CN113760668A - Fault warning method, system and related device of cloud platform - Google Patents
Fault warning method, system and related device of cloud platform Download PDFInfo
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- G—PHYSICS
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- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
Abstract
The application provides a fault warning method of a cloud platform, which comprises the following steps: acquiring a monitoring task, and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data; confirming an alarm threshold value of the object to be monitored; calculating an alarm distance according to the monitoring data and the alarm threshold; and if the alarm distance is smaller than a preset value, sending an alarm corresponding to the monitoring task. The method and the device feed back the possibility proportion of alarm occurrence through the alarm distance, and when the monitoring data is closer to the alarm threshold, the alarm distance is smaller, and the possibility of alarm occurrence is higher. The probability of alarm occurrence is quantified through the alarm distance, operation and maintenance personnel can be facilitated to process the object to be monitored with the smaller alarm distance, and the alarm processing efficiency is improved. The application also provides a fault warning system of the cloud platform, a computer readable storage medium and a server, and the fault warning system, the computer readable storage medium and the server have the beneficial effects.
Description
Technical Field
The present disclosure relates to the field of electronic device operation and maintenance, and in particular, to a method, a system, and a related device for fault warning of a cloud platform.
Background
The cloud platform is used as a management platform at the top end, and resource monitoring data are obtained by calling a bottom layer virtualization platform interface. In order to form monitoring and alarm data, an interface is called through a timing task, data is compared, and an alarm is generated. The real-time nature of the alarm depends on the period of the timed task. For example, if the timing task is 5 minutes, the alarm failure of the host may not be discovered in the cloud platform after 5 minutes at the latest. Although alarm efficiency may be improved by increasing the frequency of execution of timed tasks. However, due to the performance bottleneck of the device, the period of the timing task is not infinitely shortened so as not to affect other business operations. Therefore, how to improve the alarm efficiency of the cloud platform is a technical problem that needs to be solved urgently by technical personnel in the field.
Disclosure of Invention
The application aims to provide a fault warning method, a fault warning system, a computer readable storage medium and a server of a cloud platform, and the warning efficiency of the cloud platform can be improved by introducing the possibility of quantitative warning of the warning distance.
In order to solve the technical problem, the application provides a fault warning method for a cloud platform, which has the following specific technical scheme:
acquiring a monitoring task, and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data;
confirming an alarm threshold value of the object to be monitored;
calculating an alarm distance according to the monitoring data and the alarm threshold;
and if the alarm distance is smaller than a preset value, sending an alarm corresponding to the monitoring task.
Optionally, calculating an alarm distance according to the monitoring data and the alarm threshold includes:
calculating the percentage of the difference value of the monitoring data and the alarm threshold value in the alarm threshold value;
and taking the absolute value of the percentage as an alarm distance.
Optionally, monitoring the object to be monitored corresponding to the monitoring task, and obtaining the monitoring data includes:
and monitoring the object to be monitored corresponding to the monitoring task according to the alarm task period corresponding to the object to be monitored to obtain monitoring data.
Optionally, if the alarm distance corresponding to the task to be monitored is greater than the alarm threshold by more than a first preset number of times, the method further includes:
and shortening the alarm task period according to the period shortening parameters.
Optionally, if the alarm distance corresponding to the task to be monitored is smaller than the alarm threshold and exceeds a second preset number of times, the method further includes:
and amplifying the alarm task period according to the period extension parameter.
Optionally, the determining the alarm threshold of the object to be monitored includes:
confirming the alarm threshold value of the object to be monitored according to the alarm threshold value list; the alarm threshold list maintains the mapping relationship between the object to be monitored and the corresponding alarm threshold.
Optionally, the method further includes:
and determining the alarm threshold value list according to the hardware parameters of the object to be monitored.
The present application further provides a fault warning system of a cloud platform, including:
the monitoring module is used for acquiring a monitoring task and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data;
the threshold value determining module is used for determining the alarm threshold value of the object to be monitored;
the alarm distance calculation module is used for calculating an alarm distance according to the monitoring data and the alarm threshold;
and the alarm module is used for sending an alarm corresponding to the monitoring task if the alarm distance is smaller than a preset value.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method as set forth above.
The present application further provides a server comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method described above when calling the computer program in the memory.
