/SUM(R1、R2、...、Rn)； (1)
wherein Ki is a resource ratio coefficient of each AMF network element, Ri is a third registration request message number of each AMF network element, and SUM is the SUM of R1, R2.
Step 132: a reference number of registration requests is determined.
In an optional manner, step 132 further comprises:
counting the sum of the average number of the registration requests of all AMF network elements to obtain the average total number of historical registration requests; counting the sum of the first registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the current period; and selecting the larger value of the average total number of the historical registration requests and the total number of the registration request processes in the current period as the reference number of the registration requests.
Generally speaking, the average number R of registration requests of each AMF network element is obtainediaveThereafter, the average number R of registration requests for each AMF network element may be averagediaveSumming to obtain the average total number R of the historical registration requestssum1The calculation formula is as follows (2):
Rsum1＝SUM(R1ave,R2ave,....,Rnave)； (2)
wherein R isnaveIndicating the average number of registration requests of the nth AMF network element.
Further, according to the counted number of the first registration requests initiated by each AMF network element in the current period in step S120, the sum R of the total number of the registration request processes initiated by all the AMF network elements in the current period is obtained by summing the number of the first registration requests initiated by all the AMF network elementssum2Further compare Rsum1And Rsum2Taking the larger value as the reference number R of the registration requestsumI.e. Rsum＝max(Rsum1,Rsum2)。
When the IWF network element handles a general amount of signaling traffic, i.e. Rsum2May be selected as the reference number of registration requests, but, in order to avoid the occurrence of signaling storm, R is selected as the reference number of registration requestssum2Is too large to cause impact on the IWF network element device, in an optional manner, step 132 further includes: and counting the sum of the third registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the previous period as the reference registration request quantity.
Specifically, according to the sum of the third registration request numbers of the AMF network elements counted in step 131, the total number of registration request processes of the IWF network element in the previous period is obtained as the reference number R of registration requestssum。
Step 133: and determining the total number of the registration requests which can be processed by the IWF network element in a single period according to the equipment processing capacity data, and taking the difference value between the total number of the registration requests and the reference number of the registration requests as the redundancy capacity number of the IWF network element.
Specifically, the IWF network element evaluates the software and hardware capacity of the IWF network element and converts the software and hardware capacity into the total number C of the registration requests which can be processed by the IWF network element in a single period by combining with the equipment processing capacity datatotalCalculating the redundancy capability quantity C of the IWF network elementidleThe formula is shown in the following formula (3))：
Cidle＝Ctotal-Rsum； (3)
Step 134: and calculating the second registration request quantity corresponding to each AMF network element in the next period by using the average registration request quantity of each AMF network element, the resource ratio coefficient of each AMF network element and the redundancy capacity quantity.
In particular, the average number R of registration requests is determined according to the respective AMF network elementsiaveResource ratio coefficient Ki and redundancy capability quantity C of each AMF network elementidleCalculating the second registration request quantity A corresponding to each AMF network elementiThe calculation formula is shown in the following formula (4):
Ai＝Riave+Ki*Cidle； (4)
step S140: and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
In an optional manner, step S140 further includes: and for each AMF network element, updating the flow control threshold according to the number of the second registration requests corresponding to the AMF network element, and controlling the flow according to the updated flow control threshold.
The IWF network element calculates the second registration request quantity AiRespectively issuing the registration requests to corresponding AMF network elements, and counting the number A of the AMF network elements in the large area according to the second registration requestiAnd updating the flow control threshold value and starting the flow control.
It should be noted that, in general, the number of registration requests initiated by each AMF network element in the current period should be smaller than the second number of registration requests calculated last time (i.e. the flow control threshold a)i) And when a signaling storm occurs, each AMF network element judges whether the number of the registration requests of the network element per se reaches a flow control threshold value, and if so, the overloaded registration requests are discarded. When the IWF network element calculates the number of second registration requests corresponding to each AMF network element in the next period, the IWF network element iteratively uses the number of first registration requests initiated by each AMF network element in the current period, so as to adjust the flow control threshold value in the next period, that is, the algorithm may accompany the number of registration requestsAnd increasing the flow control threshold value step by step in a self-adaptive manner, thereby effectively protecting the IWF network element and avoiding the influence on the normal service processing of other AMF network elements caused by the signaling storm of one AMF network element.
