CN116915594A - Private network configuration method, private network configuration device, private network configuration equipment and storage medium - Google Patents

Private network configuration method, private network configuration device, private network configuration equipment and storage medium Download PDF

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Publication number
CN116915594A
CN116915594A CN202211175253.3A CN202211175253A CN116915594A CN 116915594 A CN116915594 A CN 116915594A CN 202211175253 A CN202211175253 A CN 202211175253A CN 116915594 A CN116915594 A CN 116915594A
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China
Prior art keywords
private network
configuration
index
equipment
configuration information
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CN202211175253.3A
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Chinese (zh)
Inventor
董雪
胡玉其
杨志波
周胜
吕雪峰
刘红
李方村
宋上雷
程玉松
王晓鹏
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China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
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Priority to CN202211175253.3A priority Critical patent/CN116915594A/en
Priority to PCT/CN2023/075058 priority patent/WO2024066159A1/en
Publication of CN116915594A publication Critical patent/CN116915594A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/085Retrieval of network configuration; Tracking network configuration history
    • H04L41/0853Retrieval of network configuration; Tracking network configuration history by actively collecting configuration information or by backing up configuration information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The embodiment of the invention relates to the technical field of network communication, and discloses a private network configuration method, a private network configuration device, private network configuration equipment and a computer storage medium, wherein the private network configuration method comprises the following steps: defining a special network service demand index and a unit equipment performance index of the purchasable equipment corresponding to the special network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training to obtain private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention can rapidly and accurately configure the private network integrated device according to the private network user requirements.

Description

Private network configuration method, private network configuration device, private network configuration equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of network communication, in particular to a private network configuration method, a private network configuration device, private network configuration equipment and a computer storage medium.
Background
In the prior art, various challenges of weak infrastructure and long implementation period are faced in private network deployment; and, different scene application requirements differ for the communication device configuration.
The inventors found in practicing embodiments of the present invention that: the existing private network configuration method generally configures private network equipment based on hardware and software parameters of the equipment by means of manual experience, and cannot automatically realize the configuration of private network integrated equipment according to service requirements of private network users in different industries, so that poor user experience of the private network equipment configuration is caused.
Disclosure of Invention
In view of the above problems, the embodiment of the present invention provides a private network configuration method, which is used to solve the problem in the prior art that the accuracy and efficiency of private network scene configuration are low.
According to an aspect of an embodiment of the present invention, there is provided a private network configuration method, including:
defining a special network service demand index and a unit equipment performance index of the purchasable equipment corresponding to the special network integrated device;
modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information;
and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
In an optional manner, the private network configuration model includes a configuration generation network and a configuration discrimination network; the private network configuration model takes the generated configuration information as a constraint condition to meet the requirement index sample of the private network service and the resource consumption cost corresponding to the generated configuration information in the training process; the generation configuration information is output by the configuration generation network aiming at the private network service demand index, and the private network service demand index sample corresponds to the equipment configuration information sample; the configuration discrimination network determines discrimination results of the generated configuration information and the corresponding equipment configuration information samples.
In an alternative, the method further comprises: converting the generated configuration information according to the unit equipment performance index to obtain a configuration equipment performance index corresponding to the generated configuration information; wherein the generated configuration information corresponds to at least one purchasable device; the unit equipment performance index is used for representing private network service capability which can be provided by each purchased equipment;
comparing the private network service demand index with the configuration equipment performance index to obtain the condition that the generated configuration information meets the private network service demand index sample;
and determining the resource consumption cost corresponding to the generated configuration information.
In an alternative, the method further comprises:
determining performance non-superimposable attribute corresponding to the private network service demand index; the performance non-superimposable attribute is used for representing whether the private network service requirement index cannot be met through the superimposed configuration of a plurality of the purchasable devices;
when the corresponding performance non-superimposable attribute exists in the private network service demand index, obtaining a configuration equipment performance index of the corresponding performance non-superimposable attribute of the generated configuration information according to the performance non-superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance non-superimposable attribute with a private network service demand index sample with the performance non-superimposable attribute;
And when the private network service demand index is determined to have no corresponding performance non-superimposable attribute, determining the corresponding performance superimposable attribute according to the performance non-superimposable attribute, obtaining the configuration equipment performance index of the performance superimposable attribute corresponding to the generated configuration information according to the performance superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance superimposable attribute with a private network service demand index sample with the performance superimposable attribute.
In an alternative, the method further comprises:
determining the resource consumption cost of the purchasable equipment corresponding to the generated configuration information under the preset unit equipment consumption cost calculation dimension; the unit equipment consumption cost calculation dimension comprises at least one of unit equipment price, unit equipment space occupation and unit equipment power consumption;
and carrying out weighted summation on the unit equipment consumption costs corresponding to all the purchasable equipment corresponding to the generated configuration information to obtain the resource consumption costs.
In an alternative, the method further comprises:
Determining the generated configuration information change corresponding to the private network service demand index sample according to the demand change information corresponding to the private network service demand index sample and the configuration generation network;
generating configuration information and corresponding equipment configuration information samples according to the configuration discrimination network aiming at the configuration generation network, and determining configuration discrimination result information change of the configuration generation network and the corresponding equipment configuration information samples;
and updating according to the requirement change information corresponding to the private network service requirement index sample, the generation configuration information change, the configuration distinguishing result information change and the resource consumption cost corresponding to the generation configuration information.
In an optional manner, the private network configuration model further includes a private network configuration model based on capacity expansion; the private network configuration model based on capacity expansion takes the generated configuration information as constraint conditions to meet the private network service demand index sample and the resource consumption cost based on capacity expansion in the training process; and the expansion-based resource consumption cost is determined according to the resource consumption cost and the predicted resource consumption cost.
According to another aspect of the embodiment of the present invention, there is provided a private network configuration apparatus, including:
The definition module is used for defining the unit equipment performance index of the purchasable equipment corresponding to the private network service requirement index and the private network integrated device;
the modeling module is used for modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information;
and the configuration module is used for inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
According to another aspect of the embodiment of the present invention, there is provided a private network configuration apparatus, including:
the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform the operations of the private network configuration method of any one of the preceding claims.
According to yet another aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored therein at least one executable instruction for causing a private network configuration apparatus to perform the operations of the private network configuration method of any one of the preceding claims.
The embodiment of the invention defines the unit equipment performance index of the purchasable equipment corresponding to the private network business requirement index and the private network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention trains based on the defined private network service demand index and the unit equipment performance index of the purchasable equipment and the historical equipment configuration information and based on the improved generation countermeasure network algorithm, and obtains the private network configuration model, thereby rapidly and accurately configuring the private network integrated device according to the private network configuration model aiming at private network user demands, and improving the configuration efficiency and user experience of the private network integrated device.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a schematic flow chart of a private network configuration method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a private network integrated device in a private network configuration method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a private network configuration model in a private network configuration method according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a private network configuration method according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a private network configuration device according to an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of a private network configuration device according to 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 present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein.
Prior to proceeding with the description of the embodiments of the present invention, the prior art and the problems that exist with it will be further described:
The private network deployment faces various challenges such as weak infrastructure, long implementation period and the like; different scene application requirements differ for device configuration; aiming at the business demands of private network users in different industries, the fast automatic configuration of the private network integrated equipment is beneficial to occupying competitive advantages.
