CN102025733A - Health degree evaluation method based on cognitive network - Google Patents
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Abstract
The invention provides a health degree evaluation method based on a cognitive network, belonging to the technical field of network health assessment. In the method, by establishing a comprehensive fuzzy evaluation system which comprises a service evaluation module, a router evaluation module and a link evaluation module, the health degree value of a network is comprehensively obtained through the service evaluation module, the router evaluation module and the link evaluation module, and then the result is input into a strategy database for adjustment and optimization of the network. From the service perspective, the QoS (quality of service) performance of the cognitive network is comprehensively evaluated by combining a network element with a link so as to adjust the QoS of the network according to feedback, thus improving the self-adaptivity, self-management performance and end-to-end QoS performance of the cognitive network.
Description
Technical field:
The present invention relates to a kind of health degree evaluation method, belong to network health assessment technique field based on cognition network.
Background technology:
Present internet is a passive network that depends on manual intervention to a great extent: data exchange having between the fringe node of network intelligence.Backbone network also is indifferent to the particular content of the data that will transmit.In case transfer of data breaks down, fringe node can be distinguished and go wrong, but what backbone network can not decision problem be, more need not carry and having dealt with problems.In this case, the network manager need intervene network, determines failure cause.In most of the cases, the self-configuring solution of describing network failure with high-level language (as natural language) is impossible to the keeper, must recover network function by backbone network is carried out the equipment concrete configuration.The scholar of Virginia, US engineering college in 2005 clearly proposes cognition network definition first: cognition network is to have cognitive process, can perception current network condition, make planning, make a strategic decision and take the network that moves according to these conditions then.Cognition network must be from perception: should be able to know what has taken place in inside, and what must be done; Must determine that suitably action goes to reach target and study is done all these.It should be with the cognitive style self-configuration, self-optimization, self-regeneration and conduct protection.Therefore need need a complete appraisement system to cognition network, help himself to improve and optimize.
Integrated evaluating method to network performance mainly contains 3 kinds at present: 1) real network system operation conditions is observed, carried out analysis-by-synthesis and evaluation by the various parameters of collecting with corresponding relative index; 2) to the computer program description of real network system, the result who obtains by program running comes the simulation of phase-split network performance; 3) real network system is set up Mathematical Modeling, simulate and the evaluating network performance by a series of mathematical formulae.But these evaluation methods to network performance are more unilateral, are primarily aimed at certain a bit, or certain one side, can not be thorough deeply reflect the network real conditions, also be unsuitable for using cognition network.
In network performance evaluation, mainly use many indexs such as delay, packet loss, bandwidth and throughput that measured network is carried out performance evaluation.Though but this index system method can reflect the state of development of some things comprehensively, run into difficulty when between different things, comparing again.Because use in the time of each index, the situation of comparison takes place can't unify between the different indexs through regular meeting, thereby can not be to made the overall contrast on time and the space by evaluation object.Thereby cognition network is estimated more accurately.
Summary of the invention
Goal of the invention:
Technical problem to be solved of the present invention is the defective at the above-mentioned background technology, and a kind of health degree evaluation method based on cognition network is provided.From operational angle, the QoS performance of comprehensive network element and link thoroughly evaluating cognition network makes network service quality adjust by feedback, thereby improves the adaptivity of cognition network, from managerial and QoS performance end to end.
Technical scheme:
The present invention adopts following technical scheme for achieving the above object:
The present invention proposes a kind of health degree evaluation method based on cognition network, steps of the method are:
Step 1) is set up comprehensive fuzzy evaluation system, and described fuzzy evaluation system comprises professional evaluation module, router evaluation module, link evaluating module;
Step 2) collection active user's qos parameter, described qos parameter comprises packet loss, shake, time delay, and the qos parameter that collects is stored in the database;
Step 3) is obtained the SLA of corresponding service from database, SLA value and step 2 with the business of needs evaluations) the qos parameter value that collects incoming traffic evaluation module together, professional evaluation module carries out normalized parameter to input value to be handled, and calculates the health degree value of current business or the health degree value of the business of some periods;
The health degree value of the business that step 4) draws according to step 3) is calculated the irrelevance of itself and standard value, need to judge whether evaluation or change network state to improve professional QoS by irrelevance;
Step 5) then adopts the router evaluation module that router is estimated when finding that professional health degree is not up to standard, and evaluation procedure is:
A, choose 5 key parameters of router, be respectively time delay, shake, packet loss, throughput and buffer memory;
B, with method for normalizing above-mentioned parameter to be carried out unit unified;
C, the These parameters parameter is increased weighted value, compare the health degree value of router according to corresponding business;
Whether the health degree value of D, the router that draws according to C step judges this router health, adjusts and optimizes;
Step 6) adopts the parameter of link evaluating module collection that existing link circuit condition is made evaluation when the router evaluation module is estimated, estimates the health status of link by carrying degree and stability, and draws irrelevance;
Step 7) draws the health degree value of network by professional evaluation module, router evaluation module, link evaluating module synthesis, and with input policing storehouse as a result, and network is adjusted and optimized.
