CN105956734B - Method and system for dynamically setting index threshold of performance of IT equipment - Google Patents
Method and system for dynamically setting index threshold of performance of IT equipment Download PDFInfo
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Abstract
The invention discloses a method and a system for dynamically setting an index threshold value of performance of IT equipment, which are characterized in that the method comprises the following steps: acquiring historical index data of each performance of IT equipment; calculating index threshold intervals of all the performances through a unitary linear regression prediction equation and a floating coefficient according to the historical index data; and setting the upper limit value and the lower limit value of the index threshold value of each performance according to the threshold value interval. The method and the system provided by the invention can dynamically calculate and set the threshold value of the performance index of the equipment according to the actual running condition of the IT equipment, and improve the accuracy rate of abnormal alarm of the monitoring equipment.
Description
Technical Field
The invention relates to the field of IT operation and maintenance monitoring, in particular to a method and a system for dynamically setting an index threshold of performance of IT equipment.
Background
Nowadays, with the rapid development of information technology, IT operation and maintenance monitoring becomes an indispensable part of information-oriented construction. The monitoring equipment operation state information of 7 x 24 hours is provided for IT operation and maintenance personnel, the abnormity of the monitoring equipment is alarmed in real time, the IT operation and maintenance cost can be reduced, and great help is provided for improving the stability and effectiveness of the IT equipment operation and maintenance.
And monitoring abnormal alarm of the equipment, and setting great relation with the threshold value of the performance index. The traditional performance index static threshold setting cannot be adjusted according to the actual running condition of the IT equipment, and cannot be dynamically adapted to the running conditions under different conditions. Therefore, in a real application environment, the method has certain limitation, cannot effectively reflect the actual abnormal condition of the monitoring equipment, and has certain probability of causing false alarm.
Disclosure of Invention
According to one aspect of the invention, a method for dynamically setting an index threshold of performance of an IT device is provided, so as to solve the problem that the traditional static index threshold setting cannot be adjusted according to the operation condition of the IT device, and is easy to cause false alarm. Wherein, the method comprises the following steps:
acquiring historical index data of each performance of IT equipment;
calculating index threshold intervals of all the performances through a unitary linear regression prediction equation and a floating coefficient according to the historical index data;
and setting the upper limit value and the lower limit value of the index threshold value of each performance according to the threshold value interval.
By the method, the operation condition of the equipment is dynamically monitored by acquiring the historical records in the calculation period, the threshold of the performance index of the equipment is dynamically calculated according to the dynamic analysis and calculation of the operation condition, and the threshold is dynamically set according to the dynamically calculated threshold interval, so that the accuracy rate of abnormal alarm of the monitoring equipment is improved, and the actual operation state of the monitoring equipment is better met.
In some embodiments, the method further comprises configuring a scheduling agent by which to preset a computation frequency and a computation period for computing a performance index threshold of the IT device; and the scheduling agent monitors according to the calculation frequency, and executes the operation of acquiring the historical index data of each performance of the IT equipment when the calculation frequency is reached. Therefore, the scheduling agent can update and calculate the index threshold value of each performance along with the change of time according to the preset calculation frequency so as to realize the dynamic update of the performance index threshold value along with the change of time and better meet the service requirement.
In some embodiments, the obtaining historical index data of the performances of the IT equipment comprises:
acquiring a preset calculation period from the configuration file of the scheduling agent;
and acquiring historical index data of each performance in the calculation period from a storage module according to the calculation period. Therefore, the calculation period can be set according to the requirement, the index threshold value is calculated according to the historical data in the calculation period, the operation rule of the equipment can be better met, and the accuracy of the calculated threshold value is improved.
In some embodiments, the calculating the indicator threshold interval of the current performance according to the historical indicator data by a unary linear regression prediction equation and a floating coefficient includes: marking the acquired historical index data as (x)i,yi) By the formula
Calculating the slope b of the unitary linear regression prediction equation by the formulaCalculating the intercept a of the unary linear regression prediction equation; according to the calculated slope b and intercept a, obtaining a unary linear regression prediction equation y of the current performance index as bx + a; calculating a value y of a predicted data point when i ═ n +1 is obtained according to the unary linear regression prediction equationn+1(ii) a According to the coefficient of variation formulaObtaining a floating coefficient cv, wherein d is the standard deviation of historical data of the performance index, and avg is the average value of the historical data of the performance index; according to the obtained values of the predicted data points and the floating coefficients, calculating a threshold interval for obtaining a performance index as
Wherein the content of the first and second substances,
Iu＝yn+1(1+ cv). By adopting sample data generated by a plurality of indexes of a plurality of different monitoring devices and comparing a plurality of different dynamic calculation methods transversely and longitudinally, the calculation analysis method combining the unary linear regression prediction equation and the floating coefficient is obtained, and the method better conforms to the condition reflected by actual monitoring data from the aspects of accuracy, adaptability and the like.
