CN100579037C - Network flow simulation method and equipment, network flow test method and equipment - Google Patents
Network flow simulation method and equipment, network flow test method and equipment Download PDFInfo
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- CN100579037C CN100579037C CN200710104353A CN200710104353A CN100579037C CN 100579037 C CN100579037 C CN 100579037C CN 200710104353 A CN200710104353 A CN 200710104353A CN 200710104353 A CN200710104353 A CN 200710104353A CN 100579037 C CN100579037 C CN 100579037C
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/022—Capturing of monitoring data by sampling
Abstract
The disclosed network flow simulation method comprises: discrete sampling real network flow; fitting wave; and constructing the flow model according to former fitting result. This invention improves testing performance for NetStream and relative user satisfaction degree.
Description
Technical field
The present invention relates to the network test technical field, especially refer to a kind of network flow simulation method and equipment, network flow test method and equipment.
Background technology
At present, NetStream (network flow) Sampling techniques provide a lot of convenience to network management, and provide the method for " detail record " information of can visiting from data network for the network management personnel, wherein, NetStream is based on the set of one group of message, and the message among the NetStream has identical keyword.The NetStream data of output can have a variety of purposes, comprise that network management and planning, enterprise keep accounts and charging, ISP (Internet Service Provider, ISP) billing, the data reserve of subsector and the data acquisition that is used for commercial object.In the product development test, need comprehensively test the application power of NetStream, wherein, the precision and the flow waveform of stream sampling are followed the problem that the goodness of fit is user's major concern.
NetStream laboratory tests of the prior art, the discharge model that being based on various testers basically provides carries out, use one or more at random discharge model test.Fig. 1 is the schematic diagram of NetStream test in the prior art.As shown in Figure 1, tester provides discharge model, send to router, on router, enable NetStream sampling function, and the statistical information of NetStream regularly sent to NSC (NetStream Collector, Netstream Collector) for collection, after further handling by NSC, give NDA (NetStream Data Analyzer, network flow data analyzer) and carry out multiple application such as data analysis, charging, the network planning.And use more in the test of product is periodically linear speed discharge model test, this method of testing discharge model dullness, and the discharge model that uses in the product test is limited by the tenability of testing software; And, discharge model validity deficiency, the statistics waveform of real network flow does not obtain emulation preferably, can not determine the user satisfaction of real network flow through route NetStream sampling back waveform.
Summary of the invention
The problem that the embodiment of the invention will solve provides a kind of network flow emulation test method and equipment, to solve the discharge model dullness of product test in the prior art, and the validity deficiency, can not determine the problem of real network flow through the user satisfaction of router NetStream sampling back waveform.
For reaching above-mentioned purpose, the embodiment of the invention provides a kind of network flow simulation method, may further comprise the steps:
The real network flow is carried out discrete sampling;
Data to described discrete sampling are carried out the segmentation waveform fitting; The waveform of piecewise fitting is merged;
Segmentation waveform construction flow simulation model according to institute's match.
A kind of network flow simulation equipment is characterized in that, comprising:
The discrete sampling unit is used for the real network flow is carried out discrete sampling;
The waveform fitting unit is used for the data of described discrete sampling are carried out
SegmentationWaveform fitting;
The waveform merge cells is used for the waveform of piecewise fitting is merged;
The model construction unit is used for the segmentation waveform construction flow simulation model according to institute's match.
Compared with prior art, the discharge model of the embodiment of the invention is abundanter, thereby makes that the means of network flow simulation are also abundanter, and the not restriction of tested person software tenability of discharge model; The embodiment of the invention has more improved the validity and the professional user satisfaction of NetStream sampling of NetStream sampling test.
