CN117729562A - Network optimization method and device, electronic equipment and storage medium - Google Patents
Network optimization method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a network optimization method and device, electronic equipment and storage medium, wherein the method comprises the following steps: acquiring network element equipment parameters of a plurality of network element equipment in a core network; determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes; determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to network element equipment contained in each signaling path; and determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device. By the embodiment of the invention, the flow threshold is cooperatively configured by the network element equipment in the core network, and the risk of network performance bottleneck is reduced.
Description
Technical Field
The present invention relates to the field of network technologies, and in particular, to a method and apparatus for network optimization, an electronic device, and a storage medium.
Background
In a large-scale network, in order to cope with a signaling surge risk scene, a core network element can start an overload protection and flow control mechanism, and when the traffic exceeds a flow control threshold, operations such as message discarding and the like can be performed.
However, the respective configuration of the flow control threshold of each network element of the core network may cause the processing performance of the local network element to be weak, thereby becoming a network bottleneck and aggravating the strength of the signaling storm.
Disclosure of Invention
In view of the foregoing, a method and apparatus, an electronic device, a storage medium, and a network optimization method and apparatus are provided to overcome or at least partially solve the foregoing, including:
a method of network optimization, the method comprising:
acquiring network element equipment parameters of a plurality of network element equipment in a core network;
determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes;
determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to network element equipment contained in each signaling path;
and determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device.
Optionally, the determining the first flow limit value of each signaling path based on the network element device parameter corresponding to the network element device included in each signaling path includes:
determining a plurality of target network element devices contained in a target signaling path;
determining a third flow limit value of each network element device according to the network element device parameters of each target network element device;
A minimum value of the third flow limit is determined as a first flow limit of the target signaling path.
Optionally, the determining the second flow limit of each network element device according to the first flow limit of the signaling path associated with each network element device includes:
determining a plurality of target signaling paths associated with target network element equipment;
and determining the minimum value in the first flow limit values of the plurality of target signaling paths as a second flow limit value of the target network element equipment.
Optionally, the method further comprises:
when a preset event for representing the update of the core network is detected, updating the second flow limit value according to the real-time information of the core network;
the preset event includes any one or more of the following:
core network capacity expansion events and network element upgrade events.
Optionally, the network element parameters include an operation state, a first timeout time and/or a first retransmission number, and further include:
when the running state of the target network element equipment is detected to be a first state, determining a target head node in a target signaling path associated with the target network element equipment, and adjusting the first timeout time and/or the first retransmission times of the target head node to be second timeout time and/or second retransmission times; the first state is an operating state in which flow control is triggered based on the second flow limit; the second timeout time is greater than the first timeout time, and the second retransmission times are less than the first retransmission times;
And sending the second timeout time and/or the second retransmission times to the target head node.
Optionally, when the operation state of the target network element device is detected to be switched from the first state to the second operation state, the second timeout time and/or the second retransmission times of the target head node are adjusted to be the first timeout time and/or the first retransmission times.
Optionally, the adjusting the first timeout time and/or the first retransmission number of the target head node to the second timeout time and/or the second retransmission number includes:
acquiring historical optimization data of the target head node;
and according to the historical optimization data, the first timeout time and/or the first retransmission times of the target head node are/is adjusted to be the second timeout time and/or the second retransmission times.
A network optimization apparatus, the apparatus comprising:
the network element equipment parameter acquisition module is used for acquiring network element equipment parameters of a plurality of network element equipment in the core network;
a signaling path determining module, configured to determine multiple signaling paths formed by the multiple network element devices under multiple preset scenarios;
a first flow limit determining module, configured to determine a first flow limit of each signaling path based on a network element device parameter corresponding to a network element device included in the signaling path;
And the second flow limit determining module is used for determining the second flow limit of each network element device according to the first flow limit of the signaling path associated with each network element device.
An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor implements a network optimization method as described above.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a network optimization method as claimed in any one of the preceding claims.
