CN117177276A - 5G customized private network adjustment method, device and storage medium - Google Patents
5G customized private network adjustment method, device and storage medium Download PDFInfo
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Abstract
The application provides a 5G customized private network adjustment method, a device and a storage medium, belonging to the technical field of communication networks. The method comprises the steps of detecting key performance of a 5G customized private network in real time and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result; determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation; and executing an adjustment strategy corresponding to the abnormal detection result, and adjusting the configuration and/or parameter setting of the 5G customized private network. The application aims to timely adjust the problem of performance degradation in a 5G customized private network.
Description
Technical Field
The embodiment of the application relates to the technical field of communication networks, in particular to a 5G customized private network adjustment method, a device and a storage medium.
Background
In the field of industrial manufacturing, the 5G (5 th Generation Mobile Communication Technology, fifth-generation mobile communication technology) customized private network is a 5G network which is specially designed and deployed for meeting the requirements of industrial production and application, can support the development of the fields of intelligent manufacturing, remote operation and monitoring, robot control, industrial Internet of things and the like, improves the efficiency, quality and flexibility of industrial manufacturing, and for example, the 5G customized private network supports the connection of large-scale equipment and sensors, realizes the rapid deployment and management of the industrial Internet of things, and realizes intelligent production and operation.
Because the 5G customized private network is required to have stability, reliability and real-time performance in data transmission in industrial application, in practical application, performance of the 5G customized private network is reduced due to performance problems of paths or nodes in the 5G customized private network, and a great deal of time is consumed in a link of detecting the problems by workers and in a recovery process, so that the efficiency of industrial production is reduced.
Disclosure of Invention
The embodiment of the application provides a 5G customized private network adjustment method, a device and a storage medium, aiming at timely adjusting the problem of reduced performance in the 5G customized private network.
In a first aspect, an embodiment of the present application provides a method for adjusting a 5G customized private network, where the method includes:
performing key performance detection on the 5G customized private network in real time, and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result;
determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation;
and executing an adjustment strategy corresponding to the abnormal detection result, and adjusting the configuration and/or parameter setting of the 5G customized private network.
Optionally, performing key performance detection on the 5G customized private network in real time, and generating an anomaly detection result in a target time period, including:
periodically transmitting a test data packet to a target detection path or a target detection node of the 5G customized private network through first monitoring equipment;
recording the sending time stamp and the receiving time stamp of the test data packet;
determining the delay of the target detection path or the target detection node according to the sending time stamp and the receiving time stamp;
and when the delay of the target detection path or the target detection node is greater than the delay tolerance, generating a delay abnormality detection result.
Optionally, performing key performance detection on the 5G customized private network in real time, and generating an anomaly detection result in a target time period, including:
capturing a data packet transmitted by a network in a target time period through second monitoring equipment connected with a 5G customized private network, and recording transmission information of the data packet, wherein the transmission information comprises the total number of bytes transmitted, the bandwidth utilization rate, the packet loss rate and the transmission time delay;
calculating the uplink throughput and the downlink throughput of the network in the target time period;
and when the descending proportion of the uplink throughput or the downlink throughput exceeds a proportion threshold value, generating a throughput abnormality detection result.
Optionally, performing key performance detection on the 5G customized private network in real time, and generating an anomaly detection result in a target time period, including:
determining the error rate, the packet loss rate and the retransmission rate in the data transmission process according to the data packets sent by the 5G customized private network in the data transmission process and the received data packets;
and when any one of the error rate, the packet loss rate and the retransmission rate exceeds a corresponding preset threshold value, generating a reliability abnormity detection result.
Optionally, determining, according to the anomaly detection result, an adjustment policy corresponding to the anomaly detection result includes:
when the abnormality detection result is a delayed abnormality detection result, the adjustment strategy is determined to be a network topology adjustment strategy and/or a hop count strategy for reducing data packet transmission;
when the abnormal detection result is a throughput abnormal detection result, the adjustment strategy is determined to be a network resource allocation strategy;
when the abnormal detection result is a reliability abnormal detection result, the adjustment strategy is determined to be a redundant transmission path adding strategy and/or a network protocol adjustment strategy;
when the abnormal detection result is a delayed abnormal detection result and a reliability abnormal detection result, the adjustment strategy is determined to be a network protocol adjustment strategy;
and when the abnormal detection result is a delayed abnormal detection result and a throughput abnormal detection result, determining the adjustment strategy as a scheduling algorithm optimization strategy.
