CN114826927A - Network capacity expansion method, network capacity expansion device, electronic equipment and storage medium - Google Patents
Network capacity expansion method, network capacity expansion device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a network capacity expansion method, a network capacity expansion device, electronic equipment and a storage medium. The network capacity expansion method comprises the following steps: acquiring multiple service types in an industrial scene and network requirements respectively corresponding to each service type; acquiring the number of access terminals in the industrial scene and network performance data of the industrial scene in a preset period; and judging whether the network of the industrial scene needs to be subjected to capacity expansion processing or not according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data. Therefore, capacity expansion judgment is carried out on the network in the industrial scene in a mode of ensuring that each service type in the same network in the industrial scene reaches a good operation state.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a network capacity expansion method, a network capacity expansion apparatus, an electronic device, and a storage medium in an industrial scenario.
Background
With the development of internet services, the scenes and service types of network applications are continuously enriched, and the problem of network capacity is increasingly highlighted. At present, a 5G network is mainly applied to a ToC scenario, faces public users, and mainly focuses on the number of access terminals and the network throughput in the ToC scenario when considering the calculation and capacity expansion of the network capacity.
However, in an enterprise-oriented ToB industrial scenario, the industrial control usually has a high requirement on the timeliness of the system, and if the response of the system is not timely enough, there is a risk of causing a failure. At this time, only the number of terminals accessing the network and the network throughput are concerned to calculate and expand the network capacity, and even if the capability of the network itself can be ensured, the reliability of each service type individual in an industrial scene cannot be ensured, so that there is a problem that the system timeliness affecting individual service types is affected, and the equipment cannot operate normally.
Disclosure of Invention
The present invention has been made in view of the above problems, and an object thereof is to provide a network capacity expansion method, a network capacity expansion device, an electronic device, and a storage medium, which can ensure the network capacity itself and the reliability of various types of services in an industrial scene.
According to a first aspect of an embodiment of the present invention, a method for expanding a capacity of a network is provided. The network capacity expansion method comprises the following steps: acquiring multiple service types in an industrial scene and network requirements respectively corresponding to each service type; acquiring the number of access terminals in the industrial scene and network performance data of the industrial scene in a preset period; and judging whether the network of the industrial scene needs to be subjected to capacity expansion processing or not according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data.
In some embodiments, the network requirements respectively corresponding to each service type may include a bandwidth requirement and a slice reservation resource requirement of the service type, and the network performance data may include a maximum number of terminals that can be simultaneously activated in the industrial scenario, a network peak throughput, and a total amount of resources that can be reserved for slices.
In some embodiments, determining whether the capacity expansion processing needs to be performed on the network of the industrial scenario according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals, and the network performance data may include determining that the capacity expansion processing needs to be performed on the network of the industrial scenario when at least one of the following conditions is met: the number of the access terminals reaches the maximum number of the terminals, the total bandwidth demand of all the access terminals reaches the network peak throughput, and the total slice reserved resource demand of all the access terminals reaches the total resource amount which can be reserved for the slices.
In some embodiments, obtaining the plurality of service types in the industrial scenario and the network requirements respectively corresponding to each service type may further include: acquiring a service proportion processed by each service type aiming at each access terminal; and for each access terminal, respectively solving the network demand of each access terminal for all service types according to the respective network demand and service proportion of each service type, and adding the network demands of all the access terminals to solve the total network demand.
In some embodiments, the bandwidth demand of each access terminal for all service types may be obtained according to the respective bandwidth demand and service proportion of each service type, and the bandwidth demand of all the access terminals may be added to obtain the total bandwidth demand, and the slice reservation resource demand of each access terminal for all service types may be obtained according to the respective slice reservation resource demand and service proportion of each service type, and the bandwidth demand of all the access terminals may be added to obtain the total slice reservation resource demand.
In some embodiments, the network requirements respectively corresponding to each service type may further include a delay requirement of the service type, and determining whether capacity expansion processing needs to be performed on the network of the industrial scenario may further include: acquiring an end-to-end delay measured value and an end-to-end delay threshold value aiming at each service type; judging whether the degradation amplitude of the end-to-end time delay reaches the threshold value of the end-to-end time delay or not aiming at each service type; and when the end-to-end delay degradation amplitude of at least one service type in the multiple service types reaches an end-to-end delay threshold value, judging that the capacity expansion processing needs to be carried out on the network of the industrial scene.