The embodiment of the invention has the following advantages:
the embodiment of the invention further determines a plurality of signaling paths formed by a plurality of network element devices in a core network under a plurality of preset scenes by acquiring the network element device parameters of the network element devices; the first flow limit value of each signaling path is determined based on the network element equipment parameters corresponding to the network element equipment contained in each signaling path, and the second flow limit value of each network element equipment is determined according to the first flow limit value of the signaling path associated with each network element equipment, so that the network element equipment in the core network is subjected to full-network cooperative configuration flow threshold, and the risk of network performance bottleneck is reduced.
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In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the description of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of steps of a method for network optimization according to an embodiment of the present invention;
FIG. 2 is a flow chart of steps of another method for network optimization provided by an embodiment of the present invention;
FIG. 3 is a flow chart of steps of another method for network optimization provided by an embodiment of the present invention;
fig. 4a is a schematic diagram of a core network structure according to an embodiment of the present invention;
fig. 4b is a schematic diagram of a signaling path structure according to an embodiment of the present invention;
fig. 4c is a schematic flow chart of network optimization in a core network according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a network optimization device according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In a large-scale network, in order to cope with a signaling surge risk scene, a core network element can start an overload protection and flow control mechanism, and when the traffic exceeds a flow control threshold, operations such as message discarding are performed. However, the existing network still has a situation that the service is interrupted due to the fact that the service volume exceeds the capability of the equipment. The method mainly comprises the steps that each network element configures a flow control threshold according to self capacity, the whole network cooperative setting cannot be carried out, and due to the difference (retransmission times, overtime time and the like) of equipment, manufacturers and the like, a signaling convergence point (such as DRA, SCP and the like) generates faults or prolongs the fault time due to the fact that the consumption performance of traffic volume surge (signaling retransmission and the like) aggravates the strength of signaling storm.
In the embodiment of the invention, the first flow limit value of each signaling path in the core network is determined, and the second flow limit value of each network element device is further determined based on the signaling path related to each network element device, so that the network element devices in the core network are subjected to full-network cooperative configuration of the flow threshold, and the risk generated by network performance bottleneck is reduced.
In addition, in the embodiment of the invention, when a certain network element device triggers a flow control mechanism, the overtime time of the signaling path head node and the cooperative configuration optimization of the retransmission times can be used for reducing the strength of signaling storm, improving the toughness and the reliability of the network, shortening the service influence time and improving the network safety operation technical capability of operators.
Referring to fig. 1, a flowchart illustrating steps of a method for network optimization according to an embodiment of the present invention may specifically include the following steps:
step 101, obtaining network element equipment parameters of a plurality of network element equipment in a core network;
the core network is a key network component in the mobile communication system, and can connect the mobile device with other networks and provide functions of data transmission, signaling processing, user management, etc. The core network is a central role of the mobile communication system and coordinates communication and interaction among subsystems.
The core network may include various network element devices such as policy control nodes, service convergence points, and core network common network elements. The network element device parameters may be preconfigured for each network element device, and the network element device parameters may include, but are not limited to, any one or more of a device nominal processing capability (the device nominal processing capability of the network element device is a maximum data flow or traffic that the device can handle in a normal operation condition, and the device's capability to process data and performance when processing a large amount of data), a utilization rate, a timeout period (the timeout period refers to a period of time allowed to wait for a connection when a network connection is made, if a connection cannot be established in the period of time, the timeout is considered), a retransmission number (the retransmission number refers to a number of times that a data packet is attempted to be retransmitted in a data transmission process if the data packet is not successfully received), and an operation state.
The policy control node is a node responsible for controlling and managing policy decisions in the communication process of the core network, and can be used for dynamically generating and issuing a network access control policy according to the identity, the position, the behavior and other information of a user so as to realize the protection and the optimal utilization of network resources.
The service convergence point refers to converging various service flows to a common network element, and the network element can complete convergence, forwarding and switching of various service flows. The service convergence point has the main functions of optimizing the network structure, improving the utilization rate of network equipment and reducing the operation cost.
The core network common network element refers to a common network element in the core network, such as a core network common 4/5G network element, and the core network common network element can be composed of one or more machine discs or machine frames, and can independently complete a certain transmission function. The core network general network element can provide various types of communication services, such as data transmission, voice communication, video conference, and the like.
The service convergence point may include, but is not limited to, routing agent nodes (Diameter Routing Agent, DRA), service communication agents (Service Communication Proxy, SCP), network storage functions (Network Repository Function, NRF), and the like.