Optionally, executing an adjustment policy corresponding to the anomaly detection result, and adjusting configuration and/or parameter setting of the 5G customized private network includes:
when the abnormal detection result is a delayed abnormal detection result and a throughput abnormal detection result, acquiring target constraint information of delay and throughput;
determining an optimization target of a scheduling algorithm according to the target constraint information, wherein the optimization target comprises any one of minimizing task completion time, maximizing throughput and reducing delay;
determining an optimization strategy of the scheduling algorithm according to the target constraint information and an optimization target, wherein the optimization strategy comprises any one of resource allocation optimization, task scheduling strategy and load balancing algorithm;
executing the optimization strategy of the scheduling algorithm, and generating a performance evaluation result of the 5G customized private network after each optimization;
and carrying out iterative optimization on a scheduling algorithm of the 5G customized private network according to the performance evaluation result until the performance evaluation result of the 5G customized private network reaches a preset state.
Optionally, after executing the adjustment policy corresponding to the anomaly detection result and adjusting the configuration and/or parameter setting of the 5G customized private network, the method further includes:
acquiring key performance indexes of the 5G customized private network after executing an adjustment strategy;
comparing the key performance index of the 5G customized private network after executing the adjustment strategy with the key performance index of the 5G customized private network before executing the adjustment strategy, and determining the respective improvement rate of each key performance index;
determining an adjustment evaluation result according to the improvement rate;
and improving the adjustment strategy according to the adjustment evaluation result.
Optionally, the method further comprises:
periodically acquiring key performance indexes of the 5G customized private network;
and analyzing the change trend of the key performance index of the 5G customized private network to evaluate the long-term performance of the 5G customized private network.
In a second aspect, an embodiment of the present application provides a 5G customized private network adjustment apparatus, where the apparatus includes:
the detection module is used for detecting key performance of the 5G customized private network in real time and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result;
the adjustment strategy determining module is used for determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation;
and the adjustment strategy execution module is used for executing the adjustment strategy corresponding to the abnormal detection result and adjusting the configuration and/or parameter setting of the 5G customized private network.
In a third aspect, an embodiment of the present application provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements the 5G customized private network adjustment method according to the first aspect of the embodiment.
The beneficial effects are that:
performing key performance detection on the 5G customized private network in real time, and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result; determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation; and executing an adjustment strategy corresponding to the abnormal detection result, and adjusting the configuration and/or parameter setting of the 5G customized private network.
In the method, by carrying out key performance detection on the 5G customized private network, determining whether at least one of a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result exists in the 5G customized private network in a target time period, and when the abnormal detection result appears, executing an adjustment strategy corresponding to the abnormal detection result in time, carrying out performance optimization on the 5G customized private network, and avoiding the reduction of production efficiency caused by the performance reduction of the 5G customized private network.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart illustrating steps of a method for adjusting a 5G customized private network according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating a delay detection process according to an embodiment of the present application;
FIG. 3 is a flow chart of steps of a throughput detection process provided by an embodiment of the present application;
FIG. 4 is a flow chart of steps of a reliability detection process according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating steps for implementing a scheduling optimization strategy according to one embodiment of the present application;
fig. 6 is a functional block diagram of a 5G customized private network adjustment device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a step flow diagram of a method for adjusting a 5G customized private network in an embodiment of the present application is shown, where the method specifically may include the following steps:
s101: and detecting key performance of the 5G customized private network in real time, and generating an abnormality detection result in a target time period, wherein the abnormality detection result comprises a delay abnormality detection result, a throughput abnormality detection result and a reliability abnormality detection result.
The 5G customized private network has requirements for transmission instantaneity, stability and reliability when in use, so that the network transmission capacity and the reliability of the network transmission of the 5G customized private network are detected in real time, and three performance indexes of delay, throughput and reliability of the 5G customized private network can be detected in real time, for example.
Referring to fig. 2, a step flow diagram of a delay detection process in an embodiment of the present application is shown, where in a possible implementation manner, when detecting a delay of a 5G customized private network, the delay of a data transmission process may be detected, and specifically includes the following steps:
a1: and periodically transmitting the test data packet to a target detection path or a target detection node of the 5G customized private network through the first monitoring equipment.