In some embodiments, the respective end-to-end delay degradation magnitude for each service type may be obtained by dividing a difference between the measured end-to-end delay value for the service type and the delay requirement for the service type by the delay requirement.
In some embodiments, obtaining multiple traffic types in an industrial scenario may include: the method comprises the steps of modeling industrial scene services, and classifying the industrial scene services into control services, data acquisition services, safety services and monitoring services.
According to a second aspect of the embodiments of the present invention, a network capacity expansion device is provided. The disclosed device is provided with: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire a plurality of service types in an industrial scene and network requirements respectively corresponding to each service type; a second obtaining module configured to obtain the number of access terminals in the industrial scene and network performance data of the industrial scene within a preset period; and the capacity expansion judging module is configured to judge whether the capacity expansion processing needs to be carried out on the network of the industrial scene according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data.
In some embodiments, the network requirements corresponding to each service type may include bandwidth requirements and slice reservation resource requirements of the service type, and the network performance data may include a maximum number of terminals that can be activated simultaneously in the industrial scenario, a network peak throughput, and a total amount of resources that can be reserved for a slice.
In some embodiments, the capacity expansion determining module may determine that capacity expansion processing needs to be performed on the network of the industrial scenario when at least one of the following conditions is satisfied: the number of the access terminals reaches the maximum number of the terminals, the total bandwidth demand of all the access terminals reaches the network peak throughput, and the total slice reserved resource demand of all the access terminals reaches the total resource amount which can be reserved for the slices.
In some embodiments, the first obtaining module may obtain, for each access terminal, a service proportion processed for each service type, and, for each of all the access terminals, according to a respective network requirement and the service proportion of each service type, obtain network requirements of each access terminal for all the service types, and add the network requirements of all the access terminals to obtain a total network requirement.
In some embodiments, the bandwidth demand of each access terminal for all service types may be obtained according to the respective bandwidth demand and service proportion of each service type, and the bandwidth demand of all the access terminals may be added to obtain the total bandwidth demand, and the slice reservation resource demand of each access terminal for all service types may be obtained according to the respective slice reservation resource demand and service proportion of each service type, and the bandwidth demand of all the access terminals may be added to obtain the total slice reservation resource demand.
In some embodiments, the network requirements respectively corresponding to each service type may further include a delay requirement of the service type, and the capacity expansion determining module may be further configured to: acquiring an end-to-end delay measured value and an end-to-end delay threshold value aiming at each service type; judging whether the degradation amplitude of the end-to-end time delay reaches the threshold value of the end-to-end time delay or not aiming at each service type; and when the end-to-end delay degradation amplitude of at least one service type in the multiple service types reaches an end-to-end delay threshold value, judging that the capacity expansion processing needs to be carried out on the network of the industrial scene.
In some embodiments, the respective end-to-end delay degradation magnitude for each service type may be obtained by dividing a difference between the measured end-to-end delay value for the service type and the delay requirement for the service type by the delay requirement.
In some embodiments, the first obtaining module may model an industrial scenario service, and classify the industrial scenario service into a control type service, a data collection type service, a security type service, and a monitoring type service.
According to a third aspect of embodiments of the present invention, there is provided an electronic apparatus. The electronic device includes a processor and a memory storing a computer program, and the processor executes the computer program to cause the electronic device to execute the network capacity expansion method according to the first aspect.
According to a fourth aspect of embodiments of the present invention, there is provided a storage medium. The storage medium stores a computer program for causing a computer to execute the network capacity expansion method according to the first aspect.
As will be understood from the following description of the exemplary embodiments, according to the technical solution presented herein, even when the result of determining the network capacity from the perspective of the network (base station) is that capacity expansion is not yet required, but network capacity expansion is required from the perspective of the service in the industrial scene, it is determined that network capacity expansion is required, so that it can be ensured that each service type in the same network in the industrial scene reaches a good operation state.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of any embodiment of the invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present invention will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
FIG. 1 is a schematic flow chart diagram illustrating a network capacity expansion method of an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a capacity expansion decision method according to an embodiment of the present invention.
