CN102893654A - Congestion detection method and apparatus for cell in mobile network - Google Patents
Congestion detection method and apparatus for cell in mobile network Download PDFInfo
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Abstract
A congestion detection method and apparatus for cells in mobile network are provided, and the embodiments relates to mobile communication technology field, and congestion detection and data shunting can be realized through core network element. The congestion detection method for cells in mobile network includes: acquiring a round trip time of a cell data message in real time; comparing the round trip time with a preset congestion round trip time threshold value, if the round trip time is more than the congestion round trip time threshold value, determining the cell is overload and congested, and if the round trip time is less than the congestion round trip time threshold value, determining the cell is not congested.
Description
The congestion detection method and engineering device technique field of mobile network cell
The present invention relates to the congestion detection method and device of mobile communication technology field, more particularly to a kind of mobile network cell.Background technology
With the extensive use and the surge of smart phone user amount of wireless broadband business, the congestion condition of the cell of mobile network is increasingly serious, and this is mainly reflected in user to the contradiction between the available bandwidth of demand and network of bandwidth.
In order to which Slow solves this contradiction, we should be effectively managed bandwidth resources, improve the utilization ratio of bandwidth resources.Bandwidth Management includes access control, flow point class, traffic policing, Congestion Avoidance, traffic shaping, queue scheduling etc..
At present, the congestion detection of mobile network cell and control are by base station controller (Base Station Controller, abbreviation BSC)/radio network controller(Radio Network Controller, abbreviation RNC) network element or Gateway GPRS Support Node(Gateway GPRS Support Node, abbreviation GGSN) network element, come what is realized, mainly there is following three kinds of modes:
First, BSC/RNC network elements are responsible for congestion detection, control and business data flow differentiation.Service condition from wherein BTS/NodeB (NodeB) network elements to RNC reported by network elements local resources, BSC/RNC network elements judge the Congestion Level SPCC of cell according to the actual use situation of local resource, according to different Congestion Level SPCCs, BSC/RNC network elements perform corresponding countermeasure.
2nd, BSC/RNC network elements are only responsible for congestion detection, then give GGSN network elements small area jam information reporting, be responsible for congestion control by GGSN network elements and business data flow is distinguished.BSC/RNC network elements can directly report GGSN network elements by Iu-Ps interfaces, can also first report OSS(Operating Support System, abbreviation OSS), then by OSS system statisticses and analysis congestion characteristics, congestion control is finally carried out on GGSN network elements.
3rd, BSC/RNC network elements are responsible for congestion detection and control, and GGSN network elements are responsible for business data flow area
Point, then it is marked for different business data message, BSC/RNC network elements implement differentiated service according to these marks.
At least there is problems with the technical scheme of prior art:During using the first implementation, BSC/RNC network elements are not appropriate for carrying out message identification and parsing in itself, realize the ability of business data flow differentiation than relatively limited;Interface change is directed to using second of implementation and the third implementation, it is necessary to be standardized work to relevant interface, the performance difficulty in the case of multi-vendor equipment networking.The content of the invention
The technical problems to be solved by the invention are the congestion detection method and device for providing a kind of mobile network cell, can realize congestion detection and data distribution by core network element.
In order to solve the above technical problems, the embodiment of the present invention is adopted the following technical scheme that:
A kind of congestion detection method of mobile network cell, including:
The two-way time of cell data message is obtained in real time;
The two-way time is compared with default congestion two-way time threshold value, if the two-way time is more than the congestion two-way time threshold value, then judge the cell-overload congestion, if the two-way time is less than the congestion two-way time threshold value, judge the non-congestion of the cell.
A kind of core network element, including:
Acquiring unit, the two-way time for obtaining cell data message in real time;
Comparison judgment unit, for the two-way time to be compared with default congestion two-way time threshold value, if the two-way time is more than the congestion two-way time threshold value, then judge the cell-overload congestion, if the two-way time is less than the congestion two-way time threshold value, the non-congestion of the cell is judged.
