CN101150831A - Network element data processing method and device - Google Patents
Network element data processing method and device Download PDFInfo
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- CN101150831A CN101150831A CNA2007101762892A CN200710176289A CN101150831A CN 101150831 A CN101150831 A CN 101150831A CN A2007101762892 A CNA2007101762892 A CN A2007101762892A CN 200710176289 A CN200710176289 A CN 200710176289A CN 101150831 A CN101150831 A CN 101150831A
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Abstract
The embodiment of the invention relates to a net element data processing method and a device, the method comprises: collecting the original index of net elements; judging the version of net elements, determing an intermediate layer index corresponding to the version of net elements according to the original index; when doing the summarizing operation, utilizing directly the intermediate layer index as original data of the summarizing operation to calculate the summarizing compound index. The device comprises: a collecting module is used for collecting the original index of net elements; a judging/calculating module is used for judging the version of net elements, determing an intermediate layer index corresponding to the version of net elements according to the original index; a summarizing module is used for utilizing directly the intermediate layer index as original data of the summarizing operation to calculate the summarizing compound index. The net element data processing method and the device thereof improve the processing efficiency when summarizing indexes, keep relative stability of the index calculation formula.
Description
Technical field
The embodiment of the invention relates to the communications field, relates in particular to a kind of network element data processing method and device.
Background technology
At communication technical field, usually need carry out the performance monitoring and the network planning to wireless network, wherein one of of paramount importance means are exactly traffic measurement, traffic measurement is meant measures (comprising indexs such as traffic carrying capacity, load) to the performance of communication equipment and ambient network thereof, in order to the traffic data of network operation situation to be provided, for network design, optimization and upgrading provide reference.Wherein the method for traffic data processing is: the shared a index interface document of network element and webmaster, network element is gathered original index, and periodically report webmaster, webmaster calculates composite index according to original index, original index and composite index are deposited in the database in the lump, be used for follow-up inquiry and analysis.
Be example now, introduce network element data processing method in the prior art with " cutting off rate ".If cutting off rate=number of dropped calls ÷ call through number of times is with calculating equation expression as A=b ÷ c.If the cycle of traffic measurement is 30 minutes, as 16:01～16:30, if this time period is t1, the original index that network element collects is respectively number of dropped calls b (t1) and the call through number of times c (t1) in the t1, these data are reported webmaster, webmaster is A (t1)=b (t1) ÷ c (t1) according to the cutting off rate that the computing formula of cutting off rate calculates in the t1, and A (t1), b (t1) and c (t1) are deposited in the database.If will check the cutting off rate in 60 minutes, then need to gather computing, that is: calculate number of dropped calls b (t1) and call through number of times c (t1) and number of dropped calls b (t2) among 16:31～17:00s (be made as time period t 2) and the call through number of times c (t2) of network element in 16:01～16:30, then the cutting off rate in 16:01～17:00 (being made as time period t 3) is A (t3)=b (t3) ÷ c (t3)=(b (t1)+b (t2)) ÷ (c (t1)+c (t2)).This method is to be the initial data that gathers computing with original index, applies mechanically the computing formula of cutting off rate after original index is gathered by time dimension again and calculates, and the process that index gathers is finished in database.
For the network element of different editions, the computing formula of its cutting off rate might be different, and as in the V1 version, the computing formula of cutting off rate is A=b ÷ c, may become A=(b+d) ÷ (c+e) in the V2 version.At this problem, in the prior art there be network element data processing method:
(1) the version situation of change of ignorance network element is all made of the formula of latest edition and is gathered computing.The shortcoming of this method is: used original index may not exist in early version in the redaction, does not exist in the V1 version as original index d in the V2 version and e, and the formula that the network element of early version can't be applied mechanically redaction calculates; Even have original index d and e in the early version, but new early version may be different to the understanding of cutting off rate, apply mechanically the computing formula of redaction in the environment of early version, influenced user's susceptibility.
