CN115037636A - Service quality perception method and device, electronic equipment and storage medium - Google Patents
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- H04L41/06—Management of faults, events, alarms or notifications
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Abstract
The application provides a service quality sensing method, a service quality sensing device, an electronic device and a storage medium, wherein the method comprises the following steps: sending a service request to a target service based on the configuration information of the sensing task to trigger the target service to run so as to obtain running data of the target service; and determining the service quality index of the target service based on the operation data of the target service. According to the technical scheme of the embodiment of the application, the active sensing is adopted to replace the passive feedback receiving, so that the timeliness of the service quality sensing can be improved.
Description
Technical Field
The present application relates to the field of cloud services, and in particular, to a method and an apparatus for sensing quality of service, an electronic device, and a storage medium.
Background
In some scenes with high requirements on system stability, for example, in a risk early warning scene in the wind control field, any change inside or outside the system will bring a great influence on the service provided by the system, so it is very important to sense the service quality of the system service and perform risk early warning as soon as possible. However, the conventional qos monitoring tool can only passively monitor qos depending on the result of the client request, and cannot timely sense qos.
Disclosure of Invention
The embodiment of the application provides a service quality perception method, a service quality perception device, an electronic device and a storage medium, and aims to solve the problems in the related art, and the technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a method for sensing quality of service, including:
sending a service request to a target service based on the configuration information of the sensing task to trigger the target service to run so as to obtain running data of the target service;
and determining the service quality index of the target service based on the operation data of the target service.
In a second aspect, an embodiment of the present application provides an apparatus for sensing quality of service, including:
the triggering module is used for sending a service request to the target service based on the configuration information of the perception task so as to trigger the target service to run and obtain running data of the target service;
and the index determining module is used for determining the service quality index of the target service based on the operation data.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory, where the processor, when executing the computer program, implements the method provided in any embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method provided in any embodiment of the present application.
According to the technical scheme of the embodiment of the application, the sensing task can be configured in advance, the service request is sent to the target service based on the configuration information, and the target service can be triggered to operate actively, so that the operation data of the target service can be obtained in time and the service quality index can be determined. Therefore, according to the technical scheme of the embodiment of the application, the active sensing is adopted to replace the passive feedback receiving, and the timeliness of the service quality sensing can be improved.
The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present application will be readily apparent by reference to the drawings and following detailed description.
Drawings
In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
FIG. 1 is a schematic diagram of an exemplary scenario for implementing a quality of service aware approach;
FIG. 2 is a flow diagram of a method of quality of service awareness according to an embodiment of the present application;
FIG. 3 is a flow diagram of a method of quality of service awareness according to another embodiment of the present application;
fig. 4 is a schematic diagram of an application example of the method for sensing the quality of service according to the embodiment of the present application;
FIG. 5 is a block diagram of a quality of service aware apparatus according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
To more clearly show the method for sensing the quality of service provided in the embodiments of the present application, a scenario for implementing the method is first introduced. Fig. 1 illustrates an exemplary scenario for implementing a quality of service aware approach. The scene is an application scene of a SaaS (Software as a Service) product. The SaaS is to provide software service through a network, the SaaS platform supplier uniformly deploys application software on a server of the SaaS platform supplier, a client can order the required application software service through the Internet according to actual working requirements, and the payment is paid according to the amount and time of the ordered service. Common SaaS products are e-mail, office tools, etc. Different from the traditional software product, the SaaS product does not depend on localized deployment, and the infrastructure, middleware, application software, application data and the like of the SaaS product are located in a server, so that certain challenges exist in the aspect of ensuring service quality such as service stability. As shown in fig. 1, the client may send a normal service request to the service system through the service gateway to trigger the relevant service in the service system to run. Related service systems are deployed on a server of the SaaS service platform, and an internal stability guarantee early warning system can be deployed.