The DRA node is responsible for long term evolution (Long Term Evolution, LTE) Diameter signaling destination address translation and transfer, and realizes authentication, location updating and charging management of LTE users.
The SCP node can implement the function of communication proxy between NF (Near Field), the NF does not need direct communication, but rather indirect communication through the SCP, and the SCP can simplify the networking of signaling routes.
The NRF node may support a service discovery function, receive an NF discovery request from an NF instance, and provide information of the discovered NF instance (discovered) to another NF instance. Registration information includes NF type, address, service list, etc.
In an example, the service convergence node and the core network generic node may push network element device parameters to the policy control node in real time. And the policy control node performs the policy control related to the network optimization based on the received network element equipment parameters, wherein the policy control related to the network optimization can comprise the flow threshold value control of the network element equipment, and the optimization adjustment of the timeout time and the retransmission times.
Step 102, determining a plurality of signaling paths formed by a plurality of network element devices under a plurality of preset scenes;
in the core network, a plurality of network element devices can establish different network connections in different scenes to generate different signaling paths, and each signaling path can comprise a head node, an intermediate node and a tail node. The preset scene may include, but is not limited to, a normal networking scene and a disaster recovery networking scene.
In an example, the policy control node may construct a signaling path model, obtain a threshold constraint relationship between network elements, and further calculate a flow control threshold of each network element device based on the threshold constraint relationship, and send the flow control threshold to each network element.
Step 103, determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to the network element equipment contained in each signaling path;
for each signaling path, network element device parameters corresponding to a plurality of network element devices included in the signaling path can be determined, so as to determine nominal processing capacity of devices in the network element device parameters, and further determine a first flow limit value of the signaling path. The first traffic restrictions of all signaling paths may be calculated in turn. The first flow limit is used to characterize the flow limit of the signaling path in actual traffic.
In practice, the traffic limit for each signaling path may depend on the gateway device with the worst nominal processing power of the devices in the signaling path.
Step 104, determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device.
After determining the first flow limit value of each signaling path, in the core network, each network element device may be located in multiple signaling paths at the same time, for each gateway device, a signaling path associated with the gateway device may be determined, and further, the second flow limit value of the gateway device may be determined according to the first flow limit values of the multiple signaling paths.
In an example, the second traffic limit for each network element device may be sent to the corresponding network element device so that the network element device may perform traffic monitoring based on the second traffic limit.
By the flow limit determining method, the second flow limit value of each gateway device can be set in consideration of the whole core network, the cooperation of the flow control thresholds of the network elements is realized, and the problem that the processing performance of the local network element is weak and the signaling storm intensity is aggravated due to the fact that the flow control thresholds are respectively configured by the network elements of the core network is solved.
In an embodiment of the present invention, when a preset event for characterizing the update of the core network is detected, the second traffic limit is updated according to the real-time information of the core network;
wherein the preset event comprises any one or more of the following:
core network capacity expansion events and network element upgrade events.
In practical application, the connection between the network element device and the gateway device in the core network may change, so that a preset event for representing the change of the core network may be set, and when the preset event is triggered, the first flow limit is updated, and the specific updating method refers to steps 101 to 104, so that the second flow limit is updated according to the real-time information of the core network.
In one example, the invention may be applied in the following situations:
(1) And related support systems are embedded in the scenes of planning, construction, operation and the like of the mobile core network of the operator, so that the toughness and reliability of the network are improved, and the network safety operation and maintenance requirements are met.
(2) The mobile network technology evolves, and the network reliability and disaster recovery capability are improved.
In the embodiment of the invention, network element equipment parameters of a plurality of network element equipment in a core network are acquired; determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes; determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to network element equipment contained in each signaling path; and determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device, so that the total network collaborative configuration flow threshold of the network element devices in the core network is realized, and the risk of network performance bottleneck is reduced.
Referring to fig. 2, a flowchart illustrating steps of another method for network optimization according to an embodiment of the present invention may specifically include the following steps:
step 201, obtaining network element equipment parameters of a plurality of network element equipment in a core network;
The core network is a key network component in the mobile communication system, and can connect the mobile device with other networks and provide functions of data transmission, signaling processing, user management, etc. The core network is a central role of the mobile communication system and coordinates communication and interaction among subsystems.
