CN101447934A - Business flow-recognizing method and system thereof and business flow charging method and system thereof - Google Patents
Business flow-recognizing method and system thereof and business flow charging method and system thereof Download PDFInfo
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Abstract
The invention relates to data charging technology and provides a business flow recognizing method and a system thereof and a business flow charging method and a system thereof, directing at the defects that the operating process of the existing interface recognizing method is tedious, the expandability of a flow characteristic recognizing method is poor and a deep packet detection method cannot process encrypted messages. The business flow recognizing method comprises the following steps: multiple transmission features of the business flow are acquired; corresponding feature weight of every transmission feature is read according to the type of the transmission feature to calculate the contribution value of the transmission feature; the sum of the multiple contribution values of the transmission features are calculated to recognize the type of the business flow. The business flow recognizing system and the business flow charging method and the system thereof are also provided by the invention. The accurate recognition of the type of the business flow can be realized; the feature weights on which the distribution value calculation is based can be preset and can be changed freely according to specific needs; data required for the calculation have no relation with concrete contents packaged in a data packet, therefore, the technology is also applied to the encrypted messages; the process is simple and can be realized easily.
Description
Technical field
The present invention relates to the data billing technology, more particularly, relate to a kind of Business Stream recognition methods and system and charging method and system.
Background technology
Along with the fusion of mobile network, fixed network and the Internet, IP-based data packet delivery has become a kind of trend, and this has not only changed the pattern of legacy network operation, and also very big to the influence of network monitoring and charging thereof.Service billing, content charging become the trend of network billing gradually, but how to carry out fast and accurately traffic identification is to select the prerequisite of charging way.
Traffic identification is meant according to the correlated characteristic of packet discerns the pairing type of service of this packet.And compare the identification of data packet traffic type, the identification of Business Stream is then seemed more with practical value.Business Stream generally is meant the set of the packet with identical attributes such as source IP, purpose IP, source port, destination interface, protocol type, time started and concluding time.And in the specific implementation process, be that benchmark comes identification services stream with source IP, purpose IP, source port, destination interface, protocol type only generally, the packet that promptly has identical five-tuple attribute (source point IP address, point of destination IP address, source port number, destination slogan, protocol-identifier number) constitutes a Business Stream.
Existing Business Stream recognition methods ports having method of identification, traffic characteristic method of identification (TLI) and deep-packet detection method (DPI).
The port identification method header packet information (protocol number that comprises the upper-layer protocol that the IP layer is carried in the router of at first extracting, the source address of packet, destination address, source port and destination interface), compare with preset rule then, draw its type of service according to result relatively.At present, this simple five-tuple ACL (Access Control List, Access Control List (ACL)) technology is quite ripe, routing device at all levels (comprise that the metropolitan area converges, metro core, keyly insert, the backbone converges, key core) in all can be supported preferably, especially in high-end devices, can efficiently handle, therefore obtain large-scale deployment with hardware mode.It is loaded down with trivial details that the weak point of this method is mainly reflected in layoutprocedure, and whole process all needs manual operations to finish; The configuration rule of each equipment is independent fully, can't realize jointly controlling; Recognition capability to concrete business is very poor; Means are simply evaded in use just can see through inspection.
Traffic characteristic method of identification (TLI, Transport Layer Identification) is by analyzing the transport layer data bag and in conjunction with the traffic characteristic that it shows, discerning certain network flow and belong to which kind of business.Above-mentioned traffic characteristic can be the feature string in the message, also can be to use behavioural characteristic, or some statistical natures.Recognition methods based on statistical nature has difficulties in real-time traffic identification application.The defective that the traffic characteristic method of identification exists is that autgmentability is poor, needs a large amount of ex ante analysises to determine exclusive feature.Therefore it is still rare in present preceding multimedia application.
Deep-packet detection method (DPI, Deep Packet Inspection) adopts protocal analysis and reduction technique, extracts the network application layer data, by analyzing the protocol characteristic value that its load comprises, judges the type of service of network traffics.It analyses in depth professional upper-layer protocol content with the object that is connected to of Business Stream, and the depth characteristic value detection of binding data bag and the analysis of agreement behavior are identified as purpose to reach the application layer procotol.This method can be understood the data flow with analytical applications layer (layer 7), and as in the HTTP form, DPI equipment can be discerned just accessed HTTP main frame, and carries out HTTP redirection.The classification of IP flow application level realizes real-time analysis and control to specific user or the service of customer group information stores.The method of identification of DPI comprises based on three kinds of the identification of the identification of " tagged word ", ALG, behavior pattern recognition.But DPI intractable encrypted messages.