At present, the existing private network device or system is aimed at a private network scene of a certain industry, such as a 5G communication-based coal-rock dynamic disaster monitoring and early warning visualization system, a special mobile communication system suitable for working in a severe environment of a mine well area, a 5G network-based intelligent logistics park management system and the like, and the system is composed of a plurality of functional modules or functional systems.
The conventional equipment configuration method only aims at consumer electronic equipment such as a computer and a mobile phone, uses a neural network method to automatically calculate indexes of reasonably configured equipment based on hardware load information and/or software use information as equipment related information such as a CPU (central processing unit), an internal hard disk, IO (input/output), screen brightness, delay and the like, and is not suitable for the situation of automatically calculating equipment configuration based on private network business requirements by considering the influence caused by the previous state.
In summary, the existing private network device or system aims at a private network scene of a certain industry, and can not quickly duplicate the service requirements of different scenes. The conventional equipment configuration method is only aimed at consumer electronic equipment, and based on the previous state, the method automatically calculates indexes of reasonably configured equipment by using a neural network method, and cannot be directly applied to the situation that equipment configuration is automatically calculated based on private network service requirements. Therefore, an automatic private network configuration method is urgently needed, and the automatic configuration of the private network integrated device based on the private network business requirements under different scenes can be met.
Fig. 1 is a flowchart of a device configuration method of a private network integrated device according to an embodiment of the present invention, where the method is performed by a computer processing device. The computer processing device may include a cell phone, a notebook computer, etc.
The private network integrated device may be configured as shown in fig. 2, and is configured to provide services for a private network user, and includes a plurality of optional functional modules and a plurality of purchasable devices corresponding to the optional functional modules, where the optional functional modules may be divided into a service module and an infrastructure module, and as shown in fig. 2, the service module may include at least one of an access module, a transmission module, a switching module, a computing application module, a management module, and a networking module, and the infrastructure module may include at least one of a refrigeration module, a fire protection module, a monitoring module, a power module, and a connector module.
The power supply module is used for obtaining power supply input of the private network integrated device through power supply introduction or power supply equipment in a machine room, and supplying power for the private network integrated device. When the private network integrated device is provided with a plurality of racks, the power module can provide multipath output as required to supply power for each rack. According to the power supply condition of the private network machine room, the power supply module can support the introduction of commercial power, UPS access or direct current access as required; when the functional modules in the private network integrated device need different power supply modes, the power supply module can meet the rectification function of alternating current and direct current and the inversion function of direct current and direct current; if the special network service reliability requirement is higher, the power supply module can be provided with a storage battery as required, and when the mains supply of the machine room is connected to power failure, the power output of a standby time in a certain time can be met.
The connector module is used for providing standard connection for interconnection and standard connection for external connection between functional module devices in the private network integrated device and comprises a power connector module and a signal connector module. The power plug connector module is configured according to the dimension of the machine frame, inputs voltage and current output provided by the power module, outputs power input required by each functional module device of the machine frame, and configures an open terminal or a PDU jack and the like according to the power consumption and the power connection terminal condition of each module device of the machine frame. The signal plug connector module is configured according to the dimension of the rack and provides standard optical fiber, network cable and 2M line interfaces to realize data communication connection among all functional module devices in the rack, data communication connection among cross racks of the functional module devices in the rack and external data communication connection of the functional module devices in the rack; and the signal plug connector module is configured according to the external bandwidth and the interface type of each functional module device of the rack as required, and is configured with interfaces such as optical fibers, network cables, 2M wires and the like as required.
The monitoring module is used for monitoring the environment of a machine room and monitoring the functional modules of the infrastructure and at least comprises a movable ring monitoring device and a video monitoring device, wherein the movable ring monitoring device comprises smoke sensor, water immersion, temperature and humidity, battery clamps, door magnet, intelligent power supply, intelligent UPS, intelligent air conditioner and fire control steel cylinder pressure.
The refrigeration module is realized by a configured air conditioning system and a cold and hot air duct in the private network integrated device rack, and is used for providing refrigeration for the private network integrated device and the nearby environment and realizing the temperature controllability. The refrigerating module is configured according to the refrigerating capacity requirements of all the functional module devices of the rack as required.
The fire-fighting module is realized by a configured gas fire-extinguishing device and is used for providing gas fire extinguishment for the private network integrated device and the surrounding environment thereof; the filling amount of the fire-fighting steel cylinder and the selection of the pipeline need to consider the volume of the protection area. And the fire-fighting module is used for carrying out gas fire extinguishment according to the abnormal smoke feeling monitored by the monitoring module or the fire-fighting instruction issued by the management module.
The access module is used for providing network access for users in the private network, and providing wireless and wired access according to service requirements, and comprises 2/4/5G, WLAN, network cables and optical fiber access, and at least comprises BBU, WLAN AC, an access switch and optical fiber access equipment.
And the transmission module is used for realizing the transmission of the private network integrated device to the external remote data and at least comprises SPN, PTN, SDH equipment.
And the switching module is used for realizing the service control forwarding of private network users, at least comprising the control forwarding of data service and voice service, and at least comprising an edge UPF and private network core network equipment.
And the computing application module is used for providing private network service application deployment capability, such as MEP, and at least comprises a server and magnetic array equipment.
And the networking module is used for realizing the internal and external data connection and the corresponding safety isolation of each functional module device and at least comprises a switch, a router and a firewall.
The management module is used for collecting and counting basic data of each functional module device, providing service data display (at least comprising visual display based on functional module devices, service flow, users, running states and position dimensions), and managing and controlling all the functional module devices and rack operation control (at least comprising abnormal alarm, running control of each module and rack operation control (such as opening and closing of a rack door)). The module operation control at least comprises judging the operation state of each module according to the statistical data of each module or the monitoring data of the monitoring module, and performing optimization control, such as closing a proper amount of equipment when the service is idle.
As shown in fig. 1, the private network configuration method includes the following steps:
step 10: and defining the special network service requirement index and the unit equipment performance index of the purchasable equipment corresponding to the special network integrated device.
In one embodiment of the present invention, the private network service requirement index may be predefined asWherein (1)>Is m x 1-dimensional vector, x i The i-th item in the private network service demand index, m is the number of the defined private network service demand indexAmount of the components. Wherein, for numerical private network service requirement indexes such as single user flow, user number, concurrency rate and the like, the corresponding x is that i The value can be directly assigned according to the service requirement value of the private network. For text private network service requirement indexes such as terminal type, access mode, service continuity requirement and the like, the text private network service requirement values are mapped into different values and then assigned to corresponding x i For example mapped to the values 1, 2, 3, 4, respectively.