Description of drawings
Fig. 1 is the schematic diagram of NetStream test in the prior art;
Fig. 2 is the flow chart of a kind of network flow simulation method of the embodiment of the invention;
Fig. 3 is the waveform schematic diagram of embodiment of the invention real network flow;
Fig. 4 is the embodiment of the invention is carried out discrete sampling to the real network flow a schematic diagram;
Fig. 5 is the embodiment of the invention is carried out match to discrete waveform a schematic diagram;
Fig. 6 is the network flow simulation flow chart of the embodiment of the invention one;
Fig. 7 is the network flow simulation flow chart of the embodiment of the invention two;
Fig. 8 is the flow chart of a kind of network flow test method of the embodiment of the invention;
Fig. 9 is the schematic diagram of a kind of network flow simulation equipment of the embodiment of the invention;
Figure 10 is the schematic diagram of a kind of network traffics testing equipment of the embodiment of the invention.
Embodiment
Be elaborated below in conjunction with the drawings and specific embodiments.
Fig. 2 is the flow chart of a kind of network flow simulation method of the embodiment of the invention, and as shown in Figure 2, the embodiment of the invention provides a kind of model emulation method based on the real network flow, may further comprise the steps:
Step 201 is carried out discrete sampling to the real network flow.From the oscillogram of real network flow, the waveform of choosing certain cycle is the object of discrete sampling.Fig. 3 is the waveform schematic diagram of embodiment of the invention real network flow, and flow waveform shown in Figure 3 is more common real network flow waveform figure, and at the Inbound of interface, the flow waveform of regarding as that can be similar to is to be one-period with 24 hours.Choose the waveform in one of them cycle, and this waveform is carried out the discretization of time shaft, as shown in Figure 4, Fig. 4 carries out discrete sampling for the embodiment of the invention to the real network flow schematic diagram.Waveform is being carried out in the process of discretization, the selection of sample frequency is a very important link, and sample frequency is high more, and is good more to the simulated effect of real network flow.Consider the network equipment such as router refreshes a port mostly about 5 minutes traffic statistics, therefore in test emulation, also adopting 5 minutes usually is an emulation sampling period.More high-precision if desired simulated effect then can reduce the emulation sampling period, still, need take into account the tenability and the switching time of tester to the selection of sample frequency.Can be faster at the tester corresponding speed, test emulation requires can reduce the emulation sampling period under the higher situation, also promptly improves sample frequency.
In addition, owing in actual application, the real network flow is had monitoring, therefore can directly from the monitoring statistics of real network flow, extract the data of corresponding time period and disperse, the discrete data sequence is imported tester, and generate corresponding oscillogram in view of the above.
Step 202 is carried out waveform fitting to the discrete sampling data.In step 201, the real network flow is carried out discrete sampling, what obtain is the discrete sampling point of real network waveform, need carry out waveform fitting to those discrete sampling points.Fig. 5 is the embodiment of the invention is carried out match to discrete waveform a schematic diagram, as shown in Figure 5, embodiments of the invention adopt the discrete method of back to first-order difference, the discrete sampling point is carried out waveform fitting, the selection of discrete method need be considered the work of treatment amount of tester or simulation software, if in the work of treatment amount tolerance range of tester or simulation software, higher precision needs are arranged, then can adopt the more discrete method of high-order.
Step 203 is according to the waveform construction emulation discharge model of institute's match.According to the figure after the match, structure tester transmitted traffic speed is selected transmission with the flow in the fixing unit interval section by the command interface that tester provides.For example, 5 minutes once sampling in step 201, then the user is writing TCL (ToolCommand Language, Tool Command Language) during script, the flow that tester sends a certain centrifugal pump size is set, continues 5 minutes, once change then, be replaced by the flow of next centrifugal pump, continue 5 minutes, thereby obtain an approximate real network flow waveform emulation.
In the output simulation waveform, need carry out record to the simulation waveform of output, then the simulation waveform of output and the waveform of real network flow are compared, obtain the deviation data of simulation waveform and real network flow waveform, thereby effectively assess the user satisfaction of NetStream sampling according to this deviation data.
Flow emulation with sine wave is example, if the real network flow can abstractly be a sinusoidal waveform, flow is F, and amplitude is A, and minimum discharge is B0, and wave period is T, and the time is t, and the waveform displacement is t0, and following wave function is then arranged:
F(t)＝B0+A*sin[2π/T*(t0+t)]
Suppose B0=0.5 (Gbps), A=2.0 (Gbps), t0=0, T=24 hour=1440 minutes.Comparatively accurate method is earlier wave function to be carried out first-order difference, tries to achieve the value of each discrete point then.Directly use the functional value of difference moment point to carry out waveform fitting herein, the sampling time is chosen for 5 minutes once, and sampling is 288 times in the one-period, and with respect to T=1440 minute, this sample rate can be similar to recovered the actual waveform figure.
