CN116261225A - A capacity adjustment method, device and storage medium - Google Patents

Abstract

The present application discloses a capacity adjustment method, device and storage medium, which relate to the field of communication technology and are used to solve the problem that common methods cannot reasonably adjust the capacity of UPF. The method includes: obtaining the business quantity of multiple services to be processed by the UPF at the current moment, and then determining the target number of data processing units according to the business quantity, and instructing to deploy the target number of data processing units on the UPF. Wherein, the target quantity is greater than or equal to the business quantity. This application can realize the dynamic adjustment of UPF capacity.

Description

A capacity adjustment method, device and storage medium

technical field

The present application relates to the technical field of communications, and in particular to a capacity adjustment method, device and storage medium.

Background technique

In the system architecture of the 5th generation mobile communication technology (5G), the user plane function (UPF) is responsible for offloading the data traffic of end users in the private network, as well as quality of service (QoS). of service) control and other services. If the capacity of the UPF can be adjusted according to the number of services in the private network, it can effectively improve resource utilization and avoid idle resources while meeting service requirements.

At present, the general UPF capacity adjustment method needs to stop the service, redeploy the processing unit, and even replace the device hardware, which affects the user experience and complicated operation, and is not suitable for dynamic capacity adjustment.

Contents of the invention

The present application provides a capacity adjustment method, device and storage medium, which are used to solve the problem that the common method cannot reasonably adjust the capacity of the UPF.

In order to achieve the above object, the application adopts the following technical solutions:

In the first aspect, a capacity adjustment method is provided, including: obtaining the business quantity of multiple services to be processed by the UPF at the current moment, and then determining the target number of data processing units according to the business quantity, and instructing deployment on the UPF Target number of data processing units. Wherein, the target quantity is greater than or equal to the business quantity.

Optionally, the method for determining the target number of data processing units according to the number of businesses includes: according to the number of businesses, determining the number of multiple active data processing units corresponding to multiple businesses one-to-one, and the number of at least one standby data processing unit Quantity: determine the sum of the quantity of multiple active data processing units and the quantity of at least one standby data processing unit as the target quantity.

Optionally, the capacity adjustment method further includes: instructing a primary data processing unit corresponding to the first service to process service data of the first service; the first service is any one of multiple services.

Optionally, the capacity adjustment method further includes: when the main data processing unit fails to process, instruct any one of the at least one standby data processing unit to process the business data of the first service; when the main data processing unit recovers After that, instruct the master data processing unit to process the service data of the first service.

Optionally, the capacity adjustment method further includes: when the target number is less than the current number, determining at least one data processing unit to be shut down; the current number is the number of multiple data processing units running on the UPF at the current moment; indicating at least one Any one of the standby data processing units processes the service data of the second service; the second service is the service processed by at least one data processing unit at the current moment; and instructs the UPF to stop deploying the at least one data processing unit.

In a second aspect, a capacity adjustment device is provided, including: an acquisition unit and a processing unit; the acquisition unit is used to acquire the number of services of multiple services to be processed by the UPF at the current moment; the processing unit is used to determine according to the number of services The target quantity of data processing units; the target quantity is greater than or equal to the business quantity; and the processing unit is also used to indicate the deployment of the target quantity of data processing units on the UPF.

Optionally, the processing unit is specifically used to: determine the number of multiple primary data processing units corresponding to multiple services one-to-one, and the number of at least one standby data processing unit according to the number of services; process multiple primary data The sum of the number of units and the number of at least one spare data processing unit is determined as the target number.

Optionally, the processing unit is further configured to: instruct a primary data processing unit corresponding to the first service to process service data of the first service; the first service is any one of multiple services.

Optionally, the processing unit is also used to: when the main data processing unit fails to process, instruct any one of the at least one standby data processing unit to process the business data of the first service; when the main data processing unit recovers After that, instruct the master data processing unit to process the service data of the first service.

Optionally, the processing unit is also used to: when the target number is less than the current number, determine at least one data processing unit to be closed; the current number is the number of multiple data processing units running on the UPF at the current moment; indicate at least one Any one of the standby data processing units processes the service data of the second service; the second service is the service processed by at least one data processing unit at the current moment; and instructs the UPF to stop deploying the at least one data processing unit.

In a third aspect, a capacity adjustment device is provided, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor and the memory are connected through a bus; when the capacity adjustment device is running, the processor executes the computer-executable instructions stored in the memory, so that the capacity adjustment device executes the capacity adjustment method described in the first aspect.