Therefore, need a kind of Business Stream identifying schemes, overcome the defective that above-mentioned three kinds of methods exist.
Summary of the invention
The technical problem to be solved in the present invention is,, traffic characteristic method of identification autgmentability difference loaded down with trivial details at the operating process of existing port method of identification and deep-packet detection method can't be handled the defective of encrypting message, and a kind of Business Stream recognition methods and system and charging method and system are provided.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of Business Stream recognition methods is used for the identification services stream type, comprises the steps:
A plurality of transmission features of S1, the described Business Stream of collection;
S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above.
In Business Stream recognition methods provided by the invention, the type of described Business Stream be following type one of them:
Elastomeric flow;
Stable flow.
In Business Stream recognition methods provided by the invention, described transmission feature be following feature one of them:
Time delay;
Shake;
Packet loss;
Bandwidth.
In Business Stream recognition methods provided by the invention, described step S3 further comprises, if the contribution margin sum of described a plurality of transmission features is greater than predefined threshold value, then this Business Stream is stable flow; Otherwise this Business Stream is an elastomeric flow.
The present invention also provides a kind of Business Stream charging method, is used for Business Stream is chargeed, and comprises the steps:
A1, identification services stream type;
A2, it is chargeed according to traffic flow types,
Described steps A 1 further comprises:
A plurality of transmission features of S1, the described Business Stream of collection;
S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above.
The present invention also provides a kind of Business Stream recognition system, is used for the identification services stream type, comprising:
Acquisition module is used to gather a plurality of transmission features of described Business Stream;
The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above.
In Business Stream recognition system provided by the invention, the type of described Business Stream be following type one of them:
Elastomeric flow;
Stable flow.
In Business Stream recognition system provided by the invention, described transmission feature be following feature one of them:
Time delay;
Shake;
Packet loss;
Bandwidth.
In Business Stream recognition system provided by the invention, described judge module is used for the contribution margin of described a plurality of transmission features and predefined threshold value are compared, if the contribution margin sum of described a plurality of transmission features judges then that greater than predefined threshold value this Business Stream is stable flow; Otherwise, judge that this Business Stream is an elastomeric flow.
The present invention also provides a kind of Business Stream charge system, is used for Business Stream is chargeed, and comprising:
Identification module is used for the identification services stream type;
Accounting module communicates to connect with identification module, is used for it being chargeed according to traffic flow types,
Described identification module further comprises:
Acquisition module is used to gather a plurality of transmission features of described Business Stream;
The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above.
Implement technical scheme of the present invention, have following beneficial effect, calculate its contribution margin, judge the type of Business Stream again according to each contribution margin sum, can realize the accurate identification of traffic flow types according to the feature weight of each transmission feature of Business Stream; The feature weight of foundation can set in advance when calculating contribution margin, and can be according to specifically needing any change, therefore applicable to the identification of Business Stream arbitrarily; It is irrelevant to calculate the particular content that encapsulates in desired data and the packet, therefore is equally applicable to encrypted messages; Whole process operation is simple, is easy to realize.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the flow chart according to the Business Stream recognition methods of a preferred embodiment of the present invention;
Fig. 2 is the flow chart according to the charging method of a preferred embodiment of the present invention;
Fig. 3 is the structural representation according to the Business Stream recognition system of a preferred embodiment of the present invention;
Fig. 4 is the structural representation according to the Business Stream charge system of a preferred embodiment of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Fig. 1 is the flow chart according to the Business Stream recognition methods 100 of a preferred embodiment of the present invention.As shown in Figure 1, method 100 starts from step 102.
Subsequently, at next step 104, a plurality of transmission features of capturing service stream.Described transmission feature comprises such as but not limited to the time delay of Business Stream in transmission course, shake, packet loss and shared bandwidth etc.
Time delay refers to Business Stream needed Transmission Time Interval from the transmitting terminal to the receiving terminal, and the factor that influences time delay mainly contains propagation delay, link-speeds delay, exchange and route delay, queueing delay etc.
Shake referred in one period tactful time interval, the difference of the Business Stream propagation delay time of maximum Business Stream propagation delay time and minimum.
The ratio of the Business Stream total amount of the quantity of lost part and transmission when packet loss refers to that Business Stream transmitted between 2 o'clock.When network congestion, transmission impairment, surpass life cycle during TTL, just packet loss may take place.
Bandwidth also is throughput, refers to the transmission rate of IP operation stream, and available Mean Speed and peak rate are represented.
Subsequently,, read the feature weight of each transmission feature, calculate the contribution margin of each transmission feature at next step 106.