In practical applications, the stability of the service system may be affected by changes of various factors inside and outside, such as changes of various aspects of internal services, data, models, rules, and the like, and changes of external environments, networks, and the like. Based on this, it is necessary to monitor the quality of service to find stability problems before actual loss occurs, and to warn about risks in time. In the related art, stability can be secured from both the inside and the outside. On the one hand, overall and local stability guarantee is performed from inside the system, for example, full link monitoring, unattended operation, SRE (Site Reliability Engineering) guarantee, pressure measurement, disaster tolerance, and the like are performed by the internal stability guarantee early warning system shown in fig. 1. And on the other hand, the service is triggered based on the normal service request of the client, the relevant indexes of the service quality are obtained, and the service quality is sensed, monitored and evaluated.
The service quality sensing is carried out depending on the result of the external client request, and the service quality cannot be sensed all around the clock. In view of this, in the embodiment of the present application, a service quality sensing device may be set to actively trigger service operation, obtain relevant indexes of service quality, and timely implement sensing of service quality. For example, as shown in fig. 1, the sensing device may be connected to a service gateway, send a service request to the service system through the service gateway, and obtain operation data returned by the service system through the service gateway.
For example, a configuration center may be deployed in the sensing apparatus, and is used to configure the sensing task, for example, configure a sensing object and a sensing attribute corresponding to the sensing task, or configure an execution time and a frequency of the sensing task. The perception object may be a specific SaaS service, for example, multiple SaaS services are deployed in a service system, and a service for which current perception is intended may be specified in a configuration center. Perceptual attributes may refer to the type of quality of service that needs to be perceived, e.g., stability, time-consuming, availability, etc.
The sensing device can also be provided with a triggering sensing center which is used for actively triggering the sensing object to operate and collecting the return information of the sensing object, namely the operation data of the sensing object. Specifically, a service request may be sent to the SaaS service through the service gateway to trigger the operation of the SaaS service, and operation data of the SaaS service may be collected through the service gateway. Illustratively, the running data may include information of a running result of the service, a time when the running result is returned, and the like.
An analysis early warning center can be deployed in the sensing device. The analysis early warning center can be used for analyzing and calculating the data collected by the trigger perception center to obtain the service quality index of the perception object, so that the perception of the service quality is realized. The quality of service indicator may include indicator parameters for characterizing service stability, time consumption, availability, etc. Optionally, the analysis and early warning center may also be used to determine whether an alarm is required for quality of service.
Optionally, a fault processing center may be further deployed in the sensing device, and is used to perform troubleshooting and recovery on a fault to which the SaaS service belongs.
In order to understand the features and technical content of the embodiments of the present application more thoroughly, the following detailed description is given with reference to the accompanying drawings, which are for illustrative purposes only and are not intended to limit the embodiments of the present application.
Fig. 2 shows a flow diagram of a method of quality of service awareness according to an embodiment of the present application. The method may optionally be performed by, but is not limited to, the quality of service awareness means described above. As shown in fig. 2, the method may include:
s210, sending a service request to a target service based on the configuration information of the sensing task to trigger the target service to run so as to obtain running data of the target service;
s220, determining the service quality index of the target service based on the operation data of the target service.
In this embodiment of the present application, the sensing task may refer to a task for obtaining a quality of service indicator. Illustratively, the configuration information of the sensing task may include information related to a service to be sensed (i.e., a target service), information related to a quality of service index to be sensed, execution information of the sensing task (e.g., execution frequency, alarm condition), and the like.
Alternatively, configuration information for the perception task may be input by the user. Particularly, in the embodiment of the application, a flexible configuration function can be provided for a user through a configuration center, and a plurality of optional configurations are supported. For example, a user may be supported to configure a plurality of target services, or configure types of service quality indicators, such as stability indicators, time consumption indicators, availability indicators, and the like, and also configure execution frequency of a sensing task (i.e., trigger frequency of a target service), and related parameters of an alarm condition corresponding to the target service, such as an alarm threshold, and the like. That is, the configuration information of the perception task may include at least one of the following information: the type of the target service, the type of the service quality index, the trigger frequency of the target service, the related parameters of the alarm condition corresponding to the target service and the like.