The private network service requirement index may correspond to at least one of a plurality of indexes supporting a terminal type, an access mode, a coverage, an access limit, a transmission type, a transmission distance, a service type, a data location, a user service application type, a data isolation, a protection level, a slicing requirement and type, a single user flow, a user number, a concurrency rate, a session number, a service continuity requirement, a bearer application number, a rate, a bandwidth, a time delay, a reliability, a security level, jitter, a packet loss rate, a disaster recovery mode, a management maintenance type, a management maintenance capability, a power mode, a power capability, a backup time, a refrigeration mode, a refrigeration capability, an air supply type, a monitoring mode, a monitoring capability, a fire protection type, a fire protection capability, an interface type, a device size, a device weight, a device power source type, and the like. The data location at least comprises a control plane and a user plane data which do not leave the park, and a user plane data which can leave the park. The disaster recovery mode at least comprises a POOL mode, a 1+1 backup and an N+1 backup. The power mode at least comprises a switching power supply, a UPS, a rectifier, an inverter and a power distribution module. The refrigeration mode at least comprises air cooling, water cooling and backboard heat pipes. The air supply type at least comprises front air intake and rear air exhaust, lower air intake and upper air exhaust, left air intake and right air exhaust. The interface type at least comprises an optical fiber port, a network cable port, a 2M port, an air interface and a PDU.
The procurement equipment comprises all alternative equipment of private network integrated devices which form various private network capabilities, and after procurement and configuration are completed, equipment which can provide specific types and quantity of private network service performances. The unit equipment performance index is used for representing equipment performance capability which can be provided by all the purchased equipment after normalization processing.
Device configuration information items defining all purchasable devices in advance Is t×1-dimensional vector,>wherein n is the number of equipment types which can be purchased in the private network integrated device, and t p Device configuration information item quantity for p-th purchasable device,>configuring information items for the q-th item of equipment of the p-th type of purchasable equipment, e.gThe q-th item of device configuration information item indicating the p-th type of purchasable device is "number of power modules", or +.> The q-th item of device configuration information item indicating the p-th type of purchasable device is "2-port 100GE interface daughter card number".
Specifically, according to the private network service requirement index and the equipment configuration information items of all the purchasable equipment, defining the unit equipment performance index of the purchasable equipment corresponding to the private network integrated device as C t×m =(c w,i ) t×mWherein n is the number of equipment types which can be purchased in the private network integrated device, and t p The number of the equipment configuration information items of the p type of purchasable equipment is defined, and m is the number of the defined private network service requirement indexes; />Configuration letter for q-th item of p-th purchasable deviceInnovative item->Ith sub-index x corresponding to private network service demand index i An i-th unit equipment sub-performance index of the unit equipment performance index. The device configuration information item of the (q) th item of the p-th purchasable device>Ith sub-index x without corresponding private network service requirement index i Is +.>The device configuration information item of the (q) th item of the p-th purchasable device>Ith sub-index x with corresponding private network service requirement index i Is +.>Configuration information item for the q-th item of device of the p-th type of purchasable device>Ith sub-index x corresponding to private network service demand index i A unit device sub-performance index value of (c). Wherein for the unit equipment sub-performance index of numerical value like time delay, it is corresponding +.>The assignment can be directly carried out according to the sub-performance values of the unit equipment; for the sub-performance index of the text type unit equipment such as supported terminal type, access mode and the like, the sub-performance of the text type unit equipment is mapped into different values and then assigned to the corresponding +. >For example, SPN and PTN are supported to be respectively mapped to the values 1 and 2.
Step 20: and modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information thereof.
In one embodiment of the present invention, the acquired private network service requirement index and the corresponding device configuration information may be private network device data with complete historical configuration. The improvement of generating the countermeasure network can comprise dividing a private network configuration model into a configuration generation network G and a configuration discrimination network D, wherein the configuration generation network G is used for inputting a private network business requirement index sampleGet generate configuration information->The configuration discrimination network D discriminates whether the true device configuration information sample Y can be discriminated in And generating configuration information Y out
The configuration generating network and the configuration judging network are cooperatively trained in advance, and in the training process, the configuration generating network receives an input private network service demand index sample and outputs corresponding generation configuration information. The configuration information is generated and used for configuring the private network integrated device, so that the private network integrated device meets the requirements of the private network service requirement index sample. Specifically, the configuration information is generated to correspond to the device configuration information item Including the number of devices corresponding to all of the purchasable devices, the number of board card configurations, the number of port configurations, the number of power module configurations, etc. The private network service demand index sample can be obtained after feature extraction and other processing according to historical private network service demand data. The configuration judging network receives a device configuration information sample corresponding to the private network service demand index sample and generates configuration information, and outputs a result of whether the generated configuration information and the device configuration information sample can be distinguished, wherein the device configuration information sample is real device configuration information corresponding to the private network service demand index sample. Wherein, the configuration of the private network service demand index sample pair is carried out according to whether the generated configuration information can meet the requirement of the private network serviceAnd meanwhile, when the configuration discrimination network can distinguish the generated configuration information from the device configuration information sample, the parameters of the configuration discrimination network and the configuration generation network are updated. When the configuration discrimination network cannot distinguish the generated configuration information from the device configuration information sample, determining that the configuration discrimination network and the configuration generation network are trained.
Thus, in yet another embodiment of the present invention, the private network configuration model includes a configuration generation network and a configuration discrimination network; the private network configuration model takes the generated configuration information as a constraint condition to meet the requirement index sample of the private network service and the resource consumption cost corresponding to the generated configuration information in the training process; the generation configuration information is output by the configuration generation network aiming at the private network service demand index, and the private network service demand index sample corresponds to the equipment configuration information sample; the configuration discrimination network determines discrimination results of the generated configuration information and the corresponding equipment configuration information samples.
The generation of the configuration information to meet the private network service requirement index sample refers to that the private network service processing performance provided by the generation of the configuration information is superior to that represented by the private network service requirement index sample. The resource consumption cost is used for representing the resources required to be consumed by the purchasable equipment corresponding to the generated configuration information during purchase and use, and the generated configuration information can be calculated according to the preset unit equipment consumption cost to obtain the resource consumption cost. In particular, the resource consumption costs may include purchasing costs of the purchasable devices, space costs required to be occupied when used after configuration, energy costs consumed, and the like.
Specifically, the training process for generating the private network configuration model based on the improved countermeasure network comprises two parts, wherein one part is a training configuration discrimination network D, and a real device configuration information sample Y is used in And generating configuration informationTraining is carried out until the configuration discrimination network can discriminate the real equipment configuration information sample Y in And generating a configurationInformation Y out The method comprises the steps of carrying out a first treatment on the surface of the The other part is training configuration generation network G, namely inputting special network business demand index sample +.>Obtaining the generated configuration information Y out Until the configuration discrimination network can not discriminate the real device configuration information sample Y in And generating configuration information Y out . Wherein, aiming at the objective function of the configuration generating network and the configuration judging network, the generating configuration information Y output by the configuration generating network is configured out Should be closer to the input +.>Corresponding real equipment configuration information sample Y in Therefore, the configuration generated by the configuration generating network is more accurate, and in order to further promote the private network use experience of a user, the configuration generating can be carried out with the aim of generating the configuration with lower resource consumption cost, and correspondingly, the objective functions of the configuration generating network and the configuration judging network can not distinguish the real equipment configuration information sample Y in And generating configuration information Y out The difference between the two devices enables the equipment configuration of the private network integrated device to consume less resources.
Thus, in one embodiment of the present invention, step 20 comprises:
step 201: converting the generated configuration information according to the unit equipment performance index to obtain a configuration equipment performance index corresponding to the generated configuration information; wherein the generated configuration information corresponds to at least one purchasable device; and the unit equipment performance index is used for representing private network service capability which can be provided by each of the purchasable equipment.