Like this, sinusoidal flow waveform figure just is separated into a sequence of 5 minutes at interval:
F(t)＝＞F{F0?F1...F286?F287}
F(x)＝0.5+2.0*sin(2π*5*x/1440)
F(t)＝F0(0≤t＜5)
F1(5≤t＜10)
…
F287(1435≤t＜1440)
Behind the discrete series that obtains this sine flow waveform, can carry out the flow set of tester according to this discrete series, the script that needs the technical staff to carry out tester is write.By the TCL script flow that tester sends a certain centrifugal pump size is set, continues 5 minutes, also be the sampling time, once change then, be replaced by flow, thereby obtain an approximate real network flow waveform emulation into next centrifugal pump.
For as above-mentioned embodiment in better simply real network flows such as sinusoidal waveform, when carrying out flow emulation, can directly from waveform library, call corresponding wave function and the discrete waveform figure carries out emulation.So, just need set up a waveform library that stores the information such as discrete waveform figure of common wave shape function and correspondence.Common waveform comprises: sine wave, square wave, triangular wave, pseudorandom waveform and the true waveform of real network etc.But and the modification of the wave function support parameter in this waveform library, to meet the needs of various practical application.
Wherein, sinusoidal waveform has amplitude, cycle, emulation sample frequency to the relevant parameter of emulation, perhaps emulation sampling period etc.Amplitude is benchmark usually with the interface bandwidth, and the cycle reference value was a benchmark with 24 hours usually, and the emulation sampling period adopted 5 minutes usually.Certainly, under the higher situation of required precision, also can adopt strict more parameter setting.
Square-wave waveform has amplitude, cycle, emulation sample frequency to the relevant parameter of emulation, perhaps sampling period etc.Amplitude is benchmark usually with the interface bandwidth, and the cycle reference value was a benchmark with 24 hours usually, and the emulation sampling period adopted 5 minutes usually.Certainly, under the higher situation of required precision, also can adopt strict more parameter setting.Square wave can reach simulated effect preferably, and the gradient can slow down when the saltus step of last lower edge.
Triangular waveform is climbed slope, descending slope, minimum value, ramp-up period time, time decline stage etc. to the relevant parameter of emulation.The emulation sampling period adopted 5 minutes usually.Certainly, under the higher situation of required precision, also can adopt strict more parameter setting.
The pseudorandom waveform for the convenience of The Realization of Simulation, adopts a reference data flow, in each emulation sampling period, adds disturbance at random.The stack of sampling of standard flow waveform and disturbance waveform, structure flow.Standard flow is selected sinusoidal waveform usually, perhaps square-wave waveform, and the disturbance flow adopts sinusoidal waveform usually.
The true waveform of real network can directly use real network traffic monitoring oscillogram to carry out emulation, uses the True Data that obtains in the real network traffic monitoring, carries out the structure of flow, and the emulation sampling period adopted 5 minutes usually.Certainly, under the higher situation of required precision, also can adopt strict more parameter setting.
In actual application, most cases, the waveform of real network flow is irregular, more complicated.Therefore, for irregular, complicated wave form, can carry out segmentation emulation.Waveform in each time period can superpose with the wave function that provides in the waveform library.For example, in a period of time, suppose that flow waveform can be represented by function F+G, F, G centrifugal pump in each comfortable certain sampling time tn cycle is F (tn), G (tn), and the waveform parameter of emulation this moment is F (tn)+G (tn) just.More complicated waveform equally also can obtain with such method, and more function more promptly superposes.
The discharge model of above embodiment is abundanter, thereby makes that the means of network flow simulation are also abundanter, can reach the better simulated effect of real network flow.