Further, the carrying degree draws by the ratio of calculating link utilization described in the step 6) of above-mentioned health degree evaluation method based on cognition network, and described stability draws by the changing value of packet loss and time delay.
QoS (Quality of Service) is a service quality, is a kind of security mechanism of network, is with a kind of technology that solves problems such as network delay and obstruction.Under normal circumstances,, do not need QoS, use, or E-mail is provided with etc. such as Web if network only is used for specific timeless application system.But it is just very necessary to key application and multimedia application.When network over loading or when congested, QoS can guarantee that the important service amount is not postponed or abandons, and guarantees the efficient operation of network simultaneously.
The abbreviation of SLA:Service-Level Agreement, the meaning are service-level agreements, are for ensureing the Performance And Reliability of service, the agreement of a kind of mutual concession that defines between service provider and user under certain expense.
Beneficial effect:
1, the characteristics (weight of each qos parameter) according to business self have drawn the health degree value.
2, the health degree value of be basic evaluation with business router and link is so that in time adjust network strategy.
3, by this complete appraisement system, improve cognition network from managerial and from controlled, guaranteed that more different user need not professional QoS.
Description of drawings:
Fig. 1 is the flow chart of health degree appraisement system.
Fig. 2 is professional health degree flow chart.
Fig. 3 is a network element health degree flow chart.
Fig. 4 is a link health degree flow chart.
Specific embodiments:
Be described in further detail below in conjunction with the enforcement of accompanying drawing technical scheme:
Cognition network is a kind of network schemer of rising in recent years, and he is different from legacy network, and its key character is self-perception, oneself's decision-making, oneself's control.The QoS that the present invention is conceived to cognition network uses service-oriented.Because the enforcement of QoS of survice relates to professional each management domain and apparatus for network node of being flowed through, therefore can pass through cognition module, behavior model will obtain the QoS data of each network element device, realize the flexible active management to the different isomerization network QoS, and the data of obtaining are estimated.The present invention is the center with the business, combines network element, and link and performance are end to end chosen representational parameter, set up the overall evaluation system of cognition network health degree, and reaction network provides the ability of service and overall performance of network for Business Stream.
As shown in Figure 1, business module is by the monitoring to business, collect time delay, shake, parameters such as packet loss, calculate health degree value and degree of balance value, and result of calculation is stored in the database, database root carries out some anticipations according to historical results, infer that the problem of network may be because what causes this moment, if the reason of router just starts router-module, calculate the health degree value of route, if instead be the just health degree value of the company's of calculating trousers of link module, say that its result of calculation is stored in database, and send into policy library simultaneously that network can find corresponding strategy to adjust network according to result of calculation.
1, sets up overall evaluation system
A: network element set
B: collection of services
C: end-to-end link set
H: health degree
All index system Ω, Ω=A ∩ B ∩ C,
Efficiency index system complete or collected works G is not that each index is all useful at different business in numerous system indexs, and we choose effective index for concrete condition so, remove those insignificant index elements
Represent that various performance index collection represent time delay, shake, packet loss, CPU usage, bandwidth availability ratio respectively;
A={A
1, A
2, A
3... A
n, wherein 1,2,3...n refers to n router in certain network domains;
B={B
1, B
2, B
3Video traffic, speech business, data service have been represented respectively.These three kinds of business are more representational business.
C=(C
1, C
2, C3...), represent the bar of the N end to end link in certain network domains;
H=represents health degree, and the health degree of the big more expression business more of the value of H is good more.
2, three concrete module evaluations
1) the professional evaluation
The traffic affecting parameter has a lot, and the present invention has chosen the index that time delay, shake, packet loss are estimated as business according to voice, data, these three kinds of sorting techniques of video.Compare by actual value and normal value, comprehensively draw different health degrees constantly these three dynamic indicators.
As shown in Figure 2, all carry out comparing,, at first handle making data in tolerance interval, avoid occurring negative value and zero its normalization by parameter because comparative result may exceed positive integer with the SLA value for certain professional each parameter.All qos parameter weighted of secondly comprehensive this business draw professional health degree value this moment.Add integration according to actual conditions again, draw the health degree value of period.The business of considering is taking resource, therefore not all parameter is high more good more under the situation that satisfies the SLA threshold values, needs the equilibrium index of computing service parameters, and exponential quantity is more little, illustrate that the degree of balance between every parameter that has satisfied the health degree value is more little, waste resource degree is big more.
2) network element evaluation
Select local area network (LAN) a: B={B1, B2, B3...Bn}, 1,2,3...n refers to n router in this local area network (LAN).Each router has evaluation index separately again, we to 5 indexs of n router
Time delay,
Shake,
Packet loss,
Throughput,
Buffer memory,
Do the matrix of a n*5;
As shown in Figure 3, each row represent in the network value Bn of a different router identical parameters (1＜n), each row is represented the value of same router different parameters.Bjj in the matrix can be the value in some moment, also can get the mean value of a minor time slice according to the frequency of measuring time of heartbeat mechanism for example.(1) formula is that (2) formula is the normalization that aligns property parameters to the normalization of negative property parameters.After parameter normalization, parameter weighting is heavily weighed.
