CN112887225B - Flow rate control method and system based on SP service in EPC network - Google Patents
Flow rate control method and system based on SP service in EPC network Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/25—Flow control; Congestion control with rate being modified by the source upon detecting a change of network conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2416—Real-time traffic
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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
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- 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
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a flow rate control method and a flow rate control system based on SP service in an EPC network, wherein the method comprises the following steps: acquiring service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing; judging whether to generate a flow rate control instruction of a target SP service in a target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service. Therefore, the scheme of the invention can control the flow rate of the SP service based on the SP service perception test data, and reduce the network load while not influencing the perception of the user.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a flow rate control method and system based on SP service in an EPC network.
Background
EPC (Evolved Packet Core) and E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) together form an evolved packet new system representing an entire end-to-end 4G network. The main network element comprises:
MME (Mobility Management Entity ) responsible for mobility management of control plane, user context and mobility state management, allocation of user temporary identity, etc.;
the S-GW (Serving Gateway) is a user anchor point between different access networks in the 3GPP and is responsible for data exchange of a user plane when the user moves between different access technologies;
P-GW (PDN Gateway, data network using packet protocol), generally refers to the external network accessed by the mobile terminal.
With the wide popularization of unlimited packages and the great reduction of traffic charges, the flow rate of the whole network is rapidly increased in an explosive manner, and serious impact is generated on all network elements of each specialty on a traffic path, including wireless, transmission, core network and the Internet. Therefore, ensuring network flow rates is a great concern in ensuring network security within the normal load range of the network. At present, the network load is mainly reduced in the following two ways in the current network:
mode one: carrying out emergency capacity expansion on the equipment capacity, wherein the emergency capacity expansion comprises software capacity expansion and hardware capacity expansion;
Mode two: load balancing among network element POOLs mainly aims at network load imbalance caused by population migration in a large scale during major holidays, for example, the load in a certain SAEGW POOL (network element POOL) is ultrahigh, and the weight can be modified through DNS to shunt the service to SAEGW equipment of other SAEGW POOL.
However, the inventors have found that there are at least the following problems in the existing ways of reducing network load in implementing the embodiments of the present invention: the hardware capacity expansion period is long in the first mode, and burst service peaks cannot be solved; and the investment cost of network construction is increased no matter the capacity of hardware or software is tolerant; the second mode is not suitable for the situation that the overall power saving load is ultrahigh, and meanwhile, the mode needs to comprehensively evaluate the load capacity of the peripheral network elements, such as the load capacities of the SGi firewall and the SBC equipment.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a flow rate control method and system based on SP traffic in EPC networks, which overcomes or at least partially solves the above problems.
According to one aspect of the present invention, there is provided a flow rate control method based on SP service in an EPC network, including:
collecting service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
Performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service.
Optionally, the performing the analog control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data further includes:
controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data;
the estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing further comprises the following steps:
calculating the flow rate of a network element pool to which a target network element belongs after controlling the speed of the target SP service from the real-time speed to a threshold speed in sensing test data; and estimating performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool.
Optionally, after the calculating controls the rate of the target SP service from the real-time rate to the threshold rate in the sensing test data, the flow rate of the network element pool to which the target network element belongs further includes:
the method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
Optionally, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient; the estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool further comprises:
solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the number of the groups of groups,
and obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool.
Optionally, the determining whether to generate the flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool further includes:
judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
Optionally, if the one or more load values are not lower than the corresponding preset load values, the method further includes: and the step of collecting the service data of the SP service and the performance load data of the network element, and determining the target network element aimed at by the flow rate control and the target SP service in the target network element and the subsequent steps according to the service data and the performance load data.
Optionally, after the generating the flow rate control instruction, the method further includes:
judging whether the requirement for issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the flow rate of the target SP service is controlled by the target network element, specifically: if the demand for issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
According to another aspect of the present invention, there is provided a flow rate control system based on SP service in an EPC network, including:
the data acquisition management subsystem is suitable for acquiring service data of the SP service and performance load data of the network element;
the algorithm modeling subsystem is suitable for determining a target network element aimed by flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and the instruction management subsystem is suitable for judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service.