In one embodiment of the present invention, for the private network service requirement indexThe corresponding device configuration information and the generated configuration information obtained by inputting the configuration generation network are expressed as follows: y is Y n×t =(y p,w ) n×t ,/>Wherein n is the number of equipment types which can be purchased in the private network integrated device, and t p The number of information items is configured for the device of the p-th purchasable device. When->In the time-course of which the first and second contact surfaces,configuration information item +.>Is the number of configurations of->When y is p,z =0。
For the private network service demand index sampleGenerating configuration information via configuration generating network GIs +.>
Step 202: and comparing the private network service demand index with the configuration equipment performance index to obtain the meeting condition that the generated configuration information meets the service demand index sample.
In one embodiment of the present invention, the private network service requirement index may be directly compared with the configuration device performance index, and when the configured device performance index is better than the private network service requirement index sample, it is determined that the generated configuration information can meet the private network service requirement index sample, otherwise, it is determined that the generated configuration information cannot meet the private network service requirement index sample.
Further, considering that the existing private network service requirement index is satisfied by overlapping multiple identical or different devices, in the case that the performance index of the configuration device of a single purchasable device in the generated configuration information cannot satisfy the private network service requirement index, a performance non-overlapping attribute and a performance overlapping attribute of the private network service requirement index can be further determined, where the performance overlapping attribute is used to characterize that the private network service requirement index can be satisfied by overlapping configurations of multiple purchasable devices, and correspondingly, the performance non-overlapping attribute is used to characterize that the private network service requirement index cannot be satisfied by overlapping configurations of multiple purchasable devices. Specifically, according to the performance non-superimposable attribute and the performance superimposable attribute, a configuration device performance index of the performance non-superimposable attribute and a configuration device performance index of the performance superimposable attribute corresponding to the generated configuration information are obtained, the configuration device performance index with the performance non-superimposable attribute is compared with a private network service requirement index with the performance non-superimposable attribute, the configuration device performance index with the performance superimposable attribute is compared with the private network service requirement index with the performance superimposable attribute, and the satisfaction condition of the generated configuration information on the private network service requirement index is obtained.
Thus, in one embodiment of the present invention, step 202 further comprises:
step 2021: determining performance non-superimposable attribute corresponding to the private network service demand index; the performance non-superimposable attribute is used for representing whether the private network service requirement index cannot be met through the superimposed configuration of a plurality of the purchasable devices.
In one embodiment of the invention, the special network service requirement index is corresponding to the special network service requirement index Defining performance non-superimposable attribute of private network service requirement index as +.> And the special network service requirement index is an m multiplied by 1 dimension vector and is used for representing whether the special network service requirement index cannot be met through superposition configuration of a plurality of purchasable devices.
Specifically, when a i When=0, the ith sub-index x of the private network service demand index is identified i Having properties not superimposable, i.e. corresponding to said sub-index x i Cannot be satisfied by the superimposed configuration of a plurality of the purchasable devices; when a is i When the number is = ±1, an ith sub-index x of the private network service demand index is identified i Having performance-stackable properties, i.e. corresponding to said sub-indices x i May be satisfied by a superimposed configuration of a plurality of said purchasable devices; wherein a is i =1 i-th sub-index x for identifying the private network traffic demand index i Not better than a certain value, a i = -1 i-th sub-index x for correcting the private network service demand index i Guarantee a i ×x i =-x i Is not better than a certain value.
It should be noted that when a i When=1, the ith sub-index x representing the private network service demand index i The larger the index value is, the better the capability under the index is, and the more the requirement of a user can be met, namely, the size of the sub index value is in direct proportion to the performance capability. For a i The sub-index of the private network traffic demand index of=1 may be, for example, network speed, storage capacity, delivery rate, etc. Correspondingly, when a i When the= -1, the ith sub-index x of the private network service demand index is represented i The smaller the index value is, the better the capability under the index is, and the more can the requirement of the user be met, namely, the magnitude of the sub index value and the quality of the performance capability are in inverse relation. a, a i Sub-indicators of private network service requirement indicators of = -1, such as packet loss rateAlarm rate, time delay, etc.
Corresponding to the private network service demand indexPrivate network service requirement index with performance non-superposition attribute is +.>The special network service requirement index with performance superposition attribute is as followsWherein, hadamard product (also called element-wise product, U.W represents multiplication of corresponding elements of the matrix U and W) representing the matrix >Is an all 1 vector of dimension m x 1, i.e.>abs () represents the absolute value taken by an element of a matrix.
Step 2022: when the corresponding performance non-superimposable attribute exists in the private network service demand index, obtaining the configuration equipment performance index of the corresponding performance non-superimposable attribute of the generated configuration information according to the performance non-superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance non-superimposable attribute with a private network service demand index sample with the performance non-superimposable attribute.
In one embodiment of the present invention, corresponding weighted summation is performed on the performance index of the configuration device corresponding to the generated configuration information according to the performance non-superimposable attribute, so as to obtain the performance index of the configuration device corresponding to the generated configuration information.
It is easy to understand that the performance index of unit equipment of the private network integrated device has the same performance non-superimposable attribute as the service requirement index of the private networkThat is, for the sub-index of the private network service demand index having the performance non-superimposable attribute, the unit device sub-performance index of the unit device performance index of the private network integrated apparatus corresponding to the sub-index of the private network service demand index has the same performance non-superimposable attribute.
Therefore, in determining the performance non-superimposable attribute of the unit equipment performance index of the private network integration apparatus, the following may be adopted: when a is i When=0, the q-th item of device configuration information item identifying the p-th type of purchasable deviceAn ith sub-index x corresponding to the private network service demand index i Is>The performance non-superimposable attribute is provided; when a is i When = ±1, the device configuration information item +.>An ith sub-index x corresponding to the private network service demand index i Is>Has performance superimposable properties, wherein a i The (q) th item of device configuration information item for identifying the (p) th type of purchasable device =1->An ith sub-index x corresponding to the private network service demand index i Is>Better than a certain value, a i = -1 item q device configuration information item for correcting p-th type of purchasable device +.>An ith sub-index x corresponding to the private network service demand index i Is>Ensure-> Is better than a certain value.
For the private network service demand index sampleGenerating configuration information via configuration generating networkIs +.>The performance index of the configuration equipment for generating the performance non-superposition attribute corresponding to the configuration information is +. > Where (p:) represents row p of the matrix, || represents the modulus of the vector.
Comparing the performance index of the configuration equipment with the performance non-superimposable attribute with a private network service requirement index sample with the performance non-superimposable attribute, and generating configuration information to meet the private network service requirement index with the performance non-superimposable attribute when all the performance index values of the configuration equipment with the performance non-superimposable attribute are superior to the private network service requirement index value with the performance non-superimposable attribute. Otherwise, determining that the generated configuration information does not meet the private network service requirement index with the performance non-superimposable attribute.
Specifically, the generation configuration information Y out The sub-performance of a single device with performance non-superimposable attribute should be better than the corresponding private network service requirement indexSub-indicators of (i) a configuration device performance indicator having performance non-superimposable attribute for a single generation configuration information of a p-th type of purchasable device Is superior to the special network service requirement index with performance non-superposition attribute>Namely:
for the following
Wherein, the liquid crystal display device comprises a liquid crystal display device,representing arbitrarily, the E represents that the values belonging to the two vector corresponding elements are larger than or equal to the relation.
