CN114205837A

CN114205837A - Scheduling method and device for 5G core network operation, computing equipment and storage medium

Info

Publication number: CN114205837A
Application number: CN202010910903.9A
Authority: CN
Inventors: 武苑; 龙祺; 刘绍杰; 王方义
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Anhui Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Anhui Co Ltd
Priority date: 2020-09-02
Filing date: 2020-09-02
Publication date: 2022-03-18
Anticipated expiration: 2040-09-02
Also published as: CN114205837B

Abstract

The invention discloses a scheduling method, a scheduling device, computing equipment and a storage medium for 5G core network operation, wherein the method comprises the following steps: receiving an input operation requirement; judging whether the input operation affects the service according to the operation requirement; if so, performing priority ranking on the input operation and the scheduled operation, and performing conflict detection on an operation window according to a ranking result and a coverage area and/or a bearer service of an operation network element included in the operation requirement to obtain a conflict detection result; presenting the conflict detection result, and performing scheduling processing on the input operation according to the conflict detection result. Therefore, the scheme of the invention can carry out scheduling based on whether the operation affects the service and whether the detection result of conflict exists, thereby avoiding the conflict between the coverage area and the bearing service while reducing the influence on the service and realizing reasonable and efficient automatic scheduling processing.

Description

Scheduling method and device for 5G core network operation, computing equipment and storage medium

Technical Field

The invention relates to the technical field of communication, in particular to a scheduling method and device for 5G core network operation, computing equipment and a storage medium.

Background

The 5 th generation mobile communication network 5G is complex in networking, NSA (non-independent networking) and SA (independent networking) mixed networking construction is carried out, traditional network elements and virtualization network elements coexist, and the types of the network elements are numerous; 2B and 2C services are synchronously developed, and part of network element equipment is crossed and shared; the construction mode of the China mobile networking adopts a large-area centralized mode, 31 provinces of core equipment are built in eight centralized areas of North China, south China, east China, West China, North China, southwest China, Hongkong China and Macau, and user plane equipment is built in companies in various cities. Under the background of the complex network networking, the development of various new technologies and new services makes the operation of network engineering construction and the maintenance and upgrading of the existing network more frequent.

The construction and maintenance of the 5G core network relate to a virtualized network element constructed in a large area, a traditional 4G network element constructed by provincial companies and a physical network element constructed in the city of land, and different types of network elements are crossed in a service coverage area; in order to support the development of 5G network 2B and 2C services in the same POOL networking, the traditional existing network elements need version upgrading, newly-built network elements need to be jointly called into a network, services and network core data need to be manufactured in time, and the like, and meanwhile, China Mobile management Specifications require that all cutover operations are performed between 0:0 and 4:00 in the morning. The operation time window of each week is limited, and the operation of different specialties, different network elements and different areas generates conflict in the same time window, which affects the perception of users, and needs to coordinate and communicate with multiple specialties through a conference, thus the efficiency is low.

Disclosure of Invention

In view of the above, embodiments of the present invention are proposed to provide a scheduling method, apparatus, computing device and storage medium for 5G core network operation that overcome or at least partially solve the above problems.

According to an aspect of the embodiments of the present invention, there is provided a scheduling method for 5G core network operation, including:

receiving an input operation requirement;

judging whether the input operation affects the service according to the operation requirement; if so, performing priority ranking on the input operation and the scheduled operation, and performing conflict detection on an operation window according to a ranking result and a coverage area and/or a bearer service of an operation network element included in the operation requirement to obtain a conflict detection result;

presenting the conflict detection result, and performing scheduling processing on the input operation according to the conflict detection result.

According to another aspect of the embodiments of the present invention, there is provided a scheduling apparatus for 5G core network operation, including:

the operation management module is suitable for receiving the input operation requirement;

the scheduling algorithm module is suitable for judging whether the input operation affects the service according to the operation requirement; if so, carrying out priority ranking on the input operation and the scheduled operation; and scheduling the input operation according to the conflict detection result.

The conflict detection module is suitable for carrying out conflict detection on the operation window according to the sequencing result and the coverage area and/or the bearing service of the operation network element contained in the operation requirement to obtain a conflict detection result;

and the operation presenting module is suitable for presenting the conflict detection result.

According to still another aspect of an embodiment of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the scheduling method of the 5G core network operation.