Optionally, the algorithm modeling subsystem further comprises a flow rate control calculation module and a network element load evaluation module, wherein the flow rate control calculation module is adapted to: controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data; calculating the flow rate of a network element pool to which a target network element belongs after controlling the speed of the target SP service from the real-time speed to a threshold speed in sensing test data;
And the network element load assessment module is adapted to: and estimating performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool.
Optionally, the flow rate control calculation module is further adapted to: the method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
Optionally, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient;
the network element load assessment module is further adapted to: solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the number of the groups of groups,
and obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool.
Optionally, the instruction management subsystem further comprises an instruction generation module adapted to: judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
Optionally, the instruction management subsystem is further adapted to: and if the one or more load values are not lower than the corresponding preset load values, triggering the data acquisition management subsystem to execute the steps of acquiring the service data of the SP service and the performance load data of the network element, and determining the target network element for flow rate control and the target SP service in the target network element and the subsequent steps according to the service data and the performance load data.
Optionally, the instruction management subsystem further comprises an instruction issuing module adapted to:
judging whether the requirement for issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
if the demand for issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
According to yet another aspect of the present invention, there is provided 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 execute operations corresponding to the flow rate control method based on SP service in the EPC network.
According to still another aspect of the present invention, there is provided a computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the SP traffic-based flow rate control method in the EPC network as described above.
According to the flow rate control method and the flow rate control system based on the SP service in the EPC network, the target network element and the target SP service in the target network element are determined according to the service data of the SP service and the performance load data of the network element, the target SP service is subjected to simulation control processing according to the threshold rate of the target SP service, and the performance load data of the network element pool to which the target network element belongs after the simulation control processing is estimated; if the performance load data of the network element pool after the simulation control processing can reach the expected effect, a flow rate control instruction aiming at the target SP service is issued to the target network element so as to complete the flow rate control of the target SP service. Therefore, the scheme of the invention can be used for efficiently reducing the load pressure at the time of service peak through analog control processing and subsequent estimated calculation; the flow rate control can be accurately performed aiming at the target SP service of the target network element, the influence on other services or network elements is avoided, and meanwhile, the load capacity of the peripheral network elements does not need to be comprehensively evaluated; and the control is carried out according to the threshold rate in the perception test data, so that the influence on the normal use of the target SP service by a user can be avoided.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily 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 is a flow chart of an embodiment of a SP service based flow control method in an EPC network of the present invention;
FIG. 2 is a flow chart illustrating another embodiment of a SP traffic based flow control method in an EPC network of the present invention;
FIG. 3 is a schematic diagram illustrating an embodiment of an SP service based flow control system in an EPC network of the present invention;
FIG. 4 is a schematic diagram of the flow rate control system based on SP traffic in the EPC network according to an embodiment of the present invention;
Fig. 5 shows a schematic structural diagram of an embodiment of the server 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 flow chart of an embodiment of a flow rate control method based on SP traffic in the EPC network of the present invention. The method is applied to a flow rate control system (see the description of the system embodiments below for specific components) that establishes a communication connection with a network element in the EPC network (mainly referred to as a salgw network element that includes an S-GW and a P-GW). As shown in fig. 1, the method comprises the steps of:
step S110: and collecting service data of the SP service and performance load data of the network element, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data.
Before implementing the embodiments of the present invention, a plurality of concepts referred to herein are described, wherein network elements are functionally partitioned, and herein, network elements refer to SAEGWs including S-GW and P-GW; the network element POOL (SAEGW POOL) is a POOL formed by a plurality of network elements for realizing the same function, and is mainly used for providing service for a region so as to ensure that other network elements in the network element POOL can continue to provide service when one or more network elements can not normally provide service, thereby improving disaster recovery capability; and the equipment corresponding to one S-GW network element and the equipment corresponding to one P-GW network element in the network element pool form a set of network element equipment.
