CN101964997A - Method and device for carrying out early warning on network performance - Google Patents
Method and device for carrying out early warning on network performance Download PDFInfo
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Abstract
The invention discloses a method and device for carrying out early warning on network performance. The method for carrying out early warning on network performance comprises the following steps: collecting current network performance index data in real time; calculating the reference value of the dynamic early warning threshold according to the sample space of history network performance index data; confirming the dynamic early warning threshold according to the reference value of the dynamic early warning threshold; comparing the collected current network performance index data with the dynamic early warning threshold and carrying out early warning when the current network performance index data is not within the range of the dynamic early warning threshold. In the invention, the dynamic early warning threshold is set by collecting the history network performance index data and real-time monitoring is carried out on the network performance according to the dynamic threshold, so that the early warning threshold changes according to the network conditions, which improves the accuracy of early warning.
Description
Technical field
The present invention relates to a kind of wireless technology, relate in particular to a kind of network performance method for early warning and device.
Background technology
Mobile operator is by gathering, manage and analyze the quantitative analysis that realizes network operation index to the counter in each operation maintenance center of equipment vendors (Operation MaintenanceCenter is called for short OMC).Each counter among the OMC all with the GSM device in (the Mobile Switching Centre of mobile switching centre, abbreviation MSC), base station controller (Base StationController, abbreviation BSC), attaching position register (Home Location Register, be called for short HLR) wait some incident that network element takes place to be correlated with, i.e. the generation of certain incident can trigger corresponding counter and make accumulated counts.
Current method for supervising to network performance generally can adopt following dual mode:
One, the back takes place by the statistics on the manual extraction OMC in network failure, according to phenomenon of the failure and in conjunction with network maintenance experience fault is analyzed;
Two, carrying out alarming threshold according to appraisal standards sets, and according to certain measurement period timing extraction existing network statistics, compare with the alarming threshold that sets, trigger alarm when surpassing thresholding and notify the attendant with the form of audible and visual alarm or electronic work order, as on April 30th, 2008 disclosed application number be 200710093088.6 Chinese patent application " a kind of GSM network early warning analysis device and network early warning analysis method ", a kind of network early warning analysis method is disclosed, single taking judged the amplitude of variation of performance index, and shielded the trend that index changes by the mode that the amplitude that changes is taken absolute value, promptly also can produce early warning information to the variation that is in index under the lifting trend.
Network performance monitoring technology of the prior art mainly contains following defective:
(1) the early warning thresholding mainly relies on attendant's experience by artificial setting, can not change with network condition in real time, makes that the accuracy rate of early warning is lower;
(2) the abnormal data in the sampling period (desired value that promptly departs from daily average level) not being carried out validity verifies, and directly sampled data is made average treatment, can cause the omission of hidden failure information or the generation of a large amount of wrong early warning information, also restrict the accuracy of early warning to a great extent.
Summary of the invention
First purpose of the present invention is to provide a kind of network performance method for early warning, to realize exactly network performance index being carried out early warning.
Second purpose of the present invention is, a kind of network performance prior-warning device is provided, to realize exactly network performance index being carried out early warning.
According to first purpose of the present invention, a kind of network performance method for early warning is provided, comprising: gather current network performance index data in real time; Calculate the fiducial value of dynamic early warning thresholding according to the sample space of web-based history performance index data; Determine dynamic early warning thresholding according to the fiducial value of described dynamic early warning thresholding; Described current network performance index data that collect and described dynamic early warning thresholding are compared, when described current network performance index data are not within described dynamic early warning threshold range, carry out early warning.
According to second purpose of the present invention, a kind of network performance prior-warning device is provided, comprising: acquisition module is used to gather current network performance index data; The fiducial value computing module is used for calculating according to the sample space of web-based history performance index data the fiducial value of dynamic early warning thresholding; The threshold setting module is used for determining dynamic early warning thresholding according to described fiducial value; Network early warning module is used for described current network performance index data that collect and described dynamic early warning thresholding are compared, and carries out early warning when described current network performance index data are not within described dynamic early warning threshold range.
Network performance method for early warning of the present invention and device, according to the web-based history performance index data of gathering dynamic early warning thresholding is set, and real-time network performance is monitored in real time according to this dynamic threshold, like this, the early warning thresholding can be according to the network condition real-time change, thereby has improved the accuracy of early warning.The present invention also carries out the detection of validity to the network performance index data that collect, avoided the omission of fault message or the generation of a large amount of wrong early warning information, has also further improved the accuracy of network early warning.
