CN1716867A - Data flow statistic method and device - Google Patents
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Abstract
This invention discloses a kind of method and device for data efflux statistics; the said method includes the following steps: preset categorical eigenvector for classifying the data efflux and divide the classified data efflux into the statistic eigenvector of the statistic efflux; classify the data efflux according to the said classified characteristic eigenvector; divide the said classified data efflux into various statistic effluxes. The said device includes the efflux classifier, efflux sorter and statistic calculator. With the efflux classification and the classified data efflux automatically dispersed into statistic efflux. The present invention can flexibly carry out the data efflux statistics and also further reduce the systematic resources occupation.
Description
Technical field
The present invention relates to data communication technology field, in particular, relate to a kind of data flux statistics method and device.
Background technology
Along with the mankind carry out the increase of information interchange by network, in data communication network, it is more and more higher that network connects complexity.Behind community user and the enterprise's network accessing Internet, the application of setting up trans-regional connection by ISP is becoming more and more general.
In the present commercial operation, simple according to the mode of charging that is connected of not doing service quality and flow assurance, can not meet the need of market.For example, in data communication field always chargeing by service time, but along with the development of data communication, the emerging in large numbers of various new business, this pure mode of simply chargeing according to timing can not be met consumers' demand.For example, along with carrying out of wireless data service, the mode of chargeing by data traffic has appearred, and along with 2.5 generation wireless communication technology and 3 generation wireless communication technology further application, emerge again by the demand of content charging.
In addition, operator wishes the data flow of different content is carried out different chargings in order better to carry out some new business.For example adopt cheap rates, the Internet resources of outside are adopted high rate for more inner Internet resources; Adopt cheap rate for the big business of some data volumes, video flowing for example, for the little business of some data volumes, for example stock information then adopts high rate etc.Also press for the network equipment (switch or router) in some campus networks and enterprise network and can support to carry out flexible charging by the content of packet, these all need the data flow is added up.
And the enterprise customer is in order rationally to use network, and the use of monitor network is more and more paid close attention to for network details of use situation.Operator will rationally adjust the optimization existing network, and network is carried out performance optimization, also must be based on detailed network flow statistic information.
Based on the needs of above commerce, operator and network management designer more and more pay close attention to the detailed communication conditions of equipment.Data communication products arises at the historic moment based on the detailed data flow information statistical technique of interface.
Data flux statistics technology at present relatively more commonly used be on the network equipment with packet by source, purpose IP address, source, destination slogan, protocol number, the input outgoing interface carries out statistic of classification, just all data flow are added up earlier, then statistics is outputed on the external equipment, and then on demand these information are carried out aggregation processing, obtain required statistical information.
In this method all packets all fix by source, purpose IP address, source, destination slogan, protocol number, the input outgoing interface is separated into the minimum unit of data flow one by one, carries out statistic of classification then.Though it is very comprehensive to do statistics like this, but because classification is too thin, need take big quantitative statistics resource, if for example only need add up the data traffic that certain user sends, just the data flow of all services of this user capture all must be carried out statistic of classification according to this method, if this user capture up to ten thousand services then need set up up to ten thousand statistical items, this can consume a large amount of system resource.Simultaneously, owing to also need to transmit great number of statistic data, also can seriously reduce the performance of whole system.
And earlier all data are added up in this method, and then the result who adds up is carried out aggregation processing according to user's demand, and cause a large amount of unwanted packets also to be added up, waste system resource.
In addition, this method is also dumb, can only use several data aggregate modes of appointment, and the content that needs statistics can not be set flexibly, uses and inconvenience.
Another widely used data flux statistics scheme is by using Access Control List (ACL) (ACL, Access Control List) technology is carried out data flux statistics, ACL is a kind of access control technology, obtain desired data traffic statistics information by arranging access control list on the network equipment, Access Control List (ACL) comprises user scope, access profile field etc., wherein the user scope field is used to write down all users' the characteristic information of the data flow of needs statistics, user's characteristic information can be user's the network address and mask, can also be connected in interface message on the access server for the user, scope of business field is used to write down the characteristic information of all business tines of the data flow of needs statistics, and the characteristic information of business tine comprises the network address of business tine, mask, transport layer protocol and transport layer port scope etc.