Fig. 3 is a schematic flow chart illustrating another capacity expansion decision method according to an embodiment of the present invention.
FIG. 4 is a schematic block diagram illustrating a network capacity expansion apparatus of an embodiment of the present invention;
FIG. 5 is a simplified block diagram illustrating an electronic device of an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention have been illustrated in the accompanying drawings, it is to be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather is provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
The terms "include" and variations thereof as used herein are inclusive and open-ended, i.e., "including but not limited to. The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment". Relevant definitions for other terms will be given in the following description.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the embodiments. As used herein, the term "and/or" includes any and all combinations of one or more of the listed terms.
At present, the network capacity expansion method mainly focuses on the number of access terminals and the network throughput. As described above, in the enterprise-oriented ToB industrial scenario, when a network capacity algorithm is performed with attention paid only to the number of terminals accessing a network and the network throughput, only the capability of the network (for example, a base station) itself can be ensured, but the reliability of each service type individual in the industrial scenario cannot be ensured, and thus there is a problem that the system timeliness affecting individual service types is affected, and the device cannot operate normally.
In view of this, embodiments of the present invention provide an improved network capacity calculation and capacity expansion scheme suitable for an industrial scenario. In the scheme, the service types of the industrial scenes are divided, respective network requirements are evaluated according to the characteristics of different service types, and the slice reservation resource requirements and/or the time delay requirements of different service types are comprehensively considered on the basis of the number of terminals accessing the network and the network throughput. For ease of understanding, the following detailed description is made in conjunction with fig. 1 to 3.
Exemplary implementation of network Capacity expansion method
The execution subject of the network capacity expansion method provided by the embodiment of the present invention may be a service network management platform serving as a server, but is not limited thereto, and may also be other devices. The network expansion method provided by the embodiment of the invention can be applied to industrial scenes, for example, can be applied to the scenes of PLC (Power Line Communication ), remote control of an AGV (automatic Guided Vehicle), remote control of a robot, return of video streams, metas and the like. In some embodiments, the network coverage in an industrial scenario is, for example, a range covering a plant.
Fig. 1 is a schematic flow chart illustrating a network capacity expansion method 100 according to an embodiment of the present invention. It is understood that the network expansion method 100 may include additional steps not shown, or may omit some of the steps shown. The scope of the invention is not limited in this respect.
As shown in fig. 1, in step S101, the service network management platform may obtain a plurality of service types in an industrial scene and network requirements respectively corresponding to each service type. The service network management platform can classify and summarize the service types in the industrial scene by modeling the industrial scene services in advance.
In some embodiments, the major traffic types in an industrial scenario may be generalized to control class traffic, data acquisition (data collection) class traffic, security class traffic, and monitoring class traffic (see table 1). The control service is used for remote control of a robot, the data acquisition service is used for acquiring running data of running states of equipment such as a machine tool in a workshop, the safety service is used for safety control of AGV trolley transportation, the requirement on time delay is particularly high, and the monitoring service is used for a security system and the like, monitors an activity scene, generates a video stream and transmits the video stream back.
In some embodiments, the network requirement corresponding to each service type may include a bandwidth requirement and a slice reservation resource requirement of each service type, and may further include a delay requirement of each service type, where the bandwidth requirement, the slice reservation resource requirement, and the delay requirement are represented by Bi, RSi, and Di, respectively. The bandwidth requirements, slice reservation resource requirements, and delay requirements of the control type service, the data acquisition type service, the security type service, and the monitoring type service are shown in table 1. The specific network requirements for each traffic type can be specified based on empirical values obtained in advance through experimental tests.
