CN113965900B - Method, device, computing equipment and storage medium for dynamically expanding flow resources - Google Patents
Method, device, computing equipment and storage medium for dynamically expanding flow resources Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/20—Transfer of user or subscriber data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
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Abstract
The invention discloses a method, a device, a computing device and a storage medium for dynamically expanding flow resources, wherein the method comprises the following steps: collecting user information of a target user; searching real-time change information and flow type information according to the fields of the user information, and matching a capacity expansion change matrix to determine the target type of the flow to be expanded; calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction; and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing. According to the scheme, the capacity expansion requirement is determined by matching the capacity expansion change matrix, and the capacity expansion amount to be expanded is determined by calculation, so that the capacity expansion can be accurately performed in real time according to the user information of the target user.
Description
Technical Field
The present invention relates to the field of internet technologies, and in particular, to a method, an apparatus, a computing device, and a storage medium for dynamically expanding a traffic resource.
Background
With the advent of the 5G era, the mobile user has an increasingly larger demand for flow in a universal interconnection mode, and the situation of insufficient flow in a package frequently occurs, so that the expansion of the flow package is a main means for solving the problems. Under the large background, each operator forms a plurality of flow management modes to effectively reduce the off-network rate of users. However, the traffic packages of operators are diverse, and it is often difficult for an average user to determine which is the most appropriate and only to resort to marketers.
In the prior art, when a marketer recommends a flow package, the marketer mainly relies on subjective experience to judge, lacks detailed system analysis and data support, particularly supports for specific businesses, cannot sense the real demand of a user, and the flow package recommended to the user is difficult to truly meet the user demand, so that the success rate of changing or upgrading the flow package by a mobile user is low.
Therefore, a solution for purposefully expanding the user data traffic resources is needed to meet the traffic demands of users.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention are directed to a method, apparatus, computing device, and storage medium for dynamically expanding traffic resources that overcomes or at least partially solves the foregoing problems.
According to an aspect of the embodiment of the present invention, there is provided a method for dynamically expanding traffic resources, including:
collecting user information of a target user;
searching real-time change information and flow type information according to the fields of the user information, and matching a capacity expansion change matrix to determine the target type of the flow to be expanded;
calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction;
and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
According to another aspect of the embodiment of the present invention, there is provided an apparatus for dynamically expanding traffic resources, including:
the acquisition module is suitable for acquiring user information of a target user;
the determining module is suitable for searching real-time change information and flow type information according to the fields of the user information and determining the target type of the flow to be expanded by matching with the expansion change matrix;
the computing module is suitable for computing the capacity to be expanded of the flow of the target type according to the user information and generating an expansion instruction;
and the capacity expansion module is suitable for converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
According to yet another aspect of an embodiment of the present invention, there is provided a computing device 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 used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the method for dynamically expanding the flow resource.
According to still another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, where the executable instruction causes a processor to perform operations corresponding to the method for dynamically expanding traffic resources as described above.
According to the method, the device, the computing equipment and the storage medium for dynamically expanding the flow resource, the user information of the target user is collected, the accurate target type with targeted expansion is determined by matching the expansion change matrix, and blind expansion is avoided; then, calculating the capacity to be expanded of the flow of the target type according to the user information to obtain an expansion target with personalized data support, and meeting the requirement of the target user on the flow of the target type; and generating a capacity expansion instruction according to the capacity to be expanded and the target type and converting the capacity expansion instruction into capacity expansion service information, so that the capacity expansion information obtained by the target user is targeted, and targeted capacity expansion can be realized. Therefore, according to the embodiment, the capacity expansion requirement can be determined based on the capacity expansion change matrix, and personalized capacity expansion information is generated to expand the capacity according to the user information, so that the use requirement of the user on the flow resource is met.
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 implementation of the embodiments of the present invention will be more apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 shows a flow chart of a method for dynamically expanding traffic resources provided by an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for dynamically expanding traffic resources according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for dynamically expanding flow resources according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a complete dynamic capacity expansion device for flow resources according to an embodiment of the present invention;
FIG. 5 illustrates a schematic diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the 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. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of a method for dynamically expanding traffic resources according to an embodiment of the present invention. The method may be used in scenarios where traffic resources of a user are expanded, and the method may be performed by any computing device having data processing capabilities. As shown in fig. 1, the method comprises the steps of:
step S110: user information of a target user is collected.