By adopting the method provided by the embodiment, under the condition of no need of manual intervention, the IWF network element monitors the number of first registration requests initiated by each AMF in the large area in the current period, and predicts the number of second registration requests corresponding to each AMF network element in the next period by combining the equipment processing capacity data of the IWF network element and the historical registration request number of each AMF network element in the large area, and respectively issues the number of the second registration requests to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the number of the second registration requests; the IWF network element performs periodic prediction and updates the number of the second registration requests in real time to realize maximization of the processing capacity of each AMF network element in a signaling storm scene, so that the IWF network element is effectively protected, service interruption in a large area is avoided, and service influence is reduced to the maximum extent; meanwhile, the flow control threshold value of each AMF network element is respectively calculated, differential flow control is realized, the IWF network elements can be effectively protected even if all the AMF network elements simultaneously generate signaling storms, and when a plurality of AMF network elements generate the signaling storms and other AMF network element services are normal, the method can adaptively and gradually increase the flow control threshold value of the AMF network element generating the signaling storms, reduce the flow control threshold values of other AMF network elements, effectively improve the resource use efficiency of the IWF network elements, and furthest reduce the influence of the signaling storms on user services on the basis of ensuring the network safety.
Fig. 3 is a schematic diagram illustrating the architecture of an embodiment of an adaptive fluidic device according to the present invention. As shown in fig. 3, the apparatus may be disposed in an IWF network element, and the apparatus includes: data acquisition module 310, statistics module 320, calculation module 330, and flow control module 340.
A data obtaining module 310, configured to obtain the number of historical registration requests of each AMF network element in the large area and the device processing capability data of the IWF network element.
A counting module 320, configured to count the number of the first registration requests initiated by each AMF network element in the current period.
The calculating module 330 is configured to calculate, according to the historical registration request number, the device processing capability data, and the first registration request number of each AMF network element, a second registration request number corresponding to each AMF network element in the next period.
In an optional manner, the calculation module 330 is further configured to: calculating the average number of the registration requests of each AMF network element and the resource ratio coefficient of each AMF network element according to the historical registration request number of each AMF network element; determining a reference number of registration requests; determining the total number of the registration requests which can be processed by the IWF network element in a single period according to the processing capacity data of the equipment, and taking the difference value between the total number of the registration requests and the reference number of the registration requests as the redundancy capacity number of the IWF network element; and calculating the second registration request quantity corresponding to each AMF network element in the next period by using the average registration request quantity of each AMF network element, the resource ratio coefficient of each AMF network element and the redundancy capacity quantity.
In an optional manner, the calculation module 330 is further configured to: analyzing the number of historical registration requests, counting the average number of the registration requests of each AMF network element in a plurality of unit time lengths, and counting the number of third registration requests initiated by each AMF network element in the previous period; and calculating the resource ratio coefficient of each AMF network element according to the third registration request quantity of each AMF network element.
In an optional manner, the calculation module 330 is further configured to: counting the sum of the average number of the registration requests of all AMF network elements to obtain the average total number of historical registration requests; counting the sum of the first registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the current period; and selecting the larger value of the average total number of the historical registration requests and the total number of the registration request processes in the current period as the reference number of the registration requests.
In an optional manner, the calculation module 330 is further configured to: and counting the sum of the third registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the previous period as the reference registration request quantity.
And the flow control module 340 is configured to issue the second registration request number to each corresponding AMF network element, so that each AMF network element deploys a flow control policy according to the second registration request number.
In an alternative manner, the flow control module 340 is further configured to: and for each AMF network element, updating the flow control threshold according to the number of the second registration requests corresponding to the AMF network element, and controlling the flow according to the updated flow control threshold.
In an alternative mode, the period length is 5min to 10 min.
By adopting the device provided by the embodiment, under the condition of no need of manual intervention, the IWF network element monitors the quantity of first registration requests initiated by each AMF in a large area in the current period, and predicts the quantity of second registration requests corresponding to each AMF network element in the next period by combining the equipment processing capacity data of the IWF network element and the historical registration request quantity of each AMF network element in the large area, and respectively issues the quantity of the second registration requests to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the quantity of the second registration requests; the IWF network element performs periodic prediction and updates the number of the second registration requests in real time to realize maximization of the processing capacity of each AMF network element in a signaling storm scene, so that the IWF network element is effectively protected, service interruption in a large area is avoided, and service influence is reduced to the maximum extent; meanwhile, the flow control threshold value of each AMF network element is respectively calculated, differential flow control is realized, the IWF network elements can be effectively protected even if signaling storms occur to all the AMF network elements simultaneously, and when the signaling storms occur to a plurality of AMF network elements and other AMF network element services are normal, the device can adaptively and gradually increase the flow control threshold value of the AMF network element with the signaling storm, reduce the flow control threshold values of other AMF network elements, effectively improve the resource use efficiency of the IWF network element, and furthest reduce the influence of the signaling storm on user services on the basis of ensuring the network safety.