Step 2023: and when the private network service demand index is determined to have no corresponding performance non-superimposable attribute, determining the corresponding performance superimposable attribute according to the performance non-superimposable attribute, obtaining the configuration equipment performance index of the performance superimposable attribute corresponding to the generated configuration information according to the performance superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance superimposable attribute with a private network service demand index sample with the performance superimposable attribute.
In one embodiment of the present invention, when the private network service requirement index does not have the corresponding performance non-superimposable attribute, the performance superimposable attribute is further considered, and the performance indexes of the configuration device corresponding to the generated configuration information are weighted and summed according to the performance superimposable attribute according to the method similar to the step 2022, so as to obtain the performance index of the configuration device corresponding to the generated configuration information. Wherein the performance superimposable attribute is a counter event of the performance non-superimposable attribute. Performance superimposable attribute characterization device performance metrics may be met by an overlaid configuration of a plurality of the selectable devices.
For the private network service demand index sampleGenerating configuration information via configuration generating networkIs +.>The performance index of the configuration equipment for generating the performance superposition attribute corresponding to the configuration information is +.>
Comparing the performance index of the configuration equipment with the performance superposition attribute with a private network service demand index sample with the performance superposition attribute, and generating configuration information to meet the private network service demand index with the performance superposition attribute when the performance index value of all the configuration equipment with the performance superposition attribute is better than the private network service demand index value with the performance superposition attribute. Otherwise, determining that the generated configuration information does not meet the private network service requirement index with the performance superposition attribute.
Specifically, the generation configuration information Y out The overall sub-performance of the configuration equipment with the performance superposition attribute is superior to the sub-index corresponding to the service requirement index of the private network, namely the performance index of the configuration equipment with the performance superposition attribute for generating configuration information of the p-th type of purchasable equipmentShould be better than the corresponding private network business requirement index with performance superposition attribute +. >Namely:
for->
Step 203: and determining the resource consumption cost corresponding to the generated configuration information.
In one embodiment of the present invention, the resource consumption cost is used to characterize the resource that needs to be consumed by the purchasable device corresponding to the generated configuration information when the purchasable device is purchased and used, and the generated configuration information can be calculated according to the preset unit device consumption cost, so as to obtain the resource consumption cost. The resource consumption cost may be calculated from multiple dimensions of the purchasable device, such as capital consumption, device space, and energy consumption, where the device space consumption may be determined based on the dimensions of the purchasable device, the required device spacing, etc., and the energy consumption may be determined based on the power consumption, the amount of storage occupied, the bandwidth occupied, etc. of the purchasable device. Specifically, the resource consumption cost is calculated according to the unit equipment price, the unit equipment space occupation and the unit equipment power consumption of the purchasable equipment.
In one embodiment of the present invention, regarding the calculation of the resource consumption cost, step 203 further comprises:
step 2031: determining the resource consumption cost of the purchasable equipment corresponding to the generated configuration information under the preset unit equipment consumption cost calculation dimension; the unit equipment consumption cost calculation dimension comprises at least one of unit equipment price, unit equipment space occupation and unit equipment power consumption.
In one embodiment of the invention, the resource consumption costs may include purchasing costs of the purchasable devices, space costs required to be occupied when used after configuration, energy costs consumed, and the like. Specifically, the unit device price is the cost required to purchase the purchasable device for the smallest purchasing unit. The space occupation of the unit equipment for representing the space of the rack which is required to be occupied by the equipment to be configured in the racking deployment process can be determined according to the size, the racking interval, the gap requirement and the like of the equipment to be configured. The unit equipment power consumption is used for representing the energy consumed by equipment to be configured in operation, such as electric energy, water energy and the like.
Specifically, the unit equipment consumption cost is defined asFor a t×1-dimensional vector, l=1, 2, 3, < >>Configuring information item for corresponding to device>Unit equipment price, unit equipment space occupation, unit equipment power consumption,wherein n is the number of equipment types which can be purchased in the private network integrated device, and t p The number of information items is configured for the device of the p-th purchasable device.
The resource consumption cost of the purchasable equipment corresponding to the generated configuration information under the preset unit equipment consumption cost calculation dimension is Wherein, the liquid crystal display device comprises a liquid crystal display device, when l=1, 2, 3, < > is>Generating configuration information for the private network integrated device>Lower equipment price, space occupation, equipment power consumption.
Step 2032: and carrying out weighted summation on the unit equipment consumption costs corresponding to all the purchasable equipment corresponding to the generated configuration information to obtain the resource consumption costs.
In one embodiment of the present invention, each cost calculation dimension may correspond to a preset dimension weight, and the unit equipment consumption costs are weighted and summed according to the corresponding dimension weight, so as to obtain the resource consumption costs of the purchasable equipment corresponding to the generated configuration information. The configuration weight can be determined according to the service requirement of the private network user and used for representing the importance degree of the private network client on the private network integrated device resource consumption. Therefore, the generation configuration information output by the private network configuration model is realized, the private network user can be saved for purchasing and normally using the private network integrated device while meeting the private network service requirement index, and the user experience is further improved.
Specifically, the preset unit equipment consumption costCorresponding to the weight phi l ,φ l The weight values of the resource consumption costs of price, space occupation and power consumption are respectively l=1, 2 and 3. The resource consumption cost for generating the configuration information is
Step 204: determining the generated configuration information change corresponding to the private network service demand index sample according to the demand change information corresponding to the private network service demand index sample and the configuration generation network; generating configuration information and corresponding equipment configuration information samples according to the configuration discrimination network aiming at the configuration generation network, and determining configuration discrimination result information change of the configuration generation network and the corresponding equipment configuration information samples; and updating according to the requirement change information corresponding to the private network service requirement index sample, the generation configuration information change, the configuration distinguishing result information change and the resource consumption cost corresponding to the generation configuration information.
In an embodiment of the present invention, the requirement change information corresponding to the private network service requirement index sample may be different private network service requirement index samples. And inputting different special network service demand index samples into the configuration generation network to obtain different generation configuration information output by the configuration generation network.
In order for the configuration discrimination network to be able to fail to discriminate between the actual device configuration information sample and the generated configuration information output by the configuration generation network, it is necessary to update parameters of the configuration discrimination network and the configuration generation network according to the configuration discrimination result information change, satisfying objective functions of the configuration generation network and the discrimination network,
Configuring a discrimination network with an objective function of
Configuring a generating network with an objective function of
Where E () represents the mathematical expectation of a random variable.
In order to enable the configuration discrimination network to be unable to discriminate between a real device configuration information sample and generated configuration information output by the configuration generation network, and the resource consumption cost corresponding to the generated configuration information is smaller, parameters of the configuration discrimination network and the configuration generation network need to be updated according to configuration discrimination result information change and resource consumption cost, and a private network configuration model is obtained, and an objective function of the private network configuration model includes:
step 30: and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
In one embodiment of the invention, the private network configuration model obtained by training comprises a configuration generating network obtained by training and a configuration judging network, and private network business requirement indexes of users to be configured are input into the configuration generating network obtained by training to obtain private network equipment configuration information corresponding to the users to be configured.