The application provides a fault warning method of a cloud platform, which comprises the following steps: acquiring a monitoring task, and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data; confirming an alarm threshold value of the object to be monitored; calculating an alarm distance according to the monitoring data and the alarm threshold; and if the alarm distance is smaller than a preset value, sending an alarm corresponding to the monitoring task.
According to the method and the device, after the object to be monitored is monitored to obtain the monitoring data, the corresponding alarm distance is calculated, the probability proportion of alarm occurrence is fed back through the alarm distance, and when the monitoring data is closer to the alarm threshold value, the smaller the alarm distance is, the higher the probability of alarm occurrence is. The probability of alarm occurrence is quantified through the alarm distance, operation and maintenance personnel can be facilitated to process the object to be monitored with the smaller alarm distance, and the alarm processing efficiency is improved.
The application also provides a fault warning system of the cloud platform, a computer readable storage medium and a server, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a fault warning method for a cloud platform according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a fault warning system of a cloud platform according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a fault warning method for a cloud platform according to an embodiment of the present disclosure, where the method includes:
s101: acquiring a monitoring task, and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data;
the step aims to obtain the monitoring task, so that the object to be monitored corresponding to the monitoring task is monitored. The specific content of the monitoring task is not limited herein, and includes at least one object to be monitored, although the monitoring content of different objects to be monitored may also be different, for example, the usage rate of the CPU, the occupancy rate of the memory, the throughput of the disk, and the like. It should be noted that, for the monitoring of different parameters of the same object to be monitored, when the monitoring task includes at least two objects to be monitored, the step is executed to obtain the respective monitoring data of the two objects to be monitored.
S102: confirming an alarm threshold value of the object to be monitored;
the step is intended to determine the alarm threshold of the object to be monitored, and certainly, if the monitoring task includes a plurality of objects to be detected, the step should correspondingly determine the alarm threshold of each object to be detected. The method for determining the alarm threshold of the object to be monitored is not limited, and the alarm threshold of the object to be monitored can be determined according to an alarm threshold list, wherein the alarm threshold list maintains the mapping relationship between the object to be monitored and the corresponding alarm threshold. The alarm threshold list can be directly inquired in the step, so that the alarm threshold of the object to be monitored is obtained. If the alarm threshold list does not contain the alarm threshold of the object to be monitored, the alarm threshold can be determined according to the historical alarm information of the object to be monitored. It should be noted that, because the state values of the historical alarm information may be different when the alarm is given, when the alarm threshold is determined according to the historical alarm information, the minimum value may be selected as the alarm threshold, and the average value of the historical alarm information may also be selected as the alarm threshold. Of course, if the alarm threshold list is used, the alarm threshold list needs to be determined according to the hardware parameters of the object to be monitored before the step is executed. The alarm threshold list includes alarm thresholds of the objects to be monitored, and the alarm thresholds may include alarm thresholds of the same object to be monitored in different application scenarios or under different application conditions. Such as the upper limit of the CPU's occupancy at different temperatures, etc.
S103: calculating an alarm distance according to the monitoring data and the alarm threshold;
the present step aims to determine an alarm distance according to actual monitoring data and an alarm threshold, where how to determine the alarm distance is not limited, and the present embodiment provides a way of calculating the alarm distance:
the method comprises the following steps of firstly, calculating the percentage of the difference value between monitoring data and an alarm threshold value in the alarm threshold value;
and secondly, taking the absolute value of the percentage as an alarm distance.
Namely, the alarm distance is calculated according to the difference value between the monitoring data and the alarm threshold value, and the difference value relation between the currently acquired detection data and the corresponding alarm threshold value is fed back through the alarm distance. It is clear that the closer the monitoring data is to the alarm threshold, the higher the probability that an alarm will occur. This step essentially quantifies the alarm occurrence probability by employing the alarm distance. Of course, the alarm distance may also be calculated in other manners, which are not limited herein. For example, the ratio of the detection data to the alarm threshold is used as the alarm distance. It should be noted that, in the present embodiment, the alarm prediction is mainly performed on the object to be monitored in a state where the alarm data does not exceed the alarm threshold, that is, in a normal state.
S104: and if the alarm distance is smaller than a preset value, sending an alarm corresponding to the monitoring task.
According to the method and the device, after the object to be monitored is monitored to obtain the monitoring data, the corresponding alarm distance is calculated, the probability proportion of alarm occurrence is fed back through the alarm distance, and when the monitoring data is closer to the alarm threshold value, the smaller the alarm distance is, the higher the probability of alarm occurrence is. The probability of alarm occurrence is quantified through the alarm distance, operation and maintenance personnel can be facilitated to process the object to be monitored with the smaller alarm distance, and the alarm processing efficiency is improved.