In actual detection, a key node in the 5G customized private network is used as a target detection node, such as a node of a server, or any section of data transmission path in the 5G customized private network is used as a target detection path, and then a test data packet is periodically sent to the target detection path or the target detection node through the set first monitoring equipment.
A2: and recording the sending time stamp and the receiving time stamp of the test data packet.
For example, the transmission time stamp of the first monitoring device for transmitting the test data packet to the starting network element in the target detection path is a1, and the time when the first monitoring device receives the test data packet at the end network element in the target detection path is a2.
A3: and determining the delay of the target detection path or the target detection node according to the sending time stamp and the receiving time stamp.
The delay may be classified into a round trip delay and a one-way delay, and a specialized tool or a network monitoring device may be used as the first monitoring device in the actual implementation process, and the delay of the target detection path or the target detection node is determined by using the specialized device or the network monitoring system.
A4: and when the delay of the target detection path or the target detection node is greater than the delay tolerance, generating a delay abnormality detection result.
The delay tolerance is a threshold value of data delay set for the target detection path or the target detection node according to the requirement of practical application, if the delay of the target detection path or the target detection node is larger than the delay tolerance, the delay is abnormal, and in order not to influence the real-time performance of data transmission, adjustment or recovery is required in time, so that a delay abnormal detection result is generated to trigger a corresponding adjustment strategy.
Referring to fig. 3, a step flow diagram of a throughput detection process in an embodiment of the present application is shown, and in a possible implementation manner, when detecting a delay of a 5G customized private network, the method may further detect throughput of a data transmission process, and specifically includes the following steps:
b1: and capturing a data packet transmitted by the network in a target time period through a second monitoring device connected with the 5G customized private network, and recording transmission information of the data packet.
When the throughput is detected, the second monitoring device is connected to the 5G customized private network, the data packet transmitted in the 5G customized private network can be captured through the second monitoring device, the data packet comprises a time period required for transmitting the data packet and specific network traffic, transmission information is recorded, and the transmission information comprises the total number of bytes transmitted, the bandwidth utilization rate, the packet loss rate and the transmission delay.
B2: and calculating the uplink throughput and the downlink throughput of the network in the target time period.
Uplink throughput ut= (TBS/TT) ×1-PLR (BU);
downlink throughput dt= (TBR/TT) × (1-PLR) × (BU);
the TBS represents the total number of bytes transmitted, TT represents a target time period, BU represents a bandwidth utilization rate, PLR represents a packet loss rate, and TD represents a transmission delay.
B3: and when the descending proportion of the uplink throughput or the downlink throughput exceeds a proportion threshold value, generating a throughput abnormality detection result.
Specifically, a descending proportion threshold value allowed by the uplink throughput and the downlink throughput can be set respectively, when the descending proportion of the uplink throughput or the downlink throughput exceeds the proportion threshold value, the network transmission capacity is indicated to be abnormal, and a throughput abnormality detection result is generated.
In the actual implementation process, a throughput report can be generated, and the throughput report includes a drawn throughput time trend graph, average throughput and fluctuation condition of throughput so as to reflect the change condition of the data transmission capacity of the network.
Referring to fig. 4, a step flow diagram of a reliability detection process in an embodiment of the present application is shown, and in a possible implementation manner, when detecting a delay of a 5G customized private network, the reliability of a data transmission process may also be detected, which specifically includes the following steps:
c1: and determining the error rate, the packet loss rate and the retransmission rate in the data transmission process according to the data packet sent by the 5G customized private network in the data transmission process and the received data packet.
The error rate, the packet loss rate and the retransmission rate can comprehensively reflect the reliability of the 5G customized private network, specifically, the error rate refers to the proportion of the number of error data packets in the received data packets in the total number of transmitted data packets, namely, the error rate = the number of error data packets/the total number of transmitted data packets; the packet loss rate refers to the proportion of the number of lost packets in the received packets in the total number of transmitted packets, i.e., packet loss rate=the number of lost packets/the total number of transmitted packets; for the data packet with packet loss, the retransmission mechanism can be used for carrying out the complementary transmission, and the retransmission rate = the number of the retransmitted data packets/the number of the lost data packets, and the retransmission rate reflects the proportion of the data packet retransmission in the network.