Wherein, the user information may refer to any information reflecting user attributes and traffic, including but not limited to at least one of the following: user status information, user star information, user brand information, user subscription information, user terminal information, key customer attribute information (sensitive complaint users, red list users and/or high value users), user billing information, and user traffic resource usage information.
And the target user can be any user using the flow resource, and optionally, the target user is a user generating higher excessive flow rate cost in history, and the part of users have stronger capacity expansion requirements.
Step S120: and searching real-time change information and flow type information according to the fields of the user information, and matching the expansion change matrix to determine the target type of the flow to be expanded.
Specifically, the real-time change information and the flow type information are screened out from the user information so as to determine the capacity expansion requirement. The real-time change information includes the available traffic of the target user and the real-time change information of the traffic preference, for example, if the target user performs the traffic unsubscribe operation, the available traffic is reduced, and the real-time change information may include traffic subscription change information. And, the traffic type information refers to type information of traffic currently subscribed to by the target user, for example, the user subscribes to the directed traffic with the curiosity, and the traffic type information includes the curiosity.
And, a capacity expansion change rule corresponding to the combination of the various traffic types and the service set is recorded in the capacity expansion change matrix, for example, the element of the first row and the first column of the capacity expansion change matrix identifies the capacity expansion change rule corresponding to the combination of the first traffic type and the first service set; the capacity expansion change rule may reflect the capacity expansion requirement for the corresponding traffic type and service set combination, including whether capacity expansion is required and the target type of capacity expansion. The real-time change information and the flow type information can be matched with corresponding rows and columns in the capacity expansion change matrix, so that the capacity expansion requirement meeting the target user can be determined.
Step S130: and calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction.
After determining the target type, calculating to obtain the capacity to be expanded, namely the capacity to be expanded, according to the use condition of the target user on the flow of the target type reflected in the user information, for example, the use amount of the user history on the flow of the target type, and then generating an expansion instruction containing the target type and the capacity to be expanded.
Step S140: and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
In the invention, the package is finally required to be expanded, and then the expansion instruction is required to be converted into expansion service information according to the convention of the service handling unit so that the service handling unit expands the capacity, for example, the instruction is converted into the following expansion service information: the Tencentrated directional traffic is expanded to 5G. Correspondingly, the capacity expansion service information is capacity expansion information which is determined according to the user information and meets the flow use requirement, so that targeted capacity expansion can be realized.
According to the method for dynamically expanding the flow resource, provided by the embodiment, the user information of the target user is collected, and the accurate target type with targeted expansion is determined by matching the expansion change matrix, so that blind expansion is avoided; then, calculating the capacity to be expanded of the flow of the target type according to the user information to obtain an expansion target with personalized data support, and meeting the requirement of the target user on the flow of the target type; and generating a capacity expansion instruction according to the capacity to be expanded and the target type, converting the capacity expansion instruction into capacity expansion service information to perform capacity expansion processing, so that the capacity expansion information obtained by the target user is targeted, and targeted capacity expansion is realized. Therefore, according to the embodiment, the capacity expansion requirement can be determined based on the capacity expansion change matrix, personalized capacity expansion information is generated according to the user information and provided for the user to expand the capacity, and the use requirement of the user on the flow resource is met.
Fig. 2 is a flowchart of a method for dynamically expanding traffic resources according to another embodiment of the present invention. As shown in fig. 2, the method comprises the steps of:
step S210: combining preset flow types and service sets in pairs to construct a capacity expansion change matrix; the elements in the capacity expansion change matrix are capacity expansion change rules, and the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items.
