CN105956734A - Method and system for dynamically setting performance index threshold of IT equipment - Google Patents
Method and system for dynamically setting performance index threshold of IT equipment Download PDFInfo
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Abstract
The invention discloses a method and a system for dynamically setting a performance index threshold of IT equipment. The method is characterized by comprising the steps of acquiring historical index data of each performance of the IT equipment; according to the historical index data, calculating the index threshold interval of each performance through a unary linear regression equation and a floating coefficient; and setting the upper limit and the lower limit of the index threshold of each performance according to the threshold interval. The method and the system provided by the invention can dynamically calculate and set the performance index threshold of the equipment, thereby improving abnormity warning accuracy of monitoring equipment.
Description
Technical field
The present invention relates to IT O&M monitoring field, particularly relate to a kind of performance that information technoloy equipment is dynamically set
The method and system of metrics-thresholds.
Background technology
Now, along with developing rapidly of information technology, it is indispensable that the monitoring of IT O&M becomes informatization
A few part.The monitoring device running state information of 7*24 hour is provided to IT operation maintenance personnel, real
Time the exception of monitoring device is alerted, IT O&M cost can be reduced, for improving information technoloy equipment fortune
The stability of dimension and effectiveness, it is provided that help greatly.
The abnormality alarming of monitoring device, is provided with the threshold value of performance indications and contacts greatly.Traditional
Performance indications static threshold is arranged, it is impossible to be adjusted according to the practical situation that information technoloy equipment runs, for
Ruuning situation under different condition, it is impossible to dynamically adapting.Thus in true applied environment, have certain
Limitation, it is impossible to effectively reflect the actual abnormal conditions of monitoring device, have to a certain degree probability to cause
Wrong report.
Summary of the invention
According to an aspect of the invention, it is provided the index threshold of a kind of performance that information technoloy equipment is dynamically set
The method of value, to solve during traditional Static State Index threshold value arranges, it is impossible to according to information technoloy equipment ruuning situation
It is adjusted, easily because of the problem of wrong report.Wherein, the method includes:
Obtain the history achievement data of each performance of information technoloy equipment；
According to described history achievement data, by one-variable linear regression predictive equation and float factor, meter
The metrics-thresholds calculating each performance is interval；
Higher limit and the lower limit of the metrics-thresholds of each performance are set according to described threshold interval.
By the method for the present invention, by obtaining the historical record in the calculating cycle, dynamic monitoring device
Ruuning situation, and dynamically analyzing and calculating according to ruuning situation, the performance of dynamic calculation equipment refers to
Target threshold value, and according to the threshold interval of dynamic calculation, threshold value is dynamically arranged, improve monitoring and set
The accuracy rate of standby abnormality alarming, more conforms to the actual motion state of monitoring device.
In some embodiments, the method also includes that configuration schedules is acted on behalf of, by described scheduling broker
Preset calculating frequency and the calculating cycle of Performance Counter Threshold for calculating information technoloy equipment；Described scheduling generation
Reason is monitored according to described calculating frequency, when reaching to calculate frequency, performs described acquisition information technoloy equipment
The operation of history achievement data of each performance.Thus, scheduling broker can be according to default calculating frequency
Rate, change updates the metrics-thresholds calculating each performance, to realize Performance Counter Threshold at any time over time
Between the dynamic renewal of change, better meet business demand.
In some embodiments, the history achievement data of each performance of described acquisition information technoloy equipment includes:
The default calculating cycle is obtained from the configuration file of described scheduling broker；
According to described calculating cycle, the history of each performance within the memory module acquisition described calculating cycle
Achievement data.Thus, it is possible to arrange the calculating cycle according to demand, and according to the history in the calculating cycle
Data parameter threshold value, it is possible to more meet the moving law of equipment, improves the threshold value calculated accurate
Rate.