Subsequently, at next step 108, to the contribution margin summation of each transmission feature, the type feature value of computing service stream.
Subsequently, at next step 110, judge the type of Business Stream, for example elastomeric flow or stable flow according to the type feature value of Business Stream.
At last, method 100 ends at step 112.
Hereinafter come each step in the describing method 100 with instantiation.
Can be seen from the foregoing, the relation between type feature value and each transmission feature can be described by formula 1:
Y=β
0+ β
1x
1+ β
2x
2+ β
3x
3+ β
4x
4(formula 1)
Wherein, y is the type feature value; x
1～x
4Represent the time delay (unit is ms), shake (unit is ms), packet loss (ten thousand/) and the shared bandwidth transmission features such as (KB) that collect respectively, β
1～β
4Represent time delay, shake, packet loss and the shared pairing feature weight of bandwidth respectively.Can be seen from the foregoing, except time delay, shake, packet loss and shared bandwidth, also can comprise other parameters in the transmission feature.Because these other parameters are little to the size influence of type feature value, therefore available β
0Represent of the influence of these four transmission features of time delay, shake, packet loss and bandwidth other all transmission features in addition to the type feature value.β
1x
1～β
4x
4Represent time delay, shake, packet loss and the shared pairing contribution margin of bandwidth respectively.After calculating type feature value y, can compare the type that predefined threshold value is determined Business Stream, for example through above-mentioned formula 1, threshold value can be made as 0.5, definition is as if 0.5＜y＜1 simultaneously, and then traffic flow types is stable flow, if 0＜y＜0.5, then traffic flow types is an elastomeric flow.
Before coming compute type characteristic value y, at first need each feature weight β in definite formula 1 according to above-mentioned formula 1
1～β
4, and β
0Value, definite process of above-mentioned parameter also can be carried out according to formula 1.For example, at first gather the transmission feature of a plurality of Business Streams, the Business Stream of being gathered had both comprised stable flow, comprise elastomeric flow again,, its type feature value is made as 1 for stable flow, for elastomeric flow, its type feature value is made as 0, shown in the following tabulation 1 of the many groups transmission feature that collects:
Table 1
That is:
y
T＝(1，0，0，0，0，1，1，0，0)
Thereby can try to achieve
Next, judge the Business Stream of its type, just can judge its type of service according to the feature weight of above-mentioned formula 1 and the transmission feature that has just calculated for needs.For example for following one group of transmission feature:
Table 2
Can calculate type feature value (shown in the 6th row in the table 2) according to the concrete numerical value (shown in preceding 4 row in the table 2) of time delay, shake, packet loss and shared bandwidth.After calculating the above-mentioned type characteristic value, can be according to predefined threshold value, for example mentioned above 0.5, judge type of service, for example when the type feature value greater than 0.5 the time, then Business Stream is stable flow; When the type feature value less than 0.5 the time, then Business Stream is an elastomeric flow.As indicated above, represent stable flow with 1, represent elastomeric flow with 0.Through judging that the traffic flow types that obtains is shown in the 7th row in the above-mentioned table 2.Content shown in the 5th row is the true type of the pairing Business Stream of above-mentioned characteristic value in the above-mentioned table 2, and by the 5th row in the above-mentioned table 2 and the 7th row are compared as can be known, technical scheme provided by the invention is the type of identification services stream accurately.
The present invention also provides a kind of charging method based on above-mentioned Business Stream recognition methods, hereinafter just comes described in conjunction with Fig. 2.
Fig. 2 is the flow chart according to the charging method 200 of a preferred embodiment of the present invention.As shown in Figure 2, method 200 starts from step 202.
Subsequently, at next step 204, judge the type of Business Stream according to previously described method 100.
Subsequently, at next step 206, according to judge the traffic flow types that draws in step 204, select corresponding charging way, for example, if traffic flow types is stable flow, then optional content charges, promptly
Wherein, T
sBe conversation start time, T
eBe conversation end time, p
1It is the unit interval price of stable flow.
If traffic flow types is an elastomeric flow, then can select charge on traffic, promptly
F
2＝V×p
2
V is the data volume that a session is transmitted, p
2Unit discharge price for elastomeric flow.
At last, method 200 ends at step 208.
The present invention also provides a kind of Business Stream recognition system, below just described in conjunction with Fig. 3.
Fig. 3 is the structural representation according to the Business Stream recognition system 300 of a preferred embodiment of the present invention.As shown in Figure 3, Business Stream recognition system 300 comprises acquisition module 302, contribution margin computing module 304 and judge module 306.
Contribution margin computing module 304 communicates to connect with acquisition module 302, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature.