(2) computing formula of redaction for the computing formula that the network element of early version is applied mechanically early version, is applied mechanically by the version number of webmaster identification network element for the network element of redaction; Webmaster record network element version updating time point is when doing index and gather, to the computing formula of the nest before upgrading with the cutting off rate of early version, to the computing formula of the nest after the upgrading with the cutting off rate of redaction.Webmaster need write down the update time point of network element version, when gathering calculating, also needs to construct a query statement, and the time period of inquiry traffic measurement is before upgrading or after upgrading, applies mechanically the formula of corresponding version then.The shortcoming of this method is: the structure query statement has increased complexity, and carries out this query statement and greatly reduce efficient (according to test, carry out query statement make search efficiency reduce more than 50%), and performance seriously descends, and has influenced user's susceptibility; In addition, the computing formula difference of cutting off rate in the new early version, the user need pay extra study and adapt to cost, has also influenced user's susceptibility.
Summary of the invention
The embodiment of the invention provides a kind of network element data processing method and device, and the treatment effeciency when gathering with realization raising index keeps the computing formula of index relatively stable.
The embodiment of the invention provides a kind of network element data processing method, comprising:
The original index of acquisition network element;
Version to network element is judged, determines the Medium Counter of the version correspondence of this network element according to original index;
When gathering computing, directly calculate as the initial data that gathers computing and gather composite index with this Medium Counter.
The embodiment of the invention provides a kind of network element data processing unit, comprising:
Acquisition module is used for the original index of acquisition network element;
Judging is used for the version of network element is judged, determines the Medium Counter of the version correspondence of this network element according to original index;
Summarizing module is used for when gathering computing, directly calculates as the initial data that gathers computing with this Medium Counter and gathers composite index.
Network element data processing method that the embodiment of the invention provides and device, by determining Medium Counter, directly with this Medium Counter as the initial data that gathers computing, do not need original index is gathered computing, for different editions and the different network element of index computing formula, user level is represented Medium Counter, shielded original index, thereby keep the index computing formula relatively stable; And do not need to construct query statement, improved the treatment effeciency when index gathers.
Description of drawings
Fig. 1 is the flow chart of the embodiment of the invention one network element data processing method;
Fig. 2 is the flow chart of the embodiment of the invention two network element data processing methods;
Fig. 3 is the schematic diagram of embodiment of the invention network element data processing unit.
Embodiment
Below by drawings and Examples, the technical scheme of the embodiment of the invention is described in further detail.
The embodiment of the invention one network element data processing method:
As shown in Figure 1, the flow chart for the embodiment of the invention one network element data processing method specifically comprises the steps:
The original index of step 101, acquisition network element;
Present embodiment is by obtaining Medium Counter, directly with this Medium Counter as the initial data that gathers computing, do not need original index is gathered computing, for different editions and the different network element of index computing formula, user level is represented Medium Counter, shield original index, thereby kept the index computing formula relatively stable; And do not need to construct query statement, improved the treatment effeciency when index gathers.
The embodiment of the invention two network element data processing methods:
Present embodiment is an example to handle cutting off rate, establish to have two kinds of different network element versions of V1 and V2, and in different editions the computing formula difference of cutting off rate.The Medium Counter of present embodiment comprises the number of dropped calls B of broad sense and the call through number of times C of broad sense, wherein the computing formula of B and C is the linear index computing formula, so-called linear index computing formula is meant the signed magnitude arithmetic(al) that only comprises index in formula or the multiplication and division computing of index and constant, if occur the multiplication and division computing between index in the index computing formula, then this index computing formula is non-linear index computing formula.Therefore, the computing formula of B and C can be represented with following formula:
B=b1+b2+......+bp, wherein b1, b2 ... bp is a needed original index when calculating Medium Counter B under corresponding network element version, and p is the number of the original index of calculating B;
C=c1+c2+......+cq, wherein c1, c2 ... cq is a needed original index when calculating Medium Counter C under corresponding network element version, and q is the number of the original index of calculating C;
Above-mentioned Medium Counter B and C are meant the number of dropped calls of broad sense in section sometime and the call through number of times of broad sense, present embodiment claims that this time period was the 3rd time period, the 3rd time period comprised the more than one very first time section or second time period, when calculating B the 3rd time period was divided into an above very first time section, b1, b2 ... bp is the number of dropped calls in each very first time section; When calculating C the 3rd time period was divided into second time period more than one, c1, c2 ... cq is the call through number of times in each second time period.