In some embodiments, described according to described history achievement data, pass through one-variable linear regression
Predictive equation and float factor, the metrics-thresholds interval calculating current performance includes: the history that will obtain
Achievement data is labeled as (xi,ji), pass through formulaCalculating one-variable linear regression is pre-
Survey the slope b of equation, pass through formulaCalculate cutting of one-variable linear regression predictive equation
Away from a；According to the described slope b calculated and intercept a, it is thus achieved that the unitary of current performance index linearly returns
Return predictive equation y=bx+a；Calculate when obtaining i=n+1 according to described one-variable linear regression predictive equation
Value y of prediction data pointn+1；According to coefficient of variation formulaObtain float factor cv, wherein, d
For performance indications historical data standard deviation, avg is the meansigma methods of performance indications historical data；According to obtaining
The value of described prediction data point and described float factor, calculate and obtain the threshold interval of performance indications and beWherein,Iu=yn+1*(1+cv).By using multiple differences
The sample data that generated of multiple indexs of monitoring device, laterally, longitudinally contrast multiple different dynamic
State computational methods, draw the computational analysis that this one-variable linear regression predictive equation and float factor combine
Method, in terms of accuracy and adaptability etc., all more conforms to the situation that actual monitored data are reflected.
According to a further aspect in the invention, the index of a kind of performance that information technoloy equipment is dynamically set it is also provided with
The system of threshold value, it is characterised in that including:
Historical data acquisition module, is set to obtain the history achievement data of each performance of information technoloy equipment；
Threshold calculation module, is set to according to described history achievement data, pre-by one-variable linear regression
Surveying equation and float factor, the metrics-thresholds calculating each performance is interval；With
Threshold setting module, is set to arrange metrics-thresholds upper of each performance according to described threshold interval
Limit value and lower limit.
The system of the present invention, by the history run status data of analysis monitoring equipment performance index,
Go out to meet the threshold value of monitoring device performance indications moving law, performance indications can be reflected more truly
Abnormal conditions, improve the accuracy of performance indications abnormality alarming.
In some embodiments, this system also includes scheduling agent module, is set to configuration schedules generation
Reason, by described scheduling broker preset Performance Counter Threshold for calculating information technoloy equipment calculating frequency and
In the calculating cycle, described scheduling broker is monitored according to described calculating frequency, when reaching to calculate frequency,
Start described historical data acquisition module.Thus, scheduling broker can according to default calculating frequency,
Change updates the metrics-thresholds calculating each performance over time, becomes in time realizing Performance Counter Threshold
The dynamic renewal changed, better meets business demand.
In some embodiments, historical data acquisition module is for from the configuration literary composition of described scheduling broker
Part obtains the default calculating cycle, according to the described calculating cycle, obtains described calculating from memory module
The history achievement data of each performance in the cycle.Thus, it is possible to arrange the calculating cycle according to demand, and
According to the historical data parameter threshold value in the calculating cycle, it is possible to more meet the moving law of equipment,
Improve the threshold value accuracy rate calculated.
In some embodiments, described threshold calculation module includes: predictive equation construction unit, if
It is set to the history achievement data of acquisition is labeled as (xi,ji), pass through formulaMeter
Calculate the slope b of one-variable linear regression predictive equation, pass through formulaCalculating unitary is linear
Intercept a of regression prediction equation, according to the described slope b calculated and intercept a, it is thus achieved that current performance
The one-variable linear regression predictive equation y=bx+a of index；Future position acquiring unit, is set to according to described
One-variable linear regression predictive equation calculates value y of prediction data point when obtaining i=n+1n+1；Float factor
Acquiring unit, is set to according to coefficient of variation formulaObtaining float factor cv, wherein, d is
Performance indications historical data standard deviation, avg is the meansigma methods of performance indications historical data；Obtain with threshold value
Unit, is set to the value of the described prediction data point that basis obtains and described float factor, calculates and obtains
The threshold interval of performance indications isWherein,
Iu=yn+1*(1+cv).The computational analysis side that this one-variable linear regression predictive equation and float factor combine
Method, in terms of accuracy and adaptability etc., all more conforms to the situation that actual monitored data are reflected.