The capacity adjustment device may be a network device, or a part of the network device, for example, a chip system in the network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any possible implementation thereof, for example, acquire, determine, and send the data and/or information involved in the capacity adjustment method above. The chip system includes a chip, and may also include other discrete devices or circuit structures.

A fourth aspect provides a computer-readable storage medium, the computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are run on a computer, the computer is made to execute the capacity adjustment method described in the first aspect.

A fifth aspect further provides a computer program product, the computer program product includes computer instructions, and when the computer instructions run on the capacity adjustment device, the capacity adjustment device executes the capacity adjustment method as described in the first aspect above.

It should be noted that all or part of the above computer instructions may be stored on the first computer-readable storage medium. Wherein, the first computer-readable storage medium may be packaged together with the processor of the capacity adjustment device, or may be separately packaged with the processor of the capacity adjustment device, which is not limited in the present application.

For the description of the second aspect, the third aspect, the fourth aspect and the fifth aspect in this application, you can refer to the detailed description of the first aspect; and, the beneficial effects of the second aspect, the third aspect, the fourth aspect and the fifth aspect , you can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

In the present application, the names of the above-mentioned capacity adjustment devices do not limit the devices or functional modules themselves, and in actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalent technologies.

These or other aspects of the present application will be more clearly understood in the following description.

The technical solution provided by the application brings at least the following beneficial effects:

Based on any of the above aspects, the present application provides a capacity adjustment method. After obtaining the business quantities of multiple services to be processed by the UPF at the current moment, the target number of data processing units can be determined according to the business quantities. Then, a target number of data processing units may be instructed to be deployed on the UPF. Since the target quantity in this application is greater than or equal to the service quantity, dynamic adjustment of the capacity of the UPF can be realized. At the same time, when deploying a target number of data processing units on the UPF, there is no need to shut down ongoing services, and the target number of data processing units can continue processing without affecting user use.

Description of drawings

FIG. 1 is a schematic structural diagram of a capacity adjustment system provided in an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a UPF provided in an embodiment of the present application;

FIG. 3 is a first schematic diagram of a hardware structure of a capacity adjustment device provided by an embodiment of the present application;

FIG. 4 is a second schematic diagram of the hardware structure of a capacity adjustment device provided by an embodiment of the present application;

FIG. 5 is a first schematic flow diagram of a capacity adjustment method provided by an embodiment of the present application;

FIG. 6 is a schematic flow diagram II of a capacity adjustment method provided in an embodiment of the present application;

FIG. 7 is a schematic flow diagram III of a capacity adjustment method provided in an embodiment of the present application;

FIG. 8 is a schematic diagram 1 of processing business data in a UPF provided by an embodiment of the present application;

FIG. 9 is a schematic diagram 2 of processing service data in a UPF provided by an embodiment of the present application;

FIG. 10 is a schematic flow diagram IV of a capacity adjustment method provided in the embodiment of the present application;

FIG. 11 is a schematic diagram 2 of processing business data in a UPF provided by an embodiment of the present application;

FIG. 12 is a third schematic diagram of processing business data in a UPF provided by an embodiment of the present application;

Fig. 13 is a schematic flow diagram five of a capacity adjustment method provided in the embodiment of the present application;

FIG. 14 is a schematic structural diagram of a capacity adjustment device provided by an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used as examples, illustrations or descriptions. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application shall not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with basically the same functions and functions. Personnel can understand that words such as "first" and "second" are not limiting the quantity and execution order.

As shown in the background technology, the general user plane function (UPF) capacity adjustment method needs to stop the service, redeploy the processing unit, and even need to replace the device hardware, which affects the user experience and complicated operation, and is not suitable for dynamic Adjust capacity.

The embodiment of the present application provides a capacity adjustment method. After obtaining the business quantities of multiple services to be processed by the UPF at the current moment, the target quantity of data processing units can be determined according to the service quantities. Then, a target number of data processing units may be instructed to be deployed on the UPF. Since the target quantity in this application is greater than or equal to the service quantity, dynamic adjustment of the capacity of the UPF can be realized. At the same time, when deploying a target number of data processing units on the UPF, there is no need to shut down ongoing services, and the target number of data processing units can continue processing without affecting user use.

The capacity adjustment method is applicable to the capacity adjustment system. Fig. 1 shows a schematic structural diagram of a capacity adjustment system. As shown in FIG. 1 , the capacity adjustment system includes: UPF1 , terminal equipment 2 and network terminal equipment 3 .