TABLE 1 network requirements for each service type
| Major traffic type | Bandwidth requirement (Bi) | Time delay requirement (Di) | Slice reservation resource Requirement (RSi) |
| Control class | Bc | Dc | RSc |
| Data mining class | Bm | Dm | RSm |
| Safety classes | Bs | Ds | RSs |
| Monitoring class | Bv | Dv | RSv |
In addition, the access terminal in the industrial scene can model the probability of processing of the access terminal relative to each service type, and obtain the service proportion of each service type in all service types. The functions of each access terminal in an industrial scenario are different, for example, there are an access terminal mainly used for returning a video stream, which has a large traffic proportion for a monitoring service, and an access terminal mainly used for receiving a command from a console, which has a large traffic proportion for a control service. Therefore, the traffic proportion of different access terminals for each traffic type in an industrial scenario is also different. As shown in table 2, for one access terminal, the service proportions of the control service, the data acquisition service, the security service and the monitoring service are respectively expressed by Pc, Pm, Ps and Pv. When n access terminals exist in an industrial scene, the service proportion processed by each access terminal aiming at each service type is respectively obtained aiming at each access terminal.
Table 2 service ratio of each service type for one terminal
| Controlling class traffic proportion | Data acquisition type service proportion | Proportion of security class traffic | Monitoring class traffic proportion |
| Pc | Pm | Ps | Pv |
After acquiring the plurality of service types and the network requirements of each service type, in step S102, the service network management platform may acquire the number of access terminals accessing the industrial scenario within a preset period and the network performance data of the industrial scenario. Then, in step S103, the service network management platform may determine whether to perform capacity expansion processing on the network according to the acquired network requirements of each service type, the number of access terminals, and the network performance data.
Specifically, the service network management platform may obtain the number n of access terminals accessing the industrial scenario and the network performance data of the industrial scenario in units of hours. In some embodiments, in order to calculate network capacity, it is necessary to obtain network performance data representing the network capabilities of an industrial scenario, including a maximum number of terminals that can be simultaneously activated in the industrial scenario, a network peak throughput, and a total amount of resources that can be reserved for a slice. Here, the maximum value of the number of terminals that can be simultaneously activated in the same network in an industrial scenario is denoted by UE _ Max, and the Total amount of resources that can be reserved for a slice is denoted by RS _ Total.
In addition, the network Peak Throughput in the industrial scenario is denoted by Throughput _ Peak, and the network Peak Throughput may adopt corresponding calculated values according to different network configurations, for example, the result may be multiplied by 0.7 according to a 3GPP standard algorithm, that is, the network Peak Throughput is calculated with a redundancy of 30%.
Corresponding to the network performance data representing the network capability, the service network management platform can calculate the network demand of one access terminal for all service types according to the network demand and the service proportion of each service type of the access terminal, and further calculate the n access terminals accessed to the industrial scene respectively, so as to calculate the total network demand of all access terminals accessed to the industrial scene for all service types. For example, the total bandwidth demand of n access terminals in the industrial scenario for all traffic types can be obtained by Σ n (Pc × Bc + Pm × Bm + Ps × Bs + Pv × Bv), and the total slice reservation resource demand of n access terminals in the industrial scenario for all traffic types can be obtained by Σ n (Pc × RSc + Pm × RSm + Ps × RSs + Pv × RSv).
Next, a capacity expansion decision method for deciding whether or not a capacity expansion process needs to be performed on a network in the embodiment of the present invention is described.
Fig. 2 is a schematic flow chart illustrating a capacity expansion decision method 200 according to an embodiment of the present invention. The capacity expansion judgment method 200 correspondingly considers the number of terminals accessing the network, the network throughput, and the slice reservation resource requirements of different service types to judge whether the capacity expansion processing needs to be performed on the network.
As shown in fig. 2, in step S201, the service network management platform may determine whether the number of access terminals reaches the maximum value of the number of terminals. When the number of access terminals reaches the maximum number of terminals (yes), that is, when the following equation (1) is satisfied, the process proceeds to step S204, and it is determined that capacity expansion processing needs to be performed on the network.
∑n＞＝UE_Max (1)
If the determination result in step S201 is "no", that is, if it is determined that the number of access terminals does not reach the maximum number of terminals, the process proceeds to step S202, and it is determined whether the total bandwidth requirement of all the access terminals reaches the network peak throughput. When the total bandwidth demand of all the access terminals reaches the network peak throughput (yes), that is, when the following equation (2) is satisfied, the process proceeds to step S204, and it is determined that capacity expansion processing needs to be performed on the network.