The service data of the SP service refers to data reflecting the service load, for example, the number of users, the flow rate, and the like; the performance load data of the network element refers to resource utilization data of the network element including various SP services, for example, bandwidth utilization.
Specifically, according to service data of the SP service and performance load data of the network elements, determining a target network element to be subjected to flow rate control and a target SP service in the target network element, wherein the network element or the SP service which is required to be subjected to flow rate control is subjected to higher load, and the flow rate control refers to limitation of broadband, for example, if the load of one SP service is higher, the load of the SP service can be reduced by limiting the bandwidth of each user using the SP service, and further the load of equipment is reduced.
Step S120: and performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing.
The real-time rate refers to the current downloading rate of the service using the target SP, and the threshold rate in the perception test data refers to the lowest rate which does not affect the normal use of the service.
Specifically, the simulated flow rate in the process of performing the simulated control on the flow rate is determined according to the real-time rate and the threshold rate, wherein the simulated flow rate is higher than or equal to the threshold rate so as to avoid affecting the normal use of the target SP service by the user, and it is to be noted that the process of performing the simulated control herein is not a real control on the flow rate, but is just an assumption. And after the simulation control processing, as the target SP service passes through the target network element, the load of the target network element and the load of the network element pool to which the target network element belongs are reduced along with the reduction of the load of the target SP service, based on the load, the load change of the network element pool to which the target network element belongs after the simulation control processing can be determined, and further the performance load data of the network element pool can be estimated and obtained, wherein the performance load data reflects the expected resource utilization rate of the network element pool after the simulation control processing.
Step S130: and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, executing the step S140, and if not, ending the method.
Specifically, judging whether the performance load data of the network element pool reaches a preset resource utilization rate standard, if so, judging to generate a flow rate control instruction of a target SP service in the target network element, and executing step S104 to perform flow rate control on the target SP service; if the result does not reach the standard, the result of the simulation control processing is not up to the standard, and the method is ended.
Step S140: and generating a flow rate control instruction and transmitting the flow rate control instruction to a target network element to control the flow rate of the target SP service.
The flow rate control instruction includes a ServCode code (service code) of the target SP service and an analog flow rate of the target SP service.
Specifically, the flow rate control system generates a flow rate control instruction and sends the flow rate control instruction to the target network element, and limits the flow rate of the target SP service to the simulated flow rate through the instruction content, so that the load of the target SP service is reduced, the load of the target network element and the network element pool to which the target network element belongs is further reduced, and meanwhile, the use of the target SP service by a user is not influenced.
For example, if the version of the application a is updated, a large amount of downloading is generated, and the service load is rapidly increased, at this time, the downloading rate can be reduced from 2M to 200KB by the flow rate control command, so that the normal use of the downloading service is not affected, but the downloading time is only slightly longer, and the load of the downloading service can be reduced.
According to the flow rate control method based on the SP service in the EPC network provided by the embodiment, the target network element and the target SP service in the target network element are determined according to the service data of the SP service and the performance load data of the network element, the target SP service is subjected to simulation control processing according to the threshold rate of the target SP service, and the performance load data of the network element pool to which the target network element belongs after the simulation control processing is estimated; if the performance load data of the network element pool after the simulation control processing can reach the expected effect, a flow rate control instruction aiming at the target SP service is issued to the target network element so as to complete the flow rate control of the target SP service. Therefore, according to the scheme of the embodiment, the load pressure during service peak can be effectively reduced through analog control processing and subsequent estimated calculation; the flow rate control can be accurately performed aiming at the target SP service of the target network element, the influence on other services or network elements is avoided, and meanwhile, the load capacity of the peripheral network elements does not need to be comprehensively evaluated; and the control is carried out according to the threshold rate in the perception test data, so that the influence on the normal use of the target SP service by a user can be avoided.