Accompanying drawing explanation
Fig. 1 is the method for the Performance Counter Threshold dynamically arranging information technoloy equipment of an embodiment of the present invention
Flow chart；
Fig. 2 is the method for the Performance Counter Threshold dynamically arranging information technoloy equipment of another embodiment of the present invention
Flow chart；
Fig. 3 is the system of the Performance Counter Threshold dynamically arranging information technoloy equipment of an embodiment of the present invention
Frame construction drawing；
Fig. 4 is that the state that the method and system according to Fig. 1, Fig. 2 and Fig. 3 generates in actual applications is bent
Line schematic diagram.
Detailed description of the invention
The present invention is further detailed explanation below in conjunction with the accompanying drawings.
Fig. 1 show schematically show and dynamically arranges information technoloy equipment according to one embodiment of the present invention
The flow process of the method for Performance Counter Threshold.As it is shown in figure 1, the method includes:
Step S101: obtain history achievement data.
The embodiment of the present invention is by obtaining the history achievement data of each performance of information technoloy equipment, to history index
Data are analyzed, and the metrics-thresholds of each performance of dynamic calculation information technoloy equipment is interval.Wherein, history refers to
Mark data mainly obtain from the memory module of IT operational system.According to demand, can be that information technoloy equipment sets
Put the calculating cycle of the metrics-thresholds of each performance, in order to specify the cycle of history achievement data to be obtained.
The method of the present embodiment, when parameter threshold value, first obtains the value calculating the cycle preset, according to
The value in calculating cycle, obtains the history index number of corresponding performance in this calculating cycle from memory module
According to.Wherein, the value calculating the cycle can be set to any number, according to demand according to the operation of information technoloy equipment
Rule, is preferably set to 7 days by this calculating cycle.
Step S102: according to history achievement data, by one-variable linear regression predictive equation and system of floating
Number, the metrics-thresholds calculating current performance is interval.
Obtained the history achievement data in the calculating cycle by step S101 after, based on history index
Data, by one-variable linear regression predictive equation and float factor, calculate the metrics-thresholds of current performance
Interval.Specifically, according to the history achievement data in the calculating cycle obtained, as obtained performance indications
The history achievement data of 7 days, such as in the case of gathering a data point at every five minutes, obtain 7
It history achievement data, can get the data of 2016 data points, by each data point markers is
(xi,ji), wherein, xiFor the value of i-th data point i, yiFor the performance indications that i-th data point is corresponding
History value.Then, formula is passed throughJust can calculate a linear equation
Slope b, pass through formulaJust can calculate intercept a of a linear equation.Root
According to the slope b calculated and intercept a, substitute into a linear equation y=bx+a, it is possible to obtain current
The one-variable linear regression predictive equation of performance indications.After obtaining one-variable linear regression predictive equation, root
According to gained one-variable linear regression predictive equation, calculate and obtain the next data point predicted (to obtain
As a example by the historical data of 2016 data points, i.e. next data point is the data point of i=2017) value
y2017.It follows that according to coefficient of variation formulaObtaining float factor cv, wherein, d is property
Energy metric history data standard is poor, and avg is the meansigma methods of performance indications historical data.Finally, according to obtaining
Value y of the prediction data point arrived2017With float factor cv, it is possible to calculate the threshold value obtaining performance indications
IntervalWherein, upper threshold value is Iu=yn+1* (1+cv), bottom threshold value is
Step S103: higher limit and the lower limit of the metrics-thresholds of current performance are set according to threshold interval.