In the present embodiment, the computing formula that is located at cutting off rate in the V1 version is A=b ÷ c, and b and c are the needed original index of V1 version; The computing formula of cutting off rate is A=(b+d) ÷ (c+e) in the V2 version, and b, c, d and e are the needed original index of V2 version; Wherein in the V1 version, the Medium Counter computing formula is: B=b, and C=c can be understood as: when calculating the Medium Counter in the 3rd time period, do not continue to divide for the 3rd time period; In the V2 version, the Medium Counter computing formula is: B=b+d, C=c+e, can be understood as: when calculating the Medium Counter in the 3rd time period, the 3rd time period was divided into 2 very first time sections, 2 second time periods respectively, the original index b and the d of 2 very first time sections of needs when calculating B, original index c and the e of 2 second time periods of needs when calculating C.
As can be known above-mentioned, the Medium Counter computing formula is linear formula under two kinds of versions.Composite index computing formula under two kinds of versions is all: A=B ÷ C.
As shown in Figure 2, the flow chart for the embodiment of the invention two network element data processing methods specifically comprises the steps:
The original index of step 201, acquisition network element;
If the 3rd time period of traffic measurement is 30 minutes, 16:01～16:30 for example, if the 3rd time period was t1, the original index of the required collection in the t1 can be determined according to the cutting off rate computing formula of the correspondence of the version of the network element of being gathered, for example, computing formula according to the cutting off rate of V1 and two version correspondences of V2 version can be determined, the original index of gathering in the t1 in the V1 version is b (t1) and c (t1), and the original index of gathering in the V2 version is b (t1), c (t1), d (t1) and e (t1).
Version to network element is judged, if the V1 version, then the Medium Counter computing formula is B=b, and C=c according to original index b that collects (t1) and c (t1), calculates Medium Counter B (the t1)=b (t1) of V1 version, C (t1)=c (t1); If V2 version, then the Medium Counter computing formula is B=b+d, and C=c+e is according to the original index b that collects (t1), c (t1), d (t1) and e (t1), calculate Medium Counter B (t1)=b (the t1)+d (t1) under the V2 version, C (t1)=c (t1)+e (t1).
Under the V1 version, with Medium Counter substitution composite index computing formula A=B ÷ C, calculating composite index is A (t1)=b (t1) ÷ c (t1); Under the V2 version,, calculate composite index A (t1)=(b (t1)+d (t1)) ÷ (c (t1)+e (t1)) with Medium Counter substitution composite index computing formula A=B ÷ C; Original index, Medium Counter and composite index are kept in the database.
Check n the cutting off rate in the 3rd time period when needs, then need to gather computing, gather computing and adopt following formula to calculate:
A=(B (t1)+B (t2)+...+B (tn)) ÷ (C (t1)+C (t2)+...+C (tn)), wherein B (t1), B (t2) ... B (tn) is the broad sense number of dropped calls in each the 3rd time period, C (t1), C (t2) ... C (tn) is the broad sense call through number of times in each the 3rd time period, and the time span of each the 3rd time period can equate.
Present embodiment for example checks that to check the cutting off rate of (2 the 3rd time periods) in 60 minutes the cutting off rate in 16:01～17:00 is an example.
If 16:01～16:30 is the 3rd time period t 1,16:31～17:00 is the 3rd time period t 2, and 16:01～17:00 is the 3rd time period t 3.Obtain Medium Counter and composite index in the t1 according to step 201～step 203, in like manner also can obtain Medium Counter and composite index in the t2.Be presented in respectively below under V1 and the V2 version, index gathers the situation of computing.
In the V1 version, the Medium Counter in t1 and the t2 is respectively B (t1)=b (t1), C (t1)=c (t1), and B (t2)=b (t2), C (t2)=c (t2), then the Medium Counter in the t3 is:
B(t3)＝b(t3)＝b(t1+t2)＝b(t1)+b(t2)＝B(t1)+B(t2)；
C(t3)＝c(t3)＝c(t1+t2)＝c(t1)+c(t2)＝C(t1)+C(t2)；
In the V1 version, because Medium Counter equals original index, doing when gathering computing, it is identical with the flow process that Medium Counter is gathered computing that original index is gathered computing, so can directly gather the Medium Counter that obtains in the t3 by t1 and the Medium Counter of storing in the database in the t2.