Fig. 2 shows a flow chart of another embodiment of a flow rate control method based on SP traffic in EPC network of the present invention. The method is applied to a flow rate control system which establishes communication connection with network elements (mainly referred to as SAEGW network elements comprising S-GW and P-GW) in an EPC network. As shown in fig. 2, the method comprises the steps of:
step S210: and collecting service data of the SP service and performance load data of the network element, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data.
In an embodiment of the present invention, the data sources that the flow rate control system needs to collect include: a traffic network management performance report, a data network management performance report, an SEQ system service report (representing resources occupied by each SP service), SP service perception test data (representing minimum rate normally used by the SP service), and an SP service SID information table (SP service code for issuing instructions for the service).
And processing the acquired data sources to obtain load indexes presented according to the dimensions of the network element and the SP service, namely obtaining service data of the SP service and performance load data of the network element. Then, determining a target network element and a target SP service in the target network element according to the service data and the performance load data, wherein:
On the one hand, determining a target network element and a target SP service which need to be subjected to flow rate control according to a load, specifically, if performance load data of the network element show that the resource utilization rate of one or more network elements (the proportion of the network elements to the total number of the network elements is smaller than a set value) is higher than a first preset value, and the resource utilization rates of the other network elements are lower than or equal to a second preset value (the first preset value is larger than the second preset value), the resource utilization rate of a few network elements (one or more network elements) is higher than that of most network elements (the other network elements), the flow rate control is required to be performed for the one or more network elements, and the target SP service is selected from the services carried by each one or more network elements; if the performance load data of the network element shows that the resource utilization rate of the network element is higher, the condition that the load is higher is the whole network is indicated, and the condition is not caused by one or more services, and the flow rate control is not needed. It should be noted that, in actual implementation, the first preset value and the second preset value may be flexibly adjusted according to a time period and a holiday, for example, the first preset value in the holiday is higher than the first preset value in the non-holiday, and the first preset value in the non-working time period in the daytime is higher than the first preset value in the working time period.
On the other hand, a target SP service is selected from the target network element according to the priority of the SP service and the service data. Specifically, selecting a target SP service from services in a target network element according to two dimensions of service priority and service load, wherein the service with high service load is preferentially selected as the target SP service, and the service load comprises the number of busy hour service users, busy hour service traffic and the like; and for the service with high guarantee level (i.e. the service which is required to be guaranteed normally by priority), the service is preferentially selected as the target SP service. For example, if the service load of the payment type application is high and the payment type application is an application with a high security level, the payment type application is preferentially selected as the target SP service.
Step S220: and performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing.
Specifically, the rate of the target SP service is controlled from the real-time rate to the threshold rate in the sensing test data, and in this embodiment, the real-time rate is controlled to the threshold rate, so that the load can be reduced as much as possible; calculating the flow rate of a network element pool to which a target network element belongs after the speed of the target SP service is controlled from the real-time speed to a threshold speed in sensing test data, wherein the flow rate of the network element pool to which the target network element belongs is the sum of the flow rates of a plurality of network elements in the network element pool, and the flow rate of each network element is the sum of the flow rates of a plurality of SP services in the network element; and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool, wherein the capacity coefficient refers to the maximum bearing capacity of each set of network element equipment, for example, the interface bandwidth.
Further, the real-time flow rate of the target network element and the reduction value of the flow rate of the target network element after the speed of the target SP service is controlled from the real-time speed to the threshold speed in the sensing test data are subtracted to obtain the flow rate of the target network element, wherein the real-time flow rate of the target network element is the sum of the flow rates of a plurality of services in the target network element. Table 1 below is the basic data of network element Wj:
TABLE 1
| Foundation data detail | Service 1 | Service 2 | Service i | Service n |
| Busy hour service user number Xj | xj Service 1 | xj Service 2 | xj Service i | xj Service n |
| Busy hour traffic flow Tj | tj Service 1 | tj Service 2 | tj Service i | tj Service n |
| Busy hour service download rate Vj | vj Service 1 | vj Service 2 | vj Service i | vj Service n |
| SP service test threshold rate Pj | pj Service 1 | pj Service 2 | pj Service i | pj Service n |
| S service code S | sid Service 1 | sid Service 2 | sid Service i | sid Service n |
The real-time flow rate in the network element Wj is:
the reduction value of the flow rate of the network element Wj is as follows:wherein, h to g are the target SP service h to the target SP service g;
the flow rate of the network element Wj after the flow control is implemented is as follows:
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool. Still taking table 1 as an example, assuming that there are m sets of devices in a certain salgw POOL, after performing the flow control, the flow rate of the salgw POOL is:
Where m is the number of network elements in the pool of network elements.
