CN115442214A - Method, device, equipment, storage medium and program product for troubleshooting business abnormity - Google Patents
Method, device, equipment, storage medium and program product for troubleshooting business abnormity Download PDFInfo
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Abstract
The application relates to a method, a device, equipment, a storage medium and a program product for troubleshooting service abnormity. The method comprises the following steps: firstly, acquiring a baseline of an application parameter and a baseline of a network parameter of a target application corresponding to a current time period, then acquiring a real-time parameter of the target application, wherein the real-time parameter comprises the real-time application parameter and the real-time network parameter, and finally determining whether the wide area network is abnormal or not according to whether the real-time parameter is located in a range corresponding to the baseline or not. The application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and the wide area network, and the baseline is obtained through prediction according to historical application parameters and historical network parameters of the target application in the last period of the current period. By adopting the method, whether the wide area network is abnormal or not can be automatically checked.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for troubleshooting a business anomaly.
Background
In the field of internet finance, the success rate of business transaction is reduced due to a plurality of reasons, such as network problems, application program problems, database problems, server problems and the like. Therefore, when the success rate of the business transaction is reduced, a professional technician needs to check the reasons one by one to locate the specific reason causing the reduction of the success rate of the business transaction. However, this manual troubleshooting method is inefficient.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a device, a storage medium, and a program product for automatically troubleshooting a wide area network problem.
In a first aspect, the present application provides a method for troubleshooting service anomalies. The method comprises the following steps: acquiring a baseline of a target application corresponding to a current time period, wherein the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by predicting according to historical application parameters and historical network parameters of the target application in a previous time period of the current time period; acquiring real-time parameters of a target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters; and determining whether the wide area network is abnormal or not according to whether the real-time parameters are positioned in the range corresponding to the baseline or not.
In one embodiment, the application parameters include an application response time parameter, an application success rate parameter, and an application traffic parameter, and the network parameters include a network link packet loss parameter.
In one embodiment, determining whether the wide area network is abnormal according to whether the real-time parameter is within the range corresponding to the baseline includes: determining whether the real-time application parameters are within a range corresponding to a baseline of the application parameters; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In one embodiment, determining whether the wide area network is abnormal according to whether the real-time network parameter is located in a range corresponding to the baseline of the network parameter includes: judging whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In one embodiment, determining whether the real-time application parameter is within a range corresponding to the baseline application parameter comprises: determining whether the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in a range corresponding to a baseline of the application parameter; if yes, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In one embodiment, before obtaining the baseline of the target application corresponding to the current time period, the method further includes: and inputting historical application parameters and historical network parameters of the target application in the last period of the current period into the prophet model to obtain the baselines of the corresponding application parameters and the corresponding baselines of the network parameters.
In one embodiment, the determining whether the real-time network link packet loss parameter is within a range corresponding to a baseline of the network parameter includes: acquiring the time when the real-time application parameters are not in the range corresponding to the baseline of the application parameters; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
In a second aspect, the application further provides a service exception troubleshooting device. The device includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a baseline of a target application corresponding to a current time period, the baseline comprises a baseline of an application parameter and a baseline of a network parameter, the application parameter is used for representing the running condition of the target application, the network parameter is used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters and historical network parameters of the target application in a previous time period of the current time period;
the second acquisition module is used for acquiring real-time parameters of the target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters;
and the determining module is used for determining whether the wide area network is abnormal or not according to whether the real-time parameters are positioned in the range corresponding to the baseline or not.
In one embodiment, the application parameters include an application response time parameter, an application success rate parameter, and an application traffic parameter, and the network parameters include a network link packet loss parameter.
In one embodiment, the determining module is specifically configured to determine whether the real-time application parameter is within a range corresponding to a baseline of the application parameter; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In one embodiment, the determining module is specifically configured to determine whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In one embodiment, the determining module is specifically configured to determine whether the real-time application response time parameter, the real-time application success rate parameter, and the real-time application traffic parameter are all located within a range corresponding to a baseline of the application parameter; if so, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In one embodiment, the apparatus further includes a prediction module, configured to input historical application parameters and historical network parameters of the target application in a previous period of the current period into a prophet model, so as to obtain a baseline of the corresponding application parameters and a baseline of the corresponding network parameters.