Its feature is at ACL of an objects of statistics configuration, adds up a plurality of data flow and will dispose a plurality of ACL.Because an ACL can only separate a statistics stream, if a plurality of data flow are added up, must be to ACL of each stream data definition that need add up, but the ACL finite capacity of equipment and the configuration of ACL be more complicated also, and therefore, this scheme only is fit to the fewer situation of objects of statistics, and it is next inapplicable to the very big situation of objects of statistics number, for example to each user statistics of chargeing then be needed dispose ACL to each user, can't realize at all because objects of statistics is extremely huge.
And the data configuration amount of this arrangements ACL is bigger, and the maintenance of configuration data is bothered very much, if revise very difficulty of statistical, is not suitable for releasing fast new business.
In addition, this scheme can't be carried out user class charging statistics on the network of network address dynamic assignment, reason is that user's address changes, and can't it be separated with fixing ACL, so can't carry out user class charging statistics on the network of network address dynamic assignment.
Summary of the invention
The technical problem that the present invention solves provides a kind of data flux statistics method and device, realizing carrying out flexibly data flux statistics, and can further reduce system resource and takies.
For addressing the above problem, data flux statistics method of the present invention comprises step:
A. the default characteristic of division item that data stream is classified, sorted data flow is divided into the statistical nature item of statistics stream;
B. according to described characteristic of division item data stream is classified;
C. according to described statistical nature item described sorted data flow is divided into each statistics stream;
D. carry out corresponding data flow statistics according to described each statistics stream.
Wherein, described statistical nature item comprises discrete property parameters, described discrete property parameters is defined as according to this statistical nature item data flow is divided into the particle size range that each statistics flows, and step C is divided into each statistics stream according to the particle size range of the discrete property parameters setting of this statistical nature item with sorted data flow.
Wherein, step D carries out data flux statistics and comprises:
The statistics stream beginning and ending time;
The bag number of statistics stream and the byte number of data flow;
The statistics stream cycle.
Wherein, also comprise collection of statistical data, and described statistics is presented at statistics equipment or outputs to data center.
Wherein, described characteristic of division item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
Wherein, described statistical nature item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
Correspondingly, data flux statistics device of the present invention comprises:
Flow classifier disposes and is used for characteristic of division item that data stream is classified, be used for will be by the network equipment according to described characteristic of division item data flow classification for needing the data flow of statistics;
Stream is divided device, disposes the statistical nature item that is used for data flow is divided into statistics stream, is used for according to described statistical nature item described sorted data flow being divided into each statistics stream;
Counter is used for carrying out corresponding data flow statistics according to described each statistics stream.
Wherein, described statistical nature item comprises discrete property parameters, described discrete property parameters is defined as according to this statistical nature item data flow is divided into the particle size range that each statistics flows, and described stream division device is divided into each statistics stream according to the particle size range of the discrete property parameters setting of this statistical nature item with sorted data flow.
Wherein, described counter carries out data flux statistics and comprises:
The statistics stream beginning and ending time;
The byte number of statistics stream bag number and data flow;
The statistics stream cycle.
Wherein, also comprise data acquisition unit, be used to gather statistics, and the statistics of gathering shown on statistics equipment or export to data center.
Wherein, described characteristic of division item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
Wherein, described statistical nature item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
Compared with prior art, the present invention has following beneficial effect:
The efficient height, by the configuration flow grader data flow is carried out filtering classification earlier, have only the user need charge the statistics packet just add up, do not have unnecessary packet like this and added up, directly generate required statistics according to the particle size range of discrete property parameters of the statistical nature item of configuration then and flow.Owing to do not use convergence technology, employing be the technology that directly data flow is decomposed the granularity that needs statistics, so much smaller to taking of resource.
Flexible configuration, the user can be configured into line data stream statistics by the characteristic item combination in any of data flow, rather than fixes and add up by the several characteristic item, and the certain system also several configuration modes commonly used of definable provides the user directly to use, to simplify user's configuration.
Dispose simple and convenient, the function that some just can be finished by thousands of configurations of ACL Technology Need, configuration of the present invention just can be finished.For example as long as configuration is opened by source address is discrete, just can obtain the packet charging statistical information of each user by equipment, all dispose ACL but adopt the ACL technology then to be necessary for each user, this is a very huge numeral.
And for the unfixed network in the network address, ability distributing IP address when each user uses network, so just can't set in advance ACL at this station address, so being the charging that can not carry out user class, the ACL technology adds up, but it is that each statistics flows that the present invention only need specify discrete according to the statistical nature item, and need not dispose concrete station address information, just no problem in the realization.
Easily expansion, it can the expansion easily along with increasing traffic classification characteristic item, if new data stream type, just can realize new charging statistical function as long as extract its characteristic item, the scope of application will be much larger than prior art.
