CN1549527A - Method for realizing automatic control data flow under the state of overloading - Google Patents
Method for realizing automatic control data flow under the state of overloading Download PDFInfo
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- CN1549527A CN1549527A CNA031310397A CN03131039A CN1549527A CN 1549527 A CN1549527 A CN 1549527A CN A031310397 A CNA031310397 A CN A031310397A CN 03131039 A CN03131039 A CN 03131039A CN 1549527 A CN1549527 A CN 1549527A
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Abstract
The method includes the following steps: A) estimation factor (EF) is confirmed for each network element (NE), overload data flow variation volume (ODFVV) for each NE currently is estimated according to confirmed EF; B) ODFVV obtained in step A) for each NE is reported to management entity (ME) which the NE belongs to, ODFVV for each type of NE under the management of each ME is estimated; C) integral estimation is carried out for all ME according to ODFVV estimated out by each ME in step B) to obtain ODFVV of the complete system; D) data flow retransmitted to protected NE is controlled according to current overload estimation result obtained in step C) for the complete system.
Description
Technical field
The present invention relates to the overloading control technology, be meant especially and realize the data traffic method of control automatically under a kind of overload state.
Background technology
Intelligent network is the complementary network architecture that one deck that field of telecommunications is provided with on original communication network basis could generate and realize various new business and service, and the basic composition of intelligent network comprises: Service Control Point, service data point (SDP), service creation environment (SCE), service management environment (SMS), Service Switching Point.Wherein, service control point--service data point (SCP-SDP) is the professional system platform of carrying out of explaining in the intelligent network; be the platform software of real time execution in the intelligent network product, it is a kind of necessary self-protective mechanism that the SCP-SDP system platform is carried out the overladen automatic control of data traffic according to the miscellaneous service situation.
Overload scheme in the existing intelligent network, it mainly is " activating service filtration " the overload technical scheme that adopts in the intelligent network application standard agreement, this overloading control is a kind of overload scheme of service level, be to trigger by the Service Control Function among the SCP, dock the filter operation of the breath of collecting mail, this overloading control scheme does not detect the load condition of SDP separately.
Along with the intelligent network application and development, networking mode and internal system formation become increasingly complex.For example: under the independent SDP mode that SCP and SDP are separated, SCP connects a plurality of SDP, or a plurality of SCP connects the situation of a SDP.Fig. 1 is the SCP-SDP system configuration schematic diagram that SCP and SDP are separated, and as Fig. 1, adopts the networking of independent SDP mode, contains three SDP and three SCP.Because all multifactor influences such as machines configurations, database performance, business datum amount, network speed; either party may unilaterally reach overload SCP, SDP, therefore adopt existing intelligent network overload scheme can't protection system in each parts under the safe load amount, move simultaneously.Suppose the only one-sided overload of SDP1 in the network element shown in Figure 1, because SCP is still in load range, can continue to insert a large amount of new callings, cause the load of SDP1 to descend, finally cause the serious excess load of SDP1, and then cause phenomenons such as the SDP1 database manipulation is overtime, call interruption, charging is unusual, card number is hung.
Summary of the invention
In view of this, main purpose of the present invention is to provide under a kind of overload state and realizes the data traffic method of control automatically, makes it can be under comparatively complicated networking mode, and each network element in the protection system moves under the safe load amount.
Realize the present invention, need following steps:
A, each network element are determined assessment factor separately, and according to the current separately overload data traffic variable quantity of determined assessment factor assessment, as, with average time of network element processing messages receive the data stacking situation of buffering area or its combination as assessment factor;
Judge that current overload situation increases the weight of or alleviates, if increase the weight of, then the data traffic variable quantity that filters of each network element is the data traffic variable quantity summation of each assessment factor assessment result; If alleviate, then the data traffic decrement of each network element filtration is the data traffic variable quantity summation of each assessment factor assessment result.