And then, estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool, wherein the capacity coefficient comprises interface bandwidth and/or forwarding capacity coefficient, and correspondingly, the estimated performance load data of the network element pool comprises: solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or, obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of the plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool. For example, there are m sets of SAEGW devices in each SAEGW POOL, and each set of SAEGW has an interface bandwidth of bj (Gbps) and a forwarding capability of cj (Gbps), so that the interface bandwidth utilization and the forwarding capability utilization of the SAEGW POOL are:
where l to m refer to device l to device m.
Step S230: judging whether to generate a flow rate control instruction of a target SP service in the target network element according to the performance load data of the network element pool, if so, executing step S240; if not, the process goes to step S210.
Specifically, after the performance load data of the network element pool is estimated, judging whether the performance load data meets an expected result, wherein, judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, indicating that an expected effect is achieved through flow rate control, and judging to generate a flow rate control instruction of a target SP service in the target network element so as to control the flow rate of the target SP service. For example, if the estimated bandwidth utilization of the interface is 58% and the preset bandwidth utilization of the interface is 60%, the estimated value is lower than the preset load value, and it is determined that the flow rate control command for the target SP service is generated. If not, it indicates that the flow rate is still unable to reach the expected effect by the flow rate control, and the step S210 and the subsequent steps are skipped, that is, the service data of the SP service and the performance load data of the network element are collected, and the step of the flow rate control for the target network element and the target SP service in the target network element and the subsequent steps are determined according to the service data and the performance load data.
Step S240: generating a flow rate control instruction; judging whether the demand for issuing the flow rate control instruction exists, if yes, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
The flow rate control instruction includes a ServCode code (service code) of the target SP service and an analog flow rate of the target SP service.
Specifically, the flow rate control system generates a flow rate control instruction and sends the flow rate control instruction to the target network element, and limits the flow rate of the target SP service to the simulated flow rate through the instruction content, so that the load of the target SP service is reduced, the load of the target network element and the network element pool to which the target network element belongs is further reduced, and meanwhile, the use of the target SP service by a user is not influenced.
Further, after the flow rate control instruction is generated, judging whether a demand for issuing the flow rate control instruction exists according to the real-time load of the target SP service, wherein the service load is generally changed instantaneously, judging whether the real-time load exceeds a preset value, if so, indicating that the load is still higher, and determining that the demand for issuing exists at the moment; if the demand of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service. Otherwise, if there is no issue demand, cancel the current flow control operation.
In addition, the above embodiment of the present invention may be applied to a scenario in which access to a service of a certain SP is prohibited, where only the bandwidth allocated to the service needs to be set to 0 Mbps.
According to the flow rate control method based on the SP service in the EPC network, which is provided by the embodiment, the flow rate control is carried out on the designated SP service of the designated network element by analyzing the flow rate composition of each SP service of the existing network based on the SP service perception test data, so that the network load is reduced on the premise of not influencing the user service perception, the network resource utilization efficiency is improved, and meanwhile, the peripheral network element is not influenced.
Fig. 3 shows a schematic structural diagram of an embodiment of a flow rate control system based on SP traffic in EPC network according to the present invention. As shown in fig. 3, the apparatus includes:
the data acquisition management subsystem 310 is adapted to acquire service data of the SP service and performance load data of the network element;
an algorithm building subsystem 320 adapted to determine a target network element for which the flow rate control is directed and a target SP service in the target network element based on the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
the instruction management subsystem 330 is adapted to determine whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generate the flow rate control instruction and issue the flow rate control instruction to the target network element to control the flow rate of the target SP service.