The core network may include various network element devices such as policy control nodes, service convergence points, and core network common network elements. The network element device parameters may be preconfigured for each network element device, and the network element device parameters may include, but are not limited to, any one or more of a device nominal processing capability (the device nominal processing capability of the network element device is a maximum data flow or traffic that the device can handle in a normal operation condition, and the device's capability to process data and performance when processing a large amount of data), a utilization rate, a timeout period (the timeout period refers to a period of time allowed to wait for a connection when a network connection is made, if a connection cannot be established in the period of time, the timeout is considered), a retransmission number (the retransmission number refers to a number of times that a data packet is attempted to be retransmitted in a data transmission process if the data packet is not successfully received), and an operation state.
The policy control node is a node responsible for controlling and managing policy decisions in the communication process of the core network, and can be used for dynamically generating and issuing a network access control policy according to the identity, the position, the behavior and other information of a user so as to realize the protection and the optimal utilization of network resources.
The service convergence point refers to converging various service flows to a common network element, and the network element can complete convergence, forwarding and switching of various service flows. The service convergence point has the main functions of optimizing the network structure, improving the utilization rate of network equipment and reducing the operation cost.
The core network common network element refers to a common network element positioned in the core network, and the core network common network element can be composed of one or more machine discs or machine frames and can independently complete certain transmission functions. The core network general network element can provide various types of communication services, such as data transmission, voice communication, video conference, and the like.
The service convergence point may include, but is not limited to, routing agent nodes (Diameter Routing Agent, DRA), service communication agents (Service Communication Proxy, SCP), network storage functions (Network Repository Function, NRF), and the like.
The DRA node is responsible for long term evolution (Long Term Evolution, LTE) Diameter signaling destination address translation and transfer, and realizes authentication, location updating and charging management of LTE users.
The SCP node can implement the function of communication proxy between NF (Near Field), the NF does not need direct communication, but rather indirect communication through the SCP, and the SCP can simplify the networking of signaling routes.
The NRF node may support a service discovery function, receive an NF discovery request from an NF instance, and provide information of the discovered NF instance (discovered) to another NF instance. Registration information includes NF type, address, service list, etc.
In an example, the service convergence node and the core network generic node may push network element device parameters to the policy control node in real time. And the policy control node performs the policy control related to the network optimization based on the received network element equipment parameters, wherein the policy control related to the network optimization can comprise the flow threshold value control of the network element equipment, and the optimization adjustment of the timeout time and the retransmission times.
Step 202, determining a plurality of signaling paths formed by a plurality of network element devices under a plurality of preset scenes;
in the core network, a plurality of network element devices can establish different network connections in different scenes to generate different signaling paths, and each signaling path can comprise a head node, an intermediate node and a tail node. The preset scene may include, but is not limited to, a normal networking scene and a disaster recovery networking scene.
In an example, the policy control node may construct a signaling path model, obtain a threshold constraint relationship between network elements, and further calculate a flow control threshold of each network element device based on the threshold constraint relationship, and send the flow control threshold to each network element.
Step 203, determining a plurality of target network element devices contained in the target signaling path;
step 204, determining a third flow limit value of each network element device according to the network element device parameters of each target network element device;
in practical application, the network element device parameter of each target network element device can be determined, and then the third flow limit value of each network element device is calculated according to the conversion relation between the network element device parameter and the third flow limit value, wherein the third flow limit value is a flow limit value calculated independently based on the network element device. The second flow limit in the embodiment of the invention is a flow limit obtained by cooperative calculation based on the core network.
In an example, the third flow limit may be calculated by the device nominal processing capability in the network element device parameter, for example, the core network element sets a×x as the flow control threshold Mj (x is a percentage, and is taken according to network experience, for example, 75%) based on its own device processing capability a, and when the traffic exceeds the threshold, triggers the flow control mechanism to perform packet loss.
Step 205, determining the minimum value of the third flow limit as the first flow limit of the target signaling path;
after determining the third flow limit of the plurality of network element devices, a minimum value of the third flow limit in the network element device in the target signaling path may be determined as the first flow limit of the target signaling path.
