CN113905449B

CN113905449B - Computing resource scheduling method, system and equipment

Info

Publication number: CN113905449B
Application number: CN202111165299.2A
Authority: CN
Inventors: 刘宏俊; 杨光; 王东
Original assignee: Hangzhou Alibaba Cloud Feitian Information Technology Co ltd
Current assignee: Hangzhou Alibaba Cloud Feitian Information Technology Co ltd
Priority date: 2021-09-30
Filing date: 2021-09-30
Publication date: 2024-04-05
Anticipated expiration: 2041-09-30
Also published as: CN113905449A

Abstract

The embodiment of the application provides a computing resource scheduling method, a computing resource scheduling system and computing resource scheduling equipment. The method comprises the following steps: load information of a first baseband processing instance corresponding to a target cell is obtained; the first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system; determining whether a first baseband processing instance needs to be newly added for the target cell according to the load information of the first baseband processing instance corresponding to the target cell; and when determining that a first baseband processing instance needs to be newly added aiming at the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell. The computing resource scheduling scheme provided by the embodiment of the application has better flexibility.

Description

Computing resource scheduling method, system and equipment

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a method, a system, and an apparatus for scheduling computing resources.

Background

Cloud radio access network (Cloud RAN) is an example of running a software protocol stack virtualization deployment such as LTE (Long Term Evolution ), 5G, etc. on a general purpose computing node, that is, a communication computing node for providing protocol stack functions (i.e., baseband processing functions).

Currently, the computing resource scheduling schemes related to the above examples are: according to the instance load condition, the number of CPU cores bound by the instance is dynamically adjusted, and the scheme has the problem of poor flexibility.

Disclosure of Invention

In view of the foregoing, the present application is directed to providing a computing resource scheduling method, system, and apparatus that solve, or at least partially solve, the foregoing problems.

Thus, in one embodiment of the present application, a computing resource scheduling method is provided. The method comprises the following steps:

load information of a first baseband processing instance corresponding to a target cell is obtained; the first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system;

determining whether a first baseband processing instance needs to be newly added for the target cell according to the load information of the first baseband processing instance corresponding to the target cell;

and when determining that a first baseband processing instance needs to be newly added aiming at the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell.

In yet another embodiment of the present application, a computing resource scheduling method is provided. The method comprises the following steps:

When a radio bearer is required to be established for a user of a target cell, acquiring load information of a plurality of first baseband processing examples corresponding to the target cell; the first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system;

determining a target first baseband processing instance from a plurality of first baseband processing instances corresponding to the target cell according to load information corresponding to the plurality of first baseband processing instances corresponding to the target cell;

creating a radio bearer for the user in the target first baseband processing instance;

and establishing a corresponding relation between the user and the target first baseband processing instance so as to schedule the communication data of the user to the target first baseband processing instance for processing.

In yet another embodiment of the present application, a computing resource schedule is provided. The method and the device comprise the following steps:

acquiring live broadcast data load information of a first baseband processing instance corresponding to a target cell; the first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system;

determining whether a first baseband processing instance needs to be newly added for the target cell according to the live data load information of the first baseband processing instance corresponding to the target cell;

In yet another embodiment of the present application, there is provided a radio access network system, including: a resource manager and a cloud cluster; wherein,

the resource manager is configured to:

load information of a first baseband processing instance corresponding to a target cell is obtained; the first baseband processing instance corresponding to the target cell is deployed in the cloud cluster;

In yet another embodiment of the present application, an electronic device is provided. The electronic device includes: a memory and a processor, wherein,

the memory is used for storing programs;

The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the computing resource scheduling method of any one of the above.

In yet another embodiment of the present application, a computer readable storage medium storing a computer program that when executed by a computer enables the scheduling of computing resources described in any one of the above.

In the technical scheme provided by the embodiment of the application, whether a first baseband processing instance needs to be newly added for a target cell is determined according to load information of the first baseband processing instance corresponding to the target cell in a cloud cluster deployed in a wireless access network system; and when determining that a first baseband processing instance needs to be newly added aiming at the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell. That is, when the target cell expands or adds new features, the computing resource can be newly added to the target cell from the dimension of the cloud cluster, instead of the dimension of the computing node where the instance corresponding to the target cell is located, which is the dimension of the computing resource that can only be newly added to the target cell in the prior art. Therefore, the computing resource scheduling scheme provided by the scheme is not limited by the upper limit of the computing resource of the computing node where the instance corresponding to the target cell is located, and the flexibility is higher.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic architecture diagram of a Cloud RAN according to an embodiment of the present application;

fig. 2 is a schematic diagram of a user plane protocol stack function division according to an embodiment of the present application;

fig. 3 is a block diagram of a radio access network system according to an embodiment of the present application;

FIG. 4 is a flowchart illustrating a method for scheduling computing resources according to an embodiment of the present disclosure;

FIG. 5 is a flowchart illustrating a method for scheduling computing resources according to an embodiment of the present disclosure;

fig. 6 is a schematic diagram of a frame of a wireless communication system according to an embodiment of the present application;

fig. 7 is a schematic diagram of a processing flow of downlink data according to an embodiment of the present application;

fig. 8 is a block diagram of a radio access network system according to an embodiment of the present application;

FIG. 9 is a flowchart illustrating a method for scheduling computing resources according to an embodiment of the present disclosure;

Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application according to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

Furthermore, in some of the flows described in the specification, claims, and drawings of this application, a plurality of operations occurring in a particular order, which operations may not be performed in the order in which they occur or in parallel. The sequence numbers of operations such as 101, 102, etc. are merely used to distinguish between the various operations, and the sequence numbers themselves do not represent any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.

Some concepts related to the embodiments of the present application will be briefly described:

cloud RAN: cloud base stations running on general purpose computing nodes.

RAN: radio Access Network, in particular base stations.