In the technical scheme of the present embodiment, pass through the RTT detections to data message, and the result according to RTT compared with default congestion two-way time threshold value, realize the congestion detection to mobile network cell, this method causes core network element to complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to the change of existing mobile network architecture and interface, therefore does not need BSC/RNC and base transceiver station(Base Transceiver Station, abbreviation BTS)/NodeB upgradings are easy to implement, quick.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in being described below to embodiment is briefly described, apparently, drawings in the following description are only some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart of the congestion detection method of mobile network cell in the embodiment of the present invention one;The method schematic diagram that Fig. 2 is acquisition cell RTT in the embodiment of the present invention;
Fig. 3 is the flow chart of the congestion detection method of mobile network cell in the embodiment of the present invention two;Fig. 4 be the embodiment of the present invention in data service carry out stratified sampling schematic diagram;
Fig. 5 is the signaling diagram of Intra SGSN flows in the embodiment of the present invention;
Fig. 6 is the signaling diagram of Inter SGSN flows in the embodiment of the present invention;
Fig. 7 is the schematic diagram in the embodiment of the present invention two by RTT progress congestion detections;
Fig. 8 is the flow chart of the congestion detection method of mobile network cell in the embodiment of the present invention three;Fig. 9 is the schematic diagram of Tong Guo Lost bags rate progress congestion detection in the embodiment of the present invention three;
Figure 10 is the flow chart of the congestion detection method of mobile network cell in the embodiment of the present invention four;Figure 11 combines the schematic diagram of progress congestion detection to pass through RTT and bandwidth in the embodiment of the present invention four;Figure 12 is the structural representation one of core network element in the embodiment of the present invention five;
Figure 13 is the structural representation of acquiring unit in the embodiment of the present invention five;
Figure 14 is the structural representation two of core network element in the embodiment of the present invention five.Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made belongs to the scope of protection of the invention.
The embodiment of the present invention provides a kind of congestion detection method and device of mobile network cell, can realize congestion detection and data distribution by core network element.
Embodiment one
The embodiment of the present invention provides a kind of congestion detection method of mobile network cell, and as shown in Fig. 1, this method includes:
101st, core network element obtains the two-way time (Round Trip Time abbreviation RTT) of cell data message in real time;
In the present embodiment, core network element can be SGSN, GGSN and SAE Gateway etc..Specifically, as shown in Fig. 2 so that data message is TCP data message as an example, then the method for obtaining the RTT of data message is:
1011st, core network element receives Packet Data Network (Packet Data Network, abbreviation PDN) after descending TCP data message, four layers of parsing are carried out to the message, for example retransmit or out of order judgement, and re-transmission bag and out of order bag number of times are counted, in order to obtain the TCP data message Lost bag rates;Meanwhile, core network element record receives the blunt literary moment Tr of the TCP data 4.
1012nd, user equipment(User Equipment, abbreviation UE) receive after the packet of the TCP data message, a confirmation packet can be sent(Ack core network element) is arrived, core network element record receives confirmation packet(Ack Ta at the time of), then the RTT values of the TCP data message are equal to Ta-Tr.
102nd, core network element compares the RTT with default congestion two-way time threshold value, if the RTT is more than the congestion two-way time threshold value, then judge the cell-overload congestion, if the RTT is less than the congestion two-way time threshold value, judge the cell not congestion.
In the technical scheme of the present embodiment, the congestion detection to mobile network cell is realized by the detection to data message and judgement, this method can be implemented on the core network elements such as SGSN, GGSN and SAE Gateway, core network element can either complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to the change of existing mobile network architecture and interface, therefore does not need BSC/RNC and BTS/NodeB upgradings, easy to implement, quick.
Embodiment two
When congestion occurs for mobile network cell, the TCP data message more than rate limit will be stored in by Slow
Queue, because Slow deposits the increase of time, causes the RTT times elongated, and being continuously increased along with flow, and the depth that Slow deposits queue is also increasingly deeper, and RTT values also will constantly become big.If service traffics still continue to increase, Slow can be caused to deposit queue overflow, the TCP data message at this moment subsequently reached will Bei Lost abandon and then Chu Xian Lost bag phenomenons.It therefore, it can determine whether cell occurs congestion by checking the change of cell RTT values.
The embodiment of the present invention provides a kind of congestion detection method of mobile network cell, and this method realizes the congestion detection to cell, as shown in Fig. 2 this method includes by the detection and judgement to RTT:
201st, core network element obtains the blunt literary RTT of cell TCP data 4 in real time;
Wherein, the RTT method of cell TCP data message is obtained with reference to shown in specific descriptions and Fig. 2 in the step 101 of embodiment one, is not subject to Redundant in the present embodiment and is stated.