Description of drawings
Fig. 1 is the flow chart of network performance method for early warning embodiment of the present invention;
Fig. 2 is the flow chart of another embodiment of network performance method for early warning of the present invention;
Fig. 3 is the structure chart of network performance prior-warning device embodiment of the present invention;
Fig. 4 is the structure chart of another embodiment of network performance prior-warning device of the present invention.
Embodiment
The present invention is described in detail below in conjunction with accompanying drawing.
Method embodiment one
Fig. 1 is the flow chart of network performance method for early warning embodiment one of the present invention.As shown in Figure 1, network performance method for early warning embodiment one may further comprise the steps:
These web-based history performance index data can be extracted from OMC, also can be stored in the middle of the network performance prior-warning device, for example cutting off rate, congestion ratio, wireless interface passband or the whole network handover success rate etc., web-based history performance index data as sample space, are gathered current network performance index data simultaneously;
Because web-based history performance index data may comprise the data of a plurality of network element granularities (MSC, BSC, CELL etc.), different time granularity (moon, week, day, hour etc.), therefore, can described web-based history performance index data be divided into different sample spaces according to network element granularity and time granularity;
Dynamically the fiducial value of early warning thresholding obtains by the mathematical expectation μ that calculates the sample space normal distribution, this fiducial value also can be a datum line, for example: datum line or fiducial value that the line that the mathematical expectation in the sampling period (24 hours) can be formed or single value defined are dynamic threshold.
Calculate the mean square deviation σ of sample space, according to mathematical expectation μ and mean square deviation σ dynamic early warning thresholding is set, wherein, mean square deviation σ represents that each sample point in the sample data departs from the average degree of fiducial value, be used for determining to allow the scope of network performance index fluctuation, i.e. tolerance;
Above step is carried out in circulation.
In the present embodiment, distribution character by the statistics network performance index, adopt the mathematical expectation μ of normal distribution theory to calculate the time dependent curve of cyclical fluctuations of network performance index, and with this as the dynamic benchmark line, and the unsteady tolerance of mean square deviation σ calculation of performance indicators of employing normal distribution theory, obtain dynamic early warning thresholding.This early warning thresholding is not the artificial fixed value of setting, but real-time change.Dynamically the setting of early warning thresholding makes that the judgement of network performance abnormal conditions is more accurate, helps improving the accuracy of network early warning.Simultaneously, to the active of network performance index monitoring, make the network element that the staff can note abnormalities in time.
Method embodiment two
Preferably, in the present embodiment step 104, can adopt two-layer tolerance line to form dynamic early warning thresholding, the tolerance that to get positive and negative 2 σ be general early warning, the tolerance that to get positive and negative 3 σ be important early warning.For the good more performance index (as cutting off rate, congestion ratio etc.) of the more little sign network operation situation of value, choose tolerance line on it, μ+2 σ and μ+3 σ; For the good more performance index (as wireless interface passband, the whole network handover success rate etc.) of the big more sign network operation situation of value, choose its tolerance line μ-2 σ and μ-3 σ down.
Present embodiment " 3 σ " rule by the normal distribution theory is set dynamic early warning thresholding, this early warning thresholding is not the artificial fixed value of setting, but real-time change.Dynamically the setting of early warning thresholding makes that the judgement of network performance abnormal conditions is more accurate, helps improving the accuracy of network early warning.
Method embodiment three
More preferably, in the step 104, dynamic early warning thresholding can be divided into a plurality of ranks, corresponding different respectively warning levels:
1. for example, dynamic early warning thresholding is divided rank according to the warning level of " important (Huang) ", " general (indigo plant) ".When network performance index is higher than tolerance line μ+2 σ, but when being lower than μ+3 σ (or be lower than tolerance line μ-2 σ down, and be higher than μ-3 σ), adopt " general (indigo plant) " warning level; When under network performance index is higher than tolerance line μ+3 σ or is lower than, tolerating line μ-3 σ, adopt " yellow (important) " warning level.
2. " red (promptly) ", the static early warning thresholding of " orange (seriously) " two-stage further are set, and soon operator is set at the static thresholding that produces serious early warning, promptly orange early warning thresholding to the examination value of every performance index in the management expectancy of the network operation; Limits value with deterioration degree of each performance index examination value (increase drop to 0.5 of examination fiducial value to 2 times of the examination fiducial value or wireless access and accompany as cutting off rate) and network element device disposal abilities at different levels, be set at the static thresholding that produces urgent early warning, i.e. the red early warning thresholding.
