CN102711075B - Self-adaptive terminal network flow correction method - Google Patents
Self-adaptive terminal network flow correction method Download PDFInfo
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Abstract
The invention provides a self-adaptive terminal network flow correction method. The method includes: calculating correction flow corresponding to total flow according to application program weight values and the proportion of flow of each local application program accounting for the total flow; and adjusting the application program weight values to allocate an initial weight value to each application program. Allocation of the initial weight value to each application program enables the correction flow to be self-adaptive to use habits of users, and the calculated correction flow can be dynamically adjusted along with use flow of a specific application program to adapt to preference of different users, so that the users can estimate real flow from the correction flow without initiatively inquiring real flow to an operator. The real flow approaches to the statistic real flow of the operator, so that user satisfaction is improved, and further network flow statistic product competitiveness can be improved.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of adaptive terminal network flow correction method.
Background technology
The software of existing wireless terminal traffic statistics is generally the local flow that the api function utilizing system to provide can obtain terminal use, and is accumulated into a moon flow.But because local packets also exists the problem such as winding flow and some re-transmissions, the packet lost and load factor, cause the packet that an application program sends, inconsistent with the data package size seen at carrier billing systems place, therefore the monthly real traffic that the monthly flow that this locality counts can not come out with operator is identical.
No. CN201180000307.6th, Chinese patent application discloses a kind of artificial synthesis and device of network traffics, from real traffic, extract the first real traffic composition parameter sequence and the second real traffic composition parameter sequence, generate first flow composition parameter sequence; Obtain the coefficient of relationship between first flow composition parameter and the second flow composition parameter, and generate the second artificial flow composition parameter sequence; Artificial flow is synthesized according to the first artificial flow composition parameter sequence and the second artificial flow parameter composition sequence.The program exists following not enough: it cannot regulate the value of the artificial flow of synthesis according to the use habit of user.No. CN2004100009855th, Chinese patent application discloses a kind of utilization and predicts and abnormal alarm method based on the self adaptive network traffic of genetic algorithm.It is the flow predicting certain time period based on genetic algorithm, and its emphasis is the flow of certain time dimension of prediction.
Summary of the invention
The object of the present invention is to provide a kind of adaptive terminal network flow correction method, make the local flow come out be carried out the real traffic of the charge system statistics of convergence different operators by correction calculation, be shown to user.
Another object of the present invention is to provide a kind of adaptive terminal network flow correction method, the value of dynamic adjustments flow can be carried out according to the use habit of user, thus improve user satisfaction, and then the competitiveness of network flow statistic product can be improved.
The object of the invention is to be achieved through the following technical solutions.
A kind of adaptive terminal network flow correction method, comprising:
The proportion that terminal accounts for total flow according to application program weights and local application flow calculates calibrated flow corresponding to total flow;
Terminal adjusts application program weights, to each application assigned initial weight according to the described calibrated flow calculated.
Preferably, the calculating of described calibrated flow specifically comprises step:
S1, record the flow that local each application program uses, accumulative local total flow information simultaneously;
S2, to obtain from high in the clouds and to upgrade the weights (r of application program
1..., r
n);
S3, calculate the ratio of flow that local each application program uses and local total flow respectively, obtain (b
1..., b
n);
S4, calibrated flow=local flow × (b
1× r
1+ b
2× r
2+ ... b
n× r
n);
Wherein, n is natural number.
Preferably, if high in the clouds does not export in step s2, so take the application program weights given tacit consent to.
Preferably, described adjustment application program weights, specifically comprise step:
A, user are to operator's inquiry this month use traffic, and this part is real traffic;
B, user select to correct adjustment application program weights;
C, the real traffic obtained from operator and local flow information are done ratio;
D, the weights of this ratio and application program are done smoothing computation average, be uploaded to high in the clouds.
Preferably, described real traffic is the network through operator, and by flow that carrier billing systems comes out.
Preferably, described local flow is the local network flow that application software is read out by system API Calls, comprises the local flow information such as flow of the total flow information of reading, each application.
Preferably, described calibrated flow is the true flow rate value gone out according to local volume forecasting.