In one embodiment, the determining module is specifically configured to obtain a time when the real-time application parameter is not within a range corresponding to a baseline of the application parameter; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the method of troubleshooting a traffic abnormality as described in any one of the above first aspects when the processor executes the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method of troubleshooting traffic anomalies as described in any of the first aspects above.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements a method of troubleshooting a business anomaly as described in any one of the above first aspects.
The method, the device, the equipment, the storage medium and the program product for eliminating the service abnormity comprise the steps of firstly obtaining a baseline of an application parameter and a baseline of a network parameter of a target application corresponding to a current time interval, then obtaining a real-time parameter of the target application, wherein the real-time parameter comprises a real-time application parameter and a real-time network parameter, and finally determining whether the wide area network is abnormal or not according to whether the real-time parameter is located in a range corresponding to the baseline or not. The application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and the wide area network, and the baseline is obtained through prediction according to historical application parameters and historical network parameters of the target application in the last period of the current period. By the method, the baseline of the application parameters and the baseline of the network parameters are determined according to the historical parameters, when the service is abnormal, the real-time application parameters and the real-time network parameters of the service are obtained, and the real-time application parameters and the real-time network parameters are compared with the baseline of the application parameters and the baseline of the network parameters, so that whether the wide area network is abnormal or not is determined, and the automatic troubleshooting of the wide area network problem is realized.
Drawings
FIG. 1 is a flow chart illustrating a method for troubleshooting traffic anomalies according to an embodiment;
FIG. 2 is a second flowchart illustrating a troubleshooting method for traffic anomaly according to another embodiment;
fig. 3 is a third schematic flow chart of a troubleshooting method for abnormal traffic in another embodiment;
FIG. 4 is a fourth flowchart illustrating a troubleshooting method for traffic abnormality in another embodiment;
FIG. 5 is a fifth flowchart illustrating a method for troubleshooting traffic anomalies in another embodiment;
fig. 6 is a sixth schematic flowchart of a traffic anomaly troubleshooting method in another embodiment;
FIG. 7 is a flowchart of a traffic anomaly troubleshooting method in another embodiment;
FIG. 8 is a block diagram of a traffic abnormality troubleshooting apparatus in one embodiment;
FIG. 9 is a diagram of an internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the field of internet finance, the success rate of business transaction is reduced due to a plurality of reasons, such as network problems, application program problems, database problems, server problems and the like. Therefore, when the success rate of the service transaction is reduced, professional technicians are required to check the reasons one by one to judge whether the wide area network has problems, whether the application program has problems, whether the database has problems and whether the server has problems, and then the reasons which specifically cause the reduction of the success rate of the service transaction can be located. However, this manual examination is inefficient.
In view of this, the present application provides a method for troubleshooting service abnormality, where when a service is abnormal, a real-time parameter is obtained to determine whether the wide area network is abnormal, and if the wide area network is abnormal, it is determined that the service abnormality may be caused by the wide area network abnormality, and if the wide area network is not abnormal, it is determined that the service abnormality is not a cause of the wide area network, thereby implementing automatic troubleshooting of the problem of the wide area network.
In an embodiment, as shown in fig. 1, a method for troubleshooting service abnormality is provided, which is described by taking the method as an example of being applied to a terminal, and it is to be understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and is implemented by interaction between the terminal and the server. The method comprises the following steps:
The baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and the wide area network, and the baseline is obtained through prediction according to historical application parameters and historical network parameters of the target application in the last period of the current period.
The target application is an application with abnormal service, and whether the reason of the abnormal service is influenced by the problem of the wide area network needs to be analyzed. The baseline of the application parameter is a range corresponding to the parameter value under the normal condition of the application parameter, and comprises an upper limit and a lower limit, and the baseline of the network parameter is a range corresponding to the parameter value under the normal condition of the network parameter, and comprises an upper limit and a lower limit. The application parameters represent various real-time states of the application in the running process, and may include response time, success rate, and the like. The network parameter represents a state of a network of a wide area network on which the target application operates, and may include a network link packet loss rate and the like. Optionally, only one application is running on the more important network link. The application parameter baseline and the network parameter baseline are obtained by predicting through a model according to the historical application parameters and the historical network parameters of the target application in the previous period of the current period. For example: the ratio of 0: and 00 is marked as T, time sequence data of the application parameters and time sequence data of the network parameters in the time period from T-7 to T +7 are input into the model to be predicted to obtain the base line of the application parameters and the base line of the network parameters in the time period from T to T +7, namely the base line of the current time period is predicted according to historical parameter data, and the base line of the next time period is obtained by sequentially iterating different time periods, so that the accuracy of the base line is higher.