Because the embodiment of the present invention is to detect whether cell produces congestion according to the RTT of TCP data message changes, and each mobile cell certainly exists multiple TCP connections, accordingly, it would be desirable to obtain the RTT of cell.Furthermore, it is desirable to which reducing core network element equipment as far as possible extracts the time required during with analyze data, to reduce due to detection small area jam to the influence of core network element equipment disposal ability.In order to meet above-mentioned requirements, in the present embodiment, introduce the method for statistical sampling to carry out RTT measurement and statistics.The sample value of two-way time and the sample value of Lost bag rates according to the quantity and business use ratio of the type of service of cell TCP data message, can be extracted according to the default sampling interval.
Wherein, above-mentioned sampling interval is defined as:
The distribution obeyed according to sample interval, the methods of sampling can be divided into many kinds, in the present embodiment, can use periodic sampling, random oversampling and Poisson sampling.
Periodic sampling is to produce single sample every the set time.The generation in the sampling interval of random oversampling is separate, and obeys certain distribution function.Poisson sampling, its time interval meets Poisson distribution.
Using the above method come sample drawn, the RTT of cell is obtained according to above-mentioned RTT sample value, i.e. take the RTT average values of these samples as the RTT of cell.
It is equally possible that counting these samples Lost bags rates as cell Lost bag rates.
Wherein, Sampling Strategies are:
Because the TCP traffic that mobile terminal is related to is numerous, in order to more accurately measure the RTT of cell, RTT sample value can be extracted according to the default sampling interval, for example with layered sampling method according to the business use ratio that each type of service is corresponded in the data message.During sampling, the TCP data message under cell is divided into non-cross layer according to type of service, then according to a certain percentage, then out of each layer a number of observation unit is randomly selected, sample is constituted altogether.In this way, sample is representative relatively good, and the error of sampling is also smaller.
As shown in figure 4, TCP data message is divided into m class business, such as common web page browsing, Streaming Media, point to point service, PTP(Point to point abbreviation P2P) and the business such as Email mails, the ratio of every kind of business is differed, ratio according to every kind of business therefrom extracts a number of TCP data message, assuming that having extracted n TCP data message sample from m business, then it is assumed that the RTT values of cell are equal to this!!It is individual!The RTT averages of ^ Jie data message samples;Similarly, cell Lost bags rate is equal to this n TCP data message sample Lost bag rate.
Using the business use ratio sample drawn according to each type of service of correspondence is needed during stratified sampling, the business use ratio of determination can be using two kinds of approach:
1) realized by being pre-configured with;
The mobile service distribution of each operator is different from, can be according to practical situations come configuration service ratio, and the configuration is a kind of average statistics distribution.
2) parse (Deep Packet Inspection, abbreviation DPI) function analytic message to realize using deep message.
Core network element can utilize DPI function analytic messages, and the quantity of the type of service of cell and the use ratio of every kind of business can be obtained according to analysis result.
Compared with being pre-configured with, the real case of service distribution under cell can be embodied in real time using DPI.
DPI is a kind of flow detection and control technology based on application layer, when IP packets, TCP or UDP data flows are by system with DPI functions, the system is identified and parsed to the application layer message in the layer protocols of OSI seven by the content of deep reading message load, so as to obtain whole business information.
At present, core network element, such as GGSN, itself has been provided with DPI functions, therefore, it can make full use of the DPI functions of core network element to carry out analytic message, so as to obtain the type of service and service distribution of cell in real time.
Compared to static configuration method, it can more accurately obtain business proportion, therefore the representativeness of sample is more preferable using DPI functional effects more preferably.
It should be noted that because user equipment (UE) can switch between cell and cell or Route Area frequently, therefore, Routing Area Update/switching will be produced when when user equipment (UE) being moved into new cell/Route Area(Serving RNS Relocation) etc. flow, now SGSN should carry out the processing whether cell is changed.Following examples are illustrated only with (Routeing Area Update, abbreviation RAU) flow is updated, and switch(Serving RNS Relocation) etc. flow there is similar processing.