Description of drawings
Fig. 1 is the flow chart of data flux statistics method of the present invention;
Fig. 2 is that data flux statistics device specific embodiment of the present invention is formed schematic diagram.
Embodiment
Data flow is meant the set of the data of certain feature, and described feature can be source, the destination address of packet, source, destination slogan, and protocol number, input/output interfaces etc. can be classified as a data flow to the packet that satisfies these features usually.Statistics is meant some management characteristics of data flow carried out record, for example time, cycle, packet number, and packet size or the like adds up, and the result of record can be used as the foundation of charging, also can be used for the flow analysis of webmaster.Utilize the technology of traffic classification and discrete automatically statistics stream technology to realize data flux statistics among the present invention, statistics can be used for webmaster, network analysis planning and charging many aspects.
Fig. 1 is the flow chart of data flux statistics method of the present invention, and data flux statistics of the present invention mainly may further comprise the steps:
Step 10, is divided into sorted data flow the statistical nature item of statistics stream at the default characteristic of division item that data stream is classified;
The present embodiment system can indicate the classification and the statistical property of a data flow by definition series of features item, and item of characteristic of division described in the present invention and statistical nature item include but not limited to following characteristic item:
(1) source, purpose VLAN (VLAN, Virtual LAN) number; (2) source, destination address scope, for example: Media Access Control address, Internet Protocol address, (ULR, Uniform Resoure Locator) address, unified resource location etc.; (3) protocol type and range of port number, Hypertext Transfer Protocol (HTTP for example, Hyper Text Transport Protocol), file transfer protocol (FTP) (FTP, File Transfer Protocol), real-time stream media protocol (RTSP, Real Time StreamingProtocol), Internet Protocol (IP, Internet Protocol), Internetwork Packet Exchange (IPX, Internet Packet Exchange), transmission control protocol (TCP, Transfer Control Protocol), User Datagram Protoco (UDP) (UDP, User Datagram Protocol), address resolution protocol procotols such as (ARP, AddressResolution Protocol); (4) autonomous system of Routing Protocol number and route next jump address (5) COS (Tos, Type of Service) scope; (6) access interface; (7) characteristic item of other energy characterization data Bao feature; (8) can be the part or all of combination in any of above feature.By defining these features, just can from the data flow of network, isolate the packet of the statistics of need chargeing.
Need to prove that described characteristic of division item and statistical nature item can be identical, also can be different, determine voluntarily by the user.
Step 11 is classified to data stream according to described characteristic of division item;
The traffic classification process is that a plurality of data segments to message mate, and the process of output matching result.During specific implementation, can classify to data stream according to different characteristic of division items, for example, if with source, purpose IP address is the characteristic of division item, then can adopt the mode of IP address and prefix (or mask) to mate, that is: if the IP address is identical with the designated length of prefix, then think to match each other, and can adopt the mode of coupling fully (perhaps accurately coupling) for the coupling of protocol type, promptly protocol type equates with set point just to think and matches each other; And can adopt the mode of coupling fully or commensurate in scope for the coupling of port numbers, and adopting under the commensurate in scope mode, parameter value drops on selected interval and promptly thinks and mutual coupling, describe here no longer one by one in detail because traffic classification is a techniques well known.
Step 12 is divided into each statistics stream according to described statistical nature item with described sorted data flow;
Above-mentioned by traffic classification data flow has been restricted to need statistics among a small circle in, this step only needs according to the statistical nature item sorted data flow is divided into needed statistics stream.
Be discrete attribute mark of above-mentioned statistical nature item definition (promptly discrete property parameters) and granularity (being parameter area) in the present embodiment, the discrete attribute here is an attribute of statistical nature item, granularity then is meant to be sorted out by great granularity according to this characteristic item data flow, and the data flow in particle size range all is classified as a statistics stream.If the characteristic of correspondence item is provided with discrete attribute mark, to be keyword by the granularity of the setting expansion of dispersing with this characteristic item when dividing statistics stream, that is to say if being somebody's turn to do of a packet dispersed attribute not in same particle size range, then think a new statistics stream, need it is separately added up.For example, suppose a network with the IP address preceding 24 as network number (common network may a corresponding department or a project), if disperse by source IP address, granularity is 24 bitmasks, then preceding 24 the identical data flow of source address are a statistics stream, and what obtain like this is exactly the data stream statistics situation of each network (department or project).