BBU: baseband Unit, baseband Unit.

CU: central Unit, central Unit for controlling multiple DUs.

DU: distributed units, distributed units.

Clustering: generally referred to as K8s clusters, can uniformly deploy network services and customer services, etc.

User plane: user plane processing includes protocol stack processing such as link layer L2 and physical layer L1.

In order to facilitate understanding of the technical solutions provided by the embodiments of the present application by those skilled in the art, a technical environment in which the technical solutions are implemented is described below.

In a wireless communication system, a terminal may communicate with one or more Core Networks (CNs) through a radio access Network (Radio Access Network, RAN for short), which may include base stations.

A Terminal (Terminal) may also be referred to as a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (access Terminal), a Terminal device, a subscriber unit, a subscriber Station, a Mobile Station, a remote Terminal, a Mobile device, a User Terminal, a wireless communication device, a User agent, or a User Equipment, among others. The terminal may be a cellular telephone, a cordless telephone, a session initiation protocol (Session Initiation Protocol, SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device with wireless communication capability, a computer device or a car-mounted device, a wearable device, and a terminal device in a future 5G network, etc.

The base station, i.e., the public mobile communication base station, is a radio transceiver station that performs information transfer between a mobile communication switching center and a terminal in a fixed radio coverage area. The base band part and the radio frequency part of the base station can be separated, the base band signal is transmitted between the base band part and the radio frequency part, and the base band optical signal is converted into the radio frequency signal at the far end to be amplified and transmitted. The baseband part may be called a baseband Unit (BBU), the radio frequency part may be called a remote radio Unit (Remote Radio Unit, RRU), and the baseband Unit and the remote radio Unit may be connected by an optical fiber, where one baseband Unit may support multiple remote radio units. The baseband processing unit can send the baseband signal to the remote radio unit, the remote radio unit can convert the baseband signal into a radio frequency signal and send the radio frequency signal out through the antenna, the remote radio unit can also receive the radio frequency signal through the antenna, convert the received radio frequency signal into the baseband signal and send the baseband signal to the baseband processing unit.

In a Cloud RAN, the BBU may be clouded, resulting in a clouded BBU, i.e., an instance on a compute node that is used to provide BBU functionality. As shown in fig. 1, in the wireless communication system, the clouded BBU11 may be connected to the RRU12, and the clouded BBU11 may also be connected to the core network 13, where the RRU may communicate with the terminal through radio frequency signals. In this embodiment, the message from the RRU to the BBU may be understood as a forward message, and in one embodiment, the communication interface between the RRU and the BBU may be an enhanced common public radio interface (enhance Common Public Radio Interface, abbreviated as eCPRI) protocol, and the forward message may be an eCPRI message.

It should be understood that the specific manner in which the base station divides the baseband processing Unit and the remote radio Unit may be different in different communication systems, for example, as shown in fig. 2, in a 5th Generation (5G) communication system, the base station may be divided into a Central Unit (CU), a Distributed Unit (DU), an RRU, and an antenna. The central unit + distributed unit can be understood as the baseband processing unit BBU. CU and DU may be clouded, referred to as clouding CU and clouding DU. The cloud DU and the AAU are connected through an eCPRI interface; the cloud CU is divided into a user plane CU (CU-CP for short) and a control plane CU (CU-UP for short), wherein the CU-CP is connected with AMF (Access and Mobility Management Function ) equipment in the core network through an N2 control plane interface, and the CU-UP is connected with UPF (User Plane Function ) equipment in the core network through an N3 data plane interface. Wherein one clouding DU may support one or more cells. Clouding CUs, namely CU instances on compute nodes; clouding DUs is the example of DUs on a compute node.

The existing computing resource scheduling scheme specifically comprises the following steps: on the computing node where the DU instance is located, there is a resource manager, which can dynamically adjust the computing resource (for example, CPU core number) bound by the DU instance in the dimension of the computing node according to the user instruction or instance load condition, that is, dynamically adjust the computing resource of the computing node where the instance is located according to the instance load, so as to realize the elastic management of the single instance of the DU. The size of the computing resources (CPU cores) allocated for a DU instance determines the number of tasks and processing power that the corresponding BBU of the DU can create. After receiving the user data packet, the DU instance has a task chain responsible for processing, mainly including RLC (Radio Link Control), MAC (Medium Access Control), PHY (Physical) and air interface scheduling related tasks.

Because the scheme can only dynamically adjust the computing resources bound by DU instances in a single dimension of the computing node, the scheme is limited by the upper limit of the computing resources of the computing node where the instances are located, so that the resource utilization is not flexible enough, and the flexible management capability of cluster dimension is not provided. This determines that the solution is technically incapable of solving some scenario problems, for example: under the scenes of cell capacity expansion (for example, the number of users is greatly increased), cell new characteristics are added and the like, when the upper limit of the computing resources of the computing node where the instance is located can not meet the actual demands, the target cell or other cells need to be migrated, which necessarily leads to the situation that the wireless communication service of the migrated cells is interrupted, so that the user experience is affected, and the operation and maintenance complexity is increased. Moreover, in the prior art, one server can only serve one or several fixed cells, and cells served by different servers are different. The computing resources cannot be shared among different cells served by different servers, so that the two servers need to take the maximum computing resources required by the cells as a base line in planning, resource waste is caused, and cost is increased.

In order to solve or partially solve the above problems, the embodiments of the present application provide a new computing resource scheduling method: determining whether a first baseband processing instance needs to be newly added for a target cell according to load information of the first baseband processing instance corresponding to the target cell in a cloud cluster deployed in a wireless access network system; and when determining that a first baseband processing instance needs to be newly added aiming at the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell. That is, when the capacity of the target cell is increased or new characteristics of the cell are added, the computing resource can be newly added for the target cell from the dimension of the cloud cluster, instead of the dimension which is the dimension of the computing node where the instance corresponding to the target cell is located, which is the dimension of the computing node where the instance corresponding to the target cell is located in the prior art, the computing resource is not limited by the upper limit of the computing resource where the instance corresponding to the target cell is located, and the flexibility is higher. Meanwhile, the situation of service interruption caused by limiting the cell to be migrated by the upper limit of the computing resource of the computing node where the instance corresponding to the target cell is located is avoided.

