CN105657001B - A kind of method and device of analysis communication big data - Google Patents
A kind of method and device of analysis communication big data Download PDFInfo
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- CN105657001B CN105657001B CN201510998563.9A CN201510998563A CN105657001B CN 105657001 B CN105657001 B CN 105657001B CN 201510998563 A CN201510998563 A CN 201510998563A CN 105657001 B CN105657001 B CN 105657001B
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The embodiment of the present invention provides a kind of method and device of analysis communication big data, is related to field of communication technology, solves the problems, such as that at high cost and analysis real-time is poor.This method comprises: PGW receives source code flow, the code stream that the source code flow generates when being user terminal initiating business request；The PGW identifies the source code flow using deep-packet detection DPI technology, obtain service feature data, the service feature data include the classification information of business, the information of the application program to match with the business or in bandwidth occupied by service information at least two；The PGW extracts service feature data to be analyzed according to preset rules from the service feature data；The PGW analyzes the service feature data to be analyzed using preset algorithm, to generate analysis result；The analysis result is pushed to external platform by the PGW.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of method and devices of analysis communication big data.
Background technique
With the acceleration of every profession and trade interconnection networking process, communication big data analysis is the neck that current operator actively tries water
Domain.Communication big data analysis is mainly started with from user, by analyzing user service information, obtains the interested value of operator
Information.
In the prior art, the analysis for communicating big data is mainly original when initiating user business in mobile radio communication
Code stream is analyzed.Specifically, source code flow produces needed for operator by processes such as acquisition, storage, storage and analyses
Information carries out decision for operator in network construction, OA operation analysis.
Using above-mentioned analysis communication big data method at least there are the following problems:
(1), more from the link for collecting application, input cost is big.Such as need include acquisition needed for acquisition equipment,
Depositing for storage mass data exchanges number between storage analytical equipment and links needed for several media, deployment distributed system
According to the transmission device of required high bandwidth.
(2), just the data in library are analyzed after a series of processes of acquisition, storage and storage, causes to analyze
Real-time is looked into, and the demand analyzed in real time is unable to satisfy.
Summary of the invention
The embodiment of the present invention provides a kind of method and device of analysis communication big data, and it is real to solve at high cost and analysis
The problem of when property difference.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
The embodiment of the present invention provides a kind of method of analysis communication big data, comprising:
PGW receives source code flow, the code stream that the source code flow generates when being user terminal initiating business request；
The PGW identifies the source code flow using deep-packet detection DPI technology, obtains service feature data,
The service feature data include that the classification information of business, the information of the application program to match with the business and business occupy
Bandwidth information；
The PGW extracts service feature data to be analyzed according to preset rules from the service feature data；
The PGW analyzes the service feature data to be analyzed using preset algorithm, to generate analysis result；
The analysis result is pushed to external platform by the PGW.
It is provided in an embodiment of the present invention analysis communication big data method be PGW directly to received source code flow into
Row identification and analysis ensure that the real-time of communication big data analysis without acquiring from other equipment.By expanding on PGW
Open up parallel DPI unit, using the parallel DPI unit obtained from source code flow including business classification information, with business phase
The information for the application program matched and the service feature data of bandwidth occupied by service information, the service feature data are more in the prior art
PGW is small using the granularity that original DPI unit carries out the data that data identification is got, and therefore, PGW is obtained in the embodiment of the present invention
The accuracy for the service feature data got improves.Further, big data analysis unit is extended in PGW, utilizes the big number
It is analyzed according to the service feature data that analytical unit gets parallel DPI unit, in this way, PGW is only needed to can be completed to logical
The analysis for believing big data, reduces cost.
Further, the PGW analyzes the service feature data to be analyzed using preset algorithm, to generate
Before analyzing result, the method also includes:
The PGW obtains the static information of the pre-stored user terminal, and the static information includes the user
At least one of the mark of terminal, the signing information of the user terminal or geographical location information of the user terminal.
Correspondingly, the PGW analyzes the service feature data to be analyzed using preset algorithm, divided with generating
Analyse result, comprising:
The PGW is using preset algorithm to the static information of the service feature data and the user terminal to be analyzed
It is analyzed, to generate analysis result.
The static information of PGW combination user terminal carries out big data analysis, can satisfy the big data analysis of more various dimensions
Demand.
Another embodiment of the present invention provides a kind of PGW, comprising:
Receiving unit, for receiving source code flow, what the source code flow generated when being user terminal initiating business request
Code stream；
Parallel deep-packet detection DPI unit, for what is received using deep-packet detection DPI technology to the receiving unit
The source code flow is identified, obtains service feature data, the service feature data include classification information and the institute of business
The information and bandwidth occupied by service information for the application program that the business of stating matches；
Extraction unit is used for according to preset rules, from the service feature data that the parallel DPI unit is got
Extract service feature data to be analyzed；
Big data analysis unit, the business to be analyzed for being extracted using preset algorithm to the extraction unit are special
Sign data are analyzed, to generate analysis result；
Transmission unit, the analysis result for generating the big data analysis unit push to external platform.
Further, the PGW further includes acquiring unit,
The acquiring unit, for special to the business to be analyzed using preset algorithm in the big data analysis unit
Sign data are analyzed, and to generate before analyzing result, obtain the static information of the pre-stored user terminal, described quiet
State information includes the geographical location of the mark of the user terminal, the signing information of the user terminal or the user terminal
At least one of information.
Further, the big data analysis unit, specifically for special to the business to be analyzed using preset algorithm
The static information for the user terminal that sign data and the acquiring