As shown in Figure 5, for intra-SGSN routing area update (Intra SGSN) flow, i.e. user equipment (UE) switches between the Route Area being under the jurisdiction of under same SGSN, then SGSN judges whether user equipment (UE) leaves the cell for carrying out congestion detection, if user equipment (UE) leaves the cell for carrying out congestion detection, and the user equipment (UE) is the sample of users of congestion detection, the user equipment (UE) should then be deleted from sample, and the flow that the user equipment (UE) is produced is not calculated in cell uses bandwidth.
As shown in Figure 6, for inter-SGSN routing area update (Inter SGSN) flow, i.e. user equipment (UE) switches between the Route Area being under the jurisdiction of under different SGSN, then original SGSN (Old SGSN) judges whether user equipment (UE) leaves the cell for carrying out congestion detection, if user equipment (UE) leaves the cell for carrying out congestion detection, and the user is the sample of users of congestion detection, then the user equipment (UE) is deleted from sample, and the flow that the user equipment (UE) is produced is not calculated in cell uses bandwidth.
202nd, core network element compares the RTT with default congestion two-way time threshold value RTTa, if the two-way time is more than the congestion two-way time threshold value RTTa, then judge the cell-overload congestion, if the two-way time is less than the congestion two-way time threshold value RTTa, the cell is judged not
Congestion.
Wherein, congestion two-way time threshold value RTTa is preset value, and core network element detects the RTT of cell in real time, and compared with RTTa, if the RTT of cell is more than RTTa, judges the cell-overload congestion.
203rd, when judging the cell-overload congestion, core network element sends cell-overload signal.
The detailed process of above-mentioned steps 202 and 203, as shown in fig. 7,
(1) before the T1 times, Zone flow smaller part is in not congestion state, the steady fluctuation in certain interval of cell RTT values;
(2) since the T1 times, Zone flow continues to increase, and message Slow, which deposits time increase, causes RTT values to be constantly increasing;
(3) in the T2 times, when cell RTT values are more than RTTa, system thinks that cell is overloaded, and sends cell-overload signal;
(4) since the T3 times, the service traffics of cell start to reduce;
(5) in the T4 times, when cell RTT values are less than RTTa, system thinks cell recovery to not congestion state.
In the technical scheme of the present embodiment, pass through the detection and judgement to RTT, realize the congestion detection to mobile network cell, this method can be implemented on the core network elements such as SGSN, GGSN and SAE Gateway, core network element can either complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to the change of existing mobile network architecture and interface, therefore does not need BSC/RNC and BTS/NodeB upgradings, easy to implement, quick.
Embodiment three
The embodiment of the present invention provides a kind of congestion detection method of mobile network cell, and the real-time detection and judgement of this method Tong Guo Dui Lost bag rates realize the congestion detection to cell, as shown in figure 8, this method includes:301st, core network element obtains cell TCP data message Lost bag rates in real time;
Wherein, the method for cell TCP data message Lost bag rates is obtained with reference in the step 101 of embodiment one
Specific descriptions and Fig. 2 shown in, the present embodiment is not subject to Redundant and stated.
It is possible to further the statistical method with reference to RTT samples in embodiment two, statistical sample Lost bags rates are used as cell Lost bag rates.Bag rate is more than Suo Shu Lost bag rate threshold values, then judges the cell-overload congestion, if Suo Shu Lost bags rate is less than Suo Shu Lost bag rate threshold values, judges the cell not congestion;
Wherein , Lost bags rate threshold value is preset value, and core network element detects cell Lost bag rates in real time, and Bing, if the RTT of cell is more than RTTa, judges the cell-overload congestion compared with Lost bag rate threshold values.
303rd, when judging the cell-overload congestion, core network element sends cell-overload signal.The detailed process of above-mentioned steps 302 and 303, as shown in figure 9, illustrating the change of Gen Ju Lost bags rate to carry out the process of small area jam judgement.
(1) before the T1 times, Zone flow smaller part is in not congestion state, and cell does not have Fa Sheng Lost bag Huo person's Lost bag rate very littles;
(2) continuing to increase with Zone flow, cell initially enters congestion state, and the situation of rising can be presented in Ci Shi Lost bags rates, when the T1 times are Dang Lost bag rate great Yu Lost bag rate threshold values, system thinks that cell is overloaded, and sends cell-overload signal;
(3) when T2 times , is Dang Lost bag rate little Yu Lost bag rate threshold values, system thinks cell recovery to not congestion state.