Fig. 3 shows a schematic diagram of a radio access network system according to an embodiment of the present application. The radio access network system includes: resource manager 301 and cloud cluster. Wherein the cloud cluster may include a plurality of computing nodes 302. The resource manager 301 may run on one of the computing nodes 302 in the cloud cluster. The embodiment of the present application is not particularly limited thereto. In an example, the radio access network system may further include a plurality of radio frequency units 303, which may be specifically RRUs or active antenna processing units (Active Antenna Unit, AAUs). Wherein, the resource manager 301 is configured to perform the following steps (as shown in fig. 4):

s401, load information of a first baseband processing example corresponding to a target cell is obtained.

The first baseband processing instance corresponding to the target cell is deployed in the cloud cluster, that is, the first baseband processing instance corresponding to the target cell is deployed on a computing node in the cloud cluster. When the number of the first baseband processing instances corresponding to the target cell is multiple, the first baseband processing instances corresponding to the target cell may be deployed on one computing node in the cloud cluster or on multiple computing nodes in the cloud cluster respectively.

S402, determining whether a first baseband processing instance needs to be newly added for the target cell according to load information of the first baseband processing instance corresponding to the target cell.

S403, when determining that a first baseband processing instance needs to be newly added for the target cell, newly adding the first baseband processing instance from the cloud cluster for the target cell so as to provide a baseband processing function for the target cell.

In the step S401, the target cell may be any cell in a radio access network system; or from the radio access network system according to the received user instruction. The user instruction may be understood as an instruction sent by the client of the operation and maintenance person.

Each computing node in the cloud cluster can send load information corresponding to each baseband processing instance on the computing node to the resource manager at preset time intervals; or the resource manager collects load information corresponding to each baseband processing instance on each computing node in the cloud cluster once at preset time intervals. Wherein the load information may include a load value and instance identification information. Wherein the instance identification information may comprise an instance ID or an instance address, the instance identification information being capable of uniquely identifying the respective instance in the entire radio access network system. The instance address is composed of the IP address of the computing node where the baseband processing instance is located and the port number corresponding to the baseband processing instance. It should be noted that, the port numbers corresponding to different baseband processing instances on the same computing node are different, and each baseband processing instance can receive and transmit data through the corresponding port.

After the resource manager obtains the load information of each baseband processing instance on each computing node in the cloud cluster, the resource manager may be configured according to a correspondence between cells and baseband processing instances, for example: and searching out the load information of the first baseband processing instance corresponding to the target cell according to the corresponding relation between the cell number and the instance identifier.

The number of first baseband processing instances corresponding to the target cell may be one or more. The first baseband processing instance corresponding to the target cell refers to an instance that provides baseband processing functionality for the target cell. The first baseband processing instance in the embodiments of the application essentially refers to a thread or a set of threads for implementing the respective baseband processing function or a first sub-function in the baseband processing function.

In an implementation scheme, in S402, according to load information of a first baseband processing instance corresponding to the target cell, it is determined whether a first baseband processing instance whose load value is greater than or equal to a first preset threshold exists in the first baseband processing instance corresponding to the target cell, so as to obtain a first determination result; and determining whether a first baseband processing instance needs to be newly added for the target cell according to the first determination result. The first preset threshold may be set according to actual needs, which is not specifically limited in the embodiments of the present application, for example: the first preset threshold is 80%.

In example applications, the number of first baseband processing examples corresponding to the target cell may be one or more. When the number of the first baseband processing instances corresponding to the target cell is one, if the first determination result shows that the load value existing in the first baseband processing instances corresponding to the target cell is greater than or equal to the first preset threshold, the condition that the only one baseband processing instance corresponding to the target cell is overloaded can be understood, and therefore it is determined that the first baseband processing instance needs to be newly added for the target cell. When the number of the first baseband processing instances corresponding to the target cell is multiple, according to the first determination result, it may be determined whether a ratio between the number of the first baseband processing instances with the load value greater than or equal to the first preset threshold value in the first baseband processing instances corresponding to the target cell and the total number of the first baseband processing instances corresponding to the target cell exceeds a first preset ratio, if so, it is determined that the first baseband processing instance needs to be newly added for the target cell, and if not, it is determined that the first baseband processing instance does not need to be newly added for the target cell. The first preset ratio may be set according to actual needs, which is not specifically limited in the embodiment of the present application, for example: the first preset ratio is 60%.

In another implementation manner, in S402, load information of the first baseband processing instance corresponding to the target cell may be input into the first prediction model trained in advance, and whether the first baseband processing instance needs to be newly added for the target cell is determined according to an output result of the first prediction model. The internal structure of the first prediction model and the training process may be designed according to actual needs, which is not specifically limited in the embodiments of the present application.

In S403, when it is determined that the first baseband processing instance needs to be newly added to the target cell, the first baseband processing instance is newly added to the target cell from the cloud cluster, so as to provide a baseband processing function for the target cell. The newly added first baseband processing instance is not in the existing first baseband processing instance corresponding to the target cell. In the implementation, a corresponding relation between the target cell and the newly added first baseband processing example can be established, so that the newly added first baseband processing example can provide baseband processing functions for the target cell, namely, the user traffic is shared for the target cell.