The preset traffic types comprise traffic types possibly subscribed by all users, and further can comprise regional traffic, directional traffic and/or domestic general traffic; the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items, wherein the preset real-time change items refer to any change item capable of reflecting the available flow and flow preference of a user, and the corresponding characteristic information is a value reflecting the available flow and flow preference of the user, and the possible characteristic information of each preset real-time change item is a plurality of, and each combination result comprises one characteristic information of a plurality of preset real-time change items respectively by arranging and combining the characteristic information of the plurality of preset real-time change items. Table 1 below shows a number of preset real-time alterations and their characteristic information in one specific example.
| User service subscription | Resource usage in a user's suite | User-preferred mobile phone application change |
| 0-no change | 0-remaining unspent | 0-no change |
| 1-unsubscribe | 1-Package resource is exhausted | 1-Aiqi art change Tencent video |
| 2-automatic renewing | …… | 2-Tencent video change preference |
In table 1, the plurality of preset real-time change items include user service order items, user in-sleeve resource usage items and user preferred mobile phone application change items, wherein the characteristic information of the user service order items includes three types of unchanged, unsubscribed and automatic renewing, which are respectively represented by 0,1 and 2, and the characteristic information of the other two preset real-time change items and the representation thereof are the same. A plurality of service sets can be obtained through permutation and combination, for example, if the service set is 000, the three preset real-time change information are unchanged; if the flow type package is 010, the free resources in the corresponding flow type package of the user are used up; 001 indicates that free resources in the corresponding flow type package of the user still exist, but the mobile phone application favored by the user changes the vacation video from the curiosity. Similarly, various complex service scene sets can be expressed through the combination of the characteristic information.
Specifically, when a capacity expansion change matrix is constructed, a preset flow type and a service set are combined in a crossing mode to obtain capacity expansion change rules under different flow types and service scenes, a two-dimensional capacity expansion change matrix of different flow types under different service scenes is established, and each element in the matrix corresponds to different change actions so as to generate a capacity expansion instruction according to corresponding actions. Table 2 below shows the configuration of the capacity expansion change matrix constructed in one specific example.
| Service set Y1 | Service set Y2 | Service set Y3 | |
| Flow type X1 | Capacity expansion change rule P11 | Capacity expansion change rule P12 | Capacity expansion change rule P13 |
| Traffic type X2 | Capacity expansion change rule P21 | Capacity expansion change rule P22 | Capacity expansion change rule P23 |
| Traffic type X3 | Capacity expansion change rule P31 | Capacity expansion change rule P32 | Capacity expansion change rule P33 |
In table 2 above, the location where the traffic type and the service set cross is the corresponding capacity expansion change rule, namely: p (P) ij ＝[X1,X2……Xi] T ·[Y1,Y2……Yj]Where Xi represents the traffic type and Yj represents the traffic set. For example, the traffic type X1 and the service set Y1 correspond to the capacity expansion change rule P11. And (5) arranging the capacity expansion change rules according to rows and columns to obtain a capacity expansion change matrix.
In addition, in the process of constructing the capacity expansion change matrix, the priority of the flow type can be set, the capacity expansion change rules are arranged in the capacity expansion change matrix according to the order of the priority from high to low, the priority is arranged at the upper end of the matrix, and the priority is arranged at the matrix section. In this way, when the plurality of capacity expansion change rules are matched subsequently, the capacity expansion change rules are screened according to the priority order for priority processing.
The meaning of the expansion change rule is illustrated in tables 1 and 2 below: let the flow type X1 be the Aiqi directional flow, when the service set Y1 is 000, it indicates that there is no service change, and the capacity expansion change rule P11 is unchanged; when the service set Y2 is 010, the free resources in the corresponding flow type package of the user are used up, and the rule of P12 is the expansion and curiosity oriented flow; when the service set Y3 is 001, the mobile phone application preferred by the user changes the vacation video from the curiosity, and then the rule of P13 is to expand the vacation video directional flow.
Step S220: user information of a target user is collected.
In general, the target user may be any user that uses traffic resources, but in some alternative embodiments, the target user is determined by: for any user, detecting whether the excessive flow charge generated by the historical month of the user is higher than a preset charge value, if so, sending a dynamic capacity expansion protocol to the terminal of the user, and determining the user as a target user after receiving the protocol signing information returned by the user. Through the optional mode, the determined target user is a user with strong capacity expansion requirement and voluntarily performs dynamic capacity expansion, so that a large number of useless capacity expansion instructions can be prevented from being generated, and the utilization rate of the subsequently generated capacity expansion instructions can be improved.
