CN106502871A - The alarm threshold dynamic configuration system of supervisory systems and method - Google Patents
The alarm threshold dynamic configuration system of supervisory systems and method Download PDFInfo
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Abstract
The invention discloses a kind of alarm threshold dynamic configuration system of supervisory systems and method, including data acquisition module, weight coefficient computing module, bound constraints module and threshold value output module, data acquisition module is used for obtaining from data base and stores threshold configuration information, estimated data activity cycle and business Trend Prediction data；Weight coefficient computing module is used for carrying out weight coefficient computing to each index；Bound constraints module is used for the reduction for constraining the data that hit the target according to the bound of each index；Threshold value output module is used for exporting threshold information.The present invention rapidly can be hit the target information configuration automatically in batches.
Description
Technical field
The present invention relates to IT supervisory systems technical fields, particularly relate to a kind of alarm threshold dynamic configuration system of supervisory systems
System and method.
Background technology
In recent years, with the progressively in-depth of Enterprise Informatization Technology, business is stepped up for the dependence of IT system, while
Requirement of the enterprise to IT supervisory systems is also progressively being upgraded.Way of wherein traditional supervisory systems for index alarm, at present all
It is the marker data information by the monitored system of collection, further according to the manual index threshold values for setting, judge index data surpass
Go out the bound of threshold values, in this way, then carry out alarm prompting.
IT application system is less and business trend stability in the case of, operation maintenance personnel can quickly according to the experience of oneself
The work of index alarm threshold value, but the development with enterprise is configured, applied host machine, service application are stepped up, for finger
In the index storehouse of several levels multiplication, by artificial again to index and correspondingly the initialization definitions of alarm bound threshold values, reassign by
Expend huge workload；IT application system is responded in the variation of simultaneous operational action, each business promotional cycle
It is required that rank is different, need the adjustment for carrying out higher frequency as requested to index, so that operation maintenance personnel is according to corresponding alarm
Content makes related counter-measure in time.So the IT supervisory systems for a large number of services fixes announcement by manual configuration index again
The mode of alert threshold values has been no longer complies with technology trend.
Existing IT supervisory systems, for the Basic practice that alarm is reminded, is referred to using manually arranging each IT elements correlation
Target fixes alarm threshold value information, and after the indication information of each IT elements is collected, whether system judges the numerical value of specific targets
Meet fixed alarm threshold value and condition is set, such as meet, then alarm prompting is carried out to the IT element index.
Due to being only fixed the definition of threshold values by way of manual operation, business trend, cycle events are not bound with
After data, system load requirement, history alarm handling suggestion etc. carry out weight calculation, complete the initialization of threshold values automatization, update,
So the shortcoming for existing is comprising as follows：
1 cannot be carried out initializing, be updated to all types of indexs in batches, be required to artificial operation.
2 cannot be automatically performed threshold values information updating according to business weight in corresponding cycle request；Especially frequent
In the case that degree is required, artificial operation cannot accomplish quick response.
Content of the invention
The present invention proposes a kind of alarm threshold dynamic configuration system of supervisory systems and method, solves nothing in prior art
Method is automatically performed the defect of threshold information configuration.
The technical scheme is that and be achieved in that：
A kind of alarm threshold dynamic configuration system of supervisory systems, including data acquisition module, weight coefficient computing module,
Bound constraints module and threshold value output module, the data acquisition module are used for obtaining and storing threshold value configuration from data base
Information, estimated data activity cycle and business Trend Prediction data；The weight coefficient computing module is used for carrying out each index
Weight coefficient computing；The bound constraints module is used for the reduction for constraining the data that hit the target according to the bound of each index；
The threshold value output module is used for exporting threshold information.
Further, the weight coefficient computing module includes performance trend weight computing module and grade of service weight fortune
Module is calculated, the performance trend weight computing module is used for according to computing type index, storage class index and service application index
Historical trend data obtains performance trend weight threshold, and the grade of service weight computing module is used for according to estimating activity cycle
Data acquisition service grade weight threshold, the maximum among performance trend weight threshold and grade of service weight threshold is set to
The weight coefficient of index.
Further, the bound constraints module includes upper limit metrics-thresholds computing module and lower limit threshold calculations
Module, the upper limit metrics-thresholds computing module are used for obtaining upper limit metrics-thresholds, institute according to weight coefficient and upper limit binding occurrence
Lower limit threshold calculation module is stated for according to weight coefficient and lower limit binding occurrence acquisition upper limit metrics-thresholds.
Further, the data acquisition module is additionally operable to gather history alarm processing information.
Further, the data base includes that storehouse and business Trend Prediction storehouse are estimated in alarm threshold storehouse, activity cycle, described
Threshold information is written to the alarm threshold storehouse by threshold value output module.