C2: and when any one of the error rate, the packet loss rate and the retransmission rate exceeds a corresponding preset threshold value, generating a reliability abnormity detection result.
In the actual implementation process, corresponding preset thresholds can be set for the error rate, the packet loss rate and the retransmission rate respectively, and if any one of the error rate, the packet loss rate and the retransmission rate exceeds the corresponding preset threshold, the reliability of the 5G customized private network is characterized to be abnormal, and a reliability abnormal detection result is generated.
By performing a critical performance test on the 5G customized private network, when an anomaly detection result is detected, a report or alarm can be generated to indicate that there is an anomaly in the 5G customized private network, so as to notify the staff of specific anomaly content.
S102: and determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation.
For different types of anomalies in the 5G customized private network, corresponding adjustment strategies can be predetermined, the different types of anomalies are used as trigger conditions of the different adjustment strategies, the anomalies in the 5G customized private network can be adjusted more positively, and the performance of the 5G customized private network can be recovered in time.
In a possible implementation manner, when the anomaly detection result is a delayed anomaly detection result, the adjustment policy is determined as a network topology adjustment policy and/or a policy for reducing hops of data packet transmission, for example, the network topology of a delayed anomaly target detection path or target detection node is optimized, and the position of network equipment in the path is adjusted, or a relay node is added in the path to optimize the data transmission path, so that delay and transmission time of the data packet are reduced, and thus, the real-time performance and production efficiency of work production are improved.
When the anomaly detection result is a throughput anomaly detection result, the adjustment policy is determined as a network resource allocation policy, and for example, a network bandwidth allocation situation may be adjusted or channel resource allocation may be optimized.
When the anomaly detection result is a reliability anomaly detection result, the adjustment strategy is determined to be an increased redundancy transmission path strategy and/or a network protocol adjustment strategy, and when the reliability of the network is anomaly, the packet loss condition can be relieved or a proper network transmission protocol is automatically selected through newly increasing the redundancy transmission path, and the selectable network transmission protocols comprise TCP, UDP and the like.
And when the abnormal detection result is a delayed abnormal detection result and a reliability abnormal detection result, the adjustment strategy is determined to be a network protocol adjustment strategy.
And when the abnormal detection result is a delayed abnormal detection result and a throughput abnormal detection result, determining the adjustment strategy as a scheduling algorithm optimization strategy.
In the actual implementation process, different types of abnormal detection results can also correspond to other preset adjustment strategies, and customized settings can be realized according to the actual application requirements of the 5G customized private network.
S103: and executing an adjustment strategy corresponding to the abnormal detection result, and adjusting the configuration and/or parameter setting of the 5G customized private network.
And after determining a corresponding adjustment strategy according to the abnormal detection result, executing the adjustment strategy to adjust the configuration and/or parameter setting of the 5G customized private network.
Referring to fig. 5, a flowchart illustrating steps of executing a scheduling optimization strategy in an embodiment of the present application, specifically, when the anomaly detection result is a delayed anomaly detection result and a throughput anomaly detection result, executing the scheduling algorithm optimization strategy includes the following steps:
d1: target constraint information for delay and throughput is obtained.
In practical applications, the requirements of a specific application or task on delay and throughput are different, and target constraint information of the current application or task on delay and throughput is obtained.
D2: and determining an optimization target of a scheduling algorithm according to the target constraint information, wherein the optimization target comprises any one of minimizing task completion time, maximizing throughput and reducing delay.
D3: and determining an optimization strategy of the scheduling algorithm according to the target constraint information and the optimization target, wherein the optimization strategy comprises any one of resource allocation optimization, task scheduling strategy and load balancing algorithm.
In particular, resource allocation optimization is to dynamically adjust allocation of network resources to maximize throughput or reduce latency based on priority and resource requirements of a current task, which can be expressed as:
resourceallocation=f (task priority, resource requirement);
task scheduling strategies refer to optimizing the scheduling order or scheduling manner of tasks to reduce task completion time or delay, and can be expressed as:
task scheduling=f (task priority, dependency between tasks);
the load balancing algorithm refers to dynamically distributing tasks to different resource nodes according to the current network load condition so as to balance the load, improve the overall throughput and reduce the delay, and can use the formula:
loadbalancing=f (load condition of resource node);
d4: and executing the optimization strategy of the scheduling algorithm, and generating a performance evaluation result of the 5G customized private network after each optimization.