The present invention also provides a kind of charge system, below just described in conjunction with Fig. 4.
Fig. 4 is the structural representation according to the Business Stream charge system 400 of a preferred embodiment of the present invention.As shown in Figure 4, Business Stream charge system 400 comprises Business Stream identification module 402 and accounting module 404.
Business Stream identification module 402 is used for the identification services stream type, and its concrete structure is above being done detailed description in conjunction with Fig. 3, therefore repeats no more herein.
Accounting module 404 is used for the type according to Business Stream, Business Stream chargeed, such as but not limited to, elastomeric flow is carried out charge on traffic, content charging is carried out in stable flow.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1, a kind of Business Stream recognition methods is used for the identification services stream type, it is characterized in that, comprises the steps:
A plurality of transmission features of S1, the described Business Stream of collection;
S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above.
2, Business Stream recognition methods according to claim 1 is characterized in that, the type of described Business Stream be following type one of them:
Elastomeric flow;
Stable flow.
3, Business Stream recognition methods according to claim 1 is characterized in that, described transmission feature be following feature one of them:
Time delay;
Shake;
Packet loss;
Bandwidth.
4, Business Stream recognition methods according to claim 2 is characterized in that, described step S3 further comprises, if the contribution margin sum of described a plurality of transmission features is greater than predefined threshold value, then this Business Stream is stable flow; Otherwise this Business Stream is an elastomeric flow.
5, a kind of Business Stream charging method is used for Business Stream is chargeed, and comprises the steps:
A1, identification services stream type;
A2, it is chargeed according to traffic flow types,
It is characterized in that described steps A 1 further comprises:
A plurality of transmission features of S1, the described Business Stream of collection;
S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above.
6, a kind of Business Stream recognition system is used for the identification services stream type, it is characterized in that, comprising:
Acquisition module is used to gather a plurality of transmission features of described Business Stream;
The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above.
7, Business Stream recognition system according to claim 6 is characterized in that, the type of described Business Stream be following type one of them:
Elastomeric flow;
Stable flow.
8, Business Stream recognition system according to claim 6 is characterized in that, described transmission feature be following feature one of them:
Time delay;
Shake;
Packet loss;
Bandwidth.
9, Business Stream recognition system according to claim 7, it is characterized in that, described judge module is used for the contribution margin of described a plurality of transmission features and predefined threshold value are compared, if the contribution margin sum of described a plurality of transmission features judges then that greater than predefined threshold value this Business Stream is stable flow; Otherwise, judge that this Business Stream is an elastomeric flow.
10, a kind of Business Stream charge system is used for Business Stream is chargeed, and comprising:
Identification module is used for the identification services stream type;
Accounting module communicates to connect with identification module, is used for it being chargeed according to traffic flow types,
It is characterized in that described identification module further comprises:
Acquisition module is used to gather a plurality of transmission features of described Business Stream;
The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;
Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above.
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| CN101959308A (en) * | 2010-09-30 | 2011-01-26 | 中兴通讯股份有限公司 | Wireless data service classification method and device |
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| CN106130839A (en) * | 2016-07-12 | 2016-11-16 | 电子科技大学 | A kind of business recognition method being applied to broadband access network |
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| CN101959308A (en) * | 2010-09-30 | 2011-01-26 | 中兴通讯股份有限公司 | Wireless data service classification method and device |
| CN103684803A (en) * | 2013-12-11 | 2014-03-26 | 中国联合网络通信集团有限公司 | Flow collecting device and system and method for directional flow accounting |
| CN103684803B (en) * | 2013-12-11 | 2017-02-22 | 中国联合网络通信集团有限公司 | Flow collecting device and system and method for directional flow accounting |
| CN105245607A (en) * | 2015-10-23 | 2016-01-13 | 中国联合网络通信集团有限公司 | Proxy server dynamic automatic selection method and system |
| WO2017193427A1 (en) * | 2016-05-10 | 2017-11-16 | 华为技术有限公司 | Packet switching service recognition method and terminal |
| CN109076013A (en) * | 2016-05-10 | 2018-12-21 | 华为技术有限公司 | Packet switching service recognition methods and terminal |
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| CN106130839A (en) * | 2016-07-12 | 2016-11-16 | 电子科技大学 | A kind of business recognition method being applied to broadband access network |
| CN106130839B (en) * | 2016-07-12 | 2019-03-01 | 电子科技大学 | A kind of business recognition method applied to broadband access network |
| WO2022193860A1 (en) * | 2021-03-15 | 2022-09-22 | 中兴通讯股份有限公司 | Data transmission method and apparatus, electronic device, and storage medium |
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