Wherein, a target number of data processing units (TM) 4 are deployed in UPF1. The target number is greater than or equal to the number of services to be processed by UPF1.

Optionally, each data processing unit 4 may occupy a non-uniform memory access processor (non uniform memory access, NUMA), so as to realize simultaneous access by multiple processors. At least one network card can be plugged into the NUMA, and the corresponding data processing unit 4 can have at least one service port.

Among the target number of data processing units 4, each data processing unit 4 is connected to the terminal device 2 through a first port.

Optionally, the terminal device 2 may be any electronic product that can interact with the user in one or more ways such as a keyboard, a touchpad, a touch screen, a remote control, voice interaction or a handwriting device, such as a mobile phone, a tablet Computers, PDAs, personal computers (PCs), wearable devices, smart TVs, etc.

Each data processing unit 4 is connected to the network end device 3 through a second port.

Optionally, the network end device 3 may be an entity physical device, such as a server in a server cluster (composed of multiple servers), or a chip in the physical device, or a system-on-a-chip in the physical device , cloud deployment can also be implemented through a virtual machine (virtual machine, VM) deployed on a physical device.

Specifically, after the UPF1 acquires the service quantities of the multiple services to be processed by the UPF1 at the current moment, it may determine the target quantity of the data processing unit 4 according to the service quantities. Then, it may be instructed to deploy a target number of data processing units 4 on UPF1. Since the target quantity in this application is greater than or equal to the service quantity, dynamic adjustment of the capacity of UPF1 can be realized. At the same time, when a target number of data processing units 4 are deployed on the UPF, there is no need to shut down ongoing services, and the target number of data processing units 4 can continue processing without affecting user use.

Optionally, in combination with FIG. 1, as shown in FIG. 2, UPF1 can be deployed with multiple ports on the access switch (top of rack, TOR) 5, including N3 ports, N6 ports, N9 ports, N19 ports, N4/ N4u port.

Each data processing unit 4 and TOR5 can be connected through at least one bonding port.

Figure 2 takes "a network card with a 4×10 switching bandwidth (Gbps) is inserted into each NUMA, and each data processing unit 4 has 4 bonding ports" as an example for illustration. At this time, the processing of a single data processing unit 4 The performance reaches bidirectional 50Gbps, and it is more reasonable to allocate four 10Gbps bonding ports for each data processing unit 4.

Optionally, the target number of data processing units 4 may include: a plurality of primary data processing units with one-to-one correspondence between multiple services, and at least one standby data processing unit. For ease of understanding, Fig. 2 uses "three main data processing units and one standby data processing unit, including: main data processing unit 41, main data processing unit 42, main data processing unit 43, standby data processing unit 44 " as an example.

Optionally, UPF1 can also be deployed on a bare metal container: signaling load balancer (loadbalance, LB) 6, signaling processing unit (CM) 7, management plane (operation and maintenance) submodule 8, and a management switch 9 .

Optionally, as shown in Figure 2, among the above internal modules, the first bare metal container can be deployed with a primary data processing unit 41 and a primary data processing unit 42, and the second bare metal container can be deployed with a primary Using the data processing unit 43 and the spare data processing unit 44, the signaling LB6, the signaling processing unit 7 and the management plane sub-module 8 can be deployed on the third bare metal container.

Among them, the management face sub-module 8 is used to configure routing.

The management switch 9 is used to manage the working states and working modes of all switching ports globally, and can connect each bare metal container. Specifically, the management switch can be connected to other modules through an internal management data link, and can also be connected to the management plane sub-module through a network management data link.

Optionally, the signaling LB6 is configured to distribute the signaling data received by the UPF1 through the N4/N4u port to the signaling processing unit 7 for processing. When the traffic of signaling data is small, only one signaling LB6 can be deployed, and when the traffic of signaling data is large, multiple signaling LB6s can also be deployed to distribute signaling data at the same time. Exemplarily, FIG. 2 takes "deploying a signaling LB6 in UPF1" as an example for illustration.

Optionally, the signaling processing unit 7 is connected to a target number of data processing units 4 . The signaling processing unit 7 is configured to instruct the primary data processing unit 41 corresponding to the first service to process the service data of the first service. The first service is any one of multiple services.