And 102, the terminal acquires real-time parameters of the target application.
The real-time parameters comprise real-time application parameters and real-time network parameters. The real-time parameters refer to application parameters in the current time period and network parameters in the current time period. The application parameters and the network parameters are a piece of time series data. When the service of the target application is abnormal and needs to be judged to be influenced by what reason, the real-time parameters of the current time period of the target application are obtained for judgment.
And 103, the terminal determines whether the wide area network is abnormal or not according to whether the real-time parameters are located in the range corresponding to the baseline or not.
The terminal judges whether the acquired real-time application parameters are located in the range corresponding to the baseline of the application parameters, namely whether the time sequence data of the application parameters in a period of time are located between the upper limit and the lower limit of the time corresponding to the baseline of the application parameters. And judging whether the real-time network parameters are positioned in a range corresponding to the baseline of the network parameters, namely judging whether the time sequence time of the network parameters in a period of time is positioned between the upper limit and the lower limit of the time corresponding to the baseline of the network parameters, and determining whether the wide area network operated by the target application is abnormal or not according to the judgment.
In the method for removing the fault in the business, firstly, a baseline of an application parameter and a baseline of a network parameter of a target application corresponding to a current time period are obtained, then a real-time parameter including the real-time application parameter and the real-time network parameter of the target application is obtained, and finally, whether the wide area network is abnormal or not is determined according to whether the real-time parameter is located in a range corresponding to the baseline or not. The application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and the wide area network, and the baseline is obtained through prediction according to historical application parameters and historical network parameters of the target application in the last period of the current period. By the method, the baseline of the application parameters and the baseline of the network parameters are determined according to the historical parameters, when the service is abnormal, the real-time application parameters and the real-time network parameters of the service are obtained, and the real-time application parameters and the real-time network parameters are compared with the baseline of the application parameters and the baseline of the network parameters, so that whether the wide area network is abnormal or not is determined, and the automatic troubleshooting of the wide area network problem is realized.
Optionally, the application parameter includes an application response time parameter, an application success rate parameter, and an application traffic parameter, and the network parameter includes a network link packet loss parameter. The application response time parameter is used for representing the response time of the application, the application success rate parameter is used for representing the success rate of application execution, and the application flow parameter is used for representing the flow in the application running process. The network link packet loss parameter is used for representing the packet loss condition of the wide area network link where the application is located. The application response time parameter, the application success rate parameter, the application flow parameter and the network link packet loss parameter are all time sequence data.
In one embodiment, determining whether the wide area network is abnormal may be determined according to whether the acquired real-time parameters are within a range corresponding to the baseline, as shown in fig. 2, which includes the steps of:
in step 201, the terminal determines whether the real-time application parameter is within a range corresponding to a baseline of the application parameter.
The baseline of the application parameters comprises an upper limit of the application parameters and a lower limit of the application parameters, and whether the real-time application parameters are located in a range corresponding to the baseline of the application parameters is determined, namely whether the real-time application parameters are both located in the upper limit and the lower limit of the application parameters corresponding to the time.
Specifically, if the real-time application parameters are all located within the upper limit and the lower limit of the application parameters corresponding to the time, it is determined that the wide area network is not abnormal, and the service abnormality is not affected by the wide area network, so that the reason does not need to be paid attention to.
And 203, if not, the terminal determines whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
If the real-time application parameters are not all located within the upper limit and the lower limit of the application parameters at the corresponding time, that is, the application parameters exceed the upper limit or the lower limit corresponding to the baseline of the application parameters at the corresponding time, at this time, whether the real-time network parameters are located within the range corresponding to the baseline of the network parameters is continuously judged, and whether the wide area network is abnormal or not is determined according to the judgment result of the real-time network parameters.