According to another aspect of the embodiments of the present invention, a computer storage medium is provided, where at least one executable instruction is stored in the storage medium, and the executable instruction causes a processor to execute an operation corresponding to the scheduling method of the 5G core network operation.

According to the scheduling method, the scheduling device, the computing equipment and the storage medium of the 5G core network operation, for the input operation influencing the service, the input operation and the scheduled operation are subjected to priority ranking, conflict detection is carried out on an operation window according to a ranking result and a coverage area and/or a bearing service of an operation network element contained in the operation requirement, then scheduling processing is carried out according to a conflict detection result, and the condition that no area and/or service conflict exists in the same operation window is ensured while scheduling is carried out according to the operation priority ranking. Therefore, the scheme of the invention not only improves scheduling efficiency, but also reduces conflicts among operations while realizing automatic scheduling of operations.

The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the embodiments of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a flowchart illustrating a scheduling method for 5G core network operation according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a scheduling method for 5G core network operation according to another embodiment of the present invention;

FIG. 3 is a diagram illustrating a collision detection sub-flow in step S230;

fig. 4 is a schematic structural diagram illustrating a scheduling apparatus for 5G core network operation according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a computing device provided by an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Fig. 1 shows a flowchart of a scheduling method for 5G core network operation according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:

step S110: an entered operational requirement is received.

A user (system administrator) can enter the operation requirements of various core network operations through a configuration interface.

Step S120: and judging whether the logging operation affects the service according to the operation requirement.

The logging operation is an operation described by the operation requirement.

The operation requirement of each operation contains information reflecting whether the operation is influenced or not, whether the operation influences the service or not is determined by inquiring fields influencing the service or not in the operation requirement, and whether the operation influences the service or not can be determined according to field values, for example, a field value of "true" indicates that the service is influenced, and a field value of "false" indicates that the service is not influenced. For the current operation that is determined to affect the service, step S130 and the subsequent steps are executed to avoid the impact of the current operation on the service.

Step S130: and if so, performing priority ranking on the entry operation and the scheduled operation, and performing conflict detection on an operation window according to a ranking result and a coverage area and/or a bearer service of an operation network element included in the operation requirement to obtain a conflict detection result.

The operation window refers to a time window, for example, each day of the week is an operation window, each operation window has a corresponding priority, and the higher the priority of the operation window is, the higher the execution priority of the operation scheduled to the operation window is.

Specifically, the operations are prioritized, and then a ranking result ranked from high to low according to the execution urgency, that is, the operations ranked in the front need to be executed preferentially, can be obtained; accordingly, based on the location of the entered operation in the ranking result, an operation window for which the entered operation is likely to be ranked can be determined. If the network elements involved in the two operations cover the same area, the two operations have area conflict; if the network elements involved in the two operations bear the same service, the two operations have service conflict, and if the area conflict or the service conflict exists, scheduling cannot be performed. Based on this, whether the operation window with possible scheduling of the logging operation can complete successful scheduling of the logging operation can be detected according to the sequencing result and the coverage area and/or the bearer service of the operation network element included in the operation requirement.

For example, the logging operation is operation n, the sorting result is … … a, n … …, the scheduled operation a ranked before the logging operation n is scheduled to thursday, the scheduled operation before the logging operation is scheduled to thursday, assuming that the priority of the operation window is tuesday, thursday and monday … … in sequence from high to low, the logging operation should start scheduling from thursday at the highest, and in the operation ranked on thursday, if there is a traffic conflict between operation m and logging operation n, it is determined that there is a conflict between the scheduling and thursday, and if there is no conflict between all the operations ranked on monday and logging operation n, it is determined that there is no conflict between the scheduling and monday.

Step S140: presenting the conflict detection result, and performing scheduling processing according to the conflict detection result.

And presenting a conflict detection result to a user, so that the user can clearly determine whether the scheduling is successful or not and correspondingly adjust when the scheduling is unsuccessful, wherein if the conflict does not exist in an operation window with possible scheduling, the scheduling is successful, and otherwise, the scheduling is failed.

And if the conflict detection result shows that the scheduling is successful, scheduling the input operation to the operation window with the highest priority without conflict, and if the conflict detection result shows that the scheduling is failed, scheduling based on the subsequent updating of the operation requirement of the user.