For example, the signaling path 1 includes a network element device 1, a network element device 2, and a network element device 3, where the third flow limit calculated by the network element device 1 is a, the third flow limit calculated by the network element device 1 is B, the third flow limit calculated by the network element device 3 is C, and B > a > C, and thus the first flow limit of the signaling path 1 is C.
Step 206, determining a plurality of target signaling paths associated with the target network element device;
step 207, determining a minimum value of the first traffic limits of the plurality of target signaling paths as a second traffic limit of the target network element device.
For example, the signaling paths associated with the network element device 1 include a signaling path 1, a signaling path 2, where a first traffic limit of the signaling path 1 is C, a first traffic limit of the signaling path 2 is D, and C > D, so that the network element device obtains a second traffic limit based on the whole network cooperation as D.
In the embodiment of the invention, network element equipment parameters of a plurality of network element equipment in a core network are acquired; determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes; determining a plurality of target network element devices contained in a target signaling path; determining a third flow limit value of each network element device according to the network element device parameters of each target network element device; determining the minimum value of the third flow limit as the first flow limit of the target signaling paths, and determining a plurality of target signaling paths associated with target network element equipment; and determining the minimum value in the first flow limit values of the plurality of target signaling paths as the second flow limit value of the target network element equipment, so that the total network collaborative configuration flow threshold is realized through the network element equipment in the core network, and the risk of network performance bottleneck is reduced.
Referring to fig. 3, a flowchart illustrating steps of another method for network optimization according to an embodiment of the present invention may specifically include the following steps:
step 301, acquiring network element equipment parameters of a plurality of network element equipment in a core network;
the core network is a key network component in the mobile communication system, and can connect the mobile device with other networks and provide functions of data transmission, signaling processing, user management, etc. The core network is a central role of the mobile communication system and coordinates communication and interaction among subsystems.
The core network may include various network element devices such as policy control nodes, service convergence points, and core network common network elements. The network element device parameters may be preconfigured for each network element device, and the network element device parameters may include, but are not limited to, any one or more of a device nominal processing capability (the device nominal processing capability of the network element device is a maximum data flow or traffic that the device can handle in a normal operation condition, and the device's capability to process data and performance when processing a large amount of data), a utilization rate, a timeout period (the timeout period refers to a period of time allowed to wait for a connection when a network connection is made, if a connection cannot be established in the period of time, the timeout is considered), a retransmission number (the retransmission number refers to a number of times that a data packet is attempted to be retransmitted in a data transmission process if the data packet is not successfully received), and an operation state.
The policy control node is a node responsible for controlling and managing policy decisions in the communication process of the core network, and can be used for dynamically generating and issuing a network access control policy according to the identity, the position, the behavior and other information of a user so as to realize the protection and the optimal utilization of network resources.
The service convergence point refers to converging various service flows to a common network element, and the network element can complete convergence, forwarding and switching of various service flows. The service convergence point has the main functions of optimizing the network structure, improving the utilization rate of network equipment and reducing the operation cost.
The core network common network element refers to a common network element positioned in the core network, and the core network common network element can be composed of one or more machine discs or machine frames and can independently complete certain transmission functions. The core network general network element can provide various types of communication services, such as data transmission, voice communication, video conference, and the like.
The service convergence point may include, but is not limited to, routing agent nodes (Diameter Routing Agent, DRA), service communication agents (Service Communication Proxy, SCP), network storage functions (Network Repository Function, NRF), and the like.
The DRA node is responsible for long term evolution (Long Term Evolution, LTE) Diameter signaling destination address translation and transfer, and realizes authentication, location updating and charging management of LTE users.
The SCP node can implement the function of communication proxy between NF (Near Field), the NF does not need direct communication, but rather indirect communication through the SCP, and the SCP can simplify the networking of signaling routes.
The NRF node may support a service discovery function, receive an NF discovery request from an NF instance, and provide information of the discovered NF instance (discovered) to another NF instance. Registration information includes NF type, address, service list, etc.