Need to prove, a plurality of characteristic item discrete markers can be set simultaneously, this several characteristic item that a packet of expression is set of a plurality of characteristic item discrete markers is if not all will separately adding up in particle size range.For example: if we are provided with the discrete attribute of source IP address, purpose IP address, granularity all is 32 bitmasks, then the data flow that each source IP is different with purpose IP is exactly a statistics stream, can obtain the situation of different user visit various objectives IP by such setting, if need each user's operating position of statistics, only needing the configuration source IP address is the statistical nature item, setting its discrete granularity is 32 bitmasks, system just can add up by source IP, the packet statistics that all source IP addresss are identical is one, i.e. a statistics stream.Just can obtain required various objects of statistics by disposing different discrete signs like this.
Step 13 is carried out corresponding data flow statistics according to described each statistics stream.
The present invention is by isolating each statistics stream from the data flow of network, directly carry out corresponding data flow statistics, statistical content is except that all or part of characteristic item that comprises the front, also comprise: (1) statistics flows initial statistical time range, byte number (3) the statistics stream cycle of processing completion time used for them (2) statistics stream bag number and data flow.
Step 14, collection of statistical data, and described statistics is presented at statistics equipment or outputs to data center.
Statistics can show on statistics equipment directly and also can output in the computing equipment or on the network equipment that the content of output can be used for chargeing or being used for network management.By analyzing the content of output, can be used for phase-split network safety, offered load, the distribution situation of network data flow.By analysis result, can be by hand or adjust network equipment parameter and network configuration automatically, make network traffics obtain equilibrium, can also find unsafe attack, adjust security strategy.Also can be by data analysis, the flow of anticipation network is used for the network planning.
Fig. 2 forms schematic diagram for the specific embodiment of data flux statistics device of the present invention.Data flux statistics device of the present invention mainly comprises flow classifier, stream division device, counter and statistical data collection device, describes respectively below:
Flow classifier, flow classifier described in the present embodiment dispose and are used for characteristic of division item that data stream is classified, be used for will be by the network equipment according to described characteristic of division item data flow classification for needing the data flow of statistics;
Stream is divided device, disposes the statistical nature item that is used for data flow is divided into statistics stream, is used for being divided into each statistics stream according to the described sorted data flow of described statistical nature item;
The described statistical nature item that stream described in the present invention is divided the device configuration comprises discrete property parameters, described discrete property parameters is defined as according to this statistical nature item data flow is divided into the particle size range that each statistics flows, and described stream division device is divided into each statistics stream according to the particle size range of the discrete property parameters setting of this statistical nature item with sorted data flow.
Counter is used for carrying out corresponding data flow statistics according to described each statistics stream.The fundamental characteristics of statistical data packet, beginning and ending time for example, the bag number, byte number, or the like the webmaster and the characteristic of chargeing and needing.
The packet collector: be used for collecting and the management statistics result, the statistics that the statistics collection device is sent, or by the data in the certain strategy collection counter, the data that collection is next send to the data center of outside by certain form.
Need to prove that the characteristic of division item of flow classifier and the configuration of stream division device can be identical with the statistical nature item, also can be different, dispose definite voluntarily by the user.
The following describes the workflow of described data flux statistics device:
The data flow of coming from network is through a flow classifier, and flow classifier characteristic of division item according to the present invention is distinguished data flow, and these characteristic of division items can be disposed on demand by the user.Through the data flow that will obtain behind the data flow classification device really need chargeing and adding up, subsequent data stream will further be divided into each statistics stream according to user configured statistical nature item, the discrete attribute mark and the granularity of statistical nature item specifically can be set, divide device by stream and be split into real statistics stream with data flow is discrete, enter counter then and add up.Statistics is initiatively reported by counter or initiatively gathers acquisition by data acquisition unit according to setting strategy, at last the data that obtain is saved in database or mails to the statistics center and carry out network analysis or charging.
To sum up, the present invention can provide various statisticss flexibly, can be widely used in network management, network analysis, charge on traffic, content charging, not only is fit to backbone network, and individual line subscriber charges, and the data content that also is fit to terminal use and wireless user charges.For example if need know the data traffic situation of Transmission Control Protocol different port, then, isolate the data flow of Transmission Control Protocol, simultaneously the discrete attribute of configured port statistical nature item by the configuration flow grader, granularity is 1, then can count the data traffic situation of certain port of Transmission Control Protocol.If need the user who surfs the Internet is chargeed, then only need the configuration flow grader, the data stream separation of access the Internet is come out, the discrete attribute of source IP address is set then, just can obtain the data traffic of each subscriber to access Internet, and then can charge to the user according to flow.