Gone out the threshold interval of each performance by step S102 dynamic calculation after, by the index threshold of current performance
The higher limit of value is set to Iu, the lower limit of the metrics-thresholds of current performance is set to If。
Thus, after IT O&M monitoring system collects performance indications data, it is possible to according to dynamically meter
The higher limit of the threshold interval setting target threshold value calculated and lower limit, and according to arrange higher limit and
Lower limit judges, to monitor the running status of information technoloy equipment.
Wherein, the method for the present invention can be the history achievement data that Automatic Cycle obtains in the calculating cycle,
Can also be according to other application or the calling of module, obtain the history achievement data in the calculating cycle.
Automatic Cycle obtains the history achievement data in the calculating cycle, can be in the way of being poll, according to other
Application or the calling of module, can act on behalf of and preset calculating frequency by configuration schedules, by dispatching generation
Reason is monitored, and when reaching to calculate frequency, obtains the history index in the calculating cycle from memory module
Data carry out metrics-thresholds calculating.Such as, the inventive method can be 1 day/time by calculating frequency configuration,
It is accomplished by all obtaining the history achievement data in the calculating cycle from memory module every day according to calculating frequency,
Carry out the dynamic calculation of the metrics-thresholds of each performance.Embodiment shown in Fig. 2 describes should by other
With or the detailed description of the invention of the metrics-thresholds calling each performance that information technoloy equipment is dynamically set of module, as
Shown in Fig. 2, the present embodiment, on the basis of Fig. 1 embodiment, also includes:
Step S100: scheduling broker obtains the calculating frequency preset, it may be judged whether reach dynamic threshold
Calculating frequency, perform step S101 to S103 when reaching to calculate frequency dynamically arranges information technoloy equipment
The operation of Performance Counter Threshold.
Before performing step S100, can act on behalf of with configuration schedules, be included in configuration file pre-designed
Calculate frequency, and operation time of logger task in scheduling broker, and judge that operation time of task is
The no value reaching to calculate frequency, if both are equal, illustrates to reach to calculate frequency, then starts task and hold
Mobile state arranges the operation of the threshold interval of each performance.Thus, it is possible to according to demand, meter is dynamically configured
Calculate frequency, to reach to change over dynamic calculation and the effect of setting target threshold value.
The above example of the present invention, can apply in traditional IT O&M monitoring system, it is also possible to
Apply in the IT O&M monitoring system being deployed in high in the clouds, obtain history achievement data from memory module,
Can be to obtain from the data base of traditional IT O&M monitoring system, it is also possible to be from cloud database
Obtain, it is also possible to be to apply according to reality, obtain from memory database or storage file, the present invention
It is without limitation, as long as the historical record of the performance indications of the information technoloy equipment of collection can be obtained.
Fig. 3 show schematically show and dynamically arranges information technoloy equipment according to one embodiment of the present invention
The frame structure of the system of Performance Counter Threshold.As it is shown on figure 3, this system includes that historical data obtains
Module 302, threshold calculation module 303 and threshold setting module 304.Wherein, historical data obtains mould
Block 302 is set to obtain the calculating cycle, according to the cycle of calculating, obtains in the calculating cycle from memory module
History achievement data.Threshold calculation module 303 is set to, according to described history achievement data, pass through
One-variable linear regression predictive equation and float factor, the metrics-thresholds calculating current performance is interval.Threshold value
Module 304 is set, is set to arrange according to described threshold interval the higher limit of the metrics-thresholds of current performance
And lower limit.It is single that threshold calculation module 303 includes that predictive equation construction unit 3031, future position obtain
Unit 3032, float factor acquiring unit 3033 and threshold value acquiring unit 3034.Predictive equation builds single
Unit 3031 is set to the history achievement data of acquisition is labeled as (xi,ji), pass through formulaCalculate the slope b of one-variable linear regression predictive equation, pass through formulaCalculate intercept a of one-variable linear regression predictive equation, according to the slope b calculated
With intercept a, it is thus achieved that the one-variable linear regression predictive equation y=bx+a of current performance index.Future position obtains
Take unit 3032 to be set to calculate the prediction data obtaining i=n+1 according to one-variable linear regression predictive equation
Value y of pointn+1.Float factor acquiring unit 3033 is set to according to coefficient of variation formulaObtain
Float factor cv, wherein, d is performance indications historical data standard deviations, and avg is performance indications history numbers
According to meansigma methods.Threshold value acquiring unit 3034 is set to value and the floating of the prediction data point according to obtaining
Coefficient, the threshold interval calculating acquisition performance indications isWherein, upper threshold value is
Iu=yn+1* (1+cv), bottom threshold value is
Wherein, the embodiment of the present invention can also include scheduling agent module 301, for starting history number
According to acquisition module 301 before the history achievement data that memory module obtained in the calculating cycle, first configure
Scheduling broker and the default frequency that calculates, and be monitored according to the calculating frequency arranged, every calculating frequency
The time interval of rate, i.e. when reaching to calculate frequency, obtains the history in the calculating cycle from memory module
Achievement data.