∑n(Pc*Bc+Pm*Bm+Ps*Bs+Pv*Bv)＞＝Throughput_Peak (2)
If the determination result in step S202 is "no", that is, if it is determined that the total bandwidth requirement of all the access terminals does not reach the network peak throughput, the process proceeds to step S203, and it is determined whether the total slice reservation resource requirement of all the access terminals reaches the total resource amount that can be reserved for the slices. When the total slice reservation resource requirement amount of all the access terminals reaches the total resource amount that can be reserved for the slice (yes determination result), that is, when the following equation (3) is satisfied, the process proceeds to step S204, and it is determined that capacity expansion processing needs to be performed on the network.
∑n(Pc*RSc+Pm*RSm+Ps*RSs+Pv*RSv)＞＝RS_Total (3)
If the determination result in step S203 is "no", that is, if it is determined that the total amount of slice reservation resource requirements of all the access terminals does not reach the total amount of resources that can be reserved for slices, the process proceeds to step S205, and it is determined that capacity expansion processing is not required for the network.
In addition, when determining whether to perform capacity expansion processing on the network, on the basis of paying attention to the number of terminals accessing the network and the network throughput and also under the condition of comprehensively considering the slice reservation resource requirements and the time delay requirements of different service types, the capacity expansion determining method 300 of the embodiment of the present invention may be applied, where the capacity expansion determining method 300 determines whether to perform capacity expansion processing on the network by determining whether the end-to-end time delay degradation amplitude of each service type caused by insufficient resources exceeds a specified threshold value on the basis of determining the number of access terminals, the total bandwidth requirements of all access terminals and the total slice reservation resource requirements of all access terminals through steps S201 to S203 in the capacity expansion determining method 200.
Specifically, as shown in fig. 3, in step S301, the service network management platform may obtain an end-to-end delay measured value and an end-to-end delay threshold value for the control service, the data acquisition service, and the security service, respectively. Then, in step S302, it is determined whether the end-to-end delay degradation amplitude reaches an end-to-end delay threshold value for each service type. When the end-to-end delay degradation amplitude of at least one service type of the control service, the data acquisition service and the security service reaches the end-to-end delay threshold value (yes in step S302), that is, when the following mathematical expression (4) is satisfied, the process proceeds to step S303, and it is determined that capacity expansion processing needs to be performed on the network. When the end-to-end delay degradation amplitude of any one of the control service, the data acquisition service and the security service does not reach the end-to-end delay threshold value, the process proceeds to step S304, and it is determined that the capacity expansion processing on the network is not needed.
(Delay_control-Dc)/Dc≥THc％
(Delay_monitor-Dm)/Dm≥THm％
(Delay_security-Ds)/Ds≥THs％ (4)
Wherein, THc, THm, and THs respectively represent end-to-end Delay threshold values of control type service, data acquisition type service, and security type service, and Delay control, Delay _ monitor, and Delay _ security respectively represent end-to-end Delay actual measurement values of control type service, data acquisition type service, and security type service.
In addition, the respective end-to-end delay degradation amplitude of each service type is obtained by dividing the difference between the measured end-to-end delay value of the service type and the delay requirement of the service type by the delay requirement of the service type.
In addition, since the monitoring service mainly based on the video stream mainly has a requirement on the size of the bandwidth (that is, the network is required to have sufficient bandwidth), and the requirement on the time delay performance is not high, in this embodiment, the end-to-end delay degradation amplitude of the monitoring service is not taken as a condition for determining whether capacity expansion processing needs to be performed on the network, but may be incorporated into the determination condition.
Thus, a network capacity expansion scheme according to an embodiment of the present invention is described. In the scheme, even if the network capacity is judged to be not required to be expanded from the perspective of the network (base station), but the network capacity expansion is required from the perspective of the service in the industrial scene, the network capacity expansion is judged to be required, so that each service type in the same network in the industrial scene can be ensured to achieve a good operation state.