Preferably, described application program weights are the ratio according to usage data agreement in application program, comprehensively a mean parameter obtaining of the load factor of its correspondence.
Preferably, described terminal comprises mobile phone, net book and mobile terminal product.
The embodiment of the present invention compared with prior art, the present invention passes through each application assigned initial weight, make calibrated flow can the use habit of adaptive user, because the calibrated flow that calculates can apply the size of use traffic along with certain, and its size of dynamic conditioning, thus the preference of different user can be adapted to, make user need not more initiatively to operator's inquiry real traffic, the real traffic just can estimated from calibrated flow, the real traffic of this real traffic convergence operator statistics, thus improve user satisfaction, and then the competitiveness of network flow statistic product can be improved.
Accompanying drawing explanation
Fig. 1 is the calculation flow chart of calibrated flow in implementation method of the present invention.
Fig. 2 is the adjustment flow process of the weights of application program in implementation method of the present invention.
Embodiment
Core concept of the present invention: comprise the proportion accounting for total flow according to application program weights and local application flow and calculate calibrated flow corresponding to total flow.Also comprise the step of adjustment application program weights simultaneously, by to each application assigned initial weight, make the calibrated flow that calculates can apply the size of use traffic along with certain, and its size of dynamic conditioning, thus the use habit of different use crowd can be adapted to, user need not more initiatively to operator's inquiry real traffic, the real traffic just can estimated from calibrated flow.
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
In the present embodiment, realize adaptive terminal network flow correction method and comprise the calculating of calibrated flow and adjustment two processing procedures of application program weights:
Refer to Fig. 1, the calculating of calibrated flow, comprises the steps:
First 101. record the flow that local each application program uses, accumulative local total flow information simultaneously.
102. to obtain from high in the clouds and to upgrade the weights (r of application program
1..., r
n), n is natural number.
Wherein, if high in the clouds does not export in step 102, so take the application program weights given tacit consent to.
103. calculate local each flow of application program use and the ratio of local total flow respectively, obtain (b
1..., b
n), n is natural number.
104. calibrated flows=local flow × (b
1× r
1+ b
2× r
2+ ... b
n× r
n), n is natural number.
Refer to Fig. 2, the adjustment of application program weights, comprises the steps:
201. users are to operator's inquiry this month use traffic, and this part is real traffic.
202. users select to correct, and correct the adjustment then carrying out application program weights, do not correct then process ends.
The real traffic obtained from operator and local flow information are done ratio by 203..
The weights of this ratio and application program are done smoothing computation average by 204., are uploaded to high in the clouds.
Described real traffic, refers to the network through operator, and by flow that carrier billing systems comes out.
Described local flow, refers to the local network flow that application software is read out by system API Calls, comprises the local flow information such as flow of the total flow information of reading, each application.
Described calibrated flow, refers to the true flow rate value gone out according to local volume forecasting, is called calibrated flow.
Described application program weights are the ratios according to usage data agreement in application program, comprehensively a mean parameter obtaining of the load factor of its correspondence.Such as, when user browses a wap webpage, the data of user's request are very little, may be very large but be really transferred to the bag be packaged on link, at this time the bag seen of operator and local bag just inconsistent.
Wherein, described terminal comprises the product that mobile phone, net book, module and mobile terminal etc. use carrier network.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. an adaptive terminal network flow correction method, is characterized in that, comprising:
The proportion that terminal accounts for total flow according to application program weights and local application flow calculates calibrated flow corresponding to total flow;
Terminal adjusts application program weights, to each application assigned initial weight according to the described rectification flow calculated.
2. adaptive terminal network flow correction method as claimed in claim 1, is characterized in that, the calculating of described calibrated flow specifically comprises step:
S1, record the flow that local each application program uses, accumulative local total flow information simultaneously;
S2, to obtain from high in the clouds and to upgrade the weights r of application program
1..., r
n;
S3, calculate the ratio of flow that local each application program uses and local total flow respectively, obtain b
1..., b
n;
S4, calibrated flow=local flow × (b
1× r
1+ b
2× r
2+ ... b
n× r
n);
Wherein, n is natural number.