For the determined target user, user information is collected, and for the information which is changed in real time, timely collection is needed, wherein, especially for the real-time change information, in order to ensure timeliness, the real-time change information can be sent to the message middleware through a message form by a source system of the real-time change information, and then an execution main body of the scheme obtains the real-time change information from the message middleware.
Step S230: and searching real-time change information and flow type information according to the fields of the user information, and matching the expansion change matrix to determine the target type of the flow to be expanded.
Specifically, each information item in the user information has corresponding field information, and real-time change information and flow type information required by matching can be found through the field information; and then, matching the real-time change information with the characteristic information of a plurality of preset real-time change items contained in each service set to obtain a target service set successfully matched, wherein the real-time change information is arranged according to the arrangement sequence of the plurality of preset real-time change items in the service set and converted into corresponding characteristic representations, so that accurate matching can be realized. Taking table 1 as an example, if the feature information of 3 preset real-time change items is arranged in the order from left to right in the service set, the real-time change information of the target user needs to be arranged in the order, if the user service order item is unchanged (denoted as 0), the user in-package resource use item is used up (denoted as 1), and the user preferred mobile phone application change item is made to be better (denoted as 2), the real-time change information of the target user should be finally denoted as 012, but not 120 or 210 or other orders. And matching the flow type information with a preset flow type to obtain a target flow type successfully matched; according to the target service set and the target traffic type, locking target capacity expansion change rules in the capacity expansion change matrix, wherein each capacity expansion change rule in the capacity expansion change matrix corresponds to a unique preset traffic type and service set, and after the target service set and the target traffic type are determined, locking the target capacity expansion change rules of the intersection positions of the rows where the target traffic type is located and the columns where the target traffic is combined from the capacity expansion change matrix.
Further, after matching and locking to the target capacity expansion change rule, determining the target type to which the capacity to be expanded flow belongs includes: judging whether the capacity expansion requirement exists according to the matched target capacity expansion change rule, if so, determining the target type of the capacity expansion flow to be expanded according to the capacity expansion change rule. The target capacity expansion change rule indicates whether the target capacity expansion change rule is a target type to which the capacity expansion flow belongs. For example, in the foregoing example, the rule of P13 is to expand the directional traffic of the vacation video, which indicates that there is an expansion requirement, and expand the directional traffic of the vacation video.
According to the method, based on real-time change information and flow type information in the user information and matching with the capacity expansion change matrix, capacity expansion requirements and target types of capacity expansion are determined, wherein the user information can be based on ensuring to meet personalized requirements of target users, and accuracy of capacity expansion requirements and type determination can be improved by matching with the capacity expansion change matrix.
Step S240: and calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction.
Specifically, the capacity to be expanded of the target type of flow is calculated according to the flow resource use information in the user information, wherein the flow resource use information can reflect the demand of the target user for the target type of flow, and the user consumption information, the historical use amount information, the current month use amount information and the like can be used as the flow resource use information. And if a plurality of target types exist, selecting according to the priority of each flow type, and generating a capacity expansion instruction aiming at the currently selected target type.
In addition to the above traffic resource usage information, other information in the user information that helps to determine the capacity to be expanded may be included in the calculation.
Step S250: and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
In the invention, the package is finally required to be expanded, and then the expansion instruction is required to be converted into expansion service information according to the convention of the service handling unit so that the service handling unit expands the capacity, for example, the instruction is converted into the following expansion service information: the Tencentrated directional traffic is expanded to 5G. Correspondingly, the capacity expansion service information is capacity expansion information which is determined according to the user information and meets the flow use requirement, so that targeted capacity expansion can be realized.
Step S260: instantiating the capacity expansion instruction to obtain instantiation data; the instantiation data comprises a target type parameter, a service identification parameter, a capacity expansion parameter, an effective time parameter and a failure time parameter; after the capacity expansion processing is carried out, when the target user generates a flow ticket, charging processing and resource deduction processing are carried out according to the instantiation data.
Specifically, the capacity expansion instruction is instantiated as an attribute of the user package, and includes five parameters including a target type, a service_id (Service identifier), capacity expansion, effective time and failure time, and multiple package attribute instance data are generated if attribute values are different. When the user generates a flow ticket, the charging preferential module reads the user package attribute example data in real time to carry out preferential and corresponding flow resource deduction.