Based on the above embodiment, as a preferred embodiment, since the monitoring of the current device is usually performed periodically, that is, the object to be monitored corresponding to the monitoring task is monitored according to the alarm task period corresponding to the object to be monitored, so as to obtain the monitoring data, the monitoring period can be adjusted according to the alarm distance, and the specific process is as follows:
and if the alarm distance corresponding to the task to be monitored is greater than the alarm threshold value and exceeds a first preset number of times, shortening the period of the alarm task according to the period shortening parameters.
And if the alarm distance corresponding to the task to be monitored is smaller than the alarm threshold value and exceeds a second preset number of times, amplifying the alarm task period according to the period extension parameter.
The first preset number and the second preset number are not limited, and may be both set to 2 times, may also be both set to 3 times, or may be different values respectively. The cycle shortening parameter and the cycle lengthening parameter are also not specifically limited, for example, the cycle shortening parameter is usually less than 1, for example, it may be 0.5, and the monitoring is performed every 10 minutes originally, and the monitoring is performed every 5 minutes currently. And the cycle extension parameter is usually larger than 1, namely, the extended alarm task cycle is ensured to be larger, and the monitoring times are reduced when the state of the object to be monitored is more normal, so that the resource burden generated by system monitoring is reduced.
A specific application of the present application is described below:
the method comprises the following steps: carrying out alarm monitoring through a set initial alarm task period interval;
step two: after the alarm monitoring is finished, obtaining the alarm distance of each task of each resource (the alarm is compared with the alarm threshold originally, the alarm distance is increased by one operation, and the performance consumption is not too large);
step three: calculating according to the alarm distance, and setting the first preset times as two times (N), namely reducing the alarm period when the alarm distance is continuously reduced for two times;
step four: and calculating the increase and decrease amplitude of the alarm period, taking two consecutive times as an example.
If the two successive alarm distances are both reduced, the reduction proportion of the two alarm distances is calculated, and the alarm period is proportionally reduced within the telescopic range of the alarm period according to the proportion.
For example, the cpu usage of the host, the alarm threshold C is 80%, the first monitoring value V1 is 20%, the second monitoring value V2 is 60%, the initial alarm period is T120 s, the initial number of calculations is N, calculated according to the above example:
1) the first alarm distance:
D1＝|(20％-80％)/(60％)|*100％＝75％。
2) and (5) the second alarm distance:
D2＝|(60％-80％)/(60％)|*100％＝25％。
3) the reduction ratio of the alarm distance:
R＝(D2-D1)/(N-1)＝0.5
the reduction ratio R is between the telescopic ranges [1/8, 4], if R <1/8 or R >4, then 1/8 and 4 are taken as the standard. Of course, both the values of the expansion are default values of the system, and can be adjusted according to the actual performance of the system.
4) The alarm period changes as follows:
t120 ═ 0.5 ═ 60s, i.e. after the alarm distance measurement, the alarm period became 60 s.
Similarly, if the second preset number of times is also two, if the two alarm distances are both increased, the alarm period is increased according to the ratio of the increase of the two alarm distances. In addition, if it is set that n alarm periods have an effect, the rate of decrease of the alarm distance is an average value.
R＝((Dn-Dn-1)+。。。)(D2-D1)/(n-1)
It can be seen from the above process that the alarm period is adaptively changed according to the alarm distance, and the overall consumption of the alarm system is maintained in a balanced state.
In the following, a fault warning system of a cloud platform provided in an embodiment of the present application is introduced, and a fault warning system described below and a fault warning method of a cloud platform described above may be referred to in a corresponding manner.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a fault warning system of a cloud platform according to an embodiment of the present disclosure, and the present disclosure further provides a fault warning system of a cloud platform, including:
the monitoring module 100 is configured to acquire a monitoring task, and monitor an object to be monitored corresponding to the monitoring task to obtain monitoring data;
a threshold determination module 200, configured to determine an alarm threshold of the object to be monitored;
an alarm distance calculation module 300, configured to calculate an alarm distance according to the monitoring data and the alarm threshold;
and an alarm module 400, configured to send an alarm corresponding to the monitoring task if the alarm distance is smaller than a preset value.