According to the scheduling method for 5G core network operation provided by this embodiment, for an entry operation affecting a service, the entry operation and a scheduled operation are prioritized, a conflict detection is performed on an operation window according to a result of the ranking and a coverage area and/or a bearer service of an operation network element included in the operation requirement, then scheduling processing is performed according to a result of the conflict detection, and it is ensured that no area and/or service conflict exists in the same operation window while scheduling is performed according to the operation priority ranking. Therefore, according to the scheme of the embodiment, the automatic scheduling of the operation is realized, the scheduling efficiency is improved, and the conflict among the operations is reduced.

Fig. 2 is a flowchart illustrating a scheduling method for 5G core network operation according to another embodiment of the present invention. In the present embodiment, a specific scheduling flow will be described in conjunction with module interaction of a computing device executing the solution of the present embodiment. As shown in fig. 2, the method comprises the steps of:

step S210: an entered operational requirement is received.

Wherein, as shown in table 1 below, the operation requirement includes one or more of the following information: operation name information, operation network element information, priority information, expected start date information, expected end date information, expected window number information, information on whether a service is affected or not, operation principal information, and entry time information.

Table 1 operation requirement attribute table

The entry time information is automatically generated by the system, the entry time cannot be updated when the operation requirement is modified, and the system can regenerate the entry time only when the operation requirement is deleted and re-entered. And the logging time information is used as one of the parameters of the priority ranking of the operations, and when the priorities of the operations are the same, the operation with the early logging time has a higher priority than the operation with the late logging time.

Specifically, the entry of the operation requirement can be completed through an operation management module in a configuration management subsystem of the computing device, and in addition, the deletion, the change and the locking of the operation requirement can be completed through the operation management module. Wherein, deleting means implementing the operation requirement deleting function; the change refers to the change of the original operation requirement caused by the requirements of scheme updating and the like, and comprises the change of the attributes of the operation network element, the expected start/end date and/or the influence on the service and the like; and locking means that for the operation that the operation date cannot be changed or needs to be fixed, the operation date is fixed through locking, the locked operation cannot be affected by any other operation, and the main use scenes are the operation of a reported group, the operation of a sent text, the operation within 2 days and the like.

Step S220: judging whether the input operation affects the service according to the operation requirement; if yes, go to step S230; if not, go to step S250.

When a new logged operation requirement is received, a new scheduling requirement exists, the logged operation described by the operation requirement needs to be scheduled, a scheduling algorithm subsystem of the computing device is called to perform scheduling calculation, the scheduling algorithm subsystem further comprises a scheduling algorithm module, an area detection module and a service detection module, wherein the area detection module and the service detection module are specially used for detecting area conflicts and service conflicts, and the rest scheduling algorithms are executed by the scheduling algorithm module.

Specifically, the scheduling algorithm module judges whether the input operation is a service or not by querying a value of a field of "influence on service" in the newly input operation requirement, if so, executes step S230 to avoid causing a conflict, and if not, indicates that the scheduling of the input operation does not have a conflict in any operation window, executes step S250 to perform scheduling directly.

Step S230: and performing priority ranking on the input operation and the scheduled operation, and performing conflict detection on an operation window according to a ranking result and a coverage area and/or a bearer service of an operation network element contained in the operation requirement to obtain a conflict detection result.

Specifically, the scheduling algorithm module performs priority ranking according to the entry operation and the scheduled operation priority information and entry time information, where the priority information and the entry time information may be queried from operation requirements, the operation requirement of the entry operation is the operation requirement newly entered this time, and the operation requirement of the scheduled operation may be queried from a storage management subsystem of the computing device (the same applies hereinafter). And the higher the priority information is, the earlier the priority ranking is, the same the priority information is, the earlier the entry time information is, the earlier the priority ranking is. It should be noted that, since the operation date of the locked operation is fixed and is not affected by any other operation, the operation date may not match the priority ranking, and in order to improve the accuracy of subsequent conflict detection and scheduling, the scheduled operation is defined as an unlocked and scheduled operation (the same also applies hereinafter).