Wherein, the calculating cycle mentioned in various embodiments of the present invention, it is also possible in the configuration of scheduling broker
File is preset, i.e. when configuration schedules is acted on behalf of, the most pre-designed in the configuration file of scheduling broker
Calculate frequency and the cycle of calculating.According to demand, calculate frequency and the calculating cycle may be alternatively provided as same value.
The system of the present invention is mainly used in IT O&M monitoring system, can monitor according to IT O&M
The performance indications data of the information technoloy equipment of system acquisition, according to unitary thread regression prediction equation and system of floating
The higher limit of the metrics-thresholds counting dynamic calculation and arrange each performance indications data and lower limit, with more
Reflect the abnormal conditions of performance indications truly, improve the accuracy of performance indications abnormality alarming.And,
By arranging scheduling broker and calculating frequency, it is also possible to according to demand, change over and call dynamically
Corresponding system module and method, calculate metrics-thresholds and arrange, to improve index further
The real-time accuracy of threshold value, better meets actual demand.
Fig. 4 is the method for the metrics-thresholds of the performance dynamically arranging information technoloy equipment according to the present invention and is
System, the condition curve schematic diagram of certain table space utilization rate of certain equipment generated in actual applications.As
Shown in Fig. 4, in the present embodiment, with one day for calculating the cycle, by certain monitoring device one day
The ruuning situation of certain table space is added up, and has calculated the one-variable linear regression prediction of these performance indications
Equation is y=0.0031x+94.660, and float factor is cv=0.006452.Pre-in conjunction with this one-variable linear regression
Survey equation and float factor, show that the threshold interval of these performance indications is [94.50,95.72].Thus,
The higher limit of these performance indications can be dynamically set to 95.72, lower limit according to dynamic calculation result
It is set to 94.50.Curve in figure, 40 and 41 are respectively higher limit and the lower limit of threshold value of threshold value,
42 is the curve of unary linear regression equation, and 43 is the performance data curve of the table space use of this equipment.
The method and system of the present invention, the acquisition to performance indications historical data, the intellectual analysis of data,
The dynamic calculation of threshold value and setting, the judgement of abnormality alarming, all by automated system operation, it is not necessary to artificial
Operation, reduces the manpower O&M cost of IT O&M monitoring system.And, according to the default calculating cycle
In historical data, it is possible to achieve dynamic calculation and metrics-thresholds upper of each performance indications data is set
Limit value and lower limit, to reflect the abnormal conditions of performance indications more truly, improve performance indications different
The often accuracy of alarm.
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art
For, without departing from the concept of the premise of the invention, it is also possible to make some deformation and improvement,
These broadly fall into protection scope of the present invention.
Claims (8)
- The method that the metrics-thresholds of the performance of information technoloy equipment is the most dynamically set, it is characterised in that including:Obtain the history achievement data of each performance of information technoloy equipment；According to described history achievement data, by one-variable linear regression predictive equation and float factor, meter The metrics-thresholds calculating each performance is interval；Higher limit and the lower limit of the metrics-thresholds of each performance are set according to described threshold interval.