Optionally, the signaling processing unit 7 corresponds to a central processing unit (central processing unit, CPU) core, so that the signaling processing unit 7 can work independently. When there are multiple signaling processing units 7 , all session information processed by the UPF can be synchronized to all signaling processing units 7 . When one of the signaling processing units 7 fails, the signaling LB distributes the signaling data originally distributed to it to other signaling processing units 7 for processing. Exemplarily, FIG. 2 takes "the deployment of the signaling processing unit 71 and the signaling processing unit 72 in the UPF1" as an example for illustration.

Optionally, when the primary data processing unit 41 fails to process, the signaling processing unit 7 is configured to instruct any one of the at least one standby data processing unit 42 to process the service data of the first service.

Optionally, when the target quantity is smaller than the current quantity, the signaling processing unit 7 is further configured to instruct any one of the at least one standby data processing unit to process the service data of the second service. The second service is a service processed by at least one data processing unit at the current moment. The at least one data processing unit is at least one of the multiple data processing units 4 running on the UPF1 at the current moment.

Optionally, the management interface sub-module is used to realize interface display functions of configuration management, service registration, system status monitoring, signaling and statistical information. When the business volume of the management plane is not large, the deployment mode of a single business unit can be adopted. Exemplarily, Fig. 2 takes "deploying a management plane sub-module" as an example for illustration.

Referring to FIG. 1 , UPF1 , terminal equipment 2 and network terminal equipment 3 in the capacity adjustment system all include elements included in the communication device shown in FIG. 4 or FIG. 4 . The hardware structure of UPF1, terminal equipment 2 and network terminal equipment 3 will be introduced below by taking the communication device shown in FIG. 3 and FIG. 4 as an example.

As shown in FIG. 3 , it is a schematic diagram of a hardware structure of a communication device provided in an embodiment of the present application. The communication device includes a processor 21 , a memory 22 , a communication interface 23 and a bus 24 . The processor 21 , the memory 22 and the communication interface 23 may be connected through a bus 24 .

The processor 21 is the control center of the communication device, and may be one processor, or a general term for multiple processing elements. For example, the processor 21 may be a general-purpose central processing unit (central processing unit, CPU), or other general-purpose processors. Wherein, the general-purpose processor may be a microprocessor or any conventional processor.

As an embodiment, the processor 21 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 3 .

Memory 22 may be read-only memory (read-only memory, ROM) or other types of static storage devices that can store static information and instructions, random access memory (random access memory, RAM) or other types that can store information and instructions The dynamic storage device can also be an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a magnetic disk storage medium or other magnetic storage devices, or can be used to carry or store instructions or data structures desired program code and any other medium that can be accessed by a computer, but not limited thereto.

In a possible implementation manner, the memory 22 may exist independently of the processor 21, and the memory 22 may be connected to the processor 21 through the bus 24 for storing instructions or program codes. When the processor 21 invokes and executes the instructions or program codes stored in the memory 22, it can realize the route planning method provided by the following embodiments of the present invention.

In another possible implementation manner, the memory 22 may also be integrated with the processor 21 .

The communication interface 23 is used for connecting the communication device with other devices through a communication network, and the communication network may be Ethernet, wireless access network, wireless local area network (wireless local area networks, WLAN) and the like. The communication interface 23 may include a receiving unit for receiving data, and a sending unit for sending data.

The bus 24 may be an industry standard architecture (industry standard architecture, ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, etc. The bus can be divided into address bus, data bus, control bus and so on. For ease of representation, only one thick line is used in FIG. 3 , but it does not mean that there is only one bus or one type of bus.

Fig. 4 shows another hardware structure of the communication device in the embodiment of the present invention. As shown in FIG. 4 , the communication device may include a processor 31 and a communication interface 32 . Processor 31 is coupled with communication interface 32 .

For functions of the processor 31, reference may be made to the description of the processor 21 above. In addition, the processor 31 also has a storage function and can function as the above-mentioned memory 22 .

The communication interface 32 is used to provide data to the processor 31 . The communication interface 32 may be an internal interface of the communication device, or an external interface of the communication device (corresponding to the communication interface 23 ).

It should be pointed out that the structure shown in Figure 3 (or Figure 4) does not constitute a limitation on the communication device, except for the components shown in Figure 3 (or Figure 4), the communication device may include more than shown in the figure or fewer components, or combining certain components, or a different arrangement of components.