In an alternative manner, the algorithm modeling sub-system further comprises a flow rate control calculation module and a network element load assessment module, wherein the flow rate control calculation module is adapted to: controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data; calculating the flow rate of a network element pool to which a target network element belongs after controlling the speed of the target SP service from the real-time speed to a threshold speed in sensing test data;
and the network element load assessment module is adapted to: and estimating performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool.
In an alternative, the flow rate control calculation module is further adapted to: the method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
In an alternative way, the capability coefficients include interface bandwidth and/or forwarding capability coefficients;
The network element load assessment module is further adapted to: solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the number of the groups of groups,
and obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool.
In an alternative form, the instruction management subsystem further comprises an instruction generation module adapted to: judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
In an alternative, the instruction management subsystem is further adapted to: and if the one or more load values are not lower than the corresponding preset load values, triggering the data acquisition management subsystem to execute the steps of acquiring the service data of the SP service and the performance load data of the network element, and determining the target network element for flow rate control and the target SP service in the target network element and the subsequent steps according to the service data and the performance load data.
In an alternative manner, the instruction management subsystem further comprises an instruction issuing module adapted to:
judging whether the requirement for issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
if the demand for issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
Fig. 4 is a schematic structural diagram of a flow rate control system based on SP service in EPC network according to an embodiment of the present invention. As shown in fig. 4: the data sources that this system needs to gather include: the system needs to communicate with network elements in the EPC network to ensure the normal issuing of flow control instructions.
The system consists of a data acquisition management subsystem, an algorithm modeling subsystem, an instruction management subsystem and a storage management subsystem, and the functions are described as follows:
wherein, data acquisition management subsystem: the system basic data configuration collection comprises the following modules:
the basic data acquisition module: collecting the basic data of the current network telephone traffic network management, the subsystem and the SEQ system, including the number of attached users in the daily busy hour, the flow peak value in the daily busy hour, the SP service flow rate in the busy hour and the like;
And the WEB interface module is used for: supporting manual input of basic data which cannot be acquired, such as business perception test data and the like;
and a data preprocessing module: the collected data is standardized, such as a unified unit and the like;
performance presentation module: according to the collected data, presenting service load indexes according to the dimension of network elements and SP services; the presented traffic load data may be used to determine a target network element and a target SP service;
wherein, the algorithm builds a subsystem: responsible for model calculation, SP service flow rate control evaluation and the like, and comprises the following modules:
the flow rate control calculation module: according to the basic data, calculating the flow rate of the network element Wj after implementing the flow control for the SP service h to the service g, and particularly referring to the description of the related calculation process in the step S220;
the network element load evaluation module: according to the calculation result of the flow rate control module, the network element capacity coefficient, such as the interface bandwidth of the SAEGW and the service board forwarding capacity, the interface bandwidth of the SGi firewall and the service board processing capacity, is combined to evaluate the network element load after flow rate control, and the specific reference can be seen from the description of the related calculation process in step S220;
wherein, the instruction management subsystem: the method is responsible for generating and issuing instructions based on calculation results of an algorithm modeling subsystem and comprises the following modules:
The instruction generation module: generating a speed limit instruction based on the SP service SID;
the instruction issuing module: issuing the instruction generated by the instruction generating module to a network element;
wherein, the storage management subsystem: the system is responsible for providing storage and management of information such as basic data collected by the system, system configuration data and the like, such as reading, writing, updating and the like, and comprises the following modules:
an interface adapting module: the bottom layer interface packaging module is used for providing management services of stored data to the outside in a unified way, and comprises reading, writing, updating and the like;
database: store base data, system data, etc.
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 flow rate control method based on SP service in the EPC network in any of the method embodiments.
Fig. 5 shows a schematic structural diagram of an embodiment of the server according to the present invention, which is not limited to the specific implementation of the server.