In the technical scheme provided by the embodiment of the application, whether a first baseband processing instance needs to be newly added for a target cell is determined according to load information of the first baseband processing instance corresponding to the target cell in a cloud cluster deployed in a wireless access network system; and when determining that a first baseband processing instance needs to be newly added aiming at the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell. That is, when the target cell expands or adds new features, the computing resource can be newly added to the target cell from the dimension of the cloud cluster, instead of the dimension of the computing node where the instance corresponding to the target cell is located, which is the dimension of the computing resource that can only be newly added to the target cell in the prior art. Therefore, the scheme is not limited by the upper limit of the computing resource of the computing node where the instance corresponding to the target cell is located, and the flexibility is higher.

In an implementation solution, in the step S403, the "adding the first baseband processing instance from the cloud cluster to the target cell" may specifically include the following steps:

s4031a, determining a target computing node from the cloud cluster according to load information of a plurality of computing nodes in the cloud cluster.

S4032a, at the target computing node, creating the first baseband processing instance for the target cell.

In S4031a, the load information of each computing node may be counted by each node and sent to the resource manager; alternatively, the statistics may be collected by a resource manager, which is not specifically limited by the embodiments of the present application.

And determining whether a computing node meeting a second preset condition exists in the plurality of computing nodes according to the load information of the plurality of computing nodes in the cloud cluster. And if the target computing node exists, taking the computing node meeting the second preset condition as the target computing node. If not, a computing node can be newly added for the cloud cluster, and then the first baseband processing instance is created for the target cell on the newly added computing node. The second preset condition may include the load being less than or equal to a second preset threshold. In addition, the preset condition may further include that the number of existing instances is less than or equal to a third preset threshold. If a plurality of computing nodes meeting the preset conditions exist, one computing node can be randomly selected from the plurality of computing nodes to serve as a target computing node. The second preset threshold may be set according to actual needs, which is not specifically limited in the embodiments of the present application, for example: the second preset threshold is 80%. The third preset threshold may also be set according to actual needs, which is not specifically limited in the embodiment of the present application.

In S4032a above, the first baseband processing instance is created for the target cell at the target computing node.

In practical applications, one cell may correspond to multiple first baseband processing instances (i.e., one cell has multiple first baseband processing instances to provide baseband processing functions for it), and one first baseband processing instance may correspond to multiple cells (i.e., one baseband processing instance may provide baseband processing functions for multiple cells). In one embodiment, a cell may correspond to all first baseband processing instances in the cloud cluster, and a first baseband processing instance in the cloud cluster may correspond to all cells in the radio access network system.

In the prior art, one server can only provide service for one or a plurality of fixed cells, so that the service for the same cell can not be provided across the servers, and the computing resources can not be shared among the cells served by different servers, so that the two servers take the maximum computing resources required by the cells as a base line in planning, thereby causing resource waste and increasing the cost. In the embodiment of the present application, each computing node may serve a certain cell, and may serve the same cell across computing nodes. Therefore, the resource utilization rate can be effectively improved, the resource waste degree is reduced, and the cost is saved.

In the above embodiment, the first baseband processing instance is newly added to the target cell by newly building the first baseband processing instance. In another example, a first baseband processing instance may be added to the target cell by utilizing the existing first baseband processing instance in the cloud cluster. Specifically, in the step S403, the step of adding the first baseband processing instance from the cloud cluster to the target cell may specifically include the following steps:

s4031b, acquiring load information of other first baseband processing examples except the first baseband processing example corresponding to the target cell, which are deployed in the cloud cluster.

S4032b, determining a first baseband processing instance meeting a first preset condition from the other first baseband processing instances according to the load information of the other first baseband processing instances.

S4033b, determining the first baseband processing instance meeting the first preset condition as the first baseband processing instance newly added to the target cell.

In S4031b, the other first baseband processing example provides the baseband processing function for the other cell, and does not provide the baseband processing function for the target cell.

In S4032b, according to the load information of the other first baseband processing instances, a first baseband processing instance with a load less than or equal to a fourth preset threshold value, that is, a first baseband processing instance satisfying a first preset condition, is determined from the other first baseband processing instances. The fourth preset threshold may be set according to actual needs, which is not specifically limited in the embodiments of the present application.

In the above S4033b, in the practical application, the number of the other first baseband processing instances that satisfy the first preset condition may be plural, and one of the plural first baseband processing instances that satisfy the first preset condition may be randomly selected as the first baseband processing instance newly added for the target cell.

In this embodiment, when the first baseband processing instance corresponding to a part of cells is idle or has a low load, other cells can use their computing resources, which increases the resource utilization rate and helps to reduce the cost.

In practical application, when the load of the first baseband processing instance corresponding to a certain cell is low, the first baseband processing instance can be recovered, that is, the computing resources bound by the first baseband processing instance are recovered, so that the computing resources can be allocated to other cells when needed, and the resource utilization rate is improved. Specifically, the resource manager is further configured to perform the following steps:

s404, determining whether a first baseband processing instance to be recycled exists in the first baseband processing instance corresponding to the target cell according to the load information of the first baseband processing instance corresponding to the target cell when the first baseband processing instance does not need to be newly added to the target cell.

S405, after determining that a first baseband processing instance to be recovered exists in the first baseband processing instance corresponding to the target cell, stopping creating a new radio bearer on the first baseband processing instance to be recovered.

S406, recovering the first baseband processing instance to be recovered after the existing radio bearer on the first baseband processing instance to be recovered completes corresponding processing.

In this example, the number of the first baseband processing instances corresponding to the target cell is a plurality.