In Fig. 1 embodiment step 106, with the current network performance index data that collect, as the instantaneous value of wireless access, cutting off rate, telephone traffic etc. and the dynamic early warning thresholding that obtains according to promptly to order compare step by step, provide corresponding early warning when exceeding this rank early warning thresholding.After triggering early warning, early warning information is sent to early warning presents the interface, demonstrate the index of correlation information of early warning in real time, the staff can be by signs such as the overlay area in the parsing generation early warning element name, network element classification, performance index titles, the related network configuration information of early warning generation area and the common treatment flow process of this type of problem extracted in the OMC resource database, assisted user carries out troubleshooting.
Dynamic early warning threshold setting among the present invention is not limited to the situation in the present embodiment, also can adopt two-layer above tolerance line to form dynamic early warning thresholding.Dynamic early warning thresholding by multilayer tolerance line is formed makes more accurate for the judgement of network performance abnormal conditions.Simultaneously, the warning level that the early warning thresholding of different range is corresponding different, the method that this dynamic and static early warning combines makes the network early warning more accurate, and the staff can judge the rank of network abnormal conditions according to different early warnings, better network is safeguarded.
Method embodiment four
Fig. 2 is the flow chart of another embodiment of network performance method for early warning of the present invention.Owing to may comprise abnormal data in the web-based history performance index data that collect, promptly depart from the data of daily level, it should be deleted, as shown in Figure 2, before step 103, web-based history performance index data are carried out validity detect, may further comprise the steps:
In the present embodiment, be example explanation, extract each sub-district whole day twenty four hours telephone traffic, with each hour telephone traffic and the ratio of whole day traffic summation, promptly with the cell telephone traffic amount
As the telephone traffic characteristic amount, each characteristic quantity can be considered as one 24 the dimension vector, and itself and be 1; After normalization, all sub-districts of the whole network all use one 24 dimensional vector to characterize, each dimension is described be this hour the traffic situation account for the ratio of whole day traffic total amount, desalinated the difference of telephone traffic absolute value between the different districts;
Whether step 206, the degree of correlation that determining step 204 calculates less than preset threshold value, if, execution in step 208; Not, execution in step 104; For example, when two vector angles in the step 204 were 0, promptly cosine value was 1, and its degree of correlation is the highest; Angle is 180 when spending, and promptly cosine value is 0, and its degree of correlation is minimum;
Carrying out efficiency analysis with the traffic data to XXX districts and cities New Year's Day below is that example specifies method embodiment four.
XXX districts and cities 24 hours traffic datas of the whole month in December, 2008 whole day are:
X1(281，243，151，294，104，234，967，3100，5752，6700，6413，5772，5237，5434，5741，6262，6717，5969，5957，6134，5162，3652，2209，1283)；
On January 1st, 2009, the whole day traffic data was:
X2(2005，462，259，176，192，430，1501，3650，10086，9097，8266，7197，4877，7060，7235，7834，8563，7878，7945，8548，6071，3864，1343，833)。
Draw New Year's Day in 2009 and the previous month data degree of correlation is according to method embodiment four above-mentioned steps: 0.988906, is abnormal data and preestablish the degree of correlation less than 0.999 network performance index data, therefore the data on the same day on New Year's Day in 2009 are unavailable, with its deletion.
In the present embodiment, come the network performance index data that collect are carried out validity check by analyzing the data degree of correlation, the deletion degree of correlation does not satisfy the exception history data of the thresholding of setting, make dynamic early warning thresholding more meet the actual conditions of network according to historical data calculating, avoid the omission of hidden failure information or the generation of a large amount of wrong early warning information, improved the accuracy of network early warning.
Below by monitoring network performance method for early warning embodiment four of the present invention is described Network Call-drop Rate.
(8:00-13:00) wireless cutting off rate index is monitored when in January, 2009, the XXX network element was early busy.Extract cutting off rate in this time period of XXX network element the whole month in December, 2008 as sample data, calculate by the vector correlation degree it carried out preliminary treatment, obtain this network element granularity when early busy the mathematic expectaion μ and the meansquaredeviation of cutting off rate as shown in table 1:
Table 1 XXX network element cutting off rate in December tables of data
Wherein, this performance index data exception value is represented in the space, with its deletion.