Exemplary implementation of network expansion device and electronic device
Corresponding to the method, the embodiment of the invention provides a network capacity expansion device and electronic equipment. The network capacity expansion device and the electronic equipment provided by the embodiment of the invention can be applied to industrial scenes, such as PLC (Power Line Communication) Communication, remote control of an AGV (automatic Guided Vehicle), remote control of a robot, return of video stream, meta universe and other scenes. In some embodiments, the network coverage in an industrial scenario is, for example, a range covering a plant.
Fig. 4 is a schematic block diagram of a network capacity expansion apparatus 400 suitable for implementing an embodiment of the present invention. It should be understood that the network flash apparatus 400 may include additional components than those shown or omit some of the components shown therein, as the present invention is not limited in this respect.
As shown in fig. 4, the network capacity expansion apparatus 400 includes a first obtaining module 410, a second obtaining module 420, and a deciding module 420. The first obtaining module 410 is configured to obtain a plurality of service types in an industrial scenario and network requirements respectively corresponding to each service type. The second obtaining module 420 is configured to obtain the number of access terminals in the industrial scenario and network performance data of the industrial scenario within a preset period. The capacity expansion determining module 430 is configured to determine whether to perform capacity expansion processing on the network of the industrial scenario according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals, and the network performance data.
The first obtaining module 410 may model the industrial scenario service, and classify the industrial scenario service into a control type service, a data collection type service, a security type service, and a monitoring type service.
Here, the network requirements respectively corresponding to each service type may include a bandwidth requirement and a slice reservation resource requirement of the service type, and may further include a delay requirement of the service type. Network performance data may include a maximum number of terminals that can be simultaneously activated in an industrial scenario, network peak throughput, and a total amount of resources that can be reserved for a slice.
In some embodiments, the first obtaining module 410 may obtain, for each access terminal, a service proportion processed by the access terminal for each service type, and, for each of all the access terminals, according to a respective network requirement and the service proportion of each service type, find a network requirement amount of each access terminal for all the service types, and add the network requirement amounts of all the access terminals to find a total network requirement amount.
The method can calculate the bandwidth demand of each access terminal for all service types according to the respective bandwidth demand and service proportion of each service type, and add the bandwidth demand of all access terminals to calculate the total bandwidth demand, and can calculate the slice reservation resource demand of each access terminal for all service types according to the respective slice reservation resource demand and service proportion of each service type, and add the bandwidth demand of all access terminals to calculate the total slice reservation resource demand.
In some embodiments, the capacity expansion decision module 430 may be further configured to: acquiring an end-to-end delay measured value and an end-to-end delay threshold value aiming at each service type; judging whether the end-to-end delay degradation amplitude reaches an end-to-end delay threshold value or not aiming at each service type; and when the end-to-end delay degradation amplitude of at least one of the multiple service types reaches an end-to-end delay threshold value, judging that the capacity expansion processing needs to be carried out on the network of the industrial scene. The respective end-to-end delay degradation magnitude for each traffic type may be determined by dividing the delay requirement by the difference between the measured end-to-end delay value for that traffic type and the delay requirement for that traffic type.
Fig. 5 shows a simplified block diagram of an electronic device 500 suitable for implementing an embodiment of the invention. As shown, the electronic device 500 includes one or more processors 510, one or more memories 520 coupled to the processors 510, and one or more communication modules 540 coupled to the processors 510.
The communication module 540 is used for bidirectional communication. The communication module 540 has a communication interface to facilitate communication. A communication interface may represent any interface necessary to communicate with other network elements.
The computer programs 530 include computer-executable instructions that are executed by the associated processor 510. The computer program 530 may be stored in the ROM 520. Processor 510 may perform any suitable actions and processes by loading computer programs 530 into RAM 520.
Embodiments of the invention may be implemented by means of a computer program 530 such that the electronic device 500 may perform any of the processes of the invention as discussed with reference to fig. 1-3. Embodiments of the present invention may also be implemented by hardware or by a combination of software and hardware.
In some embodiments, the computer program 530 may be tangibly embodied in a computer-readable medium, which may be included in the device 500 (such as in the memory 520) or other storage device accessible by the device 500. The computer program 530 may be loaded from a computer-readable medium into RAM 522 for execution. The computer readable medium may include any type of tangible, non-volatile memory, such as ROM, EPROM, flash memory, a hard disk, a CD, a DVD, etc.