According to another aspect of the present invention, there is also provided a system for dynamically setting an index threshold for performance of an IT device, comprising:
the historical data acquisition module is used for acquiring historical index data of each performance of the IT equipment;
the threshold value calculation module is arranged for calculating index threshold value intervals of all the performances through a unitary linear regression prediction equation and a floating coefficient according to the historical index data; and
and the threshold setting module is used for setting the upper limit value and the lower limit value of the index threshold of each performance according to the threshold interval.
The system of the invention obtains the threshold value according with the operation rule of the performance index of the monitoring equipment by analyzing the historical operation state data of the performance index of the monitoring equipment, can reflect the abnormal condition of the performance index more truly and improve the accuracy of the abnormal alarm of the performance index.
In some embodiments, the system further includes a scheduling agent module configured to configure a scheduling agent, and preset a calculation frequency and a calculation period for calculating a performance index threshold of the IT device by the scheduling agent, where the scheduling agent monitors according to the calculation frequency, and starts the historical data acquisition module when the calculation frequency is reached. Therefore, the scheduling agent can update and calculate the index threshold value of each performance along with the change of time according to the preset calculation frequency so as to realize the dynamic update of the performance index threshold value along with the change of time and better meet the service requirement.
In some embodiments, the historical data obtaining module is configured to obtain a preset calculation period from a configuration file of the scheduling agent, and obtain historical index data of each performance in the calculation period from the storage module according to the calculation period. Therefore, the calculation period can be set according to the requirement, the index threshold value is calculated according to the historical data in the calculation period, the operation rule of the equipment can be better met, and the accuracy of the calculated threshold value is improved.
In some embodiments, the threshold calculation module comprises: a prediction equation construction unit configured to mark the acquired historical index data as (x)i,yi) By the formula
Calculating the slope b of the unitary linear regression prediction equation by the formula
Computing a UnitObtaining a unary linear regression prediction equation y of the current performance index as bx + a according to the calculated slope b and the calculated intercept a; a predicted point acquisition unit configured to calculate a value y of a predicted data point when i ═ n +1 is acquired from the unary linear regression prediction equationn+1(ii) a A floating coefficient obtaining unit configured to obtain a floating coefficient according to a coefficient of variation formula
Obtaining a floating coefficient cv, wherein d is the standard deviation of historical data of the performance index, and avg is the average value of the historical data of the performance index; and a threshold value obtaining unit configured to calculate a threshold value interval for obtaining a performance index according to the obtained predicted data point value and the floating coefficient
Wherein the content of the first and second substances,
Iu＝yn+1(1+ cv). The unitary linear regression prediction equation and the floating coefficient combined calculation analysis method are more consistent with the conditions reflected by actual monitoring data from the aspects of accuracy, adaptability and the like.
Drawings
FIG. 1 is a flowchart of a method for dynamically setting performance indicator thresholds for IT devices in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a method for dynamically setting a performance metric threshold for an IT device in accordance with another embodiment of the present invention;
FIG. 3 is a block diagram of a system for dynamically setting performance indicator thresholds for IT devices in accordance with an embodiment of the present invention;
fig. 4 is a schematic diagram of a state curve generated in a practical application according to the method and system of fig. 1, 2 and 3.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
FIG. 1 schematically shows a flow of a method of dynamically setting a performance indicator threshold of an IT device in accordance with one embodiment of the present invention. As shown in fig. 1, the method includes:
step S101: and acquiring historical index data.
According to the embodiment of the invention, historical index data of each performance of the IT equipment is acquired, the historical index data is analyzed, and the index threshold interval of each performance of the IT equipment is dynamically calculated. The historical index data is mainly obtained from a storage module of the IT operation and maintenance system. The calculation cycle of the index threshold value for each performance may be set for the IT device as needed to specify the cycle of the historical index data to be acquired. In the method of this embodiment, when the index threshold is calculated, a preset value of a calculation period is first obtained, and according to the value of the calculation period, historical index data of corresponding performance in the calculation period is obtained from the storage module. The value of the calculation period can be set to any value according to requirements, and the calculation period is preferably set to 7 days according to the operation rule of the IT equipment.
Step S102: and calculating the index threshold interval of the current performance by a unary linear regression prediction equation and a floating coefficient according to the historical index data.