It should be noted that the computing device executing the solution of the present embodiment further includes a storage management subsystem for storing and managing data such as system configuration data, operation-related data, and the like, such as reading, writing, updating, and the like, which includes: 1) interface adaptation module: the bottom interface packaging module is used for uniformly providing management services for storing data to the outside, including reading, writing, updating and the like; 2) a database: base data, system data, etc. are stored, e.g., various tables of the foregoing are stored in the database.

And after the priority ranking of the plurality of operations is obtained, performing conflict detection to determine whether the logging operation can be scheduled successfully. Fig. 3 shows a schematic diagram of the collision detection sub-flow in step S230. As shown in fig. 3, the sub-flow of step S230 includes:

step S331: and positioning the initial operation window of the input operation schedule according to the sequencing result, and determining the initial operation window as a target operation window.

The scheduling algorithm module locates an initial operation window of the scheduling of the logging operation, namely an operation window with the highest priority for scheduling the logging operation, based on the position of the logging operation in the sequencing result and the operation windows with the scheduled operations before and after the position. Preferably, the operation window in which the scheduled operation ranked before the logging operation is located in the ranking result is determined as the starting operation window of the logging operation.

For example, if the scheduled operation before the logging operation is scheduled on thursday in the sorting result, the initial operation window of the logging operation is determined to be thursday.

Step S332: detecting whether the coverage area and/or the bearer service overlap with scheduled operations in the target operation window, if yes, executing step S333; if not, go to step S335.

The scheduling algorithm module is used for detecting the region conflict and the service conflict aiming at the target operation window, and as the scheduled operations in the same operation window generally have no conflict, the current input operation is only required to be detected whether the conflict exists with the scheduled operations in the target window, so that the conflict detection efficiency can be improved. The scheduling algorithm subsystem comprises a region detection module, a service detection module, a scheduling algorithm module and a scheduling algorithm module, wherein the region conflict detection and the service conflict detection can be respectively completed through the region detection module and the service detection module in the scheduling algorithm subsystem; and if the network elements involved in the two operations have the same service, the two operations have service conflict, and if the network elements involved in the two operations do not have the same service, the two operations do not have service conflict.

Specifically, in the process of collision detection, the coverage area and/or the bearer service of the operation network element are/is referred to, a target operation network element of the logging operation and the scheduled operation in the target operation window can be firstly inquired from the operation requirement through the scheduling algorithm module, and then the coverage area and/or the bearer service of the target operation network element can be inquired from the network element information table. The network element information table can be recorded through a network element management module of the configuration management subsystem, and the attribute of the network element can be deleted, updated and the like through the network element management module.

The following table 2 shows a specific network element information table:

table 2 network element information table

And the area detection module and the service detection module perform overlapping judgment on the coverage area and/or the bearer service of the operation network element of the entry operation and the scheduled operation sum in the target operation window, if the coverage area and/or the bearer service overlap, it indicates that a conflict exists, step S333 and subsequent steps are executed to perform detection on the next-stage operation window, and if the coverage area and/or the bearer service overlap, it indicates that a conflict does not exist in the target operation window, it indicates that a conflict does not exist, step S335 is executed, and the conflict detection is completed.

Step S333: judging whether the target operation window is the last-stage operation window, if so, executing step S335; if not, go to step S334.

The operation windows have respective priorities, and the higher the priority of the operation window is, the higher the execution priority of the operation ranked in the operation window is. And the user can configure the window priority through a system configuration module of the configuration management subsystem, and the system configuration module can also realize system basic configuration, such as account configuration, authority configuration and the like. The following table 3 shows the priorities for 7 days a week, respectively:

TABLE 3 Monday to Sunday priorities

Operating window	Monday	Tuesday	Wednesday	Thursday	Friday of week	Saturday	Sunday
								Priority level	3	1	4	2	5	6	7

In table 3 above, the smaller the priority value, the higher the priority.

Specifically, if the target operation window is already the last-level operation window, which indicates that there is a conflict in all possible scheduling operation windows of the logging operation, step S335 is executed, where, in general, the last-level operation window is the operation window with the lowest priority, for example, the day of the week in the table.

Step S334: and determining the operation window of the next priority of the target operation window as a new target operation window, and repeatedly executing the step S332 and the subsequent steps.

Taking the priority order of table 3 as an example, if the current target operation window is tuesday, the target operation window is updated to thursday.