In general, the various exemplary embodiments of this invention may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Certain aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device. While various aspects of the embodiments of the invention may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that the blocks, apparatus, systems, techniques or methods described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof. Examples of hardware devices that may be used to implement embodiments of the present invention include, but are not limited to: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
By way of example, embodiments of the invention may be described in the context of machine-executable instructions, such as those included in program modules, being executed in devices on target real or virtual processors. Generally, program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In various embodiments, the functionality of the program modules may be combined or divided between program modules as described. Machine-executable instructions for program modules may be executed within local or distributed devices. In a distributed facility, program modules may be located in both local and remote memory storage media.
Computer program code for implementing the methods of the present invention may be written in one or more programming languages. These computer program codes may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the computer or other programmable data processing apparatus, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. The program code may execute entirely on the computer, partly on the computer, as a stand-alone software package, partly on the computer and partly on a remote computer or entirely on the remote computer or server.
In the context of the present invention, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus or processor to perform various processes and operations described above. Examples of a carrier include a signal, computer readable medium, and the like.
Examples of signals may include electrical, optical, radio, acoustic, or other forms of propagated signals, such as carrier waves, infrared signals, and the like.
A machine-readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination thereof. More detailed examples of a machine-readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical storage device, a magnetic storage device, or any suitable combination thereof.
Additionally, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking or parallel processing may be beneficial. Likewise, while the above discussion contains certain specific implementation details, this should not be construed as limiting the scope of any invention or claims, but rather as describing particular embodiments that may be directed to particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (18)
1. A method for expanding a network, comprising:
acquiring multiple service types in an industrial scene and network requirements corresponding to each service type respectively;
acquiring the number of access terminals in the industrial scene and network performance data of the industrial scene in a preset period; and
and judging whether the network of the industrial scene needs to be subjected to capacity expansion treatment or not according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data.
2. The method of network capacity expansion according to claim 1,
the network requirements respectively corresponding to each traffic type include the bandwidth requirements and slice reservation resource requirements of that traffic type,
the network performance data includes a maximum number of terminals that can be simultaneously activated in the industrial scenario, a network peak throughput, and a total amount of resources that can be reserved for a slice.
3. The method of network capacity expansion according to claim 2,
judging whether the capacity expansion processing needs to be performed on the network of the industrial scene according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data, wherein the judging that the capacity expansion processing needs to be performed on the network of the industrial scene comprises the following steps of:
the number of the access terminals reaches the maximum value of the number of the terminals,
The total amount of bandwidth requirements for all of the access terminals reaches the network peak throughput, an
The total amount of slice reservation resource requirements of all the access terminals reaches the total amount of resources that can be reserved for slices.
4. The method of network capacity expansion according to claim 3,
the method for acquiring multiple service types in the industrial scene and the network requirements respectively corresponding to each service type further comprises the following steps:
acquiring a service proportion processed by each service type aiming at each access terminal; and
and aiming at each access terminal, respectively solving the network demand of each access terminal aiming at all service types according to the respective network demand and service proportion of each service type, and adding the network demands of all the access terminals to solve the total network demand.
5. The method of network capacity expansion according to claim 4,
calculating the bandwidth demand of each access terminal for all service types according to the respective bandwidth demand and service proportion of each service type for each access terminal, and adding the bandwidth demand of all the access terminals to calculate the total bandwidth demand,
and aiming at each access terminal, respectively solving the slice reserved resource demand of each access terminal aiming at all service types according to the respective slice reserved resource demand and service proportion of each service type, and adding the bandwidth demands of all the access terminals to solve the total slice reserved resource demand.
6. The network capacity expansion method according to any one of claims 2 to 5,
the network requirements corresponding to each traffic type also include the latency requirements for that traffic type,
judging whether the capacity expansion processing needs to be carried out on the network of the industrial scene further comprises the following steps:
acquiring an end-to-end delay measured value and an end-to-end delay threshold value aiming at each service type;
judging whether the degradation amplitude of the end-to-end time delay reaches the threshold value of the end-to-end time delay or not aiming at each service type; and
and when the end-to-end delay degradation amplitude of at least one service type in the multiple service types reaches an end-to-end delay threshold value, judging that the capacity expansion processing needs to be carried out on the network of the industrial scene.