For example, in the embodiment of the present application, the target service, that is, the service to be perceived, may be a SaaS service. The target service may be specified by configuration information of the sensing task or may be specified in advance. For example, a configuration center of a perceiving device may support configuring the type of target service, thereby specifying the service to be perceived through the user's configuration. Or, at least one service corresponding to the sensing task configured by the configuration center may be preset, and the information configured by the user through the configuration center is applicable to the at least one service.
For example, in the embodiment of the present application, a service request sent to a target service based on configuration information of a sensing task may be used to trigger target service operation, and the service request may simulate a service request sent by a client, so as to achieve the purpose of accessing and invoking the target service. In some scenarios, the service request may carry input information needed to invoke the service. Optionally, the configuration information of the perception task may include the input information, i.e. the input information may be preconfigured. For example, if the target service is an image processing service, an image may be configured in advance as input information, and the service request may carry the image configured in advance.
By triggering the target service to run, the running data of the target service can be obtained. Illustratively, the running data may include information on a running result of the service, a time when the running result is returned, and the like. The operation result has different expression forms aiming at different services. For example, the run result may include whether the service was successfully invoked, output information of the service, accuracy of the service, and the like.
Based on the operational data of the target service, a quality of service indicator for the target service may be determined. Illustratively, the service quality indicator may include a service stability indicator, a service time consumption indicator, an availability indicator, and the like. For example, based on the operation data obtained by the target service operating for a plurality of times, service Stability indicators such as MAD (Median Absolute Deviation), PSI (Population Stability Index), and the like of the target service may be determined. Time-consuming indicators such as RT (Response Time) of the target service may also be determined based on the Time information returned by the target service. The availability index of the target service may also be obtained based on whether the target service was successfully invoked.
According to the method, the sensing task can be configured in advance, the service request is sent to the target service based on the configuration information, and the target service can be triggered to operate actively, so that the operation data of the target service can be obtained in time and the service quality index can be determined. That is to say, the method adopts active sensing to replace passive feedback receiving, and the timeliness of service quality sensing can be improved.
In an exemplary embodiment, the step S210 of sending a service request to a target service based on configuration information of a sensing task to trigger the target service to run, and obtaining running data of the target service includes:
determining a target service and a trigger time based on configuration information of the sensing task;
and sending a service request to the target service according to the trigger time so as to trigger the target service to operate and obtain the operation data of the target service.
That is, in this embodiment, the configuration information of the aware task may indicate the target service and the trigger time. For example, the configuration information of the sensing task may include a trigger frequency of the sensing task, so that a periodic trigger time may be determined. The sensing device can periodically send service requests to the target service according to the trigger time to trigger the target service to run, and obtain multiple sets of running data corresponding to multiple running of the target service, so that service stability indexes, availability indexes and the like of the target service can be obtained by utilizing the multiple sets of running data.
In an exemplary embodiment, the step S220 of determining the quality of service indicator of the target service based on the operation data of the target service includes:
determining a service stability index of the target service based on the operation data of the target service and a reference baseline configured in advance; wherein the service stability indicator comprises an absolute median difference and/or a population stability indicator.
According to this embodiment, the service stability indicator determined in the above method comprises the median absolute difference and/or the population stability indicator PSI. The absolute median difference is a robust index describing the change of a metadata sample, and the calculation mode is as follows: for a plurality of original data, firstly calculating the median number, then calculating the absolute value of each original data minus the median number to form a plurality of new data, and then calculating the median number based on the plurality of new data. It can be seen that the median absolute difference is more robust to individual deviation data than other stability indicators. The PSI is an index for measuring deviation between an expected result and an actual result of a group, so that the stability of a target service is accurately measured. It can be seen that, in the embodiment, the statistical index and the algorithm which take sensitivity and robustness into consideration are adopted, and the service quality of the target service can be accurately and efficiently sensed and early warned.