B, the overladen data traffic variable quantity of each network element of steps A assessment is reported management entity under this network element, the overload data traffic variable quantity of every class network element that each management entity assessment is managed;
When if the arbitrary network element overload situation in the class network element of current assessment increases the weight of, then the management entity under it starts overladen increasing the weight of, and the data traffic increment that management entity filters is the maximum of the data traffic increment of each network element filtration;
When if all the network element overload situations in the same class alleviate, then management entity starts overladen recovery under it, and the data traffic decrement that management entity filters is the minimum value of the data traffic decrement of each network element filtration.
C, according to the overload data traffic variable quantity that each management entity among the step B is assessed out, all management entities are carried out total evaluation, obtain the overload data traffic variable quantity of whole system;
If when current any management entity overload situation increases the weight of, then start overladen increasing the weight of on the whole, the data traffic increment of Guo Lving is the maximum of the data traffic increment of each management entity filtration on the whole;
If when current cura generalis entity overload situation alleviates, then start overladen recovery on the whole, the data traffic decrement of Guo Lving is the minimum value of the data traffic decrement of each management entity filtration on the whole.
D, according to the current overload assessment result of whole system that step C obtains, control is forwarded to the data traffic of protected network element.
Control the overload data traffic variable quantity that the current variable quantity that is forwarded to the data traffic of protected network element is not more than the whole system that step C obtained.
By said method as can be seen; the overloading control scheme that the present invention proposes forms whole load evaluation result based on the comprehensive assessment to each network element load, from the angle of integral body control; each network element moves under the safe load amount in the protection system, to adapt to the networking structure of intelligent network complexity.The result that the present invention adopts comprehensive assessment to go out can make the fluctuation of overloading control steady, avoids uprushing or the formed load surge of anticlimax because of load.
Description of drawings
Fig. 1 is the SCP-SDP system configuration schematic diagram that SCP and SDP are separated.
Fig. 2 is a load controlling models schematic diagram.
Fig. 3 is the flow chart that the present invention controls data traffic under the overload state.
Fig. 4 is load factor and the curvilinear function figure that increases the data traffic of filtering.
Fig. 5 is load factor and the curvilinear function figure that increases the data recovered flow.
Embodiment
Fig. 2 is load controlling models schematic diagram, and as shown in Figure 2, external entity sends the data in the process of data processing entities, by the overloading control entity these data traffics is controlled, and comes the protected data processing entities.In the data traffic flow control procedure; what the overloading control entity was regular is that the load condition of data processing entities is assessed to protected entity; extrapolate the variable quantity of current data traffic then according to assessment result, promptly should transmit what data and give data processing entities.
Be controlled to be example in the intelligent network SCP, SDP data processing entities are carried out data traffic below, in the present embodiment, external entity is SAU, and the overloading control entity is SCP and SDP management entity, and data processing entities is each SDP, SCF network element.
Fig. 1 is the SCP-SDP system configuration schematic diagram that SCP and SDP are separated.By the overload situation of each network element of analysis-by-synthesis SCP-SDP, the flow recruitment that control Signaling Access Unit (SAU) sends.Further as example, simultaneously with reference to Fig. 4, Fig. 5, the present invention is described in more detail.As shown in Figure 3, among the present invention under the control overload state method of data traffic may further comprise the steps:
Step 301: calculating the overladen separately data traffic variable quantity of each network element, in the present embodiment, is exactly to calculate the overladen separately data traffic variable quantity of SDP1, SDP2, SDP3, SCF1, SCF2, SCF3 respectively.For the overload situation of each network element, can adopt assessment factor fc1, fc2 to carry out load evaluation.Wherein, fc1 is the average time of each network element processing messages; Fc2 is the data stacking situation that each network element message receives buffering area.Certainly, assessment factor is not limited only to these two kinds, also can comprise fc3, fc4... or the like, generally selects according to actual conditions.