Further, the service identifier in the flow ticket is obtained, the service identifier is compared with the service identifier parameter in the instantiation data of the target user, and the instantiation data with the service identifier parameter matched is used for charging and resource deduction. The service_id field in the user ticket is compared with the service_id configuration in the user package attribute instance, and if the two match, the ticket uses the expanded package offer.
According to the method for dynamically expanding the flow resources, after a user signs a dynamic expansion protocol, user information including user state, user star, user brand, user ordering information, user terminal information, key client attributes (sensitive complaint users, red list users, high-value users), user bill, user flow resource usage amount and the like is mined and analyzed, whether the flow of the user needs expansion, what type of flow and expansion flow value are required at the moment is judged, a package containing flow type, service_ID, expansion, effective time and dead time attributes is ordered for the user automatically, and an expansion instruction is instantiated as the attribute of the user package; when the flow ticket generated by the user passes through the ticket charging module, the flow ticket is reduced by dynamically associating the instantiation package attribute. Therefore, according to the scheme of the embodiment, the capacity expansion change matrix is formed through the logic relation between different flow types and the user information characteristic value strings, whether the flow of the user needs capacity expansion and what type of flow is expanded can be accurately judged according to the matrix, and capacity expansion service information can be obtained after the capacity expansion is calculated so as to be used for ordering and expanding by the user; and instantiating the capacity expansion instruction as the attribute of the user package, reading the attribute instance data of the user package in real time to give preference and deduct corresponding flow resources, wherein one package can realize the capacity expansion of all personalized flows of the user, and the quantity of the flow packages of various grades is reduced.
Fig. 3 is a schematic structural diagram of a device for dynamically expanding flow resources according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes:
an acquisition module 310 adapted to acquire user information of a target user;
the matching module 320 is adapted to search real-time change information and flow type information according to the fields of the user information, and to match the capacity expansion change matrix to determine the target type to which the capacity to be expanded belongs;
a calculation module 330, adapted to calculate a capacity to be expanded of the flow of the target type according to the user information, and generate a capacity expansion instruction;
the capacity expansion module 340 is adapted to convert the capacity expansion instruction into capacity expansion service information and perform capacity expansion processing.
In an alternative embodiment, the apparatus further comprises: the construction module is suitable for combining preset flow types and service sets in pairs to construct a capacity expansion change matrix;
the elements in the capacity expansion change matrix are capacity expansion change rules, and the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items.
In an alternative embodiment, the matching module is further adapted to:
matching the real-time change information with characteristic information of a plurality of preset real-time change items contained in each service set to obtain a target service set successfully matched; and matching the flow type information with a preset flow type to obtain a successfully matched target flow type;
and locking a target capacity expansion change rule in a capacity expansion change matrix according to the target service set and the target traffic type.
In an alternative embodiment, the matching module is further adapted to:
judging whether the capacity expansion requirement exists according to the matched target capacity expansion change rule, if so, determining the target type of the capacity flow to be expanded according to the capacity expansion change rule.
In an alternative embodiment, the computing module is further adapted to:
and calculating the capacity to be expanded of the flow of the target type according to the flow resource use information in the user information.
In an alternative embodiment, the apparatus further comprises: the instantiation module is suitable for instantiating the capacity expansion instruction to obtain instantiation data; the instantiation data comprises a target type parameter, a service identification parameter, a capacity expansion parameter, an effective time parameter and a failure time parameter;
and the charging module is suitable for carrying out charging processing and resource deduction processing according to the instantiation data when the target user generates a flow ticket after carrying out capacity expansion processing.
In an alternative embodiment, the charging module is further adapted to: and obtaining the service identifier in the flow ticket, comparing the service identifier with the service identifier parameters in the instantiation data of the target user, and carrying out charging processing and resource deduction processing by using the instantiation data with the consistent service identifier parameters.