In the above embodiment, the stability indicator is also determined using a reference baseline that is configured in advance. In the process of determining the service stability index, a plurality of operation data are required to be used for calculation or an expected result is required to be used for calculation, so that the reference baseline which is configured in advance can be used as the initialized operation data or the expected result, the service stability index can be obtained by triggering the target service for the first time, and the service quality can be perceived in time.
In some embodiments of the application, the service quality can be perceived by acquiring the service quality index, and risk early warning can be performed based on the service quality index. Illustratively, fig. 3 shows a flow diagram of a quality of service aware method according to another embodiment of the present application, the method comprising:
s310, sending a service request to a target service based on the configuration information of the sensing task to trigger the target service to run, and obtaining running data of the target service;
s320, determining a service quality index of the target service based on the running data of the target service;
s330, outputting alarm information under the condition that the service quality index meets the alarm condition.
Wherein the alarm condition may be associated with an alarm threshold. For example, the alarm condition may be that the response time of the target service is greater than a first threshold or the population stability indicator is greater than a second threshold, etc. Optionally, the alarm threshold may be included in the configuration information of the sensing task, that is, the alarm threshold may also be configured in advance.
Optionally, the method for sensing the quality of service may further include:
and under the condition that the alarm information belongs to the misinformation information, adjusting related parameters of the alarm condition based on the service quality index.
For example, whether the alarm information belongs to the false alarm information may be determined by manual review or by a judgment based on rules. If the alarm condition belongs to the false alarm, the related parameters of the alarm condition can be adjusted based on the current service quality index and the conclusion of the false alarm. Wherein the relevant parameter is, for example, the alarm threshold value. Illustratively, the initialized alarm threshold may be preconfigured, after which an algorithm may be employed to determine the alarm threshold. For example, the algorithm may be retrained based on one or more information such as a service quality indicator corresponding to the false alarm information, an operating environment of the target service, and a trigger time, so that the algorithm outputs a new alarm threshold. Therefore, the related parameters of the alarm conditions can be intelligently adjusted, and the accuracy of alarm is improved.
Optionally, the method for sensing the quality of service may further include:
and under the condition that the alarm information does not belong to the false alarm information, determining the fault to which the target service belongs according to the type of the service quality index.
That is to say, if a certain service quality index causes alarm information and does not belong to false alarm, the fault to which the target service belongs can be determined according to the type of the service quality index, so that the target service can be checked and recovered.
In order to more clearly present the technical idea of the present application, a specific application example is provided below with reference to the accompanying drawings. In this application example, the apparatus for sensing quality of service comprises 4 modules: the system comprises a configuration center, a triggering perception center, an analysis early warning center and a fault processing center, and the configuration center, the triggering perception center, the analysis early warning center and the fault processing center jointly act on the SaaS service to be perceived. The specific process is shown in fig. 4, and includes:
1. operation of a configuration center
When the module is operated, the method comprises the following two steps: service-aware configuration, service-aware startup and initialization.
The service aware configuration contains 3 settings for the content:
1) the method comprises the steps of sensing and monitoring SaaS configuration, namely configuring target SaaS service content and types needing sensing and monitoring;
2) sensing and monitoring service attribute configuration, namely configuring a service quality item of a target SaaS service to be sensed and monitored;
3) and monitoring and alarm configuration, namely configuration perception, monitoring frequency, server area (region), main body (for example, responsible department) responsible for the early warning system, alarm index, threshold value and the like.
Service-aware startup and initialization is initiated primarily against reference baselines needed for subsequent early warning analysis phases.
2. Triggering operation of a perception center
After the service sensing is started, the triggering sensing center can actively trigger a sensing object (namely, the SaaS service) according to the setting of the configuration center, and collects the service quality index by monitoring the return result of the SaaS service.