The capacity adjustment method provided by the embodiment of the present application will be described in detail below with reference to the accompanying drawings. As shown in Figure 5, the capacity adjustment method includes:

S501. The UPF obtains the number of services of multiple services to be processed by the UPF at the current moment.

Optionally, the UPF may also acquire service types, security levels, priorities, etc. of multiple services.

S502. The UPF determines the target number of data processing units according to the number of services.

Wherein, the target quantity is greater than or equal to the business quantity.

S503. The UPF instructs to deploy a target number of data processing units on the UPF.

When the UPF needs to be expanded, it is only necessary to add a data processing unit and configure an independent port for the newly added data processing unit.

When the UPF needs to shrink, the UPF only needs to shut down the data processing unit. The business on the shut down data processing unit will be taken over by the standby data processing unit. The signaling processing unit will not allocate new services to the standby data processing unit, and as the original users gradually go offline, the business volume of the standby data processing unit will gradually drop to 0, realizing seamless capacity reduction.

The technical solutions provided by the above embodiments bring at least the following beneficial effects: It can be seen from S501-S503 that after obtaining the business quantities of multiple services to be processed by the UPF at the current moment, the target of the data processing unit can be determined according to the business quantities quantity. Then, a target number of data processing units may be instructed to be deployed on the UPF. Since the target quantity in this application is greater than or equal to the service quantity, dynamic adjustment of the capacity of the UPF can be realized. At the same time, when deploying a target number of data processing units on the UPF, there is no need to shut down ongoing services, and the target number of data processing units can continue processing without affecting user use.

In an optional embodiment, with reference to FIG. 5, as shown in FIG. 6, in S502, the method for the UPF to determine the target number of data processing units according to the number of services includes:

S601. The UPF determines the number of multiple active data processing units and the number of at least one standby data processing unit corresponding to the number of services according to the number of services.

S602. The UPF determines the sum of the quantity of multiple active data processing units and the quantity of at least one standby data processing unit as the target quantity.

Optionally, considering that the probability of simultaneous failure of multiple data processing units is very low, the situation of simultaneous failure of multiple data processing units is not considered for the time being, so this architecture adopts the design of N+1 backup. When the main data processing unit is working normally, the traffic is forwarded by the main data processing unit, and when the main data processing unit fails, the traffic is taken over by the standby data processing unit. After the active data processing unit recovers, the traffic is switched back to the active data processing unit for processing. When the main and standby data processing units are switched, the terminal device does not need to go online again, so the user has no perception and will not affect the user experience.

Therefore, the target number of data processing units may include: multiple primary data processing units corresponding to multiple services one-to-one, and at least one standby data processing unit.

The technical solutions provided by the above embodiments bring at least the following beneficial effects: It can be seen from S601-S602 that UPF can determine the number of multiple primary data processing units corresponding to multiple services one-to-one and at least one standby data processing unit according to the number of services. The number of units, then, the sum of the number of multiple active data processing units and the number of at least one standby data processing unit may be determined as the target number. The present application provides a method for determining the target number of data processing units, so that the adjusted capacity of the UPF can meet the service requirements in the network.

In an optional embodiment, referring to FIG. 6, as shown in FIG. 7, the capacity adjustment method further includes:

S701. The UPF instructs the primary data processing unit corresponding to the first service to process service data of the first service.

Wherein, the first service is any one of multiple services.

Exemplarily, in conjunction with FIG. 2, as shown in FIG. 8, the data processing unit 41 configures two N3 ports as: loopback interface (loopback) 3.1, loopback3.2 and the corresponding binding (bonding) port as: BondEthernet1.1 , BondEthernet1.2.

Wherein, BondEthernet1.1 and BondEthernet1.2 respectively configure intranet Internet protocol (internet protocol, IP) addresses 192.168.103.1 and 192.168.203.1, loopback3.1 and loopback3.2 configure public network IP addresses 10.3.103.1 and 10.3 respectively. 203.1. Configure the corresponding bonding ports eth-trunk1.1 and eth-trunk1.2 on TOR5, and configure the IP addresses as 192.168.103.239 and 192.168.203.239.

The data processing unit 41 is also configured with two N6 ports loopback6.1 and loopback6.2 and their corresponding bonding ports BondEthernet1.3 and BondEthernet1.4. BondEthernet1.3 and BondEthernet1.4 are configured with private network IP addresses 192.168.106.1 and 192.168.206.1 respectively, and loopback6.1 and loopback6.2 are configured with public network IP addresses 10.6.106.1 and 10.6.206.1 respectively. The corresponding bonding ports eth-trunk1.3 and eth-trunk1.4 are configured on TOR5, and the IP addresses are configured as 192.168.106.239 and 192.168.206.239.