The embodiment of the invention provides a nonvolatile computer storage medium, wherein at least one executable instruction is stored in the computer storage medium, and the computer executable instruction can execute the adaptive flow control method in any method embodiment.
The executable instructions may be specifically configured to cause the processor to:
acquiring the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of the IWF network element;
counting the number of first registration requests initiated by each AMF network element in the current period;
and calculating the second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity, the equipment processing capacity data and the first registration request quantity of each AMF network element, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
Fig. 4 is a schematic structural diagram of an embodiment of a computing device according to the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 4, the computing device may include:
a processor (processor), a Communications Interface (Communications Interface), a memory (memory), and a Communications bus.
Wherein: the processor, the communication interface, and the memory communicate with each other via a communication bus. A communication interface for communicating with network elements of other devices, such as clients or other servers. And the processor is used for executing a program, and specifically can execute relevant steps in the embodiment of the adaptive flow control method.
In particular, the program may include program code comprising computer operating instructions.
The processor may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The server comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program may specifically be adapted to cause a processor to perform the following operations:
acquiring the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of the IWF network element;
counting the number of first registration requests initiated by each AMF network element in the current period;
and calculating the second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity, the equipment processing capacity data and the first registration request quantity of each AMF network element, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. An adaptive flow control method, performed by an IWF network element, comprising:
acquiring the quantity of historical registration requests of all AMF network elements in a large area and the equipment processing capacity data of the IWF network element;
counting the number of first registration requests initiated by each AMF network element in the current period;
and calculating a second registration request quantity corresponding to each AMF network element in the next period according to the historical registration request quantity of each AMF network element, the equipment processing capacity data and the first registration request quantity, and respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
2. The method of claim 1, wherein the calculating, according to the historical registration request number of each AMF network element, the device processing capability data, and the first registration request number, a second registration request number corresponding to each AMF network element in a next period further comprises:
calculating the average number of the registration requests of each AMF network element and the resource ratio coefficient of each AMF network element according to the historical registration request number of each AMF network element;
determining a reference number of registration requests;
determining the total number of the registration requests which can be processed by the IWF network element in a single period according to the equipment processing capacity data, and taking the difference value between the total number of the registration requests and the reference number of the registration requests as the redundant capacity number of the IWF network element;
and calculating the second registration request quantity corresponding to each AMF network element in the next period by using the average registration request quantity of each AMF network element, the resource ratio coefficient of each AMF network element and the redundancy capacity quantity.
3. The method of claim 2, wherein the calculating the average number of registration requests of each AMF network element and the resource fraction coefficient of each AMF network element according to the historical number of registration requests of each AMF network element further comprises:
analyzing the number of the historical registration requests, counting the average number of the registration requests of each AMF network element in a plurality of unit time lengths, and counting the number of third registration requests initiated by each AMF network element in the previous period;
and calculating the resource ratio coefficient of each AMF network element according to the third registration request quantity of each AMF network element.
4. The method of claim 2, wherein the determining the reference number of registration requests further comprises:
counting the sum of the average number of the registration requests of each AMF network element to obtain the average total number of historical registration requests;
counting the sum of the first registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the current period;
and selecting the larger value of the average total number of the historical registration requests and the total number of the registration request processes in the current period as the reference number of the registration requests.
5. The method of claim 2, wherein the determining the reference number of registration requests further comprises:
and counting the sum of the third registration request quantity of each AMF network element to obtain the total registration request processing quantity of the IWF network element in the previous period as the reference registration request quantity.
6. The method of claim 1, wherein deploying, by each AMF network element, a flow control policy according to the second number of registration requests further comprises:
and for each AMF network element, updating a flow control threshold value according to the number of the second registration requests corresponding to the AMF network element, and controlling the flow according to the updated flow control threshold value.
7. The method according to any one of claims 1 to 6, wherein the period length is from 5min to 10 min.
8. An adaptive flow control apparatus, provided in an IWF network element, comprising:
the data acquisition module is used for acquiring the historical registration request quantity of each AMF network element in a large area and the equipment processing capacity data of the IWF network element;
the statistical module is used for counting the number of first registration requests initiated by each AMF network element in the current period;
a calculating module, configured to calculate, according to the historical registration request number of each AMF network element, the device processing capability data, and the first registration request number, a second registration request number corresponding to each AMF network element in a next period;
and the flow control module is used for respectively issuing the second registration request quantity to each corresponding AMF network element so that each AMF network element deploys a flow control strategy according to the second registration request quantity.
9. A computing device, comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to an adaptive flow control method according to any one of claims 1-7.
10. A computer storage medium having stored thereon at least one executable instruction that causes a processor to perform operations corresponding to an adaptive flow control method according to any one of claims 1-7.
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