In the above embodiment, it is first determined whether the application parameter of the target application exceeds the baseline of the application parameter, and if the application response time, the application success rate, and the application traffic are all within the corresponding baseline, it indicates that the wide area network is normal, and it is not necessary to determine the network parameter, thereby saving the troubleshooting time and improving the efficiency.
In an embodiment, when the application parameter determines that an anomaly occurs, the step of determining whether the wide area network has the anomaly according to whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter is shown in fig. 3, and includes:
The baseline of the network parameters comprises an upper limit and a lower limit, and whether the real-time network parameters are located in a range corresponding to the baseline of the network parameters is determined, namely whether the real-time network parameters are located in the upper limit and the lower limit of the network parameters corresponding to time.
And 302, if yes, determining that the wide area network is not abnormal.
Specifically, if the real-time network parameters are all located within the upper limit and the lower limit of the network parameters at the corresponding time, it is determined that the wide area network is not abnormal, and the service abnormality is not affected by the wide area network, so that the reason does not need to be paid attention to.
If the real-time network parameters are not all located within the upper limit and the lower limit of the network parameters at the corresponding time, that is, the network parameters exceed the upper limit or the lower limit corresponding to the baseline of the network parameters at the corresponding time, it is determined that the wide area network is abnormal at this moment. Reference can be provided for operation and maintenance personnel, and the service abnormity at the moment can be influenced by wide area network abnormity.
Optionally, determining whether the real-time application parameter is located in a range corresponding to the baseline of the application parameter, as shown in fig. 4, includes the specific steps of:
Optionally, the baseline of the application parameter includes a baseline of an application response time, a baseline of an application success rate, and a baseline of an application traffic. The terminal respectively determines whether the real-time application response time parameter is located in a range corresponding to a baseline of the application response time, whether the real-time application success rate parameter is located in a range corresponding to a baseline of the application success rate, and whether the real-time application flow parameter is located in a range corresponding to a baseline of the application flow.
And if the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in the range corresponding to the baseline, determining that the real-time application parameters are located in the range corresponding to the baseline of the application parameters.
And if any one of the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter exceeds the range corresponding to the baseline, determining that the real-time application parameter is not located in the range corresponding to the baseline of the application parameter.
In an embodiment of the present application, the baseline of the target application corresponding to the current time is obtained through historical parameters of the target application, and the specific steps further include: and inputting historical application parameters and historical network parameters of the target application in the previous period of the current period into the prophet model to obtain the baseline of the corresponding application parameters and the baseline of the corresponding network parameters.
The prophet model is a time series prediction model, and the length of a time series to be predicted is input by inputting a known time series comprising a time stamp of the time series and a corresponding value; the prophet model can then output the trend of the future time series, and the output result can provide necessary statistical indexes including a fitting curve, an upper limit of the time series, a lower limit of the time series and the like. Therefore, when the baseline of the target application corresponding to the current time interval is desired to be obtained, the historical application parameters and the historical network parameters of the target application in the previous time interval of the current time interval are respectively input into the prophet model, and the baseline of the corresponding application parameters and the baseline of the corresponding network parameters are obtained. The selectable application parameter baselines further include an application response time baseline, an application success rate baseline, and an application traffic baseline, and the network parameter baselines include a network link baseline.
In the embodiment, the prediction baseline of the next time interval is obtained through the historical data of the previous time interval through the model, the prediction process of the baseline is obtained continuously by iteration according to the historical data of the previous time interval of the current time interval, and the baseline obtained in the mode is more accurate, so that the accuracy of the judgment result can be improved.
Optionally, in order to ensure the accuracy of determining the real-time network link packet loss parameter, the step of determining whether the network link packet loss parameter is located in the range corresponding to the baseline of the network parameter is shown in fig. 5, and includes:
And if any one of the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter exceeds the corresponding range of the baseline, acquiring the time when any one of the real-time application parameters exceeds the corresponding range of the baseline of the application parameter.
When judging whether the real-time network link packet loss parameter is located in the range corresponding to the baseline of the network parameter, acquiring time series data of the real-time network link packet loss parameter in a preset time range before and after the time point according to the acquired time point, optionally, recording the time when the real-time application parameter exceeds the range corresponding to the baseline of the application parameter as T2, and judging whether the time series data of the network link packet loss parameter in the time period from T2-5 to T2+5 is located in the range corresponding to the baseline of the network parameter in the corresponding time, wherein the preset time can be 5 minutes. Wherein the preset time can be set.