After determining assessment factor, can adopt suitable assessment factor function, calculate the overload data traffic variable quantity of network element separately.With SDP1 is example, can adopt corresponding function according to the variation of overload situation:
When a. having served as load condition and increasing the weight of, can by formula calculate the current data traffic variable quantity that filters of needing of SDP1 shown in (1), i.e. increment:
OverloadCountBySDP1＝g(fc1)+h(fc2) (1)
Wherein, g (fc1) and h (fc2) are the functions of being determined by real needs.As: can use the function that meets Fig. 4 curve correspondence, the overload data traffic fluctuation when overload increases the weight of of this function is steady.
When b. having served as load condition and alleviating, in like manner, can by formula calculate the current data traffic variable quantity that needs to filter of SDP1 shown in (2) is decrement, also we can say negative increment:
RestoreCountBySDP1＝m(fc1)+n(fc2) (2)
Wherein, m (fc1) and n (fc2) are the functions of being decided by concrete demand.As: can adopt the function that meets Fig. 5 curve correspondence.
In like manner, can draw the relevant overladen data traffic function of other each network element.Each network element can adopt identical function, also can adopt different functions, is decided by concrete demand.And this function can only be considered a certain factor, also can take all factors into consideration several or all factors.
Step 302: the overladen data traffic variable quantity of each network element is reported management entity under this network element, and each management entity calculates the overladen data traffic variable quantity of all kinds of network elements.In the present embodiment, the SDP management entity under SDP1, SDP2, SDP3 report; SCP management entity under SCF1, SCF2, SCF3 report, SDP management entity and SCP management entity carry out load evaluation once more, obtain the overladen data traffic variable quantity of SDP class and SCP class network element respectively.The overload assessment of described SDP management entity can be taked following algorithm:
When a. increasing the weight of as if the arbitrary network element overload of SDP situation, then the SDP management entity starts overladen increasing the weight of, and the data traffic variable quantity that the SDP management entity filters is that increment is:
OverloadCountBySDP＝Max(OverloadCountBySDP1，OverloadCountBySDP2，OverloadCountBySDP3)；
When b. alleviating as if all network element overload situations of SDP, then the SDP management entity starts overladen recovery, and the data traffic variable quantity that the SDP management entity filters is that decrement is:
RestoreCountBySDP＝Min(RestoreCountBySDP1，RestoreCountBySDP2，RestoreCountBySDP3)。
In like manner, can obtain the overload assessment result of SCP management entity.
Step 303: the load result that all kinds of management entities will calculate separately, carry out calculating on the whole once more, obtain the overload data traffic variable quantity of whole system.Can take following algorithm:
A. if current any management entity is in overload and increases the weight of state, then start overladen increasing the weight of on the whole system, the data traffic variable quantity that filters on the whole system is that increment is:
OverloadCountByALL＝Max(OverloadCountBySCF，OverloadCountBySDF)；
B. if current cura generalis entity is in overload and alleviates state, then start overladen recovery on the whole system, the data traffic variable quantity that filters on the whole system is that decrement is:
RestoreCountByALL＝Min(RestoreCountBySCF，RestoreCountBySDF)。
Step 304: according to the whole system overload variable quantity assessment result that step 303 obtains, the SAU call information is filtered, control is forwarded to the data traffic of protected network element.
Said process be with SCP1～SCP3 and SDP1～SDP3 as test point, for more complicated intelligent net system, Bao Hu entity can be provided with a plurality of test points and detect as required, comprehensively its each assessment result control of loading.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1, realize the data traffic method of control automatically under a kind of overload state, be applicable in the intelligent network, it is characterized in that may further comprise the steps:
A, each network element are determined assessment factor separately, and according to the current separately overload data traffic variable quantity of determined assessment factor assessment;
B, the overladen data traffic variable quantity of each network element of steps A assessment is reported management entity under this network element, the overload data traffic variable quantity of every class network element that each management entity assessment is managed;
C, according to the overload data traffic variable quantity that each management entity among the step B is assessed out, all management entities are carried out total evaluation, obtain the overload data traffic variable quantity of whole system;
D, according to the current overload assessment result of whole system that step C obtains, control is forwarded to the data traffic of protected network element.