Fig. 6 is the network flow simulation flow chart of the embodiment of the invention one.As shown in Figure 6, carrying out method of emulation for the real network flow of complicated wave form may further comprise the steps:
In the foregoing description, the discrete sampling data are carried out the segmentation waveform fitting, solved complicated existing network flow is carried out the problem of emulation, thereby reached simulated effect preferably.
In some specific occasions, need carry out emulation to specific flow, and this specific flow there is not promptly waveform to describe, also difficult the stack by the waveform in the waveform library obtains.Then the user can be provided with specific waveform as required, is to draw out specific waveform by paintbrush in the embodiments of the invention, and adopts said method that this specific waveform is dispersed, and constructs the simulation waveform to this specific waveforms.Fig. 7 is the network flow simulation flow chart of the embodiment of the invention two.As shown in Figure 7, the particular flow rate method of emulation be may further comprise the steps:
Step 704 is according to the waveform construction discharge model of institute's match.According to the figure after the match, structure tester transmitted traffic speed is selected transmission with the flow in the fixing unit interval section by the command interface that tester provides.
In the foregoing description,, draw function by paintbrush and draw the particular flow rate waveform, and this particular flow rate waveform is carried out emulation, make that the structure of discharge model is abundanter according to requirement of special occasion, convenient, thus the needs of adaptation particular job occasion.
More than be embodiment according to real network flow structure flow simulation model, the command interface that this emulation discharge model provides by tester, with certain speed transmitted traffic to network equipments such as routers, on the network equipment, enable NetStream sampling function, and the statistical information of NetStream regularly sent to Netstream Collector for collection, after the further processing of Netstream Collector, give the network flow data analyzer and carry out multiple application such as data analysis, charging, the network planning.
As shown in Figure 8, Fig. 8 is the flow chart of a kind of network flow test method of the embodiment of the invention, may further comprise the steps:
Step 802 according to the output waveform of transmitted traffic speed constructive simulation model, and compares this output waveform and real network flow waveform, obtains the waveform deviation data.At the output of tester, according to the output waveform of transmitted traffic speed constructive simulation model, and this output waveform and real network flow waveform compared, obtain the waveform deviation data.Then, can judge the user satisfaction of network traffics test according to the waveform deviation data that obtains.
The method of testing of the foregoing description compares the output waveform and the real network flow waveform of simulation model, thereby can judge the user satisfaction of NetStream test according to this.
Embodiments of the invention also provide a kind of network flow simulation equipment, as shown in Figure 9, comprising: discrete sampling unit 100, waveform fitting unit 200, model construction unit 300.
Wherein, discrete sampling unit 100 is used for the real network flow is carried out discrete sampling.From the oscillogram of real network flow, choose the waveform in one of them cycle, and this waveform is carried out the discretization of time shaft.In addition, because in actual application, the real network flow is had monitoring, therefore can directly from the monitoring statistics of real network flow, extract the discrete data of correspondence time period, the traffic monitoring data directly as the data of discrete sampling.
Waveform fitting unit 200 connects discrete sampling unit 100, is used for the discrete sampling data are carried out waveform fitting.Adopt the discrete method of back, the sampled data of discrete sampling unit 100 is carried out waveform fitting, certainly,, then can adopt the more discrete method of high-order if higher precision needs are arranged to first-order difference.
Model construction unit 300 connects waveform fitting unit 200, is used for the waveform construction flow simulation model according to institute's match.
Waveform fitting unit 200 comprises: waveform storing sub-units 201, waveform stack subelement 202 and waveform segments subelement 203.Waveform storing sub-units 201 is used for stored waveform figure and corresponding wave function.Waveform stack subelement 202 connects waveform storing sub-units 201, is used for the waveform of waveform storing sub-units 201 is superposeed, and obtains the simulation waveform of real network flow.Further, the waveform fitting unit further comprises waveform segments subelement 203, connect waveform stack subelement 202, be used for irregular, complicated real network flow waveform is carried out segmentation, and then obtain the simulation waveform of each segmentation by waveform stack subelement 202 by the waveform stack.