Secondly, the present invention disposes conveniently, only needs the configuration item of minute quantity just can finish complicated customization statistical function, and is easy to use.For example discrete attribute and the 32 bitmask granularities that we only need source of configuration address ip and destination address IP are mentioned in the front, just can obtain the statistical information of each user capture various objectives IP, dispose very simple.
In addition, statistical efficiency height of the present invention, each statistics all be the user need do not have a redundant data, few to system resources consumption, of the present invention enable the performance impact of original system little.Therefore the present invention can extensively satisfy the various webmasters and the charging demand of telecommunications network, enterprise network, education network etc., and the scope of application is wide, remarkable benefit.
The above only is a preferred implementation of the present invention, does not constitute the qualification to protection range of the present invention.Any any modification of being done within the spirit and principles in the present invention, be equal to and replace and improvement etc., all should be included within the claim protection range of the present invention.
Claims (12)
1. a data flux statistics method is characterized in that, comprises step:
A. the default characteristic of division item that data stream is classified, sorted data flow is divided into the statistical nature item of statistics stream;
B. according to described characteristic of division item data stream is classified;
C. according to described statistical nature item described sorted data flow is divided into each statistics stream;
D. carry out corresponding data flow statistics according to described each statistics stream.
2. data flux statistics method according to claim 1, it is characterized in that, described statistical nature item comprises discrete property parameters, described discrete property parameters is defined as according to this statistical nature item data flow is divided into the particle size range that each statistics flows, and step C is divided into each statistics stream according to the particle size range of the discrete property parameters setting of this statistical nature item with sorted data flow.
3. data flux statistics method according to claim 1 is characterized in that, step D carries out data flux statistics and comprises:
The statistics stream beginning and ending time;
The bag number of statistics stream and the byte number of data flow;
The statistics stream cycle.
4. data flux statistics method according to claim 1 is characterized in that, also comprises collection of statistical data, and described statistics is presented at statistics equipment or outputs to data center.
5. according to each described data flux statistics method of claim 1-4, it is characterized in that described characteristic of division item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
6. data flux statistics method according to claim 5 is characterized in that, described statistical nature item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
7. a data flux statistics device is characterized in that, comprising:
Flow classifier disposes and is used for characteristic of division item that data stream is classified, be used for will be by the network equipment according to described characteristic of division item data flow classification for needing the data flow of statistics;
Stream is divided device, disposes the statistical nature item that is used for data flow is divided into statistics stream, is used for according to described statistical nature item described sorted data flow being divided into each statistics stream;
Counter is used for carrying out corresponding data flow statistics according to described each statistics stream.
8. data flux statistics device according to claim 7, it is characterized in that, described statistical nature item comprises discrete property parameters, described discrete property parameters is defined as according to this statistical nature item data flow is divided into the particle size range that each statistics flows, and described stream division device is divided into each statistics stream according to the particle size range of the discrete property parameters setting of this statistical nature item with sorted data flow.
9. data flux statistics device according to claim 7 is characterized in that, described counter carries out data flux statistics and comprises:
The statistics stream beginning and ending time;
The byte number of statistics stream bag number and data flow;
The statistics stream cycle.
10. data flux statistics device according to claim 7 is characterized in that, also comprises data acquisition unit, is used to gather statistics, and the statistics of gathering shown on statistics equipment or exports to data center.
11., it is characterized in that described characteristic of division item is according to each described data flux statistics device of claim 7-11:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
12. data flux statistics device according to claim 11 is characterized in that, described statistical nature item is:
Source, purpose virtual local area network No.; Source, destination address scope; Protocol type and range of port number; The autonomous system of Routing Protocol number; COS; Access interface; The combination in any of route next jump address or above characteristic item.
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| CN115473835A (en) * | 2022-08-05 | 2022-12-13 | 北京罗克维尔斯科技有限公司 | Flow statistical method and related equipment |
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| FR2790348B1 (en) * | 1999-02-26 | 2001-05-25 | Thierry Grenot | SYSTEM AND METHOD FOR MEASURING HANDOVER TIMES AND LOSS RATES IN HIGH-SPEED TELECOMMUNICATIONS NETWORKS |
| KR100570888B1 (en) * | 2002-10-02 | 2006-04-12 | 주식회사 케이티 | Method for providing service of monitoring internet traffic |
| CN100426732C (en) * | 2002-10-25 | 2008-10-15 | 华为技术有限公司 | Display method for all link service flow statistics on network |
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2004
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