7. The method of network capacity expansion according to claim 6,
the respective end-to-end delay degradation magnitude for each traffic type is determined by dividing the difference between the measured end-to-end delay value for that traffic type and the delay requirement for that traffic type by the delay requirement.
8. The network capacity expansion method according to any one of claims 1 to 5,
obtaining multiple traffic types in an industrial scenario includes:
the method comprises the steps of modeling industrial scene services, and classifying the industrial scene services into control services, data acquisition services, safety services and monitoring services.
9. A network capacity expansion device is provided with:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire a plurality of service types in an industrial scene and network requirements respectively corresponding to each service type;
a second obtaining module configured to obtain the number of access terminals in the industrial scene and network performance data of the industrial scene within a preset period; and
and the capacity expansion judging module is configured to judge whether the capacity expansion processing needs to be performed on the network of the industrial scene according to the acquired network requirements respectively corresponding to each service type, the number of the access terminals and the network performance data.
10. The network capacity expansion device of claim 9,
the network requirements respectively corresponding to each traffic type include the bandwidth requirements and slice reservation resource requirements of that traffic type,
the network performance data includes a maximum number of terminals that can be simultaneously activated in the industrial scenario, a network peak throughput, and a total amount of resources that can be reserved for a slice.
11. The network capacity expansion device of claim 10,
when at least one of the following conditions is met, the capacity expansion judgment module judges that capacity expansion processing needs to be performed on the network of the industrial scene:
the number of the access terminals reaches the maximum value of the number of the terminals,
The total amount of bandwidth requirements for all of the access terminals reaches the network peak throughput, an
The total amount of slice reservation resource requirements of all the access terminals reaches the total amount of resources that can be reserved for slices.
12. The network capacity expansion device of claim 11,
the first obtaining module obtains the service proportion processed by each service type aiming at each access terminal, and according to the respective network requirement and service proportion of each service type aiming at each access terminal, the first obtaining module obtains the network requirement quantity of each access terminal aiming at all service types, and adds the network requirement quantities of all access terminals to obtain the total network requirement quantity.
13. The network capacity expansion device of claim 12,
calculating the bandwidth demand of each access terminal for all service types according to the respective bandwidth demand and service proportion of each service type for each access terminal, and adding the bandwidth demand of all the access terminals to calculate the total bandwidth demand,
and aiming at each access terminal, respectively solving the slice reserved resource demand of each access terminal aiming at all service types according to the respective slice reserved resource demand and service proportion of each service type, and adding the bandwidth demands of all the access terminals to solve the total slice reserved resource demand.
14. The network capacity expansion device of any one of claims 10 to 13,
the network requirements corresponding to each traffic type respectively also include the latency requirements of that traffic type,
the capacity expansion decision module is further configured to:
acquiring an end-to-end delay measured value and an end-to-end delay threshold value aiming at each service type;
judging whether the degradation amplitude of the end-to-end time delay reaches the threshold value of the end-to-end time delay or not aiming at each service type; and
and when the end-to-end delay degradation amplitude of at least one service type in the multiple service types reaches an end-to-end delay threshold value, judging that the capacity expansion processing needs to be carried out on the network of the industrial scene.
15. The network capacity expansion device of claim 14,
the respective end-to-end delay degradation magnitude for each traffic type is determined by dividing the difference between the measured end-to-end delay value for that traffic type and the delay requirement for that traffic type by the delay requirement.
16. The network capacity expansion device of any one of claims 9 to 13,
the first acquisition module models industrial scene services and classifies the industrial scene services into control services, data acquisition services, safety services and monitoring services.
17. An electronic device is characterized by comprising:
a processor; and
a memory, in which the computer program is stored,
executing the computer program by the processor causes the electronic device to execute the network capacity expansion method according to any one of claims 1 to 8.
18. A storage medium readable by a computer, wherein,
a computer program for causing a computer to execute the network capacity expansion method according to any one of claims 1 to 8 is stored.
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