Based on the above embodiment, as a preferred embodiment, the warning distance calculation module 300 includes:
the first calculation unit is used for calculating the percentage of the difference value of the monitoring data and the alarm threshold value in the alarm threshold value;
and the second calculation unit is used for taking the absolute value of the percentage as the alarm distance.
Based on the above embodiment, as a preferred embodiment, the monitoring module 100 includes:
and the period monitoring unit is used for monitoring the object to be monitored corresponding to the monitoring task according to the alarm task period corresponding to the object to be monitored to obtain monitoring data.
Based on the above embodiment, as a preferred embodiment, the method further includes:
and the period shortening module is used for shortening the period of the alarm task according to a period shortening parameter if the alarm distance corresponding to the task to be monitored is greater than the alarm threshold value and exceeds a first preset number of times.
Based on the above embodiment, as a preferred embodiment, the method further includes:
and the period prolonging module is used for amplifying the period of the alarm task according to a period prolonging parameter if the alarm distance corresponding to the task to be monitored is smaller than the alarm threshold value and exceeds a second preset number of times.
Based on the above embodiment, as a preferred embodiment, the threshold determining module includes:
the threshold value obtaining unit is used for confirming the alarm threshold value of the object to be monitored according to the alarm threshold value list; the alarm threshold list maintains the mapping relationship between the object to be monitored and the corresponding alarm threshold.
Based on the above embodiment, as a preferred embodiment, the method further includes:
and the threshold generating module is used for determining the alarm threshold list according to the hardware parameters of the object to be monitored.
The present application also provides a computer readable storage medium having stored thereon a computer program which, when executed, may implement the steps provided by the above-described embodiments. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The application also provides a server, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided by the foregoing embodiments when calling the computer program in the memory. Of course, the server may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system provided by the embodiment, the description is relatively simple because the system corresponds to the method provided by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A fault warning method of a cloud platform is characterized by comprising the following steps:
acquiring a monitoring task, and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data;
confirming an alarm threshold value of the object to be monitored;
calculating an alarm distance according to the monitoring data and the alarm threshold;
and if the alarm distance is smaller than a preset value, sending an alarm corresponding to the monitoring task.
2. The fault alerting method of claim 1 wherein calculating an alert distance based on the monitoring data and the alert threshold comprises:
calculating the percentage of the difference value of the monitoring data and the alarm threshold value in the alarm threshold value;
and taking the absolute value of the percentage as an alarm distance.
3. The fault warning method according to claim 1, wherein monitoring the object to be monitored corresponding to the monitoring task to obtain monitoring data comprises:
and monitoring the object to be monitored corresponding to the monitoring task according to the alarm task period corresponding to the object to be monitored to obtain monitoring data.
4. The fault warning method according to claim 3, wherein if the warning distance corresponding to the task to be monitored is greater than the warning threshold by more than a first preset number of times, further comprising:
and shortening the alarm task period according to the period shortening parameters.
5. The fault warning method according to claim 3, wherein if the warning distance corresponding to the task to be monitored is smaller than the warning threshold value and exceeds a second preset number of times, further comprising:
and amplifying the alarm task period according to the period extension parameter.
6. The fault alarmer method of claim 1, wherein confirming the alarm threshold for the object to be monitored comprises:
confirming the alarm threshold value of the object to be monitored according to the alarm threshold value list; the alarm threshold list maintains the mapping relationship between the object to be monitored and the corresponding alarm threshold.
7. The fault alarmer method of claim 6, further comprising:
and determining the alarm threshold value list according to the hardware parameters of the object to be monitored.
8. A fault warning system for a cloud platform, comprising:
the monitoring module is used for acquiring a monitoring task and monitoring an object to be monitored corresponding to the monitoring task to obtain monitoring data;
the threshold value determining module is used for determining the alarm threshold value of the object to be monitored;
the alarm distance calculation module is used for calculating an alarm distance according to the monitoring data and the alarm threshold;
and the alarm module is used for sending an alarm corresponding to the monitoring task if the alarm distance is smaller than a preset value.
9. 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 for failure warning of a cloud platform according to any one of claims 1 to 7.
10. An electronic device, comprising a memory in which a computer program is stored and a processor, wherein the processor, when calling the computer program in the memory, implements the steps of the fault alerting method of the cloud platform according to any one of claims 1 to 7.
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