In the V2 version, the Medium Counter in t1 and the t2 is respectively B (t1)=b (t1)+d (t1), C (t1)=c (t1)+e (t1), and B (t2)=b (t2)+d (t2), C (t2)=c (t2)+e (t2), then the Medium Counter in the t3 is:
B(t3)＝b(t3)+d(t3)＝b(t1+t2)+d(t1+t2)＝b(t1)+b(t2)+d(t1)+d(t2)＝b(t1)+d(t1)+b(t2)+d(t2)＝B(t1)+B(t2)；
C(t3)＝c(t3)+e(t3)＝c(t1+t2)+e(t1+t2)＝c(t1)+c(t2)+e(t1)+e(t2)＝c(t1)+e(t1)+c(t2)+e(t2)＝C(t1)+C(t2)；
In the V2 version, because the Medium Counter computing formula is linear, doing when gathering computing, need be with original index as the initial data that gathers computing, and can directly gather the Medium Counter that obtains in the t3 according to the Medium Counter in t1 that stores in the database and the t2.
In sum, all can Medium Counter be gathered according to the Medium Counter computing formula of linearity in V1 and V2 version, this gathers computing according to time dimension, thereby obtains gathering Medium Counter B (t3) and C (t3); Under V1 and V2 version, the composite index computing formula is A=B ÷ C, applies mechanically this formula, and the composite index of calculating respectively under V1 and the V2 version that gathers is: A (t3))=B (t3) ÷ C (t3), obtain the cutting off rate in the t3.
The network element data processing method that present embodiment provides, by linear Medium Counter computing formula is set, when gathering computing, need be with original index as the initial data that gathers computing, but directly Medium Counter is gathered computing; For the different network element of the computing formula of different editions and cutting off rate, user level is represented Medium Counter, shielded original index, and the composite index computing formula under the different editions is identical, kept the computing formula of cutting off rate relatively stable; And do not need to construct query statement, improved the treatment effeciency when index gathers.
As shown in Figure 3, be the schematic diagram of embodiment of the invention network element data processing unit,, be used for the original index of acquisition network element comprising acquisition module 1; Judging 2 is used to receive the original index that acquisition module 1 is exported, and the version of network element is judged, selects the Medium Counter computing formula corresponding with the version of this network element, calculates Medium Counter according to original index; Summarizing module 3 is used to receive the Medium Counter that judging 2 is exported, and when gathering computing, directly calculates as the initial data that gathers computing with this Medium Counter and gathers composite index.
Present embodiment can also comprise memory module 4, be used to receive the original index of acquisition module 1 output and the Medium Counter of judging 2 outputs, and storage original index and Medium Counter, when gathering computing, original index and Medium Counter are sent to summarizing module 3.
Each module of present embodiment network element data processing unit can be corresponding with the step of embodiment of the invention network element data processing method.
Present embodiment is gathered original index by acquisition module 1, calculate Medium Counter by judging 2, and original index and Medium Counter be kept in the memory module 4, when gathering computing, directly with this Medium Counter as the initial data that gathers computing, do not need original index is gathered computing, for different editions and the different network element of index computing formula, user level is represented Medium Counter, shield original index, thereby kept the index computing formula relatively stable; And do not need to construct query statement, improved the treatment effeciency when index gathers.
It should be noted that at last: above embodiment only in order to the technical scheme of the explanation embodiment of the invention, is not intended to limit; Although the embodiment of the invention is had been described in detail with reference to previous embodiment, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of each embodiment technical scheme of the embodiment of the invention.
Claims (10)
1. network element data processing method is characterized in that comprising:
The original index of acquisition network element;
Version to network element is judged, determines the Medium Counter of the version correspondence of this network element according to original index;
When gathering computing, directly calculate as the initial data that gathers computing and gather composite index with this Medium Counter.