In an example, the service convergence node and the core network generic node may push network element device parameters to the policy control node in real time. And the policy control node performs the policy control related to the network optimization based on the received network element equipment parameters, wherein the policy control related to the network optimization can comprise the flow threshold value control of the network element equipment, and the optimization adjustment of the timeout time and the retransmission times.
Step 302, determining a plurality of signaling paths formed by a plurality of network element devices under a plurality of preset scenes;
in the core network, a plurality of network element devices can establish different network connections in different scenes to generate different signaling paths, and each signaling path can comprise a head node, an intermediate node and a tail node. The preset scene may include, but is not limited to, a normal networking scene and a disaster recovery networking scene.
In an example, the policy control node may construct a signaling path model, obtain a threshold constraint relationship between network elements, and further calculate a flow control threshold of each network element device based on the threshold constraint relationship, and send the flow control threshold to each network element.
Step 303, determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to the network element equipment included in each signaling path;
for each signaling path, network element device parameters corresponding to a plurality of network element devices included in the signaling path can be determined, so as to determine nominal processing capacity of devices in the network element device parameters, and further determine a first flow limit value of the signaling path. The first traffic restrictions of all signaling paths may be calculated in turn. The first flow limit is used to characterize the flow limit of the signaling path in actual traffic.
In practice, the traffic limit for each signaling path may depend on the gateway device with the worst nominal processing power of the devices in the signaling path.
Step 304, determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device.
After determining the first flow limit value of the signaling path, in the core network, each network element device may be located in multiple signaling paths at the same time, for each gateway device, a signaling path associated with the gateway device may be determined, and further, the second flow limit value of the gateway device may be determined according to the first flow limit values of the multiple signaling paths.
In an example, the second traffic limit for each network element device may be sent to the corresponding network element device so that the network element device may perform traffic monitoring based on the second traffic limit.
By the flow limit determining method, the second flow limit value of each gateway device can be set in consideration of the whole core network, the cooperation of the flow control thresholds of the network elements is realized, and the problem that the processing performance of the local network element is weak and the signaling storm intensity is aggravated due to the fact that the flow control thresholds are respectively configured by the network elements of the core network is solved.
Step 305, when detecting that the operation state of the target network element device is the first state, determining a target head node in a target signaling path associated with the target network element device, and adjusting a first timeout time and/or a first retransmission number of the target head node to a second timeout time and/or a second retransmission number;
the first state is an operation state of triggering flow control based on the second flow limit value; the second timeout is greater than the first timeout and the second number of retransmissions is less than the first number of retransmissions.
After calculating the flow limit, the flow control on each network element device can be executed based on the flow limit, namely when the service processing flow of the target network element device is higher than the corresponding flow limit, the running state of the target network element device is the first state, and at the moment, the flow control mechanism can be triggered to carry out packet loss. In order to reduce the strength of the signaling storm, the timeout time and retransmission times of the target head node in the corresponding target signaling path can be further adjusted, and the optimization is carried out from the source. When the target network element device involves multiple target signaling paths, then head node adjustments may be made for each target signaling path.
In an example, step 305 may include: acquiring historical optimization data of a target head node; and according to the historical optimization data, the first timeout time and/or the first retransmission times of the target head node are/is adjusted to be the second timeout time and/or the second retransmission times.
In practical application, historical optimization data of the target head node, such as corresponding timeout time and retransmission times set by the target head node in a certain traffic state, can be obtained, and further, the timeout time and retransmission coefficients set correspondingly in the current state can be determined according to matching between the current states of the target head node and target network element equipment and the historical optimization data.
In an example, the historical statistical model can be trained based on the historical optimization data, so that the overtime time and the retransmission times can be accurately determined according to the historical statistical model, the retransmission times can be specifically reduced, the overtime time can be increased, and each network element device can be adaptively adjusted according to the actual state of the network element device.
And step 306, the second timeout time and/or the second retransmission times are sent to the corresponding target network element equipment.
In an embodiment of the present invention, further includes: and when the operation state of the target network element equipment is detected to be switched from the first state to the second operation state, adjusting the second timeout time and/or the second retransmission times of the target head node to be the first timeout time and/or the first retransmission times.
In practical application, when the target network element equipment is detected to resume normal operation, the timeout time and retransmission times of the target head node can also be correspondingly resumed.