In the technical scheme of the present embodiment, the real-time detection and judgement of Tong Guo Dui Lost bag rates, realize the congestion detection to mobile network cell, this method can be implemented on the core network elements such as SGSN, GGSN and SAE Gateway, core network element can either complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to the change of existing mobile network architecture and interface, therefore does not need BSC/RNC and BTS/NodeB upgrading, easy to implement and quick.
Example IV
The embodiment of the present invention provides a kind of congestion detection method of mobile network cell, and this method realizes the congestion detection to cell, as shown in Figure 10, this method includes by the real-time detection and judgement to RTT and bandwidth:
401st, core network element obtains the RTT of cell TCP data message and the bandwidth of cell in real time;Wherein, with reference to the foregoing embodiments, no longer Redundant is stated the RTT of TCP data message acquisition modes herein, and the total bandwidth of cell can also be obtained dynamic realtime by static configuration.When the business total flow of user under cell is more than cell total bandwidth, increase tendency can be presented in the RTT of TCP connections.
402nd, when the value of the two-way time becomes larger, and during bandwidth held stationary fluctuation, core network element judges the cell-overload congestion;
403rd, when judging the cell-overload congestion, core network element sends cell-overload signal.
Wherein, RTT has been illustrated in Figure 11 and bandwidth joint carries out the process of small area jam judgement, such as schemes
Shown in 11,
(1) before the T1 times, although Zone flow constantly increases, utilized bandwidth is less than cell total bandwidth, now the steady fluctuation in certain interval of cell RTT values;
(2) since the T1 times, Zone flow continues to increase, when message rate exceedes maximum bandwidth, message more than rate limit will be stored in queue by Slow first, because Slow deposits the increase of time, RTT values also will progressively become big, and TCP sources will reduce data transmission speed to respond congestion, reduce the use to bandwidth.Therefore, within the T1 T2 times, cell RTT values little by little become greatly, but the use bandwidth held stationary of cell is fluctuated, if detecting this change, system thinks that cell is overloaded, and sends cell-overload signal;
(3) since the times of Τ 3, along with cell gradually reducing using bandwidth, RTT values also progressively decline, until steady fluctuation.
In the technical scheme of the present embodiment, by to cell RTT and bandwidth joint-detection, realize the congestion detection to mobile network cell, this method can be implemented on the core network elements such as SGSN, GGSN and SAE Gateway, core network element can either complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to
The change of existing mobile network architecture and interface, therefore BSC/RNC and BTS/NodeB upgradings are not needed, it is easy to implement and quick.
Embodiment five
The embodiment of the present invention also provides a kind of core network element of the congestion detection method of the mobile network cell described in application above-described embodiment, as shown in figure 12, and the core network element includes:
Acquiring unit 11 and comparison judgment unit 12, wherein,
Acquiring unit 11, the two-way time for obtaining cell data message in real time;
Comparison judgment unit 12, for the two-way time to be compared with default congestion two-way time threshold value, if the two-way time is more than default congestion two-way time threshold value, then judge the cell-overload congestion, if the two-way time is less than the default congestion two-way time threshold value, the cell not congestion is judged.
Further, as shown in figure 13, the acquiring unit 11 includes:Decimation blocks 111 and computing module 112.
Decimation blocks 111, for the business use ratio according to each type of service of correspondence in the data message, the sample value of two-way time is extracted according to the default sampling interval;Computing module 112, for obtaining the two-way time according to the sample value of the two-way time.
The methods of sampling in the default sampling interval is:Periodic sampling, random oversampling and Poisson sampling.Further, as shown in figure 14, the acquiring unit 11 also includes:
Business proportion configuration module 113, for the business use ratio by being pre-configured with or being obtained by deep message analytical capabilities analytic message each type of service of correspondence in the data message.
Further, the acquiring unit 11 is additionally operable to obtain the bandwidth of the cell in real time;When held stationary is fluctuated, the cell-overload congestion is judged.