As shown in fig. 5, the server 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 the relevant steps in the above-described flow rate control method embodiment based on SP service in the EPC network for the server.
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 server 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 service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service.
In an alternative, the program 510 causes the processor to:
controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data;
calculating the flow rate of a network element pool to which a target network element belongs after controlling the speed of the target SP service from the real-time speed to a threshold speed in sensing test data; and estimating performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool.
In an alternative manner, the program 510 further causes the processor to:
the method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
In an alternative way, the capability coefficients include interface bandwidth and/or forwarding capability coefficients;
the program 510 further causes the processor to: solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the number of the groups of groups,
and obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool.
In an alternative manner, the program 510 further causes the processor to:
Judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
In an alternative manner, if the one or more load values are not lower than the corresponding preset load values, the program 510 further causes the processor to: and the step of collecting the service data of the SP service and the performance load data of the network element, and determining the target network element aimed at by the flow rate control and the target SP service in the target network element and the subsequent steps according to the service data and the performance load data.
In an alternative manner, the program 510 further causes the processor to:
judging whether the requirement for issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the flow rate of the target SP service is controlled by the target network element, specifically: if the demand for issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
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. 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). The present invention can also be implemented as an apparatus or device 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 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. 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 (6)
1. A flow rate control method based on SP service in EPC network includes:
collecting service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
judging whether to generate a flow rate control instruction of a target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service;
wherein the performing the analog control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data further includes: controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data;
the estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing further comprises the following steps:
The method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element;
summing the flow rates of a plurality of network elements in a network element pool to which the target network element belongs to obtain the flow rate of the network element pool; the capability coefficients include interface bandwidth and/or forwarding capability coefficients;
solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or, obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool;
the flow rate control instruction for judging whether to generate the target SP service in the target network element according to the performance load data of the network element pool further comprises the following steps: judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
2. The method of claim 1, wherein if the one or more load values are not below the corresponding preset load values, the method further comprises: and the step of collecting the service data of the SP service and the performance load data of the network element, and determining the target network element aimed at by the flow rate control and the target SP service in the target network element and the subsequent steps according to the service data and the performance load data.
3. The method of claim 1, wherein after the generating a flow rate control instruction, the method further comprises:
judging whether the requirement for issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the flow rate of the target SP service is controlled by the target network element, specifically: if the demand for issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
4. A flow control system based on SP traffic in an EPC network, comprising:
the data acquisition management subsystem is suitable for acquiring service data of the SP service and performance load data of the network element;
the algorithm modeling subsystem is suitable for determining a target network element aimed by flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and predicting performance load data of a network element pool to which the target network element belongs after the simulation control processing;
The instruction management subsystem is suitable for judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service;
wherein the algorithmic modeling subsystem is further adapted to: controlling the speed of the target SP service from the real-time speed to a threshold speed in the perception test data; the method comprises the steps of subtracting a reduction value of a target network element flow rate after controlling the real-time flow rate of the target network element and the rate of target SP service from the real-time rate to a threshold rate in sensing test data to obtain the flow rate of the target network element; summing the flow rates of a plurality of network elements in a network element pool to which the target network element belongs to obtain the flow rate of the network element pool; the capability coefficients include interface bandwidth and/or forwarding capability coefficients; solving a first ratio of the sum of the flow rate of the network element pool and the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or, obtaining a second ratio of the sum of the flow rate of the network element pool and the forwarding capacity coefficients of a plurality of sets of network element equipment in the network element pool, and determining the second ratio as the forwarding capacity utilization rate of the network element pool;
The instruction management subsystem is further adapted to: judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if yes, judging that a flow rate control instruction of a target SP service in the target network element is generated.
5. 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 an operation corresponding to the SP service-based flow rate control method in the EPC network according to any one of claims 1 to 3.
6. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the SP traffic-based flow rate control method in an EPC network as claimed in any one of claims 1 to 3.
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