The data processing unit 41 and the TOR5 start a border gateway protocol (border gateway protocol, BGP) respectively. The data processing unit 41 issues high-priority host routes pointing to N3 ports 10.3.103.1 and 10.3.203.1. When the user goes online, the signaling processing unit sends the session information to the data processing unit 41, and the data processing unit 41 releases a high-priority host route pointing to the IP of the terminal device 2 after establishing the session. TOR5 issues routes to the data network and base stations to the data processing unit 41 .

When TOR5 receives the uplink message from terminal device 2, it forwards it to the data processing unit 41 through eth-trunk3.1 or eth-trunk3.2 according to the route for processing; 2 forwards the message to the data processing unit 41 for processing.

Another example, when processing business data of multiple terminal devices at the same time, in combination with FIG. 2, as shown in FIG. 9, the data processing unit 41, the data processing unit 42, and the data processing unit 43 are respectively configured with different N3 ports and N6 ports , to process the traffic destined for different N3 ports and the traffic of different terminals respectively. TOR5 forwards traffic according to the routes published by the service nodes of each data processing unit. After the administrator configures the IP of each interface and starts BGP, the data processing unit 41, the data processing unit 42, and the data processing unit 43 issue the high-priority host route of the N3 port to TOR5, and the data processing unit 44 (i.e., the backup data processing unit) ) advertises the low-priority host route of the N3 port.

When the first terminal device goes online, the data processing unit 41 is idle, and the signaling processing unit assigns the data processing unit 41 to process the traffic of the first terminal device. Then the signaling processing unit publishes the session information of the first terminal device to the data processing unit 41 and the data processing unit 44, and replies to the session management function (session management function, SMF) N3 IP at the same time as the corresponding IP of the N3 port of the data processing unit 41 . After the data processing unit 41 and the data processing unit 44 establish a session, the data processing unit 41 publishes the high-priority host route of the first terminal device, and the data processing unit 44 publishes the low-priority host route of the first terminal device.

When the second terminal device goes online, the data processing unit 42 is relatively idle, and the signaling processing unit assigns the data processing unit 42 to process the traffic of the second terminal device. Then the signaling processing unit publishes the session information of the second terminal device to the data processing unit 42 and the data processing unit 44, and at the same time replies that the SMF N3 IP is the corresponding IP of the N3 port of the data processing unit 42. After the data processing unit 42 and the data processing unit 44 establish a session, the data processing unit 42 publishes the high-priority host route of the second terminal device, and the data processing unit 44 publishes the low-priority host route of the second terminal device.

When other terminal devices go online, the process is the same as above, and will not be repeated here.

The technical solutions provided by the above embodiments bring at least the following beneficial effects: It can be seen from S701 that the UPF can instruct the primary data processing unit corresponding to the first service to process the service data of the first service, so that the capacity of the adjusted UPF can meet the requirements of the network. business needs in .

In an optional embodiment, referring to FIG. 7, as shown in FIG. 10, the capacity adjustment method further includes:

S1001. When the primary data processing unit fails to process, the UPF instructs any one of the at least one standby data processing unit to process the service data of the first service.

Exemplarily, when the processing of the main data processing unit fails, in conjunction with FIG. 2, as shown in FIG. The four ports of the port are also configured as Bonding interfaces (eth-trunk2).

The data processing unit 44 is configured with two N3 ports loopback3.1 and loopback3.2 and their corresponding bonding ports BondEthernet16.1 and BondEthernet16.2. BondEthernet16.1 and BondEthernet16.2 are configured with internal network IP addresses 192.168.103.16 and 192.168.203.16 respectively, and loopback3.1 and loopback3.2 are configured with public network IP addresses 10.3.103.1 and 10.3.203.1 respectively. The corresponding bonding ports eth-trunk16.1 and eth-trunk16.2 are configured on TOR5, and the IP addresses are configured as 192.168.103.254 and 192.168.203.254.

The data processing unit 44 starts BGP. Data processing unit 44 issues low priority host routes to N3 ports 10.3.103.1 and 10.3.203.1. When the user goes online, the signaling processing unit sends the session information to the data processing unit 44, and the data processing unit 44 issues a low-priority host route pointing to the terminal IP after establishing the session.