And after each execution of the optimization strategy of the scheduling algorithm, acquiring performance data of the 5G customized private network, such as task completion time, throughput, delay and the like, and generating a performance evaluation result of the 5G customized private network after each optimization.
D5: and carrying out iterative optimization on a scheduling algorithm of the 5G customized private network according to the performance evaluation result until the performance evaluation result of the 5G customized private network reaches a preset state.
And when the performance evaluation result of the 5G customized private network after any optimization does not meet the preset state, continuing to perform iterative optimization on the scheduling algorithm of the 5G customized private network until the performance evaluation result of the 5G customized private network reaches the preset state, and stopping the adjustment of the 5G customized private network so as to further improve throughput and reduce delay.
In a possible implementation manner, taking a process of executing an optimization strategy as a load balancing algorithm as an example, the specific steps of dynamically allocating tasks to different resource nodes by using the load balancing algorithm include:
e1: acquiring information of available resource nodes and tasks to be scheduled in a network of a 5G customized private network, wherein the information comprises resource requirements and priorities of the tasks;
e2: and calculating the load condition of each resource node according to the current resource allocation condition and the task execution state.
Specifically, the load condition calculation formula of the resource node is:
Rl＝(AT/TR)*(NW/TW)*(NPC/MPC)，
wherein Rl is the resource load, AT is the allocated task number, TR is the total task number, NW is the resource node weight, TW is the total weight, NPC is the resource node performance coefficient, and MPC is the maximum performance coefficient, where the resource node weight NW and the resource node performance coefficient NPC may be defined and calculated according to specific situations.
E3: and distributing the task to be scheduled to the resource nodes according to the load condition of each resource node.
According to the load condition of the resource nodes, a proper load balancing algorithm is selected to carry out task scheduling and resource allocation, and a weighted polling algorithm can be adopted, wherein the calculation formula is as follows:
Rw＝(RC-RL)*(NW/TW)/RC，
wherein Rw is a resource weight, RC is a resource capacity, RL is a resource load, NW is a resource node weight, TW is a total weight, and RC is a resource capacity.
In other embodiments, the tasks to be scheduled may also be allocated to the resource nodes using a minimum load algorithm and a shortest task priority algorithm.
E4: and monitoring the task execution condition and the resource load condition in real time, and updating the load information of the resource nodes in time.
E5: and acquiring scheduling index data and determining a performance evaluation result of the load balancing algorithm.
The scheduling index data comprise task completion time, resource utilization rate and the like, and the performance evaluation result of the load balancing algorithm is determined through the scheduling index data.
E6: and further adjusting and optimizing the load balancing algorithm according to the performance evaluation result.
In the actual implementation process, parameters in the load balancing algorithm can be adjusted or other algorithms can be introduced according to specific requirements and scenes to improve the scheduling performance.
In this embodiment, after executing the corresponding adjustment policy according to different types of anomaly detection results, the key performance index of the 5G customized private network after executing the adjustment policy may also be obtained, and then the key performance index of the 5G customized private network after executing the adjustment policy is compared with the key performance index of the 5G customized private network before executing the adjustment policy, so as to determine the respective improvement rate of each key performance index, where the improvement rate includes delay improvement rate DLIR, throughput improvement rate TIR, and reliability improvement rate RIR.
The calculation formula of the delay improvement rate DLIR is:
DLIR＝exp(log((BFAD-AFAD)/BFAD+1)+log((BMAXD-AMAXD)/BMAX D+1)+log((BMIND-AMIND)/BMIND+1))*100；
where BFAD is the average delay before adjustment, AFAD is the average delay after adjustment, BMAXD is the maximum delay before adjustment, AMAXD is the maximum delay after adjustment, BMIND is the minimum delay before adjustment, AMIND is the minimum delay after adjustment, and average delay = Σ (single delay)/total number of times.