When increasing, cutting off rate represents that index worsens, and gets the early warning Upper threshold that μ+2 σ and μ+3 σ are minor alarm and high severity alarm.According to above dynamic early warning thresholding XXX network element cutting off rate index on January 19th, 09 is monitored, currency is:
| Time | Network element | 8 o'clock | 9 o'clock | 10 o'clock | 11 o'clock | 12 o'clock | 13 o'clock |
| 2009-1-19 | XXX | 0.67 | 0.70 | 0.75 | 0.76 | 0.90 | 0.84 |
With current network performance index data and dynamic early warning thresholding relatively after as can be known, 10 o'clock on the 9th January and 12 o'clock, cutting off rate was 0.75 and 0.90, exceed serious dynamically 0.70 and common dynamic early warning thresholding 0.89 of early warning thresholding, started yellow and blue early warning scheme respectively.
Device embodiment one
Fig. 3 is the structure chart of network performance prior-warning device embodiment of the present invention.As shown in Figure 3, network performance prior-warning device embodiment comprises:
Fiducial value computing module 306 is used for calculating according to the sample space of web-based history performance index data the fiducial value of dynamic early warning thresholding, and the calculating of fiducial value is described in detail in said method embodiment one step 103, does not repeat them here;
Network early warning module 310, be used for the current network performance index data that collect in real time being monitored according to dynamic early warning thresholding, and when current network performance index data are not within the dynamic threshold scope, carry out early warning, preferably, network early warning module 306 can be with current network performance index data and the dynamic early warning thresholding that obtains according to promptly comparing step by step to general order, when exceeding this rank early warning thresholding, provide corresponding early warning.
Among this device embodiment, web-based history performance index data can be extracted from OMC, also can be stored in the middle of the network performance prior-warning device.The network performance prior-warning device also comprises memory module, is used to store web-based history performance index data, i.e. storage collects current network performance index data at every turn.
After the early warning of network early warning module 308 triggers, the network performance prior-warning device is sent to early warning with early warning information and presents the interface, demonstrate the index of correlation information of early warning in real time, the staff can parse signs such as the overlay area that takes place in the early warning element name, network element classification, performance index title by the early warning resolver, the related network configuration information of early warning generation area and the common treatment flow process of this type of problem extracted in the OMC resource database, assisted user carries out troubleshooting.
The network performance prior-warning device of present embodiment by the setting of dynamic early warning thresholding, makes that the judgement of network performance index abnormal conditions is more accurate, helps improving the accuracy of network performance index early warning.Simultaneously, the active monitoring to network performance index makes the staff can find to occur unusual network element in time.
Device embodiment two
Fig. 4 is the structure chart of another embodiment of network performance prior-warning device of the present invention.As shown in Figure 4, the real data detection module 304 that also comprises of network performance prior-warning device detects the validity of web-based history performance index data, and this data detection module 304 comprises:
Normalized submodule 3042 is used for the web-based history performance index data that collect are carried out normalized, obtains the performance index characteristic vector;
In the present embodiment, analyzing the data degree of correlation by data detection module 304 comes the network performance index data that collect are carried out validity check, the deletion degree of correlation does not satisfy the exception history data of the thresholding of setting, make dynamic early warning thresholding more meet the actual conditions of network according to historical data calculating, avoid the omission of hidden failure information or the generation of a large amount of wrong early warning information, improved the accuracy of network early warning.
Preferably, in the present embodiment, because web-based history performance index data may comprise the data of a plurality of network element granularities (MSC, BSC, CELL etc.) different time granularity (moon, week, day, hour etc.), therefore, can also comprise the packet module, be used for web-based history performance index data being divided into different sample spaces according to network element granularity and time granularity.
The network performance method for early warning and the device of various embodiments of the present invention can be applied in the network of existing various standards, as GSM, CDMA or TD-CDMA etc.
It should be noted that: above embodiment is only unrestricted in order to explanation the present invention, and the present invention also is not limited in above-mentioned giving an example, and all do not break away from the technical scheme and the improvement thereof of the spirit and scope of the present invention, and it all should be encompassed in the claim scope of the present invention.
Claims (17)
1. a network performance method for early warning is characterized in that, comprising:
Gather current network performance index data in real time;
Calculate the fiducial value of dynamic early warning thresholding according to the sample space of web-based history performance index data;
Determine dynamic early warning thresholding according to the fiducial value of described dynamic early warning thresholding;
Described current network performance index data that collect and described dynamic early warning thresholding are compared, when described current network performance index data are not within described dynamic early warning threshold range, carry out early warning.