Further, the acquiring unit 11 is additionally operable to obtain cell data message Lost bag rates in real time;Compared with if Suo Shu Lost bags rate judges the cell-overload congestion, if institute more than Suo Shu Lost bag rate threshold values
Shu Lost bags rate is less than Suo Shu Lost bag rate threshold values, then judges the non-congestion of the cell.
Further, the core network element also includes:
Tip element 13 is overloaded, for when judging the cell-overload congestion, sending cell-overload signal.It should be noted that the function of above-mentioned core network element can be realized by core network elements such as SGSN, GGSN and SAE Gateway.
In the technical scheme of the present embodiment, pass through the detection and judgement of the RTT to data message, realize the congestion detection to mobile network cell, this method can be implemented on the core network elements such as SGSN, GGSN and SAE Gateway, core network element can either complete congestion detection and control, and the ability that core net carries out business data flow differentiation can be given full play to again;Also, prior art is different from, this method is not related to the change of existing mobile network architecture and interface, therefore does not need BSC/RNC and BTS/NodeB upgradings, easy to implement, quick.
Through the above description of the embodiments, it is apparent to those skilled in the art that the present invention can add the mode of required common hardware to realize by software, can certainly the former be more preferably embodiment by hardware, but in many cases.Understood based on such, the part that technical scheme substantially contributes to prior art in other words can be embodied in the form of software product, the computer software product is stored in the storage medium that can be read, such as the floppy disk of computer, hard disk or CD etc., including some instructions are to cause a computer equipment(Can be personal computer, server, or network equipment etc.)Perform the method described in each embodiment of the invention.
It is described above; only embodiment of the invention, but protection scope of the present invention is not limited thereto, any one skilled in the art the invention discloses technical scope in; change or replacement can be readily occurred in, should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (1)
- Claims1st, a kind of congestion detection method of mobile network cell, it is characterised in that including:The two-way time of cell data message is obtained in real time;The two-way time is compared with default congestion two-way time threshold value, if the two-way time is more than the congestion two-way time threshold value, then judge the cell-overload congestion, if the two-way time is less than the congestion two-way time threshold value, judge the non-congestion of the cell.2nd, according to the method described in claim 1, it is characterised in that the two-way time for obtaining cell data message in real time includes:According to the business use ratio of each type of service of correspondence in the data message, the sample value of two-way time is extracted according to the default sampling interval;The two-way time is obtained according to the sample value of the two-way time.3rd, method according to claim 2, it is characterised in that in the business use ratio according to each type of service of correspondence in the data message, include before extracting the sample value of two-way time according to the default sampling interval:By the business use ratio for being pre-configured with or being obtained by deep message analytical capabilities analytic message each type of service of correspondence in the data message.4th, method according to claim 2, it is characterised in that the methods of sampling in the default sampling interval is:Periodic sampling, random oversampling and Poisson sampling.5th, the method according to claim 1-4 any claims, it is characterised in that after the two-way time for obtaining cell data message in real time, in addition to:The bandwidth of the cell is obtained in real time;When the value of the two-way time becomes larger, and during bandwidth held stationary fluctuation, judge the cell-overload congestion.6th, according to the method described in claim 1, it is characterised in that also include:Cell data message Lost bag rates are obtained in real time;Suo Shu Lost bags rates are compared with Yu She Lost bag rate threshold values, if Suo Shu Lost bags rate is more than Suo Shu Lost bags Rate threshold value, then judge the cell-overload congestion, if Suo Shu Lost bags rate is less than Suo Shu Lost bag rate threshold values, judges the non-congestion of the cell.7th, the method according to claim 1,2,3,4 or 6 any claims, it is characterised in that also include:When judging the cell-overload congestion, cell-overload signal is sent.8th, a kind of core network element, it is characterised in that including:Acquiring unit, the two-way time for obtaining cell data message in real time;Comparison judgment unit, for the two-way time to be compared with default congestion two-way