In an implementation scheme, in S404, according to load information of a plurality of first baseband processing instances corresponding to the target cell, it is determined whether there is a first baseband processing instance whose load is less than or equal to a fifth preset threshold value in the plurality of first baseband processing instances corresponding to the target cell, so as to obtain a second determination result; and determining whether the first baseband processing instance to be recovered exists in the plurality of first baseband processing instances corresponding to the target cell according to a second determination result. Specifically, according to the second determination result, it may be determined whether a ratio of the number of first baseband processing instances with a load smaller than or equal to a fifth preset threshold value among the plurality of first baseband processing instances corresponding to the target cell to the total number of the plurality of first baseband processing instances corresponding to the target cell is greater than or equal to a second preset ratio; if the first baseband processing instance is larger than or equal to the first baseband processing instance, determining that the first baseband processing instance to be recovered exists in the first baseband processing instance corresponding to the target cell. The fifth preset threshold may be set according to actual needs, which is not specifically limited in the embodiments of the present application. The second preset ratio may be set according to actual needs, which is not specifically limited in the embodiment of the present application.

In S405 above, after determining that the first baseband processing instance to be recovered exists in the first baseband processing instances corresponding to the target cell, the first baseband processing instance to be recovered may be determined from the first baseband processing instances with the load less than or equal to the fifth preset threshold value in the plurality of first baseband processing instances corresponding to the target cell.

As shown in fig. 3, the system described above may also include a load balancer 304. The resource manager may send a notification message to the load balancer regarding the shutdown creation to cause the load balancer to stop creating new radio bearers on the first baseband processing instance to be reclaimed. The notification message may carry an instance identifier of the first baseband processing instance to be recovered. After receiving the notification message, the load balancer ignores the first baseband processing instance to be recycled when a new radio bearer needs to be created, i.e. no new radio bearer is created in the first baseband processing instance to be recycled.

The radio Bearer specifically refers to a Data Radio Bearer (DRB).

In S406, after the existing radio bearer on the first baseband processing instance to be recycled completes the corresponding processing, the load balancer may be notified to the resource manager, so that the resource manager recycles the first baseband processing instance to be recycled, that is, recycles the computing resource bound by the first baseband processing instance to be recycled. Specifically, deleting the first baseband processing instance to be recovered on the computing node where the first baseband processing instance to be recovered is located. The recovered computing resources can be used for creating a new first baseband processing instance when needed, so that the effective management of the computing resources is realized.

In addition, after the first baseband processing instance to be recovered is recovered, the corresponding relationship between the first baseband processing instance to be recovered and the target cell may be deleted. If the first baseband processing instance to be recovered also provides service for other cells, the corresponding relation between the first baseband processing instance to be recovered and other cells needs to be deleted. In particular, the resource manager may inform the load balancer to delete, so that the first baseband processing instance may be ignored when the subsequent load balancer load balances the user traffic of the cells.

In an example, the load balancer is further configured to perform the following steps (as shown in fig. 5):

s501, when a radio bearer is required to be created for a user of a target cell, load information of a plurality of first baseband processing examples corresponding to the target cell is acquired.

S502, determining a target first baseband processing instance from a plurality of first baseband processing instances corresponding to the target cell according to load information corresponding to the plurality of first baseband processing instances corresponding to the target cell.

S503, in the target first baseband processing example, a radio bearer is created for the user.

S504, establishing a corresponding relation between the user and the target first baseband processing instance so as to schedule the communication data of the user to the target first baseband processing instance for processing.

In S501, the system may further include a controller 305, where after receiving a data transmission request sent by a user of a target cell, the controller may send a radio bearer creation request to a load balancer, where the request carries a user identifier and a cell identifier of the target cell. After receiving the radio bearer creation request, the load balancer obtains load information of a plurality of first baseband processing examples corresponding to the target cell according to the cell identifier carried in the request. The controller is particularly useful for implementing RRC (Radio Resource Control ) protocol processing and control plane PDCP (Packet Data Convergence Protoco, packet data convergence protocol) protocol processing.

In S502, a target first baseband processing instance is determined from the plurality of first baseband processing instances corresponding to the target cell according to load information corresponding to the plurality of first baseband processing instances corresponding to the target cell. In one example, a first baseband processing example with the smallest load can be selected as a target first baseband processing example; or randomly selecting one from the first baseband processing examples with the load smaller than or equal to the sixth preset threshold as a target first baseband processing example. The size of the sixth preset threshold may be set according to actual needs.

In S503 above, the radio bearer creation request may be forwarded to the target first baseband processing instance to create a radio bearer for the user by the target first baseband processing instance. After the target first baseband processing instance is successfully created, a create success message may be returned to the load balancer.

In S504, the load balancer establishes a correspondence between the user and the target first baseband processing instance, that is, a correspondence between the user identifier of the user and the instance identifier of the target first baseband processing instance, so as to schedule the communication data of the user to the target first baseband processing instance for processing. The specific scheduling manner will be described in the following embodiments.

It should be noted that, in the first baseband processing example, a radio bearer is created for the user, which means that corresponding computing resources are allocated for data transmission of the user in the first baseband processing example. Multiple radio bearers may be created simultaneously in one first baseband processing instance.

The applicant finds through further research that the amount of computing resources required by some sub-functions in the baseband processing function has strong correlation with the network throughput, i.e. the larger the network throughput is, the more the amount of computing resources required by the sub-functions is; the amount of computational resources required by other sub-functions is less dependent on network throughput, i.e. the amount of computational resources required by the sub-functions is relatively fixed regardless of network throughput. Therefore, the baseband processing function can be divided into a plurality of sub-functions, corresponding examples are set for each sub-function, the examples corresponding to the sub-functions with strong correlation of the required computing resource quantity and the network throughput can be flexibly deployed in multiple copies, and the examples corresponding to the sub-functions with weak correlation of the required computing resource quantity and the network throughput can be deployed in single examples. Specifically, the first baseband processing instance corresponds to a first sub-function of the baseband processing functions, where a correlation between an amount of computing resources required by the first sub-function and a network throughput is greater than a first preset correlation threshold. Wherein the first baseband processing instance corresponds to a first sub-function, meaning that the first baseband processing instance is capable of providing the first sub-function. The second baseband processing instance corresponds to a second sub-function of the baseband processing functions that requires less computing resources than a second preset correlation threshold in correlation with network throughput. Wherein the second baseband processing instance corresponds to a second sub-function, meaning that the second baseband processing instance is capable of providing the second sub-function. Wherein the first preset correlation threshold is greater than or equal to the second preset correlation threshold. I.e. the amount of computational resources required by the first sub-function has a greater dependence on network throughput than the amount of computational resources required by the second sub-function.