3. Operation of an analysis and early warning center
The analysis early warning center carries out intelligent analysis on the data collected by the trigger sensing center to obtain a service quality index so as to sense the service quality of the SaaS service. And under the condition that the abnormal index exists, judging whether the abnormal index reaches an alarm threshold value. Taking the group stability index of the service as an example, the operation of the module comprises:
1) index calculation: calculating a service stability index according to the service perception task result of the current real-time batch;
2) early warning judgment: and the related personnel in charge of the service quality can recheck the alarm result, the conclusion which belongs to the false alarm is fed back to the intelligent analysis system for algorithm retraining, and the related personnel which belongs to the correct alarm can enter a fault processing center for fault troubleshooting.
4. Fault processing center
And (4) checking and recovering the SaaS service faults.
Therefore, the service quality perception method has the following characteristics:
1. and multiple optional configurations can support the configuration of the complex perception object. If various monitoring objects can be flexibly configured, the perception attributes such as group stability, time consumption, availability and the like can be configured, and the attributes of perception tasks such as monitoring subjects, monitoring frequency and the like can be configured
2. The monitoring object can be sensed all weather, actively triggered, and a monitoring result is returned. By simulating real invocation of the client, the quality of service can be touched and perceived without interruption for 7 × 24 hours.
3. The intelligent analysis alarm can be carried out, the service quality parameters are obtained according to the service result returned by the sensing system, and whether the service index meets the alarm standard or not is intelligently analyzed.
Corresponding to the application scenario and method of the method provided in the embodiment of the present application, the embodiment of the present application further provides a device 500 for sensing quality of service. Referring to fig. 5, the apparatus 500 may include:
the triggering module 510 is configured to send a service request to a target service based on configuration information of the sensing task to trigger the target service to run, so as to obtain running data of the target service;
and the analysis and early warning module 520 is configured to determine a service quality indicator of the target service based on the operation data.
Optionally, in this embodiment, the triggering module 510 may include:
determining a target service and a trigger time based on configuration information of the sensing task;
and sending a service request to the target service according to the trigger time so as to trigger the target service to operate and obtain the operating data of the target service.
Optionally, in this embodiment of the present application, the analysis and early warning module 520 is specifically configured to:
determining a service stability index of the target service based on the operation data of the target service and a pre-configured reference baseline; wherein the service stability indicator comprises an absolute median difference and/or a population stability indicator.
Optionally, in this embodiment of the present application, the analysis and early warning module 520 is further configured to output alarm information when the service quality indicator meets the alarm condition.
Optionally, in this embodiment of the present application, the analysis and early warning module 520 is further configured to adjust a relevant parameter of the warning condition based on the quality of service indicator when the warning information belongs to the false warning information.
Optionally, in this embodiment of the present application, the apparatus 500 for sensing quality of service may further include:
and the fault processing module is used for determining the fault of the target service according to the type of the service quality index under the condition that the alarm information does not belong to the false alarm information.
Optionally, the apparatus 500 for sensing quality of service may further include a configuration module, configured to determine configuration information of the sensing task, where the configuration information of the sensing task includes at least one of the following information: the type of the target service, the type of the service quality index, the trigger frequency of the target service and the related parameters of the alarm condition corresponding to the target service.
The functions of the modules in the apparatuses in the embodiment of the present application may refer to the corresponding descriptions in the above method, and have corresponding beneficial effects, which are not described herein again.
The embodiment of the application also provides electronic equipment for realizing the method. Fig. 6 shows a block diagram of an electronic device according to an embodiment of the present application. As shown in fig. 6, the electronic apparatus includes: a memory 610 and a processor 620, the memory 610 having stored therein computer programs operable on the processor 620. The processor 620, when executing the computer program, implements the quality of service aware method in the above embodiments. The number of the memory 610 and the processor 620 may be one or more.
The electronic device further includes:
the communication interface 630 is used for communicating with an external device to perform data interactive transmission.
If the memory 610, the processor 620 and the communication interface 630 are implemented independently, the memory 610, the processor 620 and the communication interface 630 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
Optionally, in an implementation, if the memory 610, the processor 620, and the communication interface 630 are integrated on a chip, the memory 610, the processor 620, and the communication interface 630 may complete communication with each other through an internal interface.