A kind of alarm threshold Dynamic Configuration of supervisory systems, specifically includes following steps：
Step 1, data acquisition：Obtain from data base and storage threshold configuration information, estimated data activity cycle and business
Trend Prediction data；
Step 2, weight coefficient computing：According to threshold configuration information, estimated data activity cycle and business Trend Prediction number
According to carrying out weight coefficient computing to index, obtain weight threshold；
Step 3, bound are constrained：Weight threshold and bound according to each index is constrained and obtains bound metrics-thresholds；
Step 4, threshold value are exported：Threshold values information is exported alarm threshold value storehouse again, original threshold values information is replaced.
Further, further comprising the steps of：
Step 5, alert analysis：According to threshold information and performance information on load, whether judge index data exceed threshold value, if
It is then to alert and process.
Further, in step 2, index is carried out weight coefficient computing formula=max (performance trend weight threshold,
Grade of service weight threshold).
Further, in step 3, upper limit metrics-thresholds=min (max (performance trend weight threshold, grade of service weight
Threshold value), the upper limit is constrained), lower limit threshold value=max (max (performance trend weight threshold, grade of service weight threshold), lower limit
Constraint).
The beneficial effects of the present invention is：By becoming to original threshold values configuration information, estimated data activity cycle and business
Gesture estimated data is acquired, and carries out weight coefficient computing, is finally constrained according to bound, output dynamic analysis threshold values, solves
The defect of threshold information configuration cannot be automatically performed in prior art.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the theory diagram of the alarm threshold dynamic configuration system of supervisory systems of the present invention；
Fig. 2 is the flow chart of the alarm threshold Dynamic Configuration of supervisory systems of the present invention；
Specific embodiment
Accompanying drawing in below in conjunction with the embodiment of the present invention, to the embodiment of the present invention in technical scheme carry out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiment.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Such as Fig. 1, the present invention proposes a kind of alarm threshold dynamic configuration system of supervisory systems, including data acquisition module
Block, weight coefficient computing module, bound constraints module and threshold value output module, data acquisition module are used for obtaining from data base
Take and store threshold configuration information, estimated data activity cycle and business Trend Prediction data；Weight coefficient computing module is used for
Weight coefficient computing is carried out to each index；Bound constraints module is used for constraining the data that hit the target according to the bound of each index
Reduction；Threshold value output module is used for exporting threshold information.
Specifically, in patent application, index refers to the monitored all indexs of IT supervisory systems, more specifically, refers to
Be to need operation maintenance personnel to need manually to be arranged those indexs of alarm threshold according to experience.
Data acquisition module is additionally operable to gather history alarm processing information and performance information on load.
The present invention is by original threshold values configuration information, estimated data activity cycle, business Trend Prediction data, index
Energy information on load, alarming processing information, carry out weight by system with reference to pointer type, business weight, numerical value trend
Coefficient computing, finally constrains according to bound, output dynamic analysis threshold values.
Weight coefficient computing module includes that performance trend weight computing module and grade of service weight computing module, performance become
Gesture weight computing module is used for the obtaining property of historical trend data according to computing type index, storage class index and service application index
Energy trend weight threshold, grade of service weight computing module are used for obtaining grade of service weight threshold according to estimated data activity cycle
Value, the weight coefficient that the maximum among performance trend weight threshold and grade of service weight threshold is set to index.
Bound constraints module includes upper limit metrics-thresholds computing module and lower limit threshold calculation module, upper limit index
Threshold calculation module is used for obtaining upper limit metrics-thresholds, lower limit threshold calculation module according to weight coefficient and upper limit binding occurrence
For obtaining upper limit metrics-thresholds according to weight coefficient and lower limit binding occurrence.
Data base includes that storehouse and business Trend Prediction storehouse are estimated in alarm threshold storehouse, activity cycle, and threshold value output module is by threshold
Value information is written to alarm threshold storehouse.
Specifically, in the present embodiment, the alarm threshold dynamic configuration system of supervisory systems is needed for running
Formula is identical with the formula that mentions in the alarm threshold Dynamic Configuration of supervisory systems.
As shown in Fig. 2 the invention allows for a kind of alarm threshold Dynamic Configuration of supervisory systems, specifically include with
Lower step：
Step 1, data acquisition：Obtain from data base and storage threshold configuration information, estimated data activity cycle and business
Trend Prediction data；
Specifically, can also gather and store history alarm processing information and performance information on load.
Step 2, weight coefficient computing：According to threshold configuration information, estimated data activity cycle and business Trend Prediction number
According to carrying out weight coefficient computing to index, obtain weight threshold；
In step 2, formula=max (performance trend weight threshold, the grade of service power of weight coefficient computing are carried out to index
Weight threshold value).