In the embodiment of the invention, the risk generated by network performance bottleneck is reduced through the cooperative configuration of the whole network flow control threshold; meanwhile, through the collaborative configuration optimization of the timeout time and the retransmission times of the flow control trigger head node, the strength of the signaling storm is reduced, the toughness and the reliability of the network are improved, the service influence time is shortened, and the network safety operation technical capability of operators is improved.
The implementation of the invention is illustrated below in connection with fig. 4a to 4 c:
referring to fig. 4a, a schematic diagram of a core network structure is shown, the core network includes a policy control node, a core network general network element (such as network elements 1 to 8 shown in fig. 4 a), and a service convergence node (NRF, SCP, DRA), where the policy control node may communicate with all the core general network elements and the service convergence node (such as indicated by double arrow dashed lines in fig. 4 a), and a connection may be established between the core network general network element and the service convergence node to form a signaling path, as shown in fig. 4b, which is a schematic diagram of a signaling path including a head node, an intermediate node, and a tail node.
As shown in fig. 4c, a network optimization flow diagram based on a core network may specifically include the following steps:
step 401, pushing nominal processing capacity, utilization rate, timeout time, retransmission times, running state and the like of equipment by a core network element (comprising a common network element and a service convergence point network element);
step 402, the strategy control node builds a signaling path model, and plans the flow control threshold of the core network element from the whole network angle based on the optimization scheme;
step 403, determining whether there is an upgrade or capacity expansion in the core network, if there is an upgrade or capacity expansion, returning to step 402 to update the flow control threshold of the core network element, if there is no upgrade or capacity expansion, executing step 404,
step 404, the policy control node issues respective flow control threshold to each network element;
step 405, the policy control node detects that the network element starts the flow control mechanism, and recalculates the number of signaling retransmission times and the timeout time of the head node in the path where the network element is located;
step 406, the policy control node issues the respective optimized retransmission times and timeout time to the relevant network element;
step 407, the policy control node detects that the network element is recovered to normal, and resets the signaling retransmission times and the timeout time to normal values.
It should be noted that, for simplicity of description, the method embodiments are depicted as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 5, a schematic structural diagram of a network optimization device according to an embodiment of the present invention may specifically include the following modules:
a network element device parameter obtaining module 501, configured to obtain network element device parameters of a plurality of network element devices in a core network;
a signaling path determining module 502, configured to determine multiple signaling paths formed by the multiple network element devices under multiple preset scenarios;
a first flow limit determining module 503, configured to determine a first flow limit of each signaling path based on a network element device parameter corresponding to a network element device included in the signaling path;
a second flow limit determining module 504, configured to determine a second flow limit of each network element device according to a first flow limit of a signaling path associated with the each network element device.
In one embodiment of the present invention, the first flow limit determining module 503 includes:
a target network element device determining submodule, configured to determine a plurality of target network element devices included in a target signaling path;
a third flow limit determining submodule, configured to determine a third flow limit of each network element device according to a network element device parameter of each target network element device;
a first flow limit determination submodule for determining a minimum value of the third flow limit as the first flow limit of the target signaling path.
In one embodiment of the present invention, the second flow limit determination module 504 includes:
a target signaling path determining sub-module, configured to determine a plurality of target signaling paths associated with a target network element device;
a second traffic limit determining sub-module, configured to determine a minimum value of the first traffic limits of the plurality of target signaling paths as a second traffic limit of the target network element device.
In an embodiment of the invention, the apparatus further comprises:
the first flow limit updating module is used for updating the first flow limit according to the real-time information of the core network when a preset event used for representing the update of the core network is detected;
Wherein the preset event comprises any one or more of the following:
network adjustment events, capacity expansion events, network element upgrade events.
In an embodiment of the present invention, the network element parameter includes an operation state, a first timeout period, and/or a first retransmission number, and the apparatus further includes:
a first network element parameter adjustment module, configured to determine a target head node in a target signaling path associated with the target network element device when detecting that an operation state of the target network element device is a first state, and adjust a first timeout time and/or a first retransmission number of the target head node to a second timeout time and/or a second retransmission number; the first state is an operating state in which flow control is triggered based on the second flow limit; the second timeout time is greater than the first timeout time, and the second retransmission times are less than the first retransmission times;
and the first network element parameter sending module is used for sending the second timeout time and/or the second retransmission times to the target head node.