Specifically, private network service demand index for user to be configured Generating configuration information +.>
In one embodiment of the present invention, the private network configuration model may be structured as shown in fig. 3:
the private network configuration model is based on an improved generation countermeasure network algorithm and consists of two parts, namely a configuration generation network and a configuration discrimination network: configuration generation network G is configured to input private network service demand index samplesGet generate configuration information->The configuration discrimination network D discriminates whether the true device configuration information sample Y can be discriminated in And generating configuration information Y out
The training process of the private network configuration model consists of two parts, namely training the configuration discrimination network D and using a real equipment configuration information sample Y in And generating configuration information Y out Training is carried out until the configuration discrimination network can discriminate the real equipment configuration information sample Y in And generating configuration information Y out The method comprises the steps of carrying out a first treatment on the surface of the The other is training configuration generation network G, namely inputting special network business requirement index sampleUpdating parameters of the configuration generating network to obtain the generating configuration information +.>Until the configuration discrimination network can not discriminate the realityDevice configuration information sample Y in And generating configuration information Y out
Configuring a generating network with an objective function of
Configuring a discrimination network with an objective function of
Considering that the performance index of unit equipment of the private network integrated device has the same performance non-superimposable attribute as the service requirement index of the private network, the performance non-superimposable attribute enables the equipment capacity corresponding to the service requirement index of the private network to be incapable of being achieved through the superposition of a plurality of pieces of equipment when the equipment is configured. For special network service demand index sampleGenerating configuration information via configuration generating network>Is +.>And generates configuration information Y out The sub-performance of the single equipment with the performance non-superimposable attribute is superior to the sub-index corresponding to the special network service requirement index, namely the performance index of the configuration equipment with the performance non-superimposable attribute of the single generation configuration information of the p-th type of purchasable equipment>Is superior to the special network service requirement index with performance non-superposition attribute>Namely:
for the following
For special network service demand index sampleGenerating configuration information via configuration generating network>Is +.>And generates configuration information Y out The overall sub-performance of the configuration equipment with the performance superposition attribute is superior to the sub-index corresponding to the service requirement index of the private network, namely the performance index of the configuration equipment with the performance superposition attribute of the generation configuration information of the p-th type of purchasable equipment is ≡ >Should be better than the corresponding private network business requirement index with performance superposition attribute +.>Namely:
for->
Where (p:) represents the p-th row of the matrix, || represents the modulus of the vector, | represents the Hadamard product of the matrix (also called element-wise product, U.W represents the multiplication of the corresponding elements of the matrices U and W),is an all 1 vector of dimension m x 1, i.e.> Representing arbitrarily, the E represents that the value of the corresponding element of the ∈represents that the value is larger than or equal to the relation, and abs () represents that the element of the matrix takes the absolute value.
Considering that different purchasable devices possibly have differences in resources required to be consumed for realizing the same device performance, on the basis of ensuring that the generated configuration information can meet private network service requirement indexes of users, in order to further optimize user experience of private network configuration, a configuration scheme with lower resource consumption cost is provided for the users, and the generated configuration information with the least resource cost required to be consumed for completing configuration can be selected from all the generated configuration information meeting the private network service requirement indexes output by the configuration generation network. The resource consumption cost may be calculated from multiple dimensions of the purchasable device, such as capital consumption, device space, and energy consumption, where the device space consumption may be determined based on the dimensions of the purchasable device, the required device spacing, etc., and the energy consumption may be determined based on the power consumption, the amount of storage occupied, the bandwidth occupied, etc. of the purchasable device. Specifically, the resource consumption cost is calculated according to the unit equipment price, the unit equipment space occupation and the unit equipment power consumption of the purchasable equipment, and the resource consumption value of the private network integrated device is as follows Generating configuration information for the private network integrated device>Lower equipment price, space occupation, equipment power consumption.
Comprehensively considering the resource consumption cost of the private network integrated device and the private network service requirement index as constraint conditions of the private network configuration model, for the private network configuration model, the objective function may include:
for the following
For->
In yet another embodiment of the present invention, it is contemplated that as private network subscriber services further evolve and change, their service requirements may change for the private network-integrated device. If the private network service demand of the private network user may increase on the basis of the original private network service demand, the private network integrated device configured in the foregoing steps needs to be expanded, and correspondingly, the private network integrated device may be integrated correspondingly as the private network user and the private network demand decrease to bring atrophy of the private network service, thereby reducing unnecessary expenditure of the user in configuring the private network integrated device.
Therefore, in order to enable the finally obtained private network equipment configuration information to not only meet the current user demands and the minimum resource consumption, but also achieve the minimum resource consumption in the future when the future user demands change, the embodiment of the invention provides a private network configuration model based on the private network configuration model, wherein the private network configuration model based on the expansion uses the generated configuration information to meet the private network business demand index sample and the resource consumption cost based on the expansion as constraint conditions in the training process, and the sum of the current resource consumption cost and the predicted resource consumption cost is determined as the resource consumption cost based on the expansion.
Specifically, after operation of the private network integrated deviceThe planning period is the end, and the special network service demand index becomesWherein->For the current private network business requirement index, +.>For the growth rate of the current private network business demand index at the end of the planning period, < >>v i Ith sub-index x which is special network service demand index i Growth rate at the end of the planning period, v i Can be positive to indicate positive growth, v i Negative increases may be indicated as negative values.
The predicted resource consumption cost is added to the resource consumption cost to obtain the resource consumption cost based on capacity expansion
The capacity expansion-based resource consumption cost enables the capacity expansion-based private network configuration model to automatically select equipment with lower configuration resource consumption cost, and can obtain more capacity expansion spaces at the same time, so that the capacity expansion-based private network configuration model is suitable for the change of service requirements in the later planning stage.
Similarly, considering the expansion-based resource consumption cost and private network service demand index of the private network integrated device as constraint conditions of the private network configuration model, for the expansion-based private network configuration model, the objective function is that
For the following
For->
In still another embodiment of the present invention, as shown in fig. 4, the configuration process of the private network integration apparatus may include steps P10-P30:
And P10, defining a private network service demand index and performance non-superimposable attributes thereof. The same as in the previous embodiment is not repeated.
And P11, defining equipment configuration information items and unit equipment performance indexes of all the purchasable equipment of the private network integrated device. The same as in the previous embodiment is not repeated.
And P20, acquiring private network service demand index samples of different private network scenes and corresponding real equipment configuration information thereof.
And P21, performing dimension reduction processing on the real equipment configuration information corresponding to the acquired private network service demand index samples of different private network scenes and the unit equipment performance index of the private network integrated device.
Considering that the types of the purchasable devices can reach hundreds, the device configuration information items of the purchasable devices are different, and the acquired special network service requirement indexes are obtainedCorresponding equipment configuration information and generated configuration information Y obtained by inputting configuration generation network n×t =(y p,w ) n×t Matrix can reach thousands of columns, and unit equipment performance index C of private network integrated device t×m =(c w,i ) t×m The matrix may be up to thousands of rows. Therefore, it is necessary to pair Y n×t And C t×m Performing dimension reduction treatment; the corresponding device configuration information after dimension reduction and the generated configuration information obtained by inputting the configuration generation network are +. >Wherein when q is less than or equal to t p When (I)>When q>t p When (I)>t p For the number of equipment configuration information items of the p type of purchasable equipment, namely, each row (each row corresponds to one purchasable equipment) only keeps the configuration number information of all the equipment configuration information items corresponding to the equipment, and the deficiency is compensated by 0; unit equipment performance index of private network integrated device after dimension reductionWherein when q is less than or equal to t p When (I)>When q>t p When (I)>t p And (3) the number of the equipment configuration information items of the p-th type of purchasable equipment, namely, each column (each column corresponds to one purchasable equipment) only keeps the performance index values of all unit equipment corresponding to the equipment, and the number is not more than 0.