Further, the load balancer may further perform the following steps:

s505, when a radio bearer needs to be created for a user of the target cell, determining a second baseband processing instance corresponding to the target cell.

S506, in a second baseband processing example corresponding to the target cell, a radio bearer is created for the user.

The first baseband processing instance is an instance corresponding to a first sub-function in the baseband processing functions; the second baseband processing instance is an instance corresponding to a second sub-function in the baseband processing functions; the first sub-function is different from the second sub-function.

The load balancer side may store a correspondence between cells and second baseband processing instances. And then searching the corresponding relation between the cell and the second baseband processing instance according to the cell identification of the target cell in the radio bearer creation request, and then searching the second baseband processing instance corresponding to the target cell.

In S506 above, the radio bearer creation request may be forwarded to the second baseband processing instance corresponding to the target cell, so that the radio bearer is created for the user by the second baseband processing instance corresponding to the target cell. After the second baseband processing instance corresponding to the target cell is successfully created, a creation success message can be returned to the load balancer.

In this embodiment, through function division, the multi-copy instance elastic deployment is performed only for the sub-functions that need to be elastically deployed, and under the condition that the requirement of elastic expansion and contraction is met, computing resources can be effectively saved.

In an example, the load balancer may send the correspondence between the user and the target first baseband processing instance to a core network device in the core network system after the correspondence is established. Thus, after the core network device receives the communication data of the user, the communication data of the user can be directly sent to the target first baseband processing example for processing according to the corresponding relation.

In another example, the load balancer may further send the communication data of the user to the target first baseband processing instance for processing according to the corresponding relationship between the user and the target first baseband processing instance after receiving the communication data of the user.

In a specific example, after the load balancer receives the downlink communication data of the user, the load balancer sends the downlink communication data to the target first baseband processing example for processing according to the corresponding relation between the user and the target first baseband processing example; and after the processing of the target first baseband processing example is finished, the downlink communication data is sent to the second baseband processing example corresponding to the target cell for processing. In another embodiment, after the second baseband processing instance corresponding to the target cell processes the uplink communication data of the user, the load balancer sends the processed uplink communication data to the load balancer, and the load balancer sends the processed uplink communication data to the target first baseband processing instance for processing according to the corresponding relationship between the user and the target first baseband processing instance.

The resource manager, the load balancer, and the controller may be deployed on the same computing node or different computing nodes in the cloud cluster, which is not particularly limited in the embodiments of the present application.

It should be noted that the number of the target first baseband processing instances may be plural, and a radio bearer may be created for the user on the plural target first baseband processing instances. In this way, after receiving the user data of the user subsequently, the communication data of the user can be divided into a plurality of parts, and the parts are respectively sent to the plurality of target first baseband processing examples for processing, and can be combined subsequently through a multiplexing and combining technology.

Fig. 4 is a flow chart illustrating a method for scheduling computing resources according to an embodiment of the present application. As shown in fig. 4, the method includes:

The first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system.

The specific implementation of steps S401, S402 and S403 may refer to the corresponding content in each embodiment, and will not be described herein.

What needs to be explained here is: details of each step in the method provided in the embodiment of the present application may be referred to corresponding details in the above embodiment, which are not described herein. In addition, the method provided in the embodiments of the present application may further include other part or all of the steps in the embodiments, and specific reference may be made to the corresponding content of each embodiment, which is not repeated herein.

Fig. 5 is a flowchart of a computing resource scheduling method according to an embodiment of the present application. As shown in fig. 5, the method includes:

S504, establishing a corresponding relation between the user and the target first baseband processing instance so as to schedule the communication data of the user to the target first baseband processing instance for processing

The specific implementation of steps S501, S502 and S503 may refer to the corresponding content in each embodiment, and will not be described herein.

The embodiment of the application provides a method for flexibly scheduling a group RAN in a cluster. As shown in fig. 6, we logically divide the RAN data plane protocol stack function (corresponding to the baseband processing function) to obtain a plurality of sub-functions: the Cell-level scheduling sub-function includes a User-level link layer protocol processing sub-function L2User, a Cell-level scheduling sub-function Scheduler (or referred to as L2 Cell), a User-level physical layer protocol processing sub-function phy User, and a Cell-level physical layer protocol processing sub-function phy Cell. The computing resource amount required by the L2User and the PHYuser is related to the User flow of the cell, and the corresponding example is a first baseband processing example; the amount of computing resources required by schedulers and PHYCELL is independent of the user traffic size of the cell, and the corresponding instance is the second baseband processing instance.

Fig. 7 shows a process flow of communication data, which includes: 1. quality of service flow mapping (Qos); 2. robust header compression (Robust Header Compression) and security (security); 3. segmentation and Automatic Repeat-reQuest (ARQ); 4. multiplexing (multiplexing); 5. channel coding (channel coding) and interleaving (interleaving); 6. modulation (modulation); 7. layer mapping (layer mapping); 8. air interface resource mapping (RE mapping); 9. inverse fourier transform and CP addition (addition). In addition, the base station further includes: air interface scheduling, physical broadcast channel (Physical Broadcast Channel, PBCH), synchronization (Secondary Synchronization Signal ), physical random access (PhysicalRandom Access Channel, PRACH), and the like are performed for communication data.

Wherein, L2User is used for realizing: the quality of service flow mapping, robust header compression and security, segmentation and automatic retransmission requests and multiplexing in fig. 7. The PHYuser subfunctions include: channel coding and cross processing, modulation (modulation), and layer mapping. Schedulers are used to implement air interface scheduling. The PHYCELL is used for mapping, physical broadcast channel, synchronization, physical random access, and other processes. Wherein the inverse fourier transform and CP addition are performed by the RU.