In the embodiment, by acquiring the time period when the application parameter is abnormal and then judging whether the time sequence data of the network parameter of a period of time before and after the abnormal time period is in the range corresponding to the baseline, the obtained judgment result is more accurate because the abnormal time is more definite.
In an embodiment of the present application, please refer to fig. 6, which shows a schematic flowchart of a method for troubleshooting service abnormality provided in an embodiment of the present application, where the method for troubleshooting service abnormality includes the following steps:
And step 604, if yes, determining that the wide area network is not abnormal.
If not, determining that the wide area network is abnormal, step 608.
For the convenience of the reader to understand the technical solution provided in the embodiment of the present application, the following illustrates an overall flow of the service exception troubleshooting method of the present application. Please refer to fig. 7.
Firstly, historical network link packet loss data, application response time, application success rate and time sequence data of application flow are obtained, a prophet model is input for prediction, and a network link packet loss baseline, an application response time baseline, an application success rate baseline and an application flow baseline in the current time period are obtained. For example, the iterative prediction of data is performed in a period of one week, when 0 of day 6.27 is.
Then, network link packet loss data, application response time, application success rate and time sequence data of application flow in real time, namely, in a time period of, for example, 6.30 to 6.30.16 in a current time period are obtained, and whether the real-time application response time is in a range corresponding to the baseline of the application response time in the predicted time period is judged, if yes, whether the real-time application success rate is in a range corresponding to the baseline of the application success rate in the predicted time period is continuously judged, and if not, whether the real-time network link packet loss data is in a range corresponding to the network link packet loss baseline in the predicted time period is judged. And judging whether the real-time application success rate is in a range corresponding to the application success rate baseline, if so, judging whether the real-time application flow is in a range corresponding to the application flow baseline, and if not, judging whether the real-time network link packet loss data is in a range corresponding to the network link packet loss baseline. And judging whether the real-time application flow is in a range corresponding to the application flow baseline, if so, indicating that the wide area network is not abnormal at the moment, and not paying attention, namely, the service abnormality is not influenced by the wide area network abnormality, and if not, judging whether the real-time network link packet loss data is in a range corresponding to the network link packet loss baseline. And judging whether the real-time network link packet loss data is located in a range corresponding to the network link packet loss baseline. If the wide area network is not abnormal at the moment, attention is not needed, namely the service abnormality is not influenced by the wide area network abnormality, if the wide area network is not abnormal at the moment, the wide area network is abnormal at the moment, and the service abnormality can be influenced by the wide area network abnormality.
Optionally, then at time 6.28, 00, the prediction is performed using data from 6.21 0.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a service abnormality troubleshooting device for realizing the service abnormality troubleshooting method. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the method, so the specific limitations in one or more embodiments of the service abnormality troubleshooting apparatus provided below can be referred to the limitations on the service abnormality troubleshooting method in the foregoing, and details are not described here.
In one embodiment, as shown in fig. 8, there is provided a traffic abnormality troubleshooting apparatus 800 including: a first obtaining module 801, a second obtaining module 802, and a determining module 803, wherein:
the first obtaining module 801 is configured to obtain a baseline of a target application corresponding to a current time period, where the baseline includes a baseline of an application parameter and a baseline of a network parameter, the application parameter is used to characterize an operating condition of the target application, the network parameter is used to characterize an interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to a historical application parameter and a historical network parameter of the target application in a previous time period of the current time period;
the second obtaining module 802 is configured to obtain real-time parameters of the target application, where the real-time parameters include real-time application parameters and real-time network parameters;
the determining module 803 is configured to determine whether the wide area network is abnormal according to whether the real-time parameter is located in a range corresponding to the baseline.
In an embodiment of the present application, the application parameters include an application response time parameter, an application success rate parameter, and an application traffic parameter, and the network parameters include a network link packet loss parameter.