The calculation formula of the throughput improvement rate TIR is:
TIR＝exp(log((AAF-BEF)/BEF+1)*log((AMTU-BMTU)/BMTU+1)*log((AST-BST)/BST+1))*100，
wherein AAF is the average throughput after adjustment, BEF is the average throughput before adjustment, AMTU is the maximum throughput after adjustment, BMTU is the maximum throughput before adjustment, AST is the system throughput after adjustment, BST is the system throughput before adjustment, average throughput = total transmission data amount/total transmission time;
the calculation formula of the reliability improvement rate RIR is as follows:
RIR＝exp(log((AER-BER)/BER+1)*log((AMRR-BMRR)/BMRR+1)*log((AERL-BERL)/BERL+1))*100，
wherein AER is the reliability index after adjustment, BER is the reliability index before adjustment, AMRR is the packet loss rate after adjustment, BMRR is the packet loss rate before adjustment, AERL is the retransmission rate after adjustment, BERL is the retransmission rate before adjustment, reliability index= (successful transmission number/total transmission number) ×100.
After determining the respective improvement rate of each key performance index, an adjustment evaluation result of the current adjustment may be generated, and the adjustment policy may be improved according to the adjustment evaluation result, for example, if the adjustment evaluation result of the current adjustment cannot meet the requirement of the actual application, the preset adjustment policy may be modified, so that the adjustment policy is continuously improved.
In another possible implementation manner, key performance indexes of the 5G customized private network can also be obtained periodically; and analyzing the change trend of the key performance index of the 5G customized private network to evaluate the long-term performance of the 5G customized private network.
According to the embodiment, by arranging the monitoring equipment in the 5G customized private network, key performance detection is performed on the 5G customized private network, whether at least one of a delay abnormality detection result, a throughput abnormality detection result and a reliability abnormality detection result exists in a target time period or not is determined, when the abnormality detection result occurs, an adjustment strategy corresponding to the abnormality detection result is timely executed, performance optimization is performed on the 5G customized private network, the optimized network can better meet the requirements of the industrial manufacturing field on delay, throughput and reliability, more efficient, stable and reliable communication service is provided, the 5G customized private network can better support the real-time and automatic requirements of industrial manufacturing, and the method is beneficial to improving the production efficiency, quality control, logistics management and other aspects of industrial manufacturing, and the digitizing and intelligent process of industrial manufacturing is promoted.
And after self-adaptive adjustment, the network performance is estimated and monitored again, the adjustment evaluation result is determined by comparing the delay, throughput and reliability indexes before and after adjustment, and the adjustment strategy is improved according to the adjustment evaluation result, so that the method is beneficial to timely finding and solving potential performance problems, ensuring the stability and reliability of the network, and providing valuable data support for further optimization and improvement.
Referring to fig. 6, a functional block diagram of a 5G customized private network adjustment device according to an embodiment of the present application is shown, where the device includes:
the detection module 100 is configured to perform key performance detection on the 5G customized private network in real time, and generate an anomaly detection result in a target time period, where the anomaly detection result includes a delayed anomaly detection result, a throughput anomaly detection result, and a reliability anomaly detection result;
an adjustment policy determining module 200, configured to determine an adjustment policy corresponding to the anomaly detection result according to the anomaly detection result, where the anomaly detection result and the adjustment policy are preconfigured with a corresponding relationship;
and the adjustment policy execution module 300 is configured to execute an adjustment policy corresponding to the anomaly detection result, and adjust configuration and/or parameter setting of the 5G customized private network.
Optionally, the detection module includes:
the first test unit is used for periodically sending test data packets to a target detection path or a target detection node of the 5G customized private network through first monitoring equipment; recording the sending time stamp and the receiving time stamp of the test data packet; determining the delay of the target detection path or the target detection node according to the sending time stamp and the receiving time stamp;
and the first abnormal detection result generating unit is used for generating a delay abnormal detection result when the delay of the target detection path or the target detection node is larger than the delay tolerance.
Optionally, the detection module includes:
the second test unit is used for capturing a data packet transmitted by the network in a target time period through second monitoring equipment connected with the 5G customized private network, and recording transmission information of the data packet, wherein the transmission information comprises the total number of bytes transmitted, the bandwidth utilization rate, the packet loss rate and the transmission delay; calculating the uplink throughput and the downlink throughput of the network in the target time period;
and the second abnormal detection result generating unit is used for generating a throughput abnormal detection result when the uplink throughput or the downlink throughput reduction ratio exceeds a ratio threshold value.