In addition, it should be noted that, when determining the target operation window, the time corresponding to the target operation window is between the desired start date and the desired end date in consideration of the desired start date and the desired end date of the entry operation. Accordingly, in step S331, when positioning the start operation window, in addition to considering the sorting result, it is necessary to ensure that the start operation window is between the expected start date and the expected end date, for example, tuesday is determined as the start operation window according to the sorting result, and after the expected start date of the logging operation is wednesday, it is necessary to postpone backwards according to the priority of the operation window, and adjust the start operation window to thursday, which is satisfied after the expected start date; in step S333, the last operation window is the operation window with the lowest priority in the normal case, but in practice, the last operation window is the operation window with the lowest priority between the expected start date and the expected end date; in the above step S334, when determining a new target operation window, the new target operation window should be ensured to be between the desired start date and the desired end date. The following is illustrated by way of example:

the expected starting date of the input operation is 2020, 8, 5 days (wednesday), the expected ending date is 2020, 8, 7 days (friday), if the starting operation window determined according to the sorting result is tuesday (8, 4 days) and is not between the starting date and the ending date, the operation window is delayed backwards according to the priority of the operation window and is delayed to thursday (8, 6 days), and at the moment, the starting operation window is between the starting date and the ending date, so that the starting operation window can be finally determined to be thursday; if the conflict exists on thursday, determining Monday as a new target operation window, and if Monday is not between Friday and Friday, continuing to delay to the Wednesday; if there is a conflict on wednesday, then friday is determined as the new target operation window, if friday also conflicts, but since friday is the operation window with the lowest priority between the start date and the end date, the detection cannot be continued.

Step S335: and completing the collision detection to obtain a collision detection result.

When all the target operation windows have conflicts (i.e., the determination result in step S333 is the last stage operation window), or when one target operation window is detected to have no conflicts (i.e., no overlap is detected in step S332), it indicates that the conflict detection is complete.

Specifically, if all the target operation windows have conflicts, it indicates that the entry operation cannot smoothly complete scheduling in the target window, and the obtained conflict detection result is conflict details including the operation name of the operation having conflicts with the entry operation and the conflict reason (area conflict and/or business conflict), or may further include the operation window in which the conflict exists.

For example, if the logging operation has a regional conflict, a business conflict, and a business conflict with operation a, operation b, and operation c on the target operation window on wednesday to friday, the following conflict details can be obtained:

on wednesday, there is a regional conflict with operation a;

on thursday, there is a traffic conflict with operation b;

on friday, there is a traffic conflict with operation c.

Otherwise, if one target operation window has no conflict, the scheduling of the input operation in the current target operation window is indicated, and the conflict detection result is obtained and is the successful scheduling.

Through the steps S331 to S335, the detection of the area conflict and the service conflict can be realized, and the conflict caused by direct scheduling according to the priority order can be avoided.

Step S240: and presenting the conflict detection result, and performing scheduling processing on the input operation according to the conflict detection result.

Specifically, the conflict detection result is presented through the operation presentation module in the configuration management subsystem, and if the conflict details are presented, the original scheduling is kept unchanged, and the user can negotiate and adjust the operation with a conflict according to the conflict details, and perform the scheduling again after updating the operation requirement according to the embodiment, for example, update the operation network element, the expected start time and/or the expected end time in the operation requirement, and then perform the scheduling again. And if the conflict detection result shows that the scheduling is successful, scheduling the input operation to the current target operation window.

In addition, the operation presentation module can also present the scheduling result after scheduling processing, so that the user can check and confirm the scheduling result.

Step S250: and scheduling the logging operation to an operation window with the highest current priority.

For the logging operation which does not affect the service, scheduling the logging operation to any operation window can not cause conflict, and scheduling the logging operation to the operation window with the highest current priority, wherein the highest current priority refers to the highest priority in the operation windows between the expected start time and the expected end time of the logging operation.

According to the scheduling method for 5G core network operations provided by this embodiment, operations that have not been locked are ranked according to the currently entered operation demand based on the operation priority and the entry time, and are sequentially scheduled according to the operation window priority on the premise of ensuring that the operations do not conflict. Therefore, in the embodiment, the comprehensive operation involves automatic scheduling of network element equipment, interfaces, service influence and the like, and meanwhile, cross-region, cross-service and cross-network-element service conflicts are detected, so that the service influence on the user is reduced, and a reasonable and efficient automatic scheduling operation plan is realized.