The L2User and the PHYuser occupy most of resources, and the required computing resource quantity is related to the flow, so that elastic expansion deployment is required. The schedulers and the PHYCEL occupy fewer resources, the amount of the required computing resources is irrelevant to the flow, and elastic expansion deployment is not needed.

In the wireless communication system architecture diagram shown in fig. 6, rectangular blocks corresponding to respective sub-functions represent examples corresponding to the respective sub-functions. A user in the target cell may send a data transmission request to the controller 305 through a minimum communication resource allocated in advance by the target cell, and after the controller 305 receives the data transmission request, send a radio bearer creation request to the load balancer 304; after receiving the radio bearer creation request, the load balancer 304 determines a target L2User instance and a target phy User instance according to the load information, and forwards the radio bearer creation request to the target L2User instance and the target phy User instance. After receiving the radio bearer creation request, the target L2User instance and the target PHYuser instance create a radio bearer for the User, and create context information corresponding to the radio bearer. Wherein the context information may include cell configuration information. After the target L2User instance and the target phy User instance create the radio bearer, the radio bearer is notified to the load balancer 304, so that the load balancer 304 establishes a correspondence between the User and the target L2User instance and the target phy User instance. After the radio bearer is established, taking downlink data as an example, after the load balancer 304 receives the downlink communication data of the User sent by the core network device, the downlink communication data and the corresponding relationship between the User and the target L2User instance and the target phy User instance are sent to the target L2User instance according to the corresponding relationship between the User and the target L2User instance and the target phy User instance. The target L2User instance processes the downlink communication data, after the processing is completed, the processed downlink communication data is sent to the target PHYuser instance for processing according to the corresponding relation between the User and the target PHYuser instance, after the processing of the target PHYuser instance is completed, the data is sent to the PHYcell corresponding to the target cell for processing, after the processing of the PHYcell corresponding to the target cell is completed, the PHYcell is sent to the RU corresponding to the target cell through the switch 601, and the RU sends the User data to the User. It should be noted that, the Scheduler is configured to allocate air interface resources to the downlink communication data, and does not need to process the downlink communication data. And (3) injection: the processing flow for the uplink data may refer to the processing flow for the downlink data, which is not described in detail herein.

The resource manager 301 in fig. 6 may obtain the load information of each phy User instance and each L2User instance, and determine whether to pop up or recycle the instance according to the load information. The resource manager 301 may also send load information for each PHYuser instance and each L2User instance to the load balancer 304. The specific implementation process of the resource manager 301 may participate in the corresponding content in the above embodiments.

In practical application, the first baseband processing instance may correspond to a certain sub-function in the data link layer protocol or a certain sub-function in the physical layer protocol, which is not limited in any way by the embodiments of the present application.

The following will describe the communication data processing flow of the relevant user in the embodiment of the present application by way of example with reference to fig. 8: flexibly deploying UPuser instances of a first Cell (cell#1) across computing nodes, creating two copies: cell#1UPuser#1 and cell#1UPuser#2 are located on the first computing node 801 and the second computing node 802, respectively; the UPCell instance for the first cell is provided on the first computing node 801. Both the UPuser instance and the UPcell instance of the second Cell (cell#1) are deployed on the first compute node 801. There are three data packets downstream: cell#1user#1qos flow, cell#1user#2qos flow, and cell#2user#1qos flow, the load balancer 304 distributes data packets to corresponding UPUser instances according to the mapping addressing of [ user id, instance id ] established by the previous control plane. After the UPuser instance is processed, the UPuser instance is sent to the corresponding UPcell instance for processing, and after the UPcell instance is processed, the UPcell instance is sent to the RU of the corresponding cell. Specifically, the cell#1user#1qos flow flows in the flow direction of the target a, the cell#1user#2qos flow flows in the flow direction of the target B, and the cell#2user#1qos flow flows in the flow direction of the target C.

The UPuser instance may be the PHYuser or L2User instance. The UPCell instance may be the Scheduler instance or the PHYCELL instance described above.

Note that: the 3GPP does not define an interface between the UPUser and the UPCell, and we require that the network of the interface is capable of supporting large bandwidth and low latency, and the use of inifinib (a high-speed serial interface using a cable or a backplane as a transmission medium) is considered, and the scheme does not limit the interface.

In summary, compared with the prior art, the embodiment of the present application has the advantages that an instance corresponding to one cell can be deployed across servers, so that cluster-level elastic management is realized, that is, fine granularity of User level and even DRB level elastic management across servers is realized, better combination with cloud protogenesis is realized, and resource utilization efficiency is improved. The elastic management of the user-level fine granularity cross-server means that the granularity of the first baseband processing instance requiring multi-copy deployment in the scheme is smaller and only corresponds to a sub-function in the baseband processing function, so that when the instance copy is created, resource fragments can be utilized, and the problems of resource waste, lower utilization rate and the like caused by larger granularity of the instance copy are avoided. Wherein, the fine granularity cross-server elastic management of the DRB level refers to that one cell can correspond to a plurality of first baseband processing instance copies on a plurality of servers, and load balancing processing is performed when DRB is created for each transmission of a user.

The technical solutions provided in the above embodiments may be applied to various application fields, for example: video live broadcast, video conference, unmanned, etc. The load information may specifically be live broadcast data load information, video conference data load information, and travel data load information. The driving data refers to data which is generated in the driving process of the unmanned vehicle and is required to be transmitted through a 5G mobile communication network, such as navigation data, control data for controlling the vehicle to accelerate, decelerate, turn and the like, image or video data collected by the vehicle-mounted terminal, and the like.