Optionally, the detection module includes:
the third test unit is used for determining the error rate, the packet loss rate and the retransmission rate in the data transmission process according to the data packet sent by the 5G customized private network in the data transmission process and the received data packet;
and the third abnormal detection result generating unit is used for generating a reliability abnormal detection result when any one of the error rate, the packet loss rate and the retransmission rate exceeds a corresponding preset threshold value.
Optionally, the adjustment policy determining module includes:
the first strategy determining unit is used for determining the adjustment strategy as a network topology adjustment strategy and/or a hop count strategy for reducing data packet transmission when the abnormality detection result is a delayed abnormality detection result;
a second policy determining unit, configured to determine, when the anomaly detection result is a throughput anomaly detection result, the adjustment policy as a network resource allocation policy;
a third policy determining unit, configured to determine, when the anomaly detection result is a reliability anomaly detection result, that the adjustment policy is to add a redundant transmission path policy and/or a network protocol adjustment policy;
a fourth policy determining unit, configured to determine the adjustment policy as a network protocol adjustment policy when the anomaly detection result is a delayed anomaly detection result and a reliability anomaly detection result;
and a fifth policy determining unit, configured to determine, when the anomaly detection result is a delayed anomaly detection result and a throughput anomaly detection result, that the adjustment policy is a scheduling algorithm optimization policy.
Optionally, the adjustment policy execution module includes:
the optimizing unit is used for acquiring target constraint information of delay and throughput when the abnormal detection result is a delay abnormal detection result and a throughput abnormal detection result; determining an optimization target of a scheduling algorithm according to the target constraint information, wherein the optimization target comprises any one of minimizing task completion time, maximizing throughput and reducing delay; determining an optimization strategy of the scheduling algorithm according to the target constraint information and an optimization target, wherein the optimization strategy comprises any one of resource allocation optimization, task scheduling strategy and load balancing algorithm; executing the optimization strategy of the scheduling algorithm, and generating a performance evaluation result of the 5G customized private network after each optimization; and carrying out iterative optimization on a scheduling algorithm of the 5G customized private network according to the performance evaluation result until the performance evaluation result of the 5G customized private network reaches a preset state.
Optionally, the apparatus further comprises:
the first acquisition module is used for acquiring key performance indexes of the 5G customized private network after the adjustment strategy is executed;
the improvement rate determining module is used for comparing the key performance index of the 5G customized private network after the adjustment strategy is executed with the key performance index of the 5G customized private network before the adjustment strategy is executed, and determining the respective improvement rate of each key performance index;
the evaluation result generation module is used for determining an adjustment evaluation result according to the improvement rate;
and the improvement module is used for improving the adjustment strategy according to the adjustment evaluation result.
Optionally, the apparatus further comprises:
the second acquisition module is used for periodically acquiring key performance indexes of the 5G customized private network;
and the long-term evaluation module is used for analyzing the change trend of the key performance index of the 5G customized private network so as to evaluate the long-term performance of the 5G customized private network.
Embodiments of the present application also provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor implements a 5G customized private network adjustment method according to the embodiments of the present application.
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 application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application 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 application 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 application 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 application. 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 application 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 application.
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 principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present application and the core ideas thereof; 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 application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A method for adjusting a 5G customized private network, the method comprising:
performing key performance detection on the 5G customized private network in real time, and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result;
determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation;
and executing an adjustment strategy corresponding to the abnormal detection result, and adjusting the configuration and/or parameter setting of the 5G customized private network.
2. The method of claim 1, wherein performing key performance detection on the 5G customized private network in real time and generating an anomaly detection result within a target time period comprises:
periodically transmitting a test data packet to a target detection path or a target detection node of the 5G customized private network through first monitoring equipment;
recording the sending time stamp and the receiving time stamp of the test data packet;
determining the delay of the target detection path or the target detection node according to the sending time stamp and the receiving time stamp;
and when the delay of the target detection path or the target detection node is greater than the delay tolerance, generating a delay abnormality detection result.