(1) performance trend weight threshold values：According to arithmetic type index (size such as CPU, measured using number, I/O, internal memory
Size, use number), storage class index (size, use number, I/O amounts) such as hard disk or storage array, service application index
The historical trend data of indexs such as (such as page response time, the page return error code probability), will be divided into multiple periods every day,
Threshold values dynamic adjustment is carried out by the period.
If b is set to the index amount of whole day period today, and xa2 is the upper limit index threshold values of whole day period yesterday, xb2
It is the lower limit threshold values of whole day period yesterday, z is the follow-up place of Administrator after the last index is alerted and is processed
Reason weight (1～10 point), the index bound threshold values computing formula of that today are as follows：
Upper limit threshold values xa1=max (1, (a*b+ (1 a) * xa2) * (1+z/100))；
Lower limit threshold values xb1=max (0, xb2+xa1-xa2)；
Wherein a represents the proportion in the sampling period, and such as sampled data is nearly 5 days, because b is the data of today, a=
1/5；Simultaneously as xa2 is not worth, then 0 is entered as, such as xb2 is not worth, and is also entered as 0.
(2) grade of service weight threshold values：According to operational action period class data, history is calculated with industry in an activity cycle
The index threshold values and corresponding business growth trend coefficient of each index of business association, the dynamic that threshold values is carried out to each index for associating
Adjustment.
If business discreet value is A1 in last activity cycle, computing index that it associated at that time, storage index, business should
Index threshold values is respectively XA1, XB1, XC1, then this each business activity cycle discreet value is A2, then in activity cycle this week
The computing index of the business association, storage index, the computing formula of the index threshold values of service application (refer to suitable for bound as follows
Mark)：
XA2=(A2/A1-1) * XA1
XB2=(A2/A1-1) * XB1
XC2=(A2/A1-1) * XC1
If business discreet value void value in wherein last activity cycle, (A2/A1-1) calculate instead of 0.
Step 3, bound are constrained：Weight threshold and bound according to each index is constrained and obtains bound metrics-thresholds；
In step 3, upper limit metrics-thresholds=min (max (performance trend weight threshold, grade of service weight threshold), the upper limit
Constraint), lower limit threshold value=max (max (performance trend weight threshold, grade of service weight threshold), lower limit are constrained).
Step 4, threshold value are exported：Threshold values information is exported alarm threshold value storehouse again, original threshold values information is replaced.
Specifically, present invention additionally comprises following steps：
Step 5, alert analysis：According to threshold information and performance information on load, whether judge index data exceed threshold value, if
It is then to alert and process.
The alarm threshold value dynamic configuration engine technique of the present invention, can help IT operation maintenance personnels to carry out threshold values index quickly just
Beginningization is simultaneously quickly updated according to business weight, so as to obtain meeting the corresponding alarm threshold value content of business trend, without
Omitting needs the warning information that turns down or the substantial amounts of workload of consuming to check originally
Alert investigation, carries out other work of IT O＆Ms so as to save out the more time.
Presently preferred embodiments of the present invention is the foregoing is only, not in order to limit the present invention, all in essence of the invention
Within god and principle, any modification, equivalent substitution and improvements that is made etc. should be included within the scope of the present invention.
Claims (9)
1. the alarm threshold dynamic configuration system of a kind of supervisory systems, it is characterised in that：Including data acquisition module, weight coefficient
Computing module, bound constraints module and threshold value output module, the data acquisition module are used for from data base obtaining and depositing
Storage threshold configuration information, estimated data activity cycle and business Trend Prediction data；It is right that the weight coefficient computing module is used for
Each index carries out weight coefficient computing；The bound constraints module is used for constraining the number that hits the target according to the bound of each index
According to reduction；The threshold value output module is used for exporting threshold information.
2. the alarm threshold dynamic configuration system of supervisory systems according to claim 1, it is characterised in that：The weight system
Number computing module includes performance trend weight computing module and grade of service weight computing module, the performance trend weight computing
Module is used for obtaining performance trend weight according to the historical trend data of computing type index, storage class index and service application index
Threshold value, the grade of service weight computing module are used for obtaining grade of service weight threshold according to estimated data activity cycle, will
Maximum among performance trend weight threshold and grade of service weight threshold is set to the weight coefficient of index.
3. the alarm threshold dynamic configuration system of supervisory systems according to claim 1, it is characterised in that：The bound
Constraints module includes that upper limit metrics-thresholds computing module and lower limit threshold calculation module, the upper limit metrics-thresholds calculate mould
Block is used for obtaining upper limit metrics-thresholds according to weight coefficient and upper limit binding occurrence, and the lower limit threshold calculation module is used for root
Upper limit metrics-thresholds are obtained according to weight coefficient and lower limit binding occurrence.