After the historical index data in the calculation period is acquired through step S101, the index threshold interval of the current performance is calculated based on the historical index data through the unary linear regression prediction equation and the floating coefficient. Specifically, the historical index data of 7 days is obtained according to the obtained historical index data in the calculation cycle, for example, when one data point is collected every five minutes, the historical index data of 7 days is obtained, the data of 2016 data points can be obtained, and each data point is marked as (x)i,yi) Wherein x isiIs the value of the ith data point i, yiAnd the historical value of the performance index corresponding to the ith data point. Then, by the formulaThe slope b of the unary linear equation can be calculated by the formula
The intercept a of the unary linear equation can be calculated. And substituting the unary linear equation y being bx + a according to the calculated slope b and the calculated intercept a to obtain the unary linear regression prediction equation of the current performance index. After obtaining the unary linear regression prediction equation, calculating a value y for obtaining a predicted next data point (taking the historical data for obtaining 2016 data points as an example, that is, the next data point is a data point where i is 2017) according to the obtained unary linear regression prediction equation2017. Then, according to the coefficient of variation formula
And obtaining a floating coefficient cv, wherein d is the standard deviation of the historical data of the performance index, and avg is the average value of the historical data of the performance index. Finally, according to the value y of the obtained predicted data point2017And the floating coefficient cv, the threshold interval for obtaining the performance index can be calculated
Wherein the upper limit value of the threshold is Iu＝yn+1(1+ cv) lower threshold of
Step S103: and setting an upper limit value and a lower limit value of the index threshold value of the current performance according to the threshold value interval.
After the threshold interval of each performance is dynamically calculated in step S102, the upper limit value of the index threshold of the current performance is set to IuSetting the lower limit value of the index threshold value of the current performance as If。
Therefore, after the IT operation and maintenance monitoring system collects the performance index data, the upper limit value and the lower limit value of the index threshold can be set according to the dynamically calculated threshold interval, and judgment is carried out according to the set upper limit value and the set lower limit value so as to monitor the running state of the IT equipment.
The method of the invention can automatically and circularly obtain the historical index data in the calculation period, and can also obtain the historical index data in the calculation period according to the calling of other applications or modules. The automatic cycle acquisition of the historical index data in the calculation period can be in a polling mode, the scheduling agent can be used for monitoring through configuring the scheduling agent and presetting the calculation frequency according to the calling of other applications or modules, and when the calculation frequency is reached, the historical index data in the calculation period is acquired from the storage module to calculate the index threshold. For example, the method of the present invention may set the calculation frequency to 1 day/time, and according to the calculation frequency, it is necessary to acquire the historical index data in the calculation period from the storage module every day to perform dynamic calculation of the index threshold value of each performance. The embodiment shown in fig. 2 describes a specific implementation of dynamically setting index thresholds of various performances of the IT device through calls of other applications or modules, and as shown in fig. 2, this embodiment further includes, on the basis of the embodiment shown in fig. 1:
step S100: the scheduling agent acquires a preset calculation frequency, judges whether the calculation frequency of the dynamic threshold is reached, and executes the operation of dynamically setting the performance index threshold of the IT equipment from the step S101 to the step S103 when the calculation frequency is reached.
Before step S100 is executed, a scheduling agent may be configured, which includes presetting a computation frequency in a configuration file, recording the running time of the task in the scheduling agent, and determining whether the running time of the task reaches a value of the computation frequency, and if the two are equal, indicating that the running time reaches the computation frequency, starting the task to execute an operation of dynamically setting a threshold interval of each performance. Therefore, the calculation frequency can be dynamically configured according to requirements, and the effect of dynamically calculating and setting the index threshold value along with the change of time is achieved.
The embodiment of the invention can be applied to a traditional IT operation and maintenance monitoring system, can also be applied to an IT operation and maintenance monitoring system deployed in a cloud, acquires historical index data from a storage module, can be acquired from a database of the traditional IT operation and maintenance monitoring system, can also be acquired from a cloud database, and can also be acquired from a memory database or a storage file according to actual application.