Fig. 4 is a schematic structural diagram illustrating a scheduling apparatus for 5G core network operation according to an embodiment of the present invention. As shown in fig. 4, the apparatus includes:

an operation management module 410 adapted to receive an entered operation requirement;

the scheduling algorithm module 420 is adapted to judge whether the input operation affects the service according to the operation requirement; if so, carrying out priority ranking on the input operation and the scheduled operation; and scheduling the input operation according to the conflict detection result.

A conflict detection module 430, adapted to perform conflict detection on the operation window according to the sorting result and the coverage area and/or bearer service of the operation network element included in the operation requirement, so as to obtain a conflict detection result;

an operation presenting module 440 adapted to present the collision detection result.

In an optional manner, the operational requirement includes one or more of the following: operation name information, operation network element information, priority information, expected start date information, expected end date information, expected window number information, information on whether a service is affected or not, operation principal information, and entry time information.

In an alternative manner, the collision detection module is further adapted to:

positioning an initial operation window of the input operation schedule according to the sequencing result, and determining the initial operation window as a target operation window;

detecting whether the coverage area and/or the bearer service overlap with scheduled operations in a target operation window, if so, judging whether the target operation window is a last-stage operation window, if not, determining an operation window of a next priority of the target operation window as a new target operation window, and repeatedly executing the step of detecting whether the coverage area and/or the bearer service overlap with the scheduled operations in the target operation window and the subsequent steps;

if the operation windows do not have the overlap or the last level operation window, the conflict detection is finished, and a conflict detection result is obtained.

In an alternative manner, the collision detection module is further adapted to:

if the operation window of the last level is available, a conflict detection result reflecting the details of the conflict is obtained; alternatively, the first and second electrodes may be,

and if the conflict detection result does not overlap, obtaining a conflict detection result with successful scheduling.

In an alternative, the conflict details include an operation name of an operation that has a conflict with the logging operation and a reason for the conflict.

In an alternative form, the scheduling algorithm module is further adapted to:

if the conflict detection result shows that the scheduling is successful, scheduling the input operation to a current target operation window; alternatively, the first and second electrodes may be,

and if the conflict detection result shows that the conflict details exist, keeping the original scheduling unchanged.

In an alternative form, the scheduling algorithm module is further adapted to:

and carrying out priority sequencing according to the input operation and the scheduled operation priority information and the input time information.

The embodiment of the invention provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the scheduling method of the 5G core network operation in any method embodiment.

Fig. 5 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in fig. 5, the computing device may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.

Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508. A communication interface 504 for communicating with network elements of other devices, such as clients or other servers. The processor 502 is configured to execute the program 510, and may specifically execute relevant steps in the scheduling method embodiment for 5G core network operation of the computing device.

In particular, program 510 may include program code that includes computer operating instructions.

The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 510 may specifically be used to cause the processor 502 to perform the following operations:

receiving an input operation requirement;

In an alternative, the program 510 further causes the processor 502 to:

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of embodiments of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best modes of embodiments of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. Embodiments of the invention may also be implemented as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing embodiments of the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

Claims

1. A scheduling method for operation of a 5G core network comprises the following steps:

receiving an input operation requirement;

2. The method of claim 1, wherein the operational requirement comprises one or more of the following: operation name information, operation network element information, priority information, expected start date information, expected end date information, expected window number information, information on whether a service is affected or not, operation principal information, and entry time information.

3. The method according to claim 1 or 2, wherein the performing collision detection on the operation window according to the sorting result and the coverage area and/or bearer service of the operation network element included in the operation requirement further comprises:

4. The method of claim 3, wherein the collision detection is complete, and obtaining a collision detection result further comprises:

5. The method of claim 4, wherein the conflict details comprise an operation name of an operation that has a conflict with the logged operation and a reason for the conflict.

6. The method of claim 5, wherein the scheduling entry operations according to the conflict detection result further comprises:

7. The method of any of claims 4-6, wherein the prioritizing the logging operations and the scheduled operations further comprises:

8. A scheduling apparatus for 5G core network operation, comprising:

9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the scheduling method of the 5G core network operation in any one of claims 1-7.

10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method of scheduling 5G core network operations of any one of claims 1-7.