3. adaptive terminal network flow correction method as claimed in claim 2, is characterized in that, if high in the clouds does not export in step s2, so takes the application program weights given tacit consent to.
4. adaptive terminal network flow correction method as claimed in claim 1, is characterized in that, described adjustment application program weights, specifically comprise step:
A, user are to operator's inquiry this month use traffic, and this part is real traffic;
B, user select to correct adjustment application program weights;
C, the real traffic obtained from operator and local flow information are done ratio;
D, the weights of this ratio and application program are done smoothing computation average, be uploaded to high in the clouds.
5. adaptive terminal network flow correction method as claimed in claim 4, is characterized in that, described real traffic is the network through operator, and by flow that carrier billing systems comes out.
6. adaptive terminal network flow correction method as claimed in claim 4, it is characterized in that, described local flow is the local network flow that application software is read out by system API Calls, comprises the local flow information such as flow of the total flow information of reading, each application.
7. adaptive terminal network flow correction method as claimed in claim 4, is characterized in that, described calibrated flow is the true flow rate value gone out according to local volume forecasting.
8. adaptive terminal network flow correction method as claimed in claim 1, is characterized in that, described application program weights are the ratio according to usage data agreement in application program, comprehensively a mean parameter obtaining of the load factor of its correspondence.
9. adaptive terminal network flow correction method as claimed in claim 1, is characterized in that, described terminal comprises mobile phone, net book.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103002512B (en) * | 2012-11-20 | 2015-06-10 | 北京百度网讯科技有限公司 | Flow control method and device for mobile terminal |
| CN105227391B (en) * | 2014-06-30 | 2017-11-21 | 腾讯科技（深圳）有限公司 | The traffic statistic function method of testing and system of application program |
| CN104410962A (en) * | 2014-11-10 | 2015-03-11 | 华为软件技术有限公司 | A terminal user network traffic monitoring method and device |
| CN107171895A (en) * | 2017-07-01 | 2017-09-15 | 浙江省计量科学研究院 | A kind of communication network data flow-measuring method |
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| CN101346974A (en) * | 2005-10-25 | 2009-01-14 | 高通股份有限公司 | Dynamic resource matching system |
| CN101420336A (en) * | 2007-10-26 | 2009-04-29 | 诺基亚西门子通信有限责任两合公司 | Method for recognizing network telephone flow quantity in network and system thereof |
| CN101695050A (en) * | 2009-10-19 | 2010-04-14 | 浪潮电子信息产业股份有限公司 | Dynamic load balancing method based on self-adapting prediction of network flow |
| CN102035737A (en) * | 2010-12-08 | 2011-04-27 | 北京交通大学 | Adaptive load balancing method and device based on cognitive network |
| CN102253858A (en) * | 2011-06-27 | 2011-11-23 | 宇龙计算机通信科技(深圳)有限公司 | Device and method for managing application programs |
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1780265A (en) * | 2004-11-17 | 2006-05-31 | 华为技术有限公司 | Flow controlling method for message system |
| CN101346974A (en) * | 2005-10-25 | 2009-01-14 | 高通股份有限公司 | Dynamic resource matching system |
| CN101420336A (en) * | 2007-10-26 | 2009-04-29 | 诺基亚西门子通信有限责任两合公司 | Method for recognizing network telephone flow quantity in network and system thereof |
| CN101695050A (en) * | 2009-10-19 | 2010-04-14 | 浪潮电子信息产业股份有限公司 | Dynamic load balancing method based on self-adapting prediction of network flow |
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Effective date of registration: 20170418 Address after: Yuhuatai District of Nanjing city Ning dual 210000 Jiangsu province No. 28 room 1008 Patentee after: Nanjing Zhongxing Technology Co.,Ltd. Address before: 518000 Guangdong province Shenzhen city Nanshan District high tech park, No. 9018 North Central Avenue, building A, floor 10, Han's innovation Patentee before: NUBIA TECHNOLOGY Co.,Ltd. |
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