In an embodiment of the present application, the determining module 803 is specifically configured to determine whether the real-time application parameter is located in a range corresponding to a baseline of the application parameter; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In an embodiment of the present application, the determining module 803 is specifically configured to determine whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In an embodiment of the present application, the determining module 803 is specifically configured to determine whether the real-time application response time parameter, the real-time application success rate parameter, and the real-time application traffic parameter are all located within a range corresponding to a baseline of the application parameter; if yes, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In an embodiment of the present application, the apparatus further includes a prediction module, where the prediction module is configured to input historical application parameters and historical network parameters of the target application in a previous time period of a current time period into a prophet model, and obtain a baseline of the corresponding application parameters and a baseline of the corresponding network parameters.
In an embodiment of the present application, the determining module 803 is specifically configured to obtain a time when the real-time application parameter is not within a range corresponding to a baseline of the application parameter; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
All or part of each module in the service exception troubleshooting device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of troubleshooting business exceptions. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of:
acquiring a baseline of a target application corresponding to a current time period, wherein the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters of the target application and historical network parameters in the last time period of the current time period; acquiring real-time parameters of a target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters; and determining whether the wide area network is abnormal or not according to whether the real-time parameters are positioned in the range corresponding to the baseline or not.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the application parameters comprise an application response time parameter, an application success rate parameter and an application flow parameter, and the network parameters comprise a network link packet loss parameter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time parameters are located in the range corresponding to the baseline, comprising the following steps: determining whether the real-time application parameters are within a range corresponding to a baseline of the application parameters; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In one embodiment, the processor when executing the computer program further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time network parameters are located in a range corresponding to the baseline of the network parameters, comprising: judging whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining whether the real-time application parameter is within a range corresponding to a baseline of the application parameter, including: determining whether the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in a range corresponding to a baseline of the application parameter; if yes, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In one embodiment, the processor when executing the computer program further performs the steps of: before obtaining the baseline of the target application corresponding to the current time period, the method further includes: and inputting historical application parameters and historical network parameters of the target application in the previous period of the current period into the prophet model to obtain the baseline of the corresponding application parameters and the baseline of the corresponding network parameters.
In one embodiment, the processor, when executing the computer program, further performs the steps of: judging whether the real-time network link packet loss parameter is in a range corresponding to a baseline of the network parameter, including: acquiring the time when the real-time application parameters are not in the range corresponding to the baseline of the application parameters; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a baseline of a target application corresponding to a current time period, wherein the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters of the target application and historical network parameters in the last time period of the current time period; acquiring real-time parameters of a target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters; and determining whether the wide area network is abnormal or not according to whether the real-time parameters are positioned in the range corresponding to the baseline or not.
In one embodiment, the computer program when executed by the processor further performs the steps of: the application parameters comprise an application response time parameter, an application success rate parameter and an application flow parameter, and the network parameters comprise a network link packet loss parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time parameters are located in the range corresponding to the baseline, comprising the following steps: determining whether the real-time application parameters are within a range corresponding to a baseline of the application parameters; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time network parameters are located in a range corresponding to the baseline of the network parameters, comprising: judging whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the real-time application parameter is within a range corresponding to the baseline application parameter, including: determining whether the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in a range corresponding to a baseline of the application parameter; if so, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: before obtaining the baseline of the target application corresponding to the current time period, the method further includes: and inputting historical application parameters and historical network parameters of the target application in the previous period of the current period into the prophet model to obtain the baseline of the corresponding application parameters and the baseline of the corresponding network parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging whether the real-time network link packet loss parameter is in a range corresponding to a baseline of the network parameter, including: acquiring the time when the real-time application parameters are not in the range corresponding to the baseline of the application parameters; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a baseline of a target application corresponding to a current time period, wherein the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters of the target application and historical network parameters in the last time period of the current time period; acquiring real-time parameters of a target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters; and determining whether the wide area network is abnormal or not according to whether the real-time parameters are located in the range corresponding to the baseline or not.