Wherein
The maximum of certain index of expression router,
Represent corresponding minimum value, Aij is meant the target nominal value.
Therefore evaluation method of the present invention is to be the center with the business, at different business the various parameters of route is increased weights, thereby compares the health degree of certain business of running on which router.Make H (Ak) be router health degree nominal value at this moment,
Be the tolerance interval of this router index parameter, can set up on their own according to diverse network state and requirement.By to the determining of the deviate of each parameter of each router, add the weight of each straggling parameter, draw the router health degree of this moment.Draw the health degree value by each service feature parameter weighting,, carry out irrelevance and calculate, adjust the concrete situation of router according to the non-health degree that calculates for the discontented toe mark of single parameter to router.
3) link evaluating
As shown in Figure 4, after the health degree of having described router and business, a comprehensive end to end comprehensively evaluation be arranged, just need also make assessment the health degree of link to network; It is the bearing capacity of link that the present invention is divided into two first parts of part to link, and second portion is the stability of link.
The bearing capacity α of link, α (t)=1 represent t moment link busy, and α (t)=0 represents t link idle constantly, and α (x) is the x instantaneous utilance of link constantly, and in the time [t, t+ τ], the ratio that link is in busy condition is a link utilization.
The stability of link definition β, what stability should be by packet loss and time delay overall merit.
A parameter can not illustrate the stability of link, and we need know the situation of a time period [t, t+ τ], and in to [t, t+ τ], we say the value that at every turn measures
Be defined as
Then at the Measuring Time internal variance, the minimal time delay of every link is all different, increases the characteristic of minimal time delay with the reflection link.Get the stability of outgoing link again by changing value to packet loss and time delay, these two parameters have certain restriction relation each other, directly addition, therefore we retrain itself and adding, and guarantee that its value falls between [0,1], under the ideal state, when link did not have the variation of time delay not have packet loss yet, the value of β was 1.
With the stability of link and link bearer degree unite the health degree index of outgoing link.
Claims (2)
1. the health degree evaluation method based on cognition network is characterized in that: comprise the steps:
Step 1) is set up comprehensive fuzzy evaluation system, and described fuzzy evaluation system comprises professional evaluation module, router evaluation module, link evaluating module;
Step 2) collection active user's qos parameter, described qos parameter comprises packet loss, shake, time delay, and the qos parameter that collects is stored in the database;
Step 3) is obtained the SLA of corresponding service from database, SLA value and step 2 with the business of needs evaluations) the qos parameter value that collects incoming traffic evaluation module together, professional evaluation module carries out normalized parameter to input value to be handled, and calculates the health degree value of current business or the health degree value of the business of some periods;
The health degree value of the business that step 4) draws according to step 3) is calculated the irrelevance of itself and standard value, need to judge whether evaluation or change network state to improve professional QoS by irrelevance;
Step 5) then adopts the router evaluation module that router is estimated when finding that professional health degree is not up to standard, and evaluation procedure is:
A, choose 5 key parameters of router, be respectively time delay, shake, packet loss, throughput and buffer memory;
B, with method for normalizing above-mentioned parameter to be carried out unit unified;
C, the These parameters parameter is increased weighted value, compare the health degree value of router according to corresponding business;
Whether the health degree value of D, the router that draws according to C step judges this router health, adjusts and optimizes;
Step 6) is when the router evaluation module is estimated, and the parameter that adopts the link evaluating module to collect is made evaluation to existing link circuit condition, estimates the health status of link by carrying degree and stability, and draws irrelevance;
Step 7) draws the health degree value of network by professional evaluation module, router evaluation module, link evaluating module synthesis, and with input policing storehouse as a result, and network is adjusted and optimized.
2. according to the described health degree evaluation method based on cognition network of claim 1, it is characterized in that: the degree of carrying described in the step 6) draws by the ratio of calculating link utilization, and described stability draws by the changing value of packet loss and time delay.
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| CN102724193A (en) * | 2012-06-14 | 2012-10-10 | 西安交通大学 | Control method aiming at streaming service survivability in IP (Internet protocol) network environment |
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| CN103152218A (en) * | 2013-01-30 | 2013-06-12 | 北京奇虎科技有限公司 | Method and device for inspecting and restoring computer network state |
| CN103561085A (en) * | 2013-10-30 | 2014-02-05 | 南京邮电大学 | Service cloud evaluation method based on service level agreement constraint |
| CN103728974A (en) * | 2014-01-20 | 2014-04-16 | 北京航空航天大学 | Quality of Service (QoS) evaluation based dynamic network scheduling and control method, system and device |
| CN103763123A (en) * | 2013-12-26 | 2014-04-30 | 华为技术有限公司 | Method and device for evaluating health condition of network |
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