2, method according to claim 1 is characterized in that: described steps A is according to the average time of network element processing messages the overload data traffic variable quantity of each network element being assessed.
3, method according to claim 1 is characterized in that: described steps A is according to the data stacking situation that receives buffering area the overload data traffic variable quantity of each network element to be assessed.
4, method according to claim 1 is characterized in that: described steps A is according to the data stacking situation of the average time of network element processing messages and reception buffering area the overload data traffic variable quantity of each network element to be assessed.
5, method according to claim 4 is characterized in that each network element overload data traffic variable quantity of the described assessment of steps A further comprises:
Judge that current overload situation increases the weight of or alleviates, if increase the weight of, then the data traffic variable quantity that filters of each network element is the data traffic variable quantity summation of each assessment factor assessment result; If alleviate, then the data traffic decrement of each network element filtration is the data traffic variable quantity summation of each assessment factor assessment result.
6, method according to claim 1 is characterized in that described each management entity of step B assesses the overload data traffic variable quantity of every class network element and further comprise:
When if the arbitrary network element overload situation in the class network element of current assessment increases the weight of, then the management entity under it starts overladen increasing the weight of, and the data traffic variable quantity that management entity filters is an increment, is the maximum of the data traffic increment of each network element filtration;
When if all the network element overload situations in the same class alleviate, then management entity starts overladen recovery under it, and the data traffic variable quantity that management entity filters is a decrement, is the minimum value of the data traffic decrement of each network element filtration.
7, method according to claim 1 is characterized in that the described total evaluation of step C further comprises:
If when current any management entity overload situation increases the weight of, then start overladen increasing the weight of on the whole, the data traffic variable quantity of Guo Lving is an increment on the whole, is the maximum of the data traffic increment of each management entity filtration;
If when current cura generalis entity overload situation alleviates, then start overladen recovery on the whole, the data traffic variable quantity of Guo Lving is a decrement on the whole, is the minimum value of the data traffic decrement of each management entity filtration.
8, method according to claim 1 is characterized in that the data traffic that the described control of step D is forwarded to protected network element is: control the overload data traffic variable quantity that the current variable quantity that is forwarded to the data traffic of protected network element is not more than the whole system that step C obtained.
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| CNA031310397A CN1549527A (en) | 2003-05-16 | 2003-05-16 | Method for realizing automatic control data flow under the state of overloading |
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| CNA031310397A CN1549527A (en) | 2003-05-16 | 2003-05-16 | Method for realizing automatic control data flow under the state of overloading |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101843133A (en) * | 2007-10-31 | 2010-09-22 | 日本电气株式会社 | Resource allocation method in communication system, resource allocation system, and base station used for the same |
| CN105577561A (en) * | 2014-10-15 | 2016-05-11 | 中兴通讯股份有限公司 | Method and system for realizing load balancing between virtualized network elements, and virtualized network element |
-
2003
- 2003-05-16 CN CNA031310397A patent/CN1549527A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101843133A (en) * | 2007-10-31 | 2010-09-22 | 日本电气株式会社 | Resource allocation method in communication system, resource allocation system, and base station used for the same |
| CN101843133B (en) * | 2007-10-31 | 2015-05-13 | 日本电气株式会社 | Resource allocation method in communication system, resource allocation system, and base station used for the same |
| US9215692B2 (en) | 2007-10-31 | 2015-12-15 | Nec Corporation | Resource allocation method in communication system, resource allocation system, and base station used for the same |
| CN105577561A (en) * | 2014-10-15 | 2016-05-11 | 中兴通讯股份有限公司 | Method and system for realizing load balancing between virtualized network elements, and virtualized network element |
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