2. network element data processing method according to claim 1 is characterized in that, describedly gathers computing and gathers computing for what carry out at cutting off rate;
Described Medium Counter comprises the number of dropped calls B of broad sense, the call through number of times C of broad sense;
B=b1+b2+......+bp wherein, b1, b2 ... bp is for calculating the needed original index of B of corresponding network element version, and p is the number of the needed original index of B of calculating corresponding network element version;
C=c1+c2+......+cq, c1, c2 ... cq is for calculating the needed original index of C of corresponding network element version, and q is the number of the needed original index of C of the corresponding network element version of calculating.
3. network element data processing method according to claim 2, it is characterized in that, described original index b1, b2 ... bp is the number of dropped calls in each very first time section, described original index c1, c2 ... cq is the call through number of times in each second time period.
4. according to claim 2 or 3 described network element data processing methods, it is characterized in that, describedly gather computing and adopt following formula to calculate:
A=(Bt1+Bt2+......+Btn) ÷ (Ct1+Ct2+......+Ctn), wherein Bt1, Bt2 ... Btn is the number of dropped calls of the broad sense in each the 3rd time period, Ct1, Ct2 ... Ctn be the call through number of times of interior broad sense of each the 3rd time period;
The 3rd time period comprised the more than one very first time section or second time period.
5. network element data processing method according to claim 4 is characterized in that, the time span of each the 3rd time period equates.
6. network element data processing method according to claim 1 is characterized in that, also comprises after described definite Medium Counter: Medium Counter is kept in the database; Described calculating also comprises before gathering composite index: extract the Medium Counter in the database.
7. network element data processing method according to claim 1 is characterized in that, the Medium Counter computing formula of different network elements version correspondence is a linear formula.
8. network element data processing method according to claim 1 is characterized in that, Medium Counter is gathered computing be specially: according to time dimension Medium Counter is gathered computing.
9. network element data processing unit is characterized in that comprising:
Acquisition module is used for the original index of acquisition network element;
Judging is used for the version of network element is judged, determines the Medium Counter of the version correspondence of this network element according to original index;
Summarizing module is used for when gathering computing, directly calculates as the initial data that gathers computing with this Medium Counter and gathers composite index.
10. network element data processing unit according to claim 9 is characterized in that also comprising: memory module is used to store the original index of described acquisition module output and the Medium Counter of described judging output.
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| CN2007101762892A CN101150831B (en) | 2007-10-24 | 2007-10-24 | Network element data processing method and device |
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| CN2007101762892A CN101150831B (en) | 2007-10-24 | 2007-10-24 | Network element data processing method and device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387260A (en) * | 2011-10-20 | 2012-03-21 | 中兴通讯股份有限公司 | Method and system for determining dropped call rate |
| CN103475500A (en) * | 2012-06-07 | 2013-12-25 | 华为技术服务有限公司 | Method, device and system for network performance index acquisition |
| CN104123303A (en) * | 2013-04-27 | 2014-10-29 | 阿里巴巴集团控股有限公司 | Method and device for providing data |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100433774C (en) * | 2003-05-21 | 2008-11-12 | 华为技术有限公司 | Telephone bill data processing method and apparatus |
| CN1897540A (en) * | 2005-07-15 | 2007-01-17 | 中兴通讯股份有限公司 | Network element data processing method and system |
| CN100407206C (en) * | 2006-02-20 | 2008-07-30 | 华为技术有限公司 | Method and system for transformation between different version configuration data |
| CN100502313C (en) * | 2006-09-25 | 2009-06-17 | 华为技术有限公司 | A method to process network element data |
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2007
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387260A (en) * | 2011-10-20 | 2012-03-21 | 中兴通讯股份有限公司 | Method and system for determining dropped call rate |
| CN102387260B (en) * | 2011-10-20 | 2014-03-12 | 中兴通讯股份有限公司 | Method and system for determining dropped call rate |
| CN103475500A (en) * | 2012-06-07 | 2013-12-25 | 华为技术服务有限公司 | Method, device and system for network performance index acquisition |
| CN104123303A (en) * | 2013-04-27 | 2014-10-29 | 阿里巴巴集团控股有限公司 | Method and device for providing data |
| CN104123303B (en) * | 2013-04-27 | 2018-04-24 | 阿里巴巴集团控股有限公司 | A kind of method and device that data are provided |
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