time threshold value, if the two-way time is more than the congestion two-way time threshold value, then judge the cell-overload congestion, if the two-way time is less than the congestion two-way time threshold value, the non-congestion of the cell is judged.9th, core network element according to claim 7, it is characterised in that the acquiring unit includes:Decimation blocks, for the business use ratio according to each type of service of correspondence in the data message, the sample value of two-way time is extracted according to the default sampling interval;Computing module, for obtaining the two-way time according to the sample value of the two-way time.10th, core network element according to claim 9, it is characterised in that the methods of sampling in the default sampling interval is:Periodic sampling, random oversampling and Poisson sampling.11st, the core network element according to claim 9, it is characterised in that the acquiring unit also includes:Business proportion configuration module, for the business use ratio by being pre-configured with or being obtained by deep message analytical capabilities analytic message each type of service of correspondence in the data message.12nd, the core network element according to claim 8-11 any claims, it is characterised in that the acquiring unit is additionally operable to obtain the bandwidth of the cell in real time;During steady fluctuation, the cell-overload congestion is judged.13rd, core network element according to claim 8, it is characterised in thatThe acquiring unit is additionally operable to obtain cell data message Lost bag rates in real time; The comparison judgment unit is additionally operable to compare Suo Shu Lost bags rates with Yu She Lost bag rate threshold values, if Suo Shu Lost bags rate is more than Suo Shu Lost bag rate threshold values, then judge the cell-overload congestion, if Suo Shu Lost bags rate is less than Suo Shu Lost bag rate threshold values, judge the non-congestion of the cell.14th, the core network element according to claim 8,9,10,11 or 13 any claims, it is characterised in that also include:Tip element is overloaded, for when judging the cell-overload congestion, sending cell-overload signal.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9584419B1 (en) | 2015-03-18 | 2017-02-28 | Google Inc. | Systems and methods for detecting consistent fabric congestion in a datacenter based on historical traffic data |
CN106912072A (en) * | 2015-12-22 | 2017-06-30 | 上海自足网络科技有限公司 | A kind of Wireless Ad Hoc network congestion control mechanism based on virtual transmission agreement |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2871811B1 (en) | 2012-07-25 | 2018-04-04 | Huawei Technologies Co., Ltd. | Data shunting method, data transmission device and shunting node device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101222296A (en) * | 2008-01-31 | 2008-07-16 | 上海交通大学 | Self-adapting transmission method and system in ascending honeycomb video communication |
US20090022055A1 (en) * | 2007-07-16 | 2009-01-22 | Microsoft Corporation | Systems and methods for improving tcp-friendliness of delay-based congestion control |
CN101420419A (en) * | 2008-10-27 | 2009-04-29 | 吉林大学 | Adaptive high-speed network flow layered sampling and collecting method |
CN101917342A (en) * | 2010-08-25 | 2010-12-15 | 天津理工大学 | Pervasive service-oriented adaptive network congestion control method |
CN101984601A (en) * | 2010-11-04 | 2011-03-09 | 中国人民解放军空军工程大学 | Hybrid multi-target optimized multicast congestion control method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101645765B (en) * | 2009-08-03 | 2012-10-03 | 四川大学 | Reliable transmission acceleration method facing networks with high error rate and long delay characteristics |
-
2011
- 2011-05-20 CN CN201180000704.3A patent/CN102893654B/en active Active
- 2011-05-20 WO PCT/CN2011/074451 patent/WO2011144061A2/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090022055A1 (en) * | 2007-07-16 | 2009-01-22 | Microsoft Corporation | Systems and methods for improving tcp-friendliness of delay-based congestion control |
CN101222296A (en) * | 2008-01-31 | 2008-07-16 | 上海交通大学 | Self-adapting transmission method and system in ascending honeycomb video communication |
CN101420419A (en) * | 2008-10-27 | 2009-04-29 | 吉林大学 | Adaptive high-speed network flow layered sampling and collecting method |
CN101917342A (en) * | 2010-08-25 | 2010-12-15 | 天津理工大学 | Pervasive service-oriented adaptive network congestion control method |
CN101984601A (en) * | 2010-11-04 | 2011-03-09 | 中国人民解放军空军工程大学 | Hybrid multi-target optimized multicast congestion control method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9584419B1 (en) | 2015-03-18 | 2017-02-28 | Google Inc. | Systems and methods for detecting consistent fabric congestion in a datacenter based on historical traffic data |
CN106912072A (en) * | 2015-12-22 | 2017-06-30 | 上海自足网络科技有限公司 | A kind of Wireless Ad Hoc network congestion control mechanism based on virtual transmission agreement |
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WO2011144061A2 (en) | 2011-11-24 |
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