P22 private network business requirement index sample of different private network scenesObtaining generation configuration information via configuration generation network G>And the private network configuration model training number is set to 1.
The network structure of the configuration generation network G mainly comprises 5 layers of full-connection layers, and in order to maintain better convergence, a LeakyRelu layer and a batch normalization layer are added, and a Tanh activation function is used in the last full-connection layer, wherein an input z of the Tanh activation function is an output of the last layer (namely, a Dense_5), and the expression is as follows:
the configuration parameters of the configuration generation network G are referred to in table 1 as follows:
Table 1 judges the structural parameters of the configuration generating network G
P23, configuring the generation configuration information outputted by the generation network GSample of real device configuration information after dimension reduction +.>And through the configuration judging network D, judging whether the configuration judging network D can distinguish the configuration judging network D from the configuration judging network D.
The network structure of the configuration discrimination network D mainly comprises 5 full-connection layers, and parameters of each layer can refer to table 2. In order to maintain better convergence, a LeakyRelu layer is added, and a sigmoid activation function is used in the last full connection layer, wherein the input z of the activation function is the output of the upper layer (Dense_10), and the expression is as follows:
/>
table 2 configuration of structural parameters of discrimination network D
In the training process of the configuration discrimination network D, the parameters of the configuration generation network G are required to be fixedThe purpose is that the configuration discrimination network D can accurately identify the real device configuration information sampleThe output tag of (1) identifies the generation configuration +.>The output tag of (2) is 0, so its objective function is
If the configuration discrimination network D can discriminate the generated configuration information outputted by the configuration generation network GSample of real device configuration information after dimension reduction +.>P24 is performed; otherwise, P25 is performed.
And P24, updating parameters of the configuration discrimination network D, and executing P23.
P25, judging the generation configuration information outputted by the configuration generation network GSingle device sub-capability with capability non-superimposable attribute +.> Whether the sub-index is better than the sub-index corresponding to the private network service requirement index>And judges the generation configuration information +.>Configuration device overall sub-capabilities with capability-stackable attributes (+)>Whether the sub-index is better than the sub-index corresponding to the private network service requirement index>Namely judge->
For the following
For->
If the sub-performance of a single device with the performance non-superposition attribute of the generated configuration information output by the configuration generation network G is not superior to the sub-index corresponding to the private network service demand index, or if the overall sub-performance of the configuration device with the performance superposition attribute of the generated configuration information output by the configuration generation network G is not superior to the sub-index corresponding to the private network service demand index, executing P26; otherwise, P27 is performed.
And P26, updating parameters of the configuration generation network G, and executing P25.
P27, configuring the generation configuration information outputted by the generation network GSample of real device configuration information after dimension reduction +.>And through the configuration judging network D, judging whether the configuration judging network D can not distinguish the configuration judging network D from the configuration judging network D.
In the training process of the configuration generation network G, the parameters of the configuration discrimination network D need to be fixed, so that the parameters outputted by the configuration generation network G are determined Is to generate configuration informationSample of real device configuration information after dimension reduction +.>Input into the configuration discrimination network D can not be distinguished; and selecting the generated configuration information with the least resource cost required to be consumed for completing configuration from the generated configuration information output by the configuration generation network; the objective function is therefore:
if the configuration discrimination network D can discriminate the generated configuration information outputted by the configuration generation network GSample of real device configuration information after dimension reduction +.>Then P26 is executed; otherwise, P28 is performed.
And P28, training times of the private network configuration model are increased by 1.
And P29, judging whether the training times of the private network configuration model reach N, if the training times of the private network configuration model do not reach N, executing P24, namely updating parameters of the configuration judging network D, otherwise, executing P210.
The training frequency N of the private network configuration model can be set to 2000, and can be adjusted according to the training result.
P210, selecting the P27 configuration generation network G and the configuration judgment network D as private network configuration models.
And P30, inputting the private network service requirement index of the user to be configured into the configuration generation network G obtained by the P27, and obtaining the type selection and the configuration of the private network integrated device under the requirement.
The embodiment of the invention defines the unit equipment performance index of the purchasable equipment corresponding to the private network business requirement index and the private network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention trains based on the defined private network service demand index and the unit equipment performance index of the purchasable equipment and the historical equipment configuration information and based on the improved generation countermeasure network algorithm, and obtains the private network configuration model, thereby rapidly and accurately configuring the private network integrated device according to the private network configuration model aiming at private network user demands, and improving the configuration efficiency and user experience of the private network integrated device.
Fig. 5 shows a schematic structural diagram of a private network configuration device according to an embodiment of the present invention. As shown in fig. 5, the apparatus 40 includes: definition module 401, modeling module 402, and configuration module 403.
The definition module 401 is configured to define a private network service requirement index and a unit equipment performance index of a purchasable equipment corresponding to the private network integrated device;
The modeling module 402 is configured to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service requirement index and the corresponding device configuration information;
the configuration module 403 is configured to input the private network service requirement index of the user to be configured into the private network configuration model obtained by training, and obtain private network equipment configuration information corresponding to the user to be configured.
The specific operation process of the private network configuration device provided by the embodiment of the invention is the same as that of the foregoing method embodiment, and is not repeated.
The private network configuration device provided by the embodiment of the invention defines the private network service requirement index and the unit equipment performance index of the purchasable equipment corresponding to the private network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention trains based on the defined private network service demand index and the unit equipment performance index of the purchasable equipment and the historical equipment configuration information and based on the improved generation countermeasure network algorithm, and obtains the private network configuration model, thereby rapidly and accurately configuring the private network integrated device according to the private network configuration model aiming at private network user demands, and improving the configuration efficiency and user experience of the private network integrated device.
Fig. 6 is a schematic structural diagram of a private network configuration device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the private network configuration device.
As shown in fig. 6, the private network configuration apparatus may include: a processor 502, a communication interface (Communications Interface) 504, a memory 506, and a communication bus 508.
Wherein: processor 502, communication interface 504, and memory 506 communicate with each other via communication bus 508. A communication interface 504 for communicating with other devices, such as network elements of a client or other server. The processor 502 is configured to execute the program 510, and may specifically perform the relevant steps in the embodiment of the private network configuration method described above.
In particular, program 510 may include program code comprising computer-executable instructions.
The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors comprised by the private network configuration device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 506 for storing a program 510. Memory 506 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 510 may be specifically invoked by processor 502 to cause a private network configuration device to:
defining a special network service demand index and a unit equipment performance index of the purchasable equipment corresponding to the special network integrated device;
modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information;
and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
The specific operation process of the private network configuration device provided by the embodiment of the present invention is the same as that of the foregoing method embodiment, and will not be repeated.