3. The method of claim 1, wherein performing key performance detection on the 5G customized private network in real time and generating an anomaly detection result within a target time period comprises:
capturing a data packet transmitted by a network in a target time period through second monitoring equipment connected with a 5G customized private network, and recording transmission information of the data packet, wherein the transmission information comprises the total number of bytes transmitted, the bandwidth utilization rate, the packet loss rate and the transmission time delay;
calculating the uplink throughput and the downlink throughput of the network in the target time period;
and when the descending proportion of the uplink throughput or the downlink throughput exceeds a proportion threshold value, generating a throughput abnormality detection result.
4. The method of claim 1, wherein performing key performance detection on the 5G customized private network in real time and generating an anomaly detection result within a target time period comprises:
determining the error rate, the packet loss rate and the retransmission rate in the data transmission process according to the data packets sent by the 5G customized private network in the data transmission process and the received data packets;
and when any one of the error rate, the packet loss rate and the retransmission rate exceeds a corresponding preset threshold value, generating a reliability abnormity detection result.
5. The method according to any one of claims 1-4, wherein determining, according to the anomaly detection result, an adjustment policy corresponding to the anomaly detection result includes:
when the abnormality detection result is a delayed abnormality detection result, the adjustment strategy is determined to be a network topology adjustment strategy and/or a hop count strategy for reducing data packet transmission;
when the abnormal detection result is a throughput abnormal detection result, the adjustment strategy is determined to be a network resource allocation strategy;
when the abnormal detection result is a reliability abnormal detection result, the adjustment strategy is determined to be a redundant transmission path adding strategy and/or a network protocol adjustment strategy;
when the abnormal detection result is a delayed abnormal detection result and a reliability abnormal detection result, the adjustment strategy is determined to be a network protocol adjustment strategy;
and when the abnormal detection result is a delayed abnormal detection result and a throughput abnormal detection result, determining the adjustment strategy as a scheduling algorithm optimization strategy.
6. The method of claim 5, wherein executing the adjustment policy corresponding to the anomaly detection result, adjusts the configuration and/or parameter settings of the 5G customized private network, comprises:
when the abnormal detection result is a delayed abnormal detection result and a throughput abnormal detection result, acquiring target constraint information of delay and throughput;
determining an optimization target of a scheduling algorithm according to the target constraint information, wherein the optimization target comprises any one of minimizing task completion time, maximizing throughput and reducing delay;
determining an optimization strategy of the scheduling algorithm according to the target constraint information and an optimization target, wherein the optimization strategy comprises any one of resource allocation optimization, task scheduling strategy and load balancing algorithm;
executing the optimization strategy of the scheduling algorithm, and generating a performance evaluation result of the 5G customized private network after each optimization;
and carrying out iterative optimization on a scheduling algorithm of the 5G customized private network according to the performance evaluation result until the performance evaluation result of the 5G customized private network reaches a preset state.
7. The method according to claim 1, wherein after executing the adjustment policy corresponding to the anomaly detection result and adjusting the configuration and/or parameter setting of the 5G customized private network, the method further comprises:
acquiring key performance indexes of the 5G customized private network after executing an adjustment strategy;
comparing the key performance index of the 5G customized private network after executing the adjustment strategy with the key performance index of the 5G customized private network before executing the adjustment strategy, and determining the respective improvement rate of each key performance index;
determining an adjustment evaluation result according to the improvement rate;
and improving the adjustment strategy according to the adjustment evaluation result.
8. The method according to claim 1, wherein the method further comprises:
periodically acquiring key performance indexes of the 5G customized private network;
and analyzing the change trend of the key performance index of the 5G customized private network to evaluate the long-term performance of the 5G customized private network.
9. A 5G customized private network adjustment device, the device comprising:
the detection module is used for detecting key performance of the 5G customized private network in real time and generating an abnormal detection result in a target time period, wherein the abnormal detection result comprises a delayed abnormal detection result, a throughput abnormal detection result and a reliability abnormal detection result;
the adjustment strategy determining module is used for determining an adjustment strategy corresponding to the abnormal detection result according to the abnormal detection result, wherein the abnormal detection result and the adjustment strategy are preconfigured with a corresponding relation;
and the adjustment strategy execution module is used for executing the adjustment strategy corresponding to the abnormal detection result and adjusting the configuration and/or parameter setting of the 5G customized private network.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor implements the 5G customized private network adjustment method according to any one of claims 1 to 8.
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