In an embodiment of the invention, the apparatus further comprises:
and the second network element parameter adjustment module is used for adjusting the second timeout time and/or the second retransmission times of the target head node to the first timeout time and/or the first retransmission times when the operation state of the target network element equipment is detected to be switched from the first state to the second operation state.
In the embodiment of the invention, network element equipment parameters of a plurality of network element equipment in a core network are acquired; determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes; determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to network element equipment contained in each signaling path; and determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device, so that the total network collaborative configuration flow threshold of the network element devices in the core network is realized, and the risk of network performance bottleneck is reduced.
An embodiment of the present invention also provides an electronic device that may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, the computer program implementing the method of network optimization as above when executed by the processor.
An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for network optimization as above.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail the method and apparatus for network optimization, the electronic device, and the storage medium, and specific examples have been applied to illustrate the principles and embodiments of the present invention, and the above examples are only used to help understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. A method of network optimization, the method comprising:
acquiring network element equipment parameters of a plurality of network element equipment in a core network;
determining a plurality of signaling paths formed by the plurality of network element devices under a plurality of preset scenes;
determining a first flow limit value of each signaling path based on network element equipment parameters corresponding to network element equipment contained in each signaling path;
and determining a second flow limit value of each network element device according to the first flow limit value of the signaling path associated with each network element device.
2. The method according to claim 1, wherein said determining the first traffic limit for each signaling path based on the network element device parameter corresponding to the network element device included in the signaling path comprises:
determining a plurality of target network element devices contained in a target signaling path;
determining a third flow limit value of each network element device according to the network element device parameters of each target network element device;
a minimum value of the third flow limit is determined as a first flow limit of the target signaling path.
3. The method of claim 1, wherein said determining a second traffic limit for each network element device based on a first traffic limit for a signaling path associated with said each network element device comprises:
Determining a plurality of target signaling paths associated with target network element equipment;
and determining the minimum value in the first flow limit values of the plurality of target signaling paths as a second flow limit value of the target network element equipment.
4. The method as recited in claim 1, further comprising:
when a preset event for representing the update of the core network is detected, updating the second flow limit value according to the real-time information of the core network;
the preset event includes any one or more of the following:
core network capacity expansion events and network element upgrade events.
5. The method according to any of claims 1 to 4, wherein the network element parameters comprise an operational state, a first timeout time and/or a first number of retransmissions, further comprising:
when the running state of the target network element equipment is detected to be a first state, determining a target head node in a target signaling path associated with the target network element equipment, and adjusting the first timeout time and/or the first retransmission times of the target head node to be second timeout time and/or second retransmission times; the first state is an operating state in which flow control is triggered based on the second flow limit; the second timeout time is greater than the first timeout time, and the second retransmission times are less than the first retransmission times;
And sending the second timeout time and/or the second retransmission times to the target head node.
6. The method as recited in claim 5, further comprising:
and when the running state of the target network element equipment is detected to be switched from the first state to the second running state, adjusting the second timeout time and/or the second retransmission times of the target head node to the first timeout time and/or the first retransmission times.
7. The method according to claim 4, wherein said adjusting the first timeout time and/or the first number of retransmissions of the target head node to the second timeout time and/or the second number of retransmissions comprises:
acquiring historical optimization data of the target head node;
and according to the historical optimization data, the first timeout time and/or the first retransmission times of the target head node are/is adjusted to be the second timeout time and/or the second retransmission times.
8. A network optimization device, the device comprising:
the network element equipment parameter acquisition module is used for acquiring network element equipment parameters of a plurality of network element equipment in the core network;
a signaling path determining module, configured to determine multiple signaling paths formed by the multiple network element devices under multiple preset scenarios;
A first flow limit determining module, configured to determine a first flow limit of each signaling path based on a network element device parameter corresponding to a network element device included in the signaling path;
and the second flow limit determining module is used for determining the second flow limit of each network element device according to the first flow limit of the signaling path associated with each network element device.
9. An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor implements the network optimization method of any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the network optimization method according to any of claims 1 to 7.
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