Another embodiment of the present invention has been set up waveform unit 400 has been set on the basis of said units, connect discrete sampling unit 100, is used to be provided with the particular flow rate waveform.In embodiments of the present invention, be according to specific needs, draw out specific waveform by paintbrush, and the waveform that will draw sends to discrete sampling unit 100 and carries out discrete sampling.
Embodiments of the invention also provide a kind of network traffics testing equipment, as shown in figure 10, comprising: flow transmitting element 101, output waveform structural unit 102 and waveform comparing unit 103.Wherein, flow transmitting element 101 is used for the simulation model according to the real network flow, structure transmitted traffic speed, and fixed point sends; Output waveform structural unit 102, connection traffic transmitting element 101 is used for the output waveform according to transmitted traffic speed constructive simulation model; Waveform comparing unit 103 connects output waveform structural unit 102, is used for output waveform and described real network flow waveform are compared, and obtains the waveform deviation data.Then, can judge the user satisfaction of network traffics test according to the waveform deviation data that obtains.
Embodiments of the invention are applicable to the diverse network flow, comprise: IPv4/IPv6, clean culture/multicast, IP/MPLS (Multi Protocol Label Switching, multiprotocol label switching), ATM (Asynchronous Transfer Mode, asynchronous transfer mode) etc.The emulation mode of the embodiment of the invention comprises bandwidth emulation and pps (packet per second, packet rate) emulation, so-called bandwidth emulation is promptly carried out emulation with the bits speed of statistics, so-called pps emulation, promptly the packet rate with statistics carries out emulation, and the implementation method of two kinds of emulation modes all is aforesaid implementation method.And the method for testing of the embodiment of the invention is not only applicable to the NetStream emulation testing of product, is applicable to the emulation testing of normal converting flow yet.The software of embodiment of the invention correspondence can be stored in the storage medium of an embodied on computer readable.
In sum, the embodiments of the invention discharge model is abundanter, thereby makes that the means of network flow simulation are also abundanter, and the not restriction of tested person software tenability of discharge model; The embodiment of the invention has more improved the validity and the professional user satisfaction of NetStream sampling of NetStream sampling test.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (10)
1, a kind of network flow simulation method is characterized in that, may further comprise the steps:
The real network flow is carried out discrete sampling;
Data to described discrete sampling are carried out the segmentation waveform fitting;
The waveform of piecewise fitting is merged;
Segmentation waveform construction flow simulation model according to institute's match.
2, network flow simulation method according to claim 1 is characterized in that, described the real network flow is carried out discrete sampling, comprising: choose the periodic waveform of described real network flow, and described periodic waveform is carried out the discrete sampling of time shaft.
3, network flow simulation method according to claim 1 is characterized in that, the discrete sampling data are carried out waveform fitting, comprising: according to described discrete sampling data, the stack of the wave function in the waveform library is obtained the match waveform.
4, network flow simulation method according to claim 1 is characterized in that described data to described discrete sampling are carried out the segmentation waveform fitting, and the waveform of piecewise fitting is merged, and comprising:
Described discrete sampling data are carried out segmentation;
According to the discrete sampling data of each segmentation,, obtain the match waveform of each segmentation with the stack of the wave function in the waveform library;
The match waveform of described each segmentation is merged.
5, network flow simulation method according to claim 1, it is characterized in that, described the real network flow is carried out also comprising before the discrete sampling: the real network flow waveform is set, and to select the real network flow waveform of described setting be the object of discrete sampling.
6, network flow simulation method according to claim 1 is characterized in that described segmentation waveform construction flow simulation model according to institute's match comprises:
Segmentation waveform construction transmitted traffic speed according to described match;
Flow in the fixing unit interval section is fixed a point to send;
Construct the output waveform of described simulation model according to described transmitted traffic speed, and described output waveform and described real network flow waveform are compared, obtain the waveform deviation data.
7, a kind of network flow simulation equipment is characterized in that, comprising:
The discrete sampling unit is used for the real network flow is carried out discrete sampling;
The waveform fitting unit is used for the data of described discrete sampling are carried out the segmentation waveform fitting;
The waveform merge cells is used for the waveform of piecewise fitting is merged;
The model construction unit is used for the segmentation waveform construction flow simulation model according to institute's match.