4. the alarm threshold dynamic configuration system of supervisory systems according to claim 1, it is characterised in that：The data are adopted
Collection module is additionally operable to gather history alarm processing information.
5. the alarm threshold dynamic configuration system of supervisory systems according to claim 1, it is characterised in that：The data base
Including estimating alarm threshold storehouse, activity cycle storehouse and business Trend Prediction storehouse, threshold information is write by the threshold value output module
Arrive the alarm threshold storehouse.
6. the alarm threshold Dynamic Configuration of a kind of supervisory systems, it is characterised in that：Specifically include following steps：
Step 1, data acquisition：Obtain from data base and storage threshold configuration information, estimated data activity cycle and business trend
Estimated data；
Step 2, weight coefficient computing：According to threshold configuration information, estimated data activity cycle and business Trend Prediction data, right
Index carries out weight coefficient computing, obtains weight threshold；
Step 3, bound are constrained：Weight threshold and bound according to each index is constrained and obtains bound metrics-thresholds；
Step 4, threshold value are exported：Threshold values information is exported alarm threshold value storehouse again, original threshold values information is replaced.
7. the alarm threshold Dynamic Configuration of supervisory systems according to claim 6, it is characterised in that：Also include following
Step：
Step 5, alert analysis：According to threshold information and performance information on load, whether judge index data exceed threshold value, if so,
Then alert and process.
8. the alarm threshold Dynamic Configuration of supervisory systems according to claim 6, it is characterised in that：In step 2, right
Index carries out the formula=max (performance trend weight threshold, grade of service weight threshold) of weight coefficient computing.
9. the alarm threshold Dynamic Configuration of supervisory systems according to claim 6, it is characterised in that：In step 3, on
Limit metrics-thresholds=min (max (performance trend weight threshold, grade of service weight threshold), the upper limit are constrained), lower limit threshold value
=max (max (performance trend weight threshold, grade of service weight threshold), lower limit are constrained).
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| CN108491310A (en) * | 2018-03-26 | 2018-09-04 | 北京九章云极科技有限公司 | A kind of daily record monitoring method and system |
| CN108846669A (en) * | 2018-05-29 | 2018-11-20 | 中国建设银行股份有限公司 | Method for safety monitoring, system, device and the storage medium of transaction |
| CN109194661A (en) * | 2018-09-13 | 2019-01-11 | 网易（杭州）网络有限公司 | Network attack alarm threshold configuration method, medium, device and calculating equipment |
| CN109254895A (en) * | 2018-08-21 | 2019-01-22 | 山东超越数控电子股份有限公司 | A kind of high-performance server accident analysis prediction technique based on BMC |
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| CN109766247A (en) * | 2018-12-19 | 2019-05-17 | 平安科技（深圳）有限公司 | Alarm setting method and system based on system data monitoring |
| CN112067048A (en) * | 2020-08-31 | 2020-12-11 | 广州珠江黄埔大桥建设有限公司 | ETC portal equipment real-time running state monitoring method based on Internet of things |
| CN112882954A (en) * | 2021-03-25 | 2021-06-01 | 浪潮云信息技术股份公司 | Distributed database operation and maintenance dynamic threshold value warning method and device |
| CN115701890A (en) * | 2022-12-14 | 2023-02-14 | 深圳富联富桂精密工业有限公司 | Method for adjusting alarm rule and related equipment |
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| CN107026771A (en) * | 2017-04-20 | 2017-08-08 | 北京京东尚科信息技术有限公司 | Method, device, electronic equipment and the computer-readable recording medium of threshold adaptive |
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| CN109194661B (en) * | 2018-09-13 | 2021-10-26 | 网易（杭州）网络有限公司 | Network attack alarm threshold configuration method, medium, device and computing equipment |
| CN109766247A (en) * | 2018-12-19 | 2019-05-17 | 平安科技（深圳）有限公司 | Alarm setting method and system based on system data monitoring |
| CN109766247B (en) * | 2018-12-19 | 2022-09-13 | 平安科技（深圳）有限公司 | Alarm setting method and system based on system data monitoring |
| CN112067048A (en) * | 2020-08-31 | 2020-12-11 | 广州珠江黄埔大桥建设有限公司 | ETC portal equipment real-time running state monitoring method based on Internet of things |
| CN112882954A (en) * | 2021-03-25 | 2021-06-01 | 浪潮云信息技术股份公司 | Distributed database operation and maintenance dynamic threshold value warning method and device |
| CN112882954B (en) * | 2021-03-25 | 2024-01-30 | 浪潮云信息技术股份公司 | Distributed database operation and maintenance dynamic threshold alarming method and device |
| CN115701890A (en) * | 2022-12-14 | 2023-02-14 | 深圳富联富桂精密工业有限公司 | Method for adjusting alarm rule and related equipment |
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