The private network configuration equipment provided by the embodiment of the invention defines the unit equipment performance index of the purchasable equipment corresponding to the private network service demand index and the private network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention trains based on the defined private network service demand index and the unit equipment performance index of the purchasable equipment and the historical equipment configuration information and based on the improved generation countermeasure network algorithm, and obtains the private network configuration model, thereby rapidly and accurately configuring the private network integrated device according to the private network configuration model aiming at private network user demands, and improving the configuration efficiency and user experience of the private network integrated device.
The embodiment of the invention provides a computer readable storage medium, which stores at least one executable instruction, and when the executable instruction runs on private network configuration equipment, the private network configuration equipment executes the private network configuration method in any method embodiment.
The executable instructions may be specifically configured to cause the private network configuration device to:
defining a special network service demand index and a unit equipment performance index of the purchasable equipment corresponding to the special network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
The specific operation process of the executable instructions stored in the computer storage medium provided in the embodiment of the present invention is the same as that of the foregoing method embodiment, and will not be repeated.
The executable instructions stored in the computer storage medium provided by the embodiment of the invention are used for defining the unit equipment performance index of the purchasable equipment corresponding to the private network service requirement index and the private network integrated device; modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information; and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured. The embodiment of the invention trains based on the defined private network service demand index and the unit equipment performance index of the purchasable equipment and the historical equipment configuration information and based on the improved generation countermeasure network algorithm, and obtains the private network configuration model, thereby rapidly and accurately configuring the private network integrated device according to the private network configuration model aiming at private network user demands, and improving the configuration efficiency and user experience of the private network integrated device.
The embodiment of the invention provides a private network configuration device which is used for executing the private network configuration method.
An embodiment of the present invention provides a computer program, where the computer program may be invoked by a processor to cause a private network configuration device to perform the private network configuration method in any of the method embodiments described above.
An embodiment of the present invention provides a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when run on a computer, cause the computer to perform the private network configuration method of any of the method embodiments described above.
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 a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood 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 above 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 construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component, and they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units 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.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims (10)

1. A private network configuration method, the method comprising:
defining a special network service demand index and a unit equipment performance index of the purchasable equipment corresponding to the special network integrated device;
Modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information;
and inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
2. The method of claim 1, wherein the private network configuration model comprises a configuration generation network and a configuration discrimination network; the private network configuration model takes the generated configuration information as a constraint condition to meet the requirement index sample of the private network service and the resource consumption cost corresponding to the generated configuration information in the training process; the generation configuration information is output by the configuration generation network aiming at the private network service demand index, and the private network service demand index sample corresponds to the equipment configuration information sample; the configuration discrimination network determines discrimination results of the generated configuration information and the corresponding equipment configuration information samples.
3. The method according to claim 2, wherein modeling the private network configuration model based on the improved generation countermeasure network algorithm according to the acquired private network service requirement index and the corresponding device configuration information thereof comprises:
Converting the generated configuration information according to the unit equipment performance index to obtain a configuration equipment performance index corresponding to the generated configuration information; wherein the generated configuration information corresponds to at least one purchasable device; the unit equipment performance index is used for representing private network service capability which can be provided by each purchased equipment;
comparing the private network service demand index with the configuration equipment performance index to obtain the condition that the generated configuration information meets the private network service demand index sample;
and determining the resource consumption cost corresponding to the generated configuration information.
4. The method of claim 3, wherein comparing the private network service requirement index with the configuration device performance index to obtain the satisfaction of the generated configuration information satisfying the private network service requirement index sample comprises:
determining performance non-superimposable attribute corresponding to the private network service demand index; the performance non-superimposable attribute is used for representing whether the private network service requirement index cannot be met through the superimposed configuration of a plurality of the purchasable devices;
when the corresponding performance non-superimposable attribute exists in the private network service demand index, obtaining a configuration equipment performance index of the corresponding performance non-superimposable attribute of the generated configuration information according to the performance non-superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance non-superimposable attribute with a private network service demand index sample with the performance non-superimposable attribute;
And when the private network service demand index is determined to have no corresponding performance non-superimposable attribute, determining the corresponding performance superimposable attribute according to the performance non-superimposable attribute, obtaining the configuration equipment performance index of the performance superimposable attribute corresponding to the generated configuration information according to the performance superimposable attribute and the configuration equipment performance index corresponding to the generated configuration information, and comparing the configuration equipment performance index with the performance superimposable attribute with a private network service demand index sample with the performance superimposable attribute.
5. The method of claim 3, wherein modeling the private network configuration model based on the improved generation countermeasure network algorithm according to the acquired private network service requirement index and the corresponding device configuration information thereof comprises:
determining the resource consumption cost of the purchasable equipment corresponding to the generated configuration information under the preset unit equipment consumption cost calculation dimension; the unit equipment consumption cost calculation dimension comprises at least one of unit equipment price, unit equipment space occupation and unit equipment power consumption;
and carrying out weighted summation on the unit equipment consumption costs corresponding to all the purchasable equipment corresponding to the generated configuration information to obtain the resource consumption costs.
6. The method of claim 5, wherein after said weighting and summing said unit device consumption costs for all of said purchasable devices corresponding to said generated configuration information to obtain said resource consumption cost, comprising:
determining the generated configuration information change corresponding to the private network service demand index sample according to the demand change information corresponding to the private network service demand index sample and the configuration generation network;
generating configuration information and corresponding equipment configuration information samples according to the configuration discrimination network aiming at the configuration generation network, and determining configuration discrimination result information change of the configuration generation network and the corresponding equipment configuration information samples;
and updating according to the requirement change information corresponding to the private network service requirement index sample, the generation configuration information change, the configuration distinguishing result information change and the resource consumption cost corresponding to the generation configuration information.
7. The method of claim 5, wherein the private network configuration model further comprises a capacity expansion-based private network configuration model; the private network configuration model based on capacity expansion takes the generated configuration information as constraint conditions to meet the private network service demand index sample and the resource consumption cost based on capacity expansion in the training process; and the expansion-based resource consumption cost is determined according to the resource consumption cost and the predicted resource consumption cost.
8. A private network configuration apparatus, the apparatus comprising:
the definition module is used for defining the unit equipment performance index of the purchasable equipment corresponding to the private network service requirement index and the private network integrated device;
the modeling module is used for modeling to obtain a private network configuration model based on an improved generation countermeasure network algorithm according to the acquired private network service demand index and the corresponding equipment configuration information;
and the configuration module is used for inputting the private network service requirement index of the user to be configured into the private network configuration model obtained through training, and obtaining private network equipment configuration information corresponding to the user to be configured.
9. A private network configuration apparatus, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform the operations of the private network configuration method according to any one of claims 1-7.
10. A computer readable storage medium, characterized in that at least one executable instruction is stored in the storage medium, which executable instruction, when run on a private network configuration device, causes the private network configuration device to perform the operations of the private network configuration method according to any of claims 1-7.
CN202211175253.3A 2022-09-26 2022-09-26 Private network configuration method, private network configuration device, private network configuration equipment and storage medium Pending CN116915594A (en)

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US11038769B2 (en) * 2017-11-16 2021-06-15 Verizon Patent And Licensing Inc. Method and system for virtual network emulation and self-organizing network control using deep generative models
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