Fig. 4 is a schematic structural diagram of a complete dynamic capacity expansion device for flow resources according to an embodiment of the present invention. It should be noted that fig. 4 only integrates all the functional modules of the embodiment of fig. 3 and the alternative device to give a complete structural framework to those skilled in the art without substantial distinction from the construction of the embodiment of fig. 3 and the alternative device. As shown in fig. 4, the device is composed of a service handling unit, a policy control unit and a charging preference unit, and the following descriptions are provided respectively:
first, business handling unit: the system comprises a business dynamic capacity expansion protocol signing module, a product ordering module and a data synchronization module.
Wherein, the dynamic capacity expansion protocol signing module: after signing the dynamic capacity expansion protocol, the user becomes the target user.
Wherein, the product ordering module: the package containing three attributes of traffic type, service_ID field and resource amount is automatically ordered for the user, and the three initialization values are respectively-1, -1 and 0.
Wherein, the data synchronization module: and synchronizing the user package attribute value to the charging preferential unit.
And secondly, a strategy control unit: and calculating a strategy used by the user according to the acquired user information and the capacity expansion change matrix, and sending the strategy to a service handling unit.
Wherein, the user information acquisition module (corresponding to the acquisition module in the previous text): user related data including user status, user star, user brand, user subscription information, user terminal information, key customer attributes (sensitive complaint users, red list users, high value users), user bills, user traffic resource usage and the like are collected from the source systems.
Wherein, the capacity expansion strategy change matrix (corresponding to the matching module in the previous text): and configuring policy rules, such as key indexes (user consumption, historical traffic usage, monthly traffic usage and monthly traffic remaining amount) and weights thereof, according to relevant fields in the user information, so as to obtain traffic resources required by the user in the month.
Wherein the policy calculation module (corresponding to the calculation module in the foregoing): and calculating the capacity expansion according to the consumption of the user, the historical usage amount and the usage amount of the current month as references, and sending an optimal capacity expansion strategy instruction acquired by the strategy change matrix to the strategy sending module.
Wherein, the strategy sending module: and converting the capacity expansion strategy instruction into information appointed by the service handling unit (corresponding to part of functions of the capacity expansion module) and sending the information to the service handling unit.
Thirdly, a charging preferential unit: including a subscriber data storage module and a ticket billing module.
Wherein, the user data storage module: user package attribute instance data synchronized from a business transaction unit having the functionality of the instantiation module in the foregoing is stored.
Wherein, the charging preferential module (corresponding to the charging unit in the previous text): and processing the traffic ticket needing preferential calculation. The service_id field in the user ticket is compared with the service_id configuration in the user package attribute instance, and if the two match, the ticket uses the expanded package offer.
The embodiment of the invention provides a non-volatile computer storage medium, which stores at least one executable instruction, and the computer executable instruction can execute the method for dynamically expanding the flow resource in any of the method embodiments.
FIG. 5 illustrates a schematic diagram of a computing device according to an embodiment of the present invention, and the embodiment of the present invention is not limited to a specific implementation of the computing device.
As shown in fig. 5, the computing device 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 network elements of other devices, such as clients or other servers. The processor 502 is configured to execute the program 510, and may specifically perform relevant steps in the above-described method embodiment for dynamically expanding traffic resources of a computing device.
In particular, program 510 may include program code including computer-operating 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 included by the computing 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.
The program 510 may be specifically operable to cause the processor 502 to:
collecting user information of a target user;
searching real-time change information and flow type information according to the fields of the user information, and matching a capacity expansion change matrix to determine the target type of the flow to be expanded;
calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction;
and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
In an alternative manner, the program 410 further causes the processor 502 to:
combining preset flow types and service sets in pairs to construct a capacity expansion change matrix;
the elements in the capacity expansion change matrix are capacity expansion change rules, and the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items.
In an alternative manner, the program 410 further causes the processor 502 to:
matching the real-time change information with characteristic information of a plurality of preset real-time change items contained in each service set to obtain a target service set successfully matched; and matching the flow type information with a preset flow type to obtain a successfully matched target flow type;
and locking a target capacity expansion change rule in a capacity expansion change matrix according to the target service set and the target traffic type.
In an alternative manner, the program 410 further causes the processor 502 to:
judging whether the capacity expansion requirement exists according to the matched target capacity expansion change rule, if so, determining the target type of the capacity flow to be expanded according to the capacity expansion change rule.