FIG. 3 schematically illustrates a framework of a system for dynamically setting performance metric thresholds for IT devices in accordance with an embodiment of the present invention. As shown in fig. 3, the system includes a historical data acquisition module 302, a threshold calculation module 303, and a threshold setting module 304. The historical data obtaining module 302 is configured to obtain a calculation period, and obtain historical index data in the calculation period from the storage module according to the calculation period. The threshold calculation module 303 is configured to calculate an index threshold interval of the current performance from the historical index data by a unitary linear regression prediction equation and a floating coefficient. And the threshold setting module 304 is configured to set an upper limit value and a lower limit value of the index threshold of the current performance according to the threshold interval. The threshold value calculation module 303 includes a prediction equation construction unit 3031, a predicted point acquisition unit 3032, a floating coefficient acquisition unit 3033, and a threshold value acquisition unit 3034. The prediction equation construction unit 3031 is configured to mark the acquired historical index data as (x)i,yi) By the formula
Calculating the slope b of the unitary linear regression prediction equation by the formula
And calculating the intercept a of the unary linear regression prediction equation, and obtaining the unary linear regression prediction equation y of the current performance index as bx + a according to the calculated slope b and the intercept a. The predicted point obtaining unit 3032 is configured to calculate a value y of a predicted data point by obtaining i ═ n +1 according to a unary linear regression prediction equationn+1. The floating coefficient obtaining unit 3033 is configured to obtain the formula of the coefficient of variation
And obtaining a floating coefficient cv, wherein d is the standard deviation of the historical data of the performance index, and avg is the average value of the historical data of the performance index. The threshold value obtaining unit 3034 is configured to calculate a threshold value interval for obtaining the performance index according to the obtained predicted data point value and the floating coefficient
Wherein the upper limit value of the threshold is Iu＝yn+1(1+ cv) lower threshold of
The embodiment of the present invention may further include a scheduling agent module 301, configured to configure a scheduling agent and a preset calculation frequency before starting the historical data obtaining module 301 to obtain the historical index data in the calculation period from the storage module, and monitor according to the set calculation frequency, and obtain the historical index data in the calculation period from the storage module at intervals of the calculation frequency, that is, when the calculation frequency is reached.
The calculation cycle mentioned in the embodiments of the present invention may also be preset in the configuration file of the scheduling agent, that is, when the scheduling agent is configured, the calculation frequency and the calculation cycle are preset in the configuration file of the scheduling agent at the same time. The calculation frequency and the calculation period may also be set to the same value according to the requirements.
The system is mainly applied to an IT operation and maintenance monitoring system, and can dynamically calculate and set the upper limit value and the lower limit value of the index threshold value of each performance index data according to the performance index data of the IT equipment acquired by the IT operation and maintenance monitoring system and a unitary thread regression prediction equation and a floating coefficient, so that the abnormal condition of the performance index can be reflected more truly, and the accuracy of performance index abnormal alarm can be improved. Moreover, by setting the scheduling agent and the calculating frequency, the corresponding system module and the method can be dynamically called according to the requirement and along with the change of time, and the index threshold value is calculated and set, so that the real-time accuracy of the index threshold value is further improved, and the actual requirement is better met.
FIG. 4 is a diagram illustrating a state curve of usage rate of a certain tablespace of a certain device generated in practical application according to the method and system for dynamically setting the index threshold of the performance of IT devices of the present invention. As shown in fig. 4, in this embodiment, the operation conditions of a certain table space in a certain monitoring device in a day are counted in a calculation cycle of one day, so that the unary linear regression prediction equation of the performance index is calculated to be y equal to 0.0031x +94.660, and the floating coefficient is cv equal to 0.006452. Combining the unitary linear regression prediction equation and the floating coefficient, the threshold interval of the performance index is [94.50, 95.72 ]. Thus, the upper limit value of the performance index may be dynamically set to 95.72 and the lower limit value may be set to 94.50 based on the dynamic calculation. The curves in the figure, 40 and 41 are the upper threshold value and the lower threshold value, respectively, 42 is the curve of a unary linear regression equation, and 43 is the performance data curve for the tablespace usage of the device.
According to the method and the system, the acquisition of the historical data of the performance indexes, the intelligent analysis of the data, the dynamic calculation and setting of the threshold value and the judgment of the abnormal alarm are automatically operated by the system, manual operation is not needed, and the manual operation and maintenance cost of the IT operation and maintenance monitoring system is reduced. And according to the historical data in the preset calculation period, the upper limit value and the lower limit value of the index threshold value of each performance index data can be dynamically calculated and set, so that the abnormal condition of the performance index can be reflected more truly, and the accuracy of the abnormal alarm of the performance index can be improved.
What has been described above are merely some embodiments of the present invention. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the inventive concept thereof, and these changes and modifications can be made without departing from the spirit and scope of the invention.