Embodiments of the present application further provide a computer-readable storage medium, which stores a computer program, and when the program is executed by a processor, the computer program implements the method provided in any of the embodiments of the present application.
Embodiments of the present application also provide a computer program product comprising a computer program, which when executed by a processor implements the method provided in any of the embodiments of the present application.
The embodiment of the present application further provides a chip, where the chip includes a processor, and is configured to call and execute the instruction stored in the memory from the memory, so that the communication device in which the chip is installed executes the method provided in the embodiment of the present application.
An embodiment of the present application further provides a chip, including: the system comprises an input interface, an output interface, a processor and a memory, wherein the input interface, the output interface, the processor and the memory are connected through an internal connection path, the processor is used for executing codes in the memory, and when the codes are executed, the processor is used for executing the method provided by the embodiment of the application.
It should be understood that the processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or any conventional processor or the like. It is noted that the processor may be a processor supporting an Advanced reduced instruction set machine (ARM) architecture.
Further, optionally, the memory may include a read-only memory and a random access memory, and may further include a nonvolatile random access memory. The memory may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may include a Read-only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can include Random Access Memory (RAM), which acts as external cache Memory. By way of example, and not limitation, many forms of RAM are available. For example, Static Random Access Memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDR SDRAM), Enhanced SDRAM (ESDRAM), SLDRAM (synclink DRAM), and Direct Memory bus RAM (DR RAM).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the present application are generated in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present application includes other implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the method of the above embodiments may be implemented by hardware that is configured to be instructed to perform the relevant steps by a program, which may be stored in a computer-readable storage medium, and which, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module may also be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
While the present invention has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A method of quality of service awareness, comprising:
sending a service request to a target service based on configuration information of a sensing task to trigger the target service to run so as to obtain running data of the target service;
and determining the service quality index of the target service based on the operation data of the target service.
2. The method of claim 1, wherein the sending a service request to a target service based on the configuration information of the aware task to trigger the target service to run to obtain running data of the target service comprises:
determining a target service and a trigger time based on the configuration information of the perception task;
and sending a service request to the target service according to the trigger time so as to trigger the target service to operate and obtain the operation data of the target service.
3. The method of claim 1 or 2, wherein the determining a quality of service indicator for the target service based on the operational data of the target service comprises:
determining a service stability index of the target service based on the operation data of the target service and a pre-configured reference baseline; wherein the service stability indicator comprises an absolute median potential difference and/or a population stability indicator.
4. The method according to claim 1 or 2, wherein the method further comprises:
and outputting alarm information under the condition that the service quality index meets the alarm condition.
5. The method of claim 4, wherein the method further comprises:
and under the condition that the alarm information belongs to false alarm information, adjusting relevant parameters of the alarm condition based on the service quality index.
6. The method of claim 4, wherein the method further comprises:
and under the condition that the alarm information does not belong to misinformation information, determining the fault to which the target service belongs according to the type of the service quality index.
7. The method of claim 1 or 2, wherein the configuration information of the perceptual task comprises at least one of: the type of the target service, the type of the service quality index, the trigger frequency of the target service and the related parameters of the alarm condition corresponding to the target service.
8. An apparatus for quality of service awareness, comprising:
the triggering module is used for sending a service request to a target service based on the configuration information of the perception task so as to trigger the target service to run and obtain running data of the target service;
and the analysis early warning module is used for determining the service quality index of the target service based on the operation data.
9. The apparatus of claim 8, wherein the apparatus further comprises:
a configuration module, configured to determine configuration information of a perception task, where the configuration information of the perception task includes at least one of the following information: the type of the target service, the type of the service quality index, the trigger frequency of the target service and the related parameters of the alarm condition corresponding to the target service.
10. The apparatus of claim 8 or 9, wherein the apparatus further comprises:
and the fault processing module is used for determining the fault of the target service according to the type of the service quality index under the condition that the alarm information does not belong to the false alarm information.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory, the processor implementing the method of any one of claims 1-7 when executing the computer program.
12. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1-7.
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