8, as network flow simulation equipment as described in the claim 7, it is characterized in that described waveform fitting unit comprises: waveform storing sub-units and waveform stack subelement,
Described waveform storing sub-units is used for stored waveform figure and corresponding wave function;
Described waveform stack subelement is used for the waveform of described waveform storing sub-units is superposeed, and obtains the match waveform of described discrete sampling data.
9, as network flow simulation equipment as described in the claim 7, it is characterized in that described network flow simulation equipment comprises that also waveform is provided with the unit, connect described discrete sampling unit, be used to be provided with the particular flow rate waveform.
10, as network flow simulation equipment as described in the claim 7, it is characterized in that described model construction unit comprises:
The flow transmitting element, be used for according to the waveform construction transmitted traffic speed of described match and fixedly the flow in the unit interval section fix a point to send;
The output waveform structural unit is used for constructing according to described transmitted traffic speed the output waveform of described simulation model, and described output waveform and described real network flow waveform are compared, and obtains the waveform deviation data.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200710104353A CN100579037C (en) | 2007-05-09 | 2007-05-09 | Network flow simulation method and equipment, network flow test method and equipment |
| PCT/CN2008/070784 WO2008138247A1 (en) | 2007-05-09 | 2008-04-23 | Network traffic emulation method and device, network traffic testing method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN200710104353A CN100579037C (en) | 2007-05-09 | 2007-05-09 | Network flow simulation method and equipment, network flow test method and equipment |
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| CN100579037C true CN100579037C (en) | 2010-01-06 |
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| CN100579037C (en) * | 2007-05-09 | 2010-01-06 | 华为技术有限公司 | Network flow simulation method and equipment, network flow test method and equipment |
| CN102104503B (en) * | 2009-12-21 | 2013-04-17 | 中国移动通信集团设计院有限公司 | Transmission flow simulating method and equipment for network |
| CN102130797B (en) * | 2011-03-17 | 2013-10-02 | 国家广播电影电视总局广播科学研究院 | Network testing method and device |
| US9706414B2 (en) | 2013-12-12 | 2017-07-11 | Huawei Technologies Co., Ltd. | Method and apparatus for determining data flow rate on service access port |
| CN104014076B (en) * | 2014-04-21 | 2016-02-24 | 广州三瑞医疗器械有限公司 | A kind of analgesia Wave form detector and method thereof |
| CN105376099B (en) * | 2015-12-02 | 2019-01-01 | 盛科网络（苏州）有限公司 | Acquire the method and system of virtual network flow in data switching exchane |
| CN109921947B (en) * | 2019-03-26 | 2022-02-11 | 东软集团股份有限公司 | Network flow simulation method, device, equipment and network equipment test system |
| CN111835541B (en) * | 2019-04-18 | 2021-10-22 | 华为技术有限公司 | Method, device, equipment and system for detecting aging of flow identification model |
| CN112866036B (en) * | 2021-02-24 | 2022-03-01 | 鹏城实验室 | Network flow simulation method and system of cloud computing platform and computer storage medium |
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| CN1888992A (en) * | 2006-07-25 | 2007-01-03 | 王敏 | Variable separation orthometric subalgebric curve composition difference interpolating digital processing method |
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| US5774497A (en) * | 1996-04-12 | 1998-06-30 | Hewlett-Packard Co | Method and apparatus for PCR jitter measurement in an MPEG-2 transport stream |
| CN100486182C (en) * | 2002-12-28 | 2009-05-06 | 鸿富锦精密工业（深圳）有限公司 | Network test equipment, system and method |
| CN100454026C (en) * | 2005-07-28 | 2009-01-21 | 泰州苏源集团科电有限公司 | Cycle sampling method in quality of power supply in electrical network |
| CN100579037C (en) * | 2007-05-09 | 2010-01-06 | 华为技术有限公司 | Network flow simulation method and equipment, network flow test method and equipment |
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| CN1888992A (en) * | 2006-07-25 | 2007-01-03 | 王敏 | Variable separation orthometric subalgebric curve composition difference interpolating digital processing method |
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| WO2008138247A1 (en) | 2008-11-20 |
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