Fig. 9 is a flowchart of a computing resource scheduling method according to an embodiment of the present application. As shown in fig. 9, the method includes:

s601, acquiring live broadcast data load information of a first baseband processing instance corresponding to a target cell; the first baseband processing instance corresponding to the target cell is deployed in a cloud cluster in a wireless access network system.

S602, determining whether a first baseband processing instance needs to be newly added for the target cell according to the live broadcast data load information of the first baseband processing instance corresponding to the target cell.

S603, when determining that a first baseband processing instance needs to be newly added for the target cell, newly adding the first baseband processing instance from the cloud cluster for the target cell so as to provide a baseband processing function for the target cell.

The specific implementation of steps S601, S602, and S603 may refer to the corresponding content in each embodiment, which is not described herein.

Given that a large number of anchors are in a live event within a target cell due to a large event or promotional event, a large amount of live data will be generated during this period to be transmitted. Live broadcast data load information of a first baseband processing example corresponding to a target cell can be obtained; determining whether a first baseband processing instance needs to be newly added for the target cell according to the live data load information of the first baseband processing instance corresponding to the target cell; when determining that a first baseband processing instance needs to be newly added for the target cell, the first baseband processing instance is newly added for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell, thereby realizing relevant data processing and forwarding to a viewer terminal or other network equipment.

Fig. 10 shows a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 10, the electronic device includes a memory 1101 and a processor 1102. The memory 1101 may be configured to store various other data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on an electronic device. The memory 1101 may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The memory 1101 is configured to store a program;

the processor 1102 is coupled to the memory 1101, and is configured to execute the program stored in the memory 1101, so as to implement the computing resource scheduling method provided by the foregoing method embodiments.

Further, as shown in fig. 10, the electronic device further includes: communication component 1103, display 1104, power component 1105, audio component 1106, and other components. Only some of the components are schematically shown in fig. 10, which does not mean that the electronic device only comprises the components shown in fig. 10.

Accordingly, the embodiments of the present application further provide a computer readable storage medium storing a computer program, where the computer program when executed by a computer can implement the steps or functions of the computing resource scheduling method provided in the foregoing method embodiments.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a computing node, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. A method of computing resource scheduling, comprising:

when determining that a first baseband processing instance needs to be newly added for the target cell, newly adding the first baseband processing instance for the target cell from the cloud cluster so as to provide a baseband processing function for the target cell;

The target cell corresponds to the first baseband processing instance and the second baseband processing instance; the first baseband processing instance is an instance corresponding to a first sub-function in the baseband processing functions; the second baseband processing instance is an instance corresponding to a second sub-function in the baseband processing functions; the first sub-function and the second sub-function are obtained by dividing a baseband processing function; the correlation of the amount of computing resources required by the first sub-function with network throughput is greater than the correlation of the amount of computing resources required by the second sub-function with network throughput; the greater the network throughput, the more computing resources are required, indicating a stronger correlation.

2. The method of claim 1, wherein adding the first baseband processing instance for the target cell from the cloud cluster comprises:

determining a target computing node from the cloud cluster according to load information of a plurality of computing nodes in the cloud cluster;

at the target computing node, the first baseband processing instance is created for the target cell.

3. The method of claim 1, wherein adding the first baseband processing instance for the target cell from the cloud cluster comprises:

Acquiring load information of other first baseband processing examples except the first baseband processing example corresponding to the target cell, which are deployed in the cloud cluster;

according to the load information of the other first baseband processing examples, determining a first baseband processing example meeting a first preset condition from the other first baseband processing examples;

and determining the first baseband processing instance meeting the first preset condition as the first baseband processing instance newly added by the target cell.

4. A method according to any one of claims 1 to 3, further comprising:

determining whether a first baseband processing instance to be recovered exists in the first baseband processing instance corresponding to the target cell according to load information of the first baseband processing instance corresponding to the target cell when the first baseband processing instance does not need to be newly added for the target cell;

after determining that a first baseband processing instance to be recovered exists in a first baseband processing instance corresponding to the target cell, stopping creating a new radio bearer on the first baseband processing instance to be recovered;

and after the existing radio bearer on the first baseband processing example to be recovered finishes corresponding processing, recovering the first baseband processing example to be recovered.

5. A method according to any one of claims 1 to 3, further comprising:

when a radio bearer is required to be established for a user of the target cell, acquiring load information of a plurality of first baseband processing examples corresponding to the target cell;

6. The method of claim 5, further comprising:

when a radio bearer needs to be established for a user of the target cell, determining a second baseband processing instance corresponding to the target cell;

in a second baseband processing instance corresponding to the target cell, a radio bearer is created for the user;

7. A method according to any of claims 1 to 3, wherein the first baseband processing instance corresponds to a first sub-function of a baseband processing function;

the correlation of the amount of computing resources required by the first sub-function with the network throughput is greater than a first preset correlation threshold.

8. A method of computing resource scheduling, comprising:

when a radio bearer is required to be established for a user of a target cell, acquiring load information of a plurality of first baseband processing examples corresponding to the target cell; the method comprises the steps that a plurality of first baseband processing examples corresponding to a target cell are deployed in a cloud cluster in a wireless access network system;

establishing a corresponding relation between the user and the target first baseband processing instance so as to schedule the communication data of the user to the target first baseband processing instance for processing;

9. The method of claim 8, further comprising:

10. The method of claim 8, further comprising:

after receiving the user data of the user, according to the corresponding relation between the user and the target first baseband processing instance, the user data is sent to the target first baseband processing instance for processing.

11. A method of computing resource scheduling, comprising:

12. A radio access network system, comprising: a resource manager and a cloud cluster; wherein,

the resource manager is configured to:

13. An electronic device, comprising: a memory and a processor, wherein,

the memory is used for storing programs;

the processor, coupled to the memory, for executing the program stored in the memory to implement the computing resource scheduling method of any one of claims 1 to 11.