- Method the most according to claim 1, it is characterised in that also include:Configuration schedules is acted on behalf of, and presets the performance indications threshold for calculating information technoloy equipment by described scheduling broker The calculating frequency of value and the cycle of calculating；Described scheduling broker is monitored according to described calculating frequency, when reaching to calculate frequency, performs The operation of the history achievement data of each performance of described acquisition information technoloy equipment.
- Method the most according to claim 2, wherein, each performance of described acquisition information technoloy equipment History achievement data includes:The default calculating cycle is obtained from the configuration file of described scheduling broker；According to described calculating cycle, the history of each performance within the memory module acquisition described calculating cycle Achievement data.
- 4. according to the method described in claim 1 or 2 or 3, wherein, described refer to according to described history Mark data, by one-variable linear regression predictive equation and float factor, calculate the index threshold of current performance Value interval includes:The history achievement data of acquisition is labeled as (xi,ji), pass through formulaMeter Calculate the slope b of one-variable linear regression predictive equation, pass through formulaCalculating unitary is linear Intercept a of regression prediction equation；According to the described slope b calculated and intercept a, it is thus achieved that the one-variable linear regression of current performance index Predictive equation y=bx+a；Value according to prediction data point during described one-variable linear regression predictive equation calculating acquisition i=n+1 yn+1；According to coefficient of variation formulaObtaining float factor cv, wherein, d is performance indications history Data standard is poor, and avg is the meansigma methods of performance indications historical data；Value according to the described prediction data point obtained and described float factor, calculate and obtain performance indications Threshold interval beWherein,Iu=yn+1*(1+cv)。
- The system of the metrics-thresholds of the performance of information technoloy equipment is the most dynamically set, it is characterised in that including:Historical data acquisition module, is set to obtain the history achievement data of each performance of information technoloy equipment；Threshold calculation module, is set to according to described history achievement data, pre-by one-variable linear regression Surveying equation and float factor, the metrics-thresholds calculating each performance is interval；WithThreshold setting module, is set to arrange metrics-thresholds upper of each performance according to described threshold interval Limit value and lower limit.
- System the most according to claim 5, it is characterised in that also include:Scheduling agent module, be set to configuration schedules agency, by described scheduling broker preset by based on Calculating calculating frequency and the cycle of calculating of the Performance Counter Threshold of information technoloy equipment, described scheduling broker is according to described Calculating frequency is monitored, and when reaching to calculate frequency, starts described historical data acquisition module.
- System the most according to claim 6, wherein, historical data acquisition module is for from described The configuration file of scheduling broker obtains the default calculating cycle, according to the described calculating cycle, from storage Module obtains the history achievement data of each performance in the described calculating cycle.
- 8. according to the system described in claim 5 or 6 or 7, wherein, described threshold calculation module bag Include:Predictive equation construction unit, is set to the history achievement data of acquisition is labeled as (xi,ji), pass through FormulaCalculate the slope b of one-variable linear regression predictive equation, pass through formulaCalculate one-variable linear regression predictive equation intercept a, according to calculate described tiltedly Rate b and intercept a, it is thus achieved that the one-variable linear regression predictive equation y=bx+a of current performance index；Future position acquiring unit, is set to calculate according to described one-variable linear regression predictive equation obtain Value y of the prediction data point of i=n+1n+1；Float factor acquiring unit, is set to according to coefficient of variation formulaObtain float factor Cv, wherein, d is performance indications historical data standard deviations, and avg is the average of performance indications historical data Value；WithThreshold value acquiring unit, is set to the value of the described prediction data point that basis obtains and described floating system Number, the threshold interval calculating acquisition performance indications isWherein, Iu=yn+1*(1+cv)。
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