2. network performance method for early warning according to claim 1 is characterized in that, the operation of the fiducial value of the dynamic early warning thresholding of described calculating comprises:
Calculate the data desired value of described web-based history performance index data normal distribution, described mathematical expectation is the fiducial value of described dynamic threshold.
3. network performance method for early warning according to claim 1 and 2 is characterized in that, also comprises before the operation of the fiducial value of the dynamic early warning thresholding of described calculating: the validity that detects described web-based history performance index data.
4. network performance method for early warning according to claim 3 is characterized in that, the operation of the validity of the described web-based history performance index of described detection data specifically comprises:
Described web-based history performance index data are carried out normalized, obtain the performance index characteristic vector;
The degree of correlation of the historical performance index characteristic vector of calculating described performance index characteristic vector and prestoring;
When the described degree of correlation during, delete the described network performance index data that collect less than preset threshold value.
5. network performance method for early warning according to claim 4 is characterized in that, calculates the degree of correlation of described performance index characteristic vector and historical performance index characteristic vector according to the cosine law.
6. network performance method for early warning according to claim 1 and 2 is characterized in that, also comprises before the operation of the fiducial value of the dynamic early warning thresholding of described calculating:
According to network element granularity and time granularity described web-based history performance index data are divided into different sample spaces.
7. network performance method for early warning according to claim 2 is characterized in that, determines that according to the fiducial value of described dynamic early warning thresholding the operation of dynamic early warning thresholding specifically comprises:
Calculate the mean square deviation of described sample space;
According to described fiducial value and described mean square deviation described dynamic early warning thresholding is set.
8. network performance method for early warning according to claim 7 is characterized in that, described dynamic early warning thresholding comprises one or more levels dynamic early warning thresholding.
9. network performance method for early warning according to claim 8 is characterized in that, described dynamic early warning thresholding comprises:
Common dynamic early warning thresholding is μ+2 σ or μ-2 σ,
Important dynamic early warning thresholding is μ+3 σ or μ-3 σ, and wherein μ is described mathematical expectation, and σ is a mean square deviation.
10. network performance method for early warning according to claim 1 is characterized in that, the described operation that dynamic early warning thresholding is set also comprises afterwards:
A plurality of other static early warning thresholdings of level are set.
11. a network performance prior-warning device is characterized in that, comprising:
Acquisition module is used to gather current network performance index data;
The fiducial value computing module is used for calculating according to the sample space of web-based history performance index data the fiducial value of dynamic early warning thresholding;
The threshold setting module is used for determining dynamic early warning thresholding according to described fiducial value;
Network early warning module is used for described current network performance index data that collect and described dynamic early warning thresholding are compared, and carries out early warning when described current network performance index data are not within described dynamic early warning threshold range.
12. network performance prior-warning device according to claim 11 is characterized in that, described fiducial value computing module is further used for calculating the mathematical expectation of described web-based history performance index data normal distribution, as the fiducial value of described dynamic early warning thresholding.
13. according to claim 11 or 12 described network performance prior-warning devices, it is characterized in that, also comprise: data detection module is used to detect the validity of described web-based history performance index data.
14. network performance prior-warning device according to claim 13 is characterized in that, described data detection module comprises:
The normalized submodule is used for the described web-based history performance index data that collect are carried out normalized, obtains the performance index characteristic vector;
The relatedness computation submodule is used to calculate the degree of correlation of described performance index characteristic vector and the historical performance index characteristic vector that prestores;
Comparison sub-module is used for the more described degree of correlation and preset threshold value, when the described degree of correlation during less than described threshold value, deletes the described web-based history performance index data that collect.
15. network performance prior-warning device according to claim 12 is characterized in that, described threshold setting module is further used for calculating the mean square deviation of described sample space, according to described fiducial value and described mean square deviation described dynamic early warning thresholding is set.
16. network performance prior-warning device according to claim 15 is characterized in that, described dynamic early warning thresholding comprises:
Minor alarm thresholding μ+2 σ or μ-2 σ; And/or important dynamic early warning thresholding μ+3 σ or μ-3 σ.
17. network performance prior-warning device according to claim 11 is characterized in that, also comprises; The packet module is used for according to network element granularity and time granularity described web-based history performance index data being divided into different sample spaces.
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