Claims (6)
1. A method for dynamically setting an index threshold for performance of IT equipment, comprising:
acquiring historical index data of each performance of IT equipment;
determining a unary linear regression prediction equation y ═ bx + a of the current performance index according to the historical index data, wherein the equation comprises marking the acquired historical index data as (x + a)i,yi) By the formula
Calculating the slope b of the unitary linear regression prediction equation by the formula
Calculating the intercept a of the unary linear regression prediction equation, wherein xiIs the value of the ith data point i, yiThe performance index historical value corresponding to the ith data point is obtained, and n is the number of the obtained historical index data points; according to the calculated slope b and intercept a, obtaining a unary linear regression prediction equation y of the current performance index as bx + a;
obtaining the value of the predicted data point according to the determined unary linear regression prediction equation, which comprises calculating the value y of obtaining the n +1 th predicted data point according to the unary linear regression prediction equationn+1；
Determining a floating coefficient, and calculating an index threshold interval of each performance according to the obtained predicted data point value and the floating coefficient;
setting an upper limit value and a lower limit value of index threshold values of various performances according to the threshold value interval;
wherein, the determining a floating coefficient, and the calculating an index threshold interval of the current performance according to the obtained predicted data point value and the floating coefficient comprises:
according to the coefficient of variation formula
Obtaining a floating coefficient cv, wherein d is the standard deviation of historical data of the performance index, and avg is the average value of the historical data of the performance index;
according to the obtained values of the predicted data points and the floating coefficient, calculating a threshold interval of performance indexes to be [ If,Iu]Wherein, in the step (A),
Iu＝yn+1*(1+cv)。
2. the method of claim 1, further comprising:
configuring a scheduling agent, and presetting a calculation frequency and a calculation period for calculating a performance index threshold of IT equipment through the scheduling agent;
and the scheduling agent monitors according to the calculation frequency, and executes the operation of acquiring the historical index data of each performance of the IT equipment when the calculation frequency is reached.
3. The method of claim 2, wherein the obtaining historical metric data for various performances of the IT equipment comprises:
acquiring a preset calculation period from the configuration file of the scheduling agent;
and acquiring historical index data of each performance in the calculation period from a storage module according to the calculation period.
4. A system for dynamically setting an indicator threshold for performance of an IT device, comprising:
the historical data acquisition module is used for acquiring historical index data of each performance of the IT equipment;
the threshold value calculation module is used for determining a unary linear regression prediction equation y of the current performance index as bx + a according to the historical index data, acquiring the value of a predicted data point according to the determined unary linear regression prediction equation, determining a floating coefficient, and calculating an index threshold value interval of each performance according to the acquired value of the predicted data point and the floating coefficient; and
the threshold setting module is used for setting the upper limit value and the lower limit value of the index threshold of each performance according to the threshold interval;
wherein the threshold calculation module comprises
A prediction equation construction unit configured to mark the acquired historical index data as (x)i,yi) By the formulaCalculating the slope b of the unitary linear regression prediction equation by the formula
Calculating the intercept a of the unary linear regression prediction equation, and obtaining the unary linear regression prediction equation y of the current performance index as bx + a according to the calculated slope b and the intercept a, wherein x isiIs the value of the ith data point i, yiThe performance index historical value corresponding to the ith data point is obtained, and n is the number of the obtained historical index data points;
a predicted point acquisition unit configured to calculate and acquire a value y of an n +1 th predicted data point from the unary linear regression prediction equationn+1；
A floating coefficient obtaining unit configured to obtain a floating coefficient according to a coefficient of variation formula
Obtaining a floating coefficient cv, wherein d is the standard deviation of historical data of the performance index, and avg is the average value of the historical data of the performance index; and
a threshold value obtaining unit configured to calculate a threshold value interval of the performance index as [ I ] according to the obtained predicted data point value and the floating coefficientf,Iu]Wherein, in the step (A),
Iu＝yn+1*(1+cv)。
5. the system of claim 4, further comprising:
the scheduling agent module is set to configure a scheduling agent, the scheduling agent presets a calculation frequency and a calculation period for calculating a performance index threshold of the IT equipment, the scheduling agent monitors according to the calculation frequency, and when the calculation frequency is reached, the historical data acquisition module is started.
6. The system of claim 5, wherein the historical data obtaining module is configured to obtain a preset computation cycle from a configuration file of the scheduling agent, and obtain historical index data of each performance in the computation cycle from the storage module according to the computation cycle.
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Families Citing this family (23)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112926749A (en) * | 2020-12-30 | 2021-06-08 | 国网宁夏电力有限公司信息通信公司 | Intelligent power grid information equipment monitoring system and method |
| CN113342939B (en) * | 2021-06-24 | 2023-02-07 | 中国平安人寿保险股份有限公司 | Data quality monitoring method and device and related equipment |
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