When TOR5 receives the uplink packet from the terminal, due to the failure of the main data processing unit 41, the high-priority route to the N3 port fails, so it is forwarded to The data processing unit 44 processes it; similarly, after the downlink message arrives at TOR5, TOR5 forwards the message to the data processing unit 44 for processing according to the low-priority host route directed to the terminal.

S1002. After the active data processing unit recovers, the UPF instructs the active data processing unit to process the service data of the first service.

In combination with the above example, when the main data processing unit recovers, referring to Figure 2, as shown in Figure 12, after the failure of the main data processing unit 41 recovers, the data processing unit 41 restores the user session information from the database first, and publishes the IP address pointing to the terminal device. High priority host routes. After recovery is complete, high-priority host routes pointing to N3 ports 10.3.103.1 and 10.3.203.1 are published.

At this time, the uplink and downlink messages of the terminal device will be forwarded to the data processing unit 41 according to the high-priority route, and will be processed by the data processing unit 41, and the data processing unit 44 will resume being idle.

The technical solutions provided by the above embodiments bring at least the following beneficial effects: It can be seen from S1001-S1002 that when the primary data processing unit fails to process, the UPF can instruct any one of the at least one standby data processing unit to process the first Business data for business. Subsequently, after the active data processing unit recovers, the UPF may instruct the active data processing unit to process the service data of the first service. The present application provides a method for processing service data, which can replace a data processing unit, avoid user perception, and improve user experience.

In an optional embodiment, referring to FIG. 6, as shown in FIG. 13, the capacity adjustment method further includes:

S1301. When the target quantity is less than the current quantity, the UPF determines at least one data processing unit to be shut down.

Wherein, the current number is the number of multiple data processing units running on the UPF at the current moment.

S1302. The UPF instructs any one of the at least one standby data processing unit to process the service data of the second service.

Wherein, the second service is a service processed by at least one data processing unit at the current moment.

S1303. The UPF instructs the UPF to stop deploying at least one data processing unit.

The technical solutions provided by the above embodiments bring at least the following beneficial effects: It can be known from S1301-S1303 that when the target quantity is less than the current quantity, the UPF can determine at least one data processing unit to be shut down, and then can instruct at least one standby data processing unit Any one of the standby data processing units in the second service processes the service data of the second service. The UPF instructs the UPF to stop deploying at least one data processing unit. This application provides a UPF scaling method, so that when data processing units are reduced, business data will not be interrupted. Make the user imperceptible and improve the user experience.

The foregoing mainly introduces the solutions provided by the embodiments of the present application from the perspective of methods. In order to realize the above functions, it includes corresponding hardware structures and/or software modules for performing various functions. Those skilled in the art should easily realize that the present application can be implemented in the form of hardware or a combination of hardware and computer software in combination with the units and algorithm steps of each example described in the embodiments disclosed herein. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

In this embodiment of the present application, the functional modules of the capacity adjustment device may be divided according to the above method example. For example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. Optionally, the division of modules in this embodiment of the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

As shown in FIG. 14 , it is a schematic structural diagram of a capacity adjustment device provided by an embodiment of the present application. The capacity adjustment device can be used to implement the capacity adjustment methods shown in FIGS. 5 to 13 . The capacity adjustment device shown in FIG. 14 includes: an acquisition unit 1401 and a processing unit 1402 .

The obtaining unit 1401 is configured to obtain the service quantities of multiple services to be processed by the UPF at the current moment.

The processing unit 1402 is configured to determine a target number of data processing units according to the number of services; the target number is greater than or equal to the number of services.

The processing unit 1402 is further configured to instruct to deploy a target number of data processing units on the UPF.

Optionally, the processing unit 1402 is specifically configured to: according to the number of services, determine the number of multiple primary data processing units corresponding to multiple services one-to-one, and the number of at least one standby data processing unit; The sum of the number of processing units and the number of at least one spare data processing unit is determined as the target number.

Optionally, the processing unit 1402 is further configured to: instruct the main data processing unit corresponding to the first service to process the service data of the first service; the first service is any one of multiple services.

Optionally, the processing unit 1402 is also configured to: when the main data processing unit fails to process, instruct any one of the at least one standby data processing unit to process the business data of the first service; when the main data processing unit After recovery, instruct the active data processing unit to process the service data of the first service.