In an alternative manner, the program 410 further causes the processor 502 to:
and calculating the capacity to be expanded of the flow of the target type according to the flow resource use information in the user information.
In an alternative manner, the program 410 further causes the processor 502 to:
instantiating the capacity expansion instruction to obtain instantiation data; the instantiation data comprises a target type parameter, a service identification parameter, a capacity expansion parameter, an effective time parameter and a failure time parameter;
after the capacity expansion processing is carried out, when the target user generates a flow ticket, charging processing and resource deduction processing are carried out according to the instantiation data.
In an alternative manner, the program 410 further causes the processor 502 to:
and obtaining the service identifier in the flow ticket, comparing the service identifier with the service identifier parameters in the instantiation data of the target user, and carrying out charging processing and resource deduction processing by using the instantiation data with the consistent service identifier parameters.
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 embodiments 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 embodiments 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., an embodiment of the invention that is claimed, requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the 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, furthermore, 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.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). Embodiments of the present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the embodiments of the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The 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 (8)
1. A method for dynamically expanding traffic resources, comprising:
collecting user information of a target user;
combining preset flow types and service sets in pairs to construct a capacity expansion change matrix; wherein, the elements in the capacity expansion change matrix are capacity expansion change rules, and the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items; searching real-time change information and flow type information according to the fields of the user information, and matching the real-time change information with characteristic information of a plurality of preset real-time change items contained in each service set to obtain a target service set successfully matched; and matching the flow type information with a preset flow type to obtain a successfully matched target flow type; according to the target business set and the target traffic type locking capacity expansion change rule in the target capacity expansion change matrix, determining the target type of the traffic to be expanded;
calculating the capacity to be expanded of the flow of the target type according to the user information, and generating an expansion instruction;
and converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
2. The method of claim 1, wherein the determining the target type to which the capacity-to-be-expanded traffic belongs further comprises:
judging whether the capacity expansion requirement exists according to the matched target capacity expansion change rule, if so, determining the target type of the capacity flow to be expanded according to the capacity expansion change rule.
3. The method according to any one of claims 1-2, wherein said calculating the capacity to be expanded of the traffic of the target type from the user information further comprises:
and calculating the capacity to be expanded of the flow of the target type according to the flow resource use information in the user information.
4. The method of claim 3, wherein after the generating the expansion instruction, the method further comprises:
instantiating the capacity expansion instruction to obtain instantiation data; the instantiation data comprises a target type parameter, a service identification parameter, a capacity expansion parameter, an effective time parameter and a failure time parameter;
after the capacity expansion processing is carried out, when the target user generates a flow ticket, charging processing and resource deduction processing are carried out according to the instantiation data.
5. The method of claim 4, wherein the charging and resource deduction process according to the instantiation data further comprises:
and obtaining the service identifier in the flow ticket, comparing the service identifier with the service identifier parameters in the instantiation data of the target user, and carrying out charging processing and resource deduction processing by using the instantiation data with the consistent service identifier parameters.
6. An apparatus for dynamic capacity expansion of traffic resources, comprising:
the acquisition module is suitable for acquiring user information of a target user;
the determining module is suitable for combining preset flow types and service sets in pairs to construct a capacity expansion change matrix; wherein, the elements in the capacity expansion change matrix are capacity expansion change rules, and the service set is formed by arranging and combining characteristic information of a plurality of preset real-time change items; searching real-time change information and flow type information according to the fields of the user information, and matching the real-time change information with characteristic information of a plurality of preset real-time change items contained in each service set to obtain a target service set successfully matched; and matching the flow type information with a preset flow type to obtain a successfully matched target flow type; according to the target business set and the target traffic type locking capacity expansion change rule in the target capacity expansion change matrix, determining the target type of the traffic to be expanded;
the computing module is suitable for computing the capacity to be expanded of the flow of the target type according to the user information and generating an expansion instruction;
and the capacity expansion module is suitable for converting the capacity expansion instruction into capacity expansion service information and performing capacity expansion processing.
7. A computing device, 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, where the executable instruction causes the processor to perform operations corresponding to the method for dynamically expanding traffic resources according to any one of claims 1 to 5.
8. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method for dynamic capacity expansion of traffic resources of any one of claims 1-5.
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