In one embodiment, the computer program when executed by the processor further performs the steps of: the application parameters comprise an application response time parameter, an application success rate parameter and an application flow parameter, and the network parameters comprise a network link packet loss parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time parameters are located in the range corresponding to the baseline, comprising the following steps: determining whether the real-time application parameters are within a range corresponding to a baseline of the application parameters; if yes, determining that the wide area network is not abnormal; if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the wide area network is abnormal according to whether the real-time network parameters are located in a range corresponding to the baseline of the network parameters, including: judging whether the real-time network parameter is located in a range corresponding to a baseline of the network parameter; if yes, determining that the wide area network is not abnormal; if not, determining that the wide area network is abnormal.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining whether the real-time application parameter is within a range corresponding to a baseline of the application parameter, including: determining whether the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in a range corresponding to a baseline of the application parameter; if yes, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters; and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: before obtaining the baseline of the target application corresponding to the current time period, the method further includes: and inputting historical application parameters and historical network parameters of the target application in the last period of the current period into the prophet model to obtain the baselines of the corresponding application parameters and the corresponding baselines of the network parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging whether the real-time network link packet loss parameter is in a range corresponding to a baseline of the network parameter, including: acquiring the time when the real-time application parameters are not in the range corresponding to the baseline of the application parameters; and judging whether the real-time network link packet loss parameter in the preset time range before and after the time is in the range corresponding to the baseline of the network parameter.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein can include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (11)
1. A method for troubleshooting traffic anomalies, the method comprising:
acquiring a baseline of a target application corresponding to a current time period, wherein the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters and historical network parameters of the target application in the last time period of the current time period;
acquiring real-time parameters of the target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters;
and determining whether the wide area network is abnormal or not according to whether the real-time parameters are located in the range corresponding to the baseline or not.
2. The method of claim 1, wherein the application parameters comprise an application response time parameter, an application success rate parameter, and an application traffic parameter, and wherein the network parameters comprise a network link packet loss parameter.
3. The method of claim 2, wherein determining whether the wide area network is abnormal according to whether the real-time parameter is within the range corresponding to the baseline comprises:
determining whether the real-time application parameters are within a range corresponding to a baseline of the application parameters;
if yes, determining that the wide area network is not abnormal;
if not, determining whether the wide area network is abnormal or not according to whether the real-time network parameters are located in the range corresponding to the baseline of the network parameters or not.
4. The method of claim 3, wherein determining whether the wide area network is abnormal based on whether the real-time network parameter is within a range corresponding to the baseline of the network parameter comprises:
judging whether the real-time network parameters are located in a range corresponding to the base line of the network parameters;
if yes, determining that the wide area network is not abnormal;
if not, determining that the wide area network is abnormal.
5. The method of claim 2, wherein determining whether the real-time application parameter is within a range corresponding to a baseline of the application parameter comprises:
determining whether the real-time application response time parameter, the real-time application success rate parameter and the real-time application flow parameter are all located in a range corresponding to a baseline of the application parameters;
if so, determining that the real-time application parameters are located in a range corresponding to the baseline of the application parameters;
and if not, determining that the real-time application parameters are not located in the range corresponding to the baseline of the application parameters.
6. The method according to any one of claims 2 to 5, wherein before the obtaining of the baseline of the target application corresponding to the current time period, the method further comprises:
inputting historical application parameters and historical network parameters of the target application in the last period of the current period into a prophet model to obtain corresponding application parameter baselines and corresponding network parameter baselines.
7. The method according to claim 4, wherein said determining whether the real-time network link packet loss parameter is within a range corresponding to the baseline of the network parameter comprises:
acquiring the time when the real-time application parameters are not in the range corresponding to the baseline of the application parameters;
and judging whether the real-time network link packet loss parameter in a preset time range before and after the time is located in a range corresponding to the baseline of the network parameter.
8. A traffic abnormality troubleshooting apparatus, characterized in that the apparatus comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a baseline of a target application corresponding to a current time period, the baseline comprises a baseline of application parameters and a baseline of network parameters, the application parameters are used for representing the running condition of the target application, the network parameters are used for representing the interaction condition of the target application and a wide area network, and the baseline is obtained by prediction according to historical application parameters and historical network parameters of the target application in a previous time period of the current time period;
the second acquisition module is used for acquiring real-time parameters of the target application, wherein the real-time parameters comprise real-time application parameters and real-time network parameters;
and the determining module is used for determining whether the wide area network is abnormal or not according to whether the real-time parameters are located in the range corresponding to the baseline or not.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 7 when executed by a processor.
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