Optionally, the processing unit 1402 is also configured to: determine at least one data processing unit to be shut down when the target number is less than the current number; the current number is the number of multiple data processing units running on the UPF at the current moment; indicate at least Any one of the standby data processing units processes the service data of the second service; the second service is the service processed by at least one data processing unit at the current moment; and instructs the UPF to stop deploying the at least one data processing unit.

The embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are run on the computer, the computer is made to execute the capacity adjustment method provided in the foregoing embodiments.

The embodiment of the present application also provides a computer program, which can be directly loaded into the memory and contains software codes. After the computer program is loaded and executed by the computer, it can implement the capacity adjustment method provided by the above embodiments.

Those skilled in the art should be aware that, in the above one or more examples, the functions described in the present invention may be implemented by hardware, software, firmware or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of the description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned functions can be allocated according to needs It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. For example a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms. A unit described as a separate component may or may not be physically separated, and a component shown as a unit may be one physical unit or multiple physical units, which may be located in one place or distributed to multiple different places. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. If an integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the common technology or all or part of the technical solution can be embodied in the form of a software product, and the software product is stored in a storage medium , including several instructions to make a device (which may be a single-chip microcomputer, a chip, etc.) or a processor (processor) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. All should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (12)

1. A capacity modulation method, comprising:

acquiring the service quantity of a plurality of services to be processed by a user plane network element UPF at the current moment;

determining the target number of the data processing units according to the service number; the target number is greater than or equal to the service number;

indicating that the target number of data processing units is deployed on the UPF.

2. The capacity modulation method as claimed in claim 1, wherein said determining a target number of data processing units based on said traffic number comprises:

determining the number of a plurality of main data processing units and the number of at least one standby data processing unit corresponding to the plurality of services one by one according to the service number;

and determining the sum of the number of the plurality of main data processing units and the number of the at least one standby data processing unit as the target number.

3. The capacity modulation method as recited in claim 2, further comprising:

indicating a main data processing unit corresponding to a first service, and processing service data of the first service; the first service is any one service among the plurality of services.

4. A capacity modulation method as recited in claim 3, further comprising:

when the processing of the main data processing unit fails, indicating any one of the at least one standby data processing unit to process the service data of the first service;

and after the main data processing unit is recovered, the main data processing unit is instructed to process the service data of the first service.

5. The capacity modulation method as recited in claim 2, further comprising:

when the target number is smaller than the current number, determining at least one data processing unit to be closed; the current number is the number of the plurality of data processing units running on the UPF at the current moment;

instructing any one of the at least one spare data processing unit to process service data of the second service; the second service is a service processed by the at least one data processing unit at the current moment;

Instruct the UPF to cease deploying the at least one data processing unit.

6. A capacity modulation device, comprising: an acquisition unit and a processing unit;

the acquiring unit is used for acquiring the service quantity of a plurality of services to be processed by the user plane network element UPF at the current moment;

the processing unit is used for determining the target number of the data processing units according to the service number; the target number is greater than or equal to the service number;

the processing unit is further configured to instruct deployment of the target number of data processing units on the UPF.

7. The capacity modulation device of claim 6, wherein the processing unit is specifically configured to:

determining the number of a plurality of main data processing units and the number of at least one standby data processing unit corresponding to the plurality of services one by one according to the service number;

and determining the sum of the number of the plurality of main data processing units and the number of the at least one standby data processing unit as the target number.

8. The capacity modulation device of claim 7, wherein the processing unit is further configured to:

Indicating a main data processing unit corresponding to a first service, and processing service data of the first service; the first service is any one service among the plurality of services.

9. The capacity modulation device of claim 8, wherein the processing unit is further configured to:

when the processing of the main data processing unit fails, indicating any one of the at least one standby data processing unit to process the service data of the first service;

and after the main data processing unit is recovered, the main data processing unit is instructed to process the service data of the first service.

10. The capacity modulation device of claim 7, wherein the processing unit is further configured to:

when the target number is smaller than the current number, determining at least one data processing unit to be closed; the current number is the number of the plurality of data processing units running on the UPF at the current moment;

instructing any one of the at least one spare data processing unit to process service data of the second service; the second service is a service processed by the at least one data processing unit at the current moment;

Instruct the UPF to cease deploying the at least one data processing unit.

11. A capacity modulation device comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the capacity adjustment device is operated, the processor executes the computer-executable instructions stored in the memory to cause the capacity adjustment device to perform the capacity adjustment method according to any one of claims 1-5.

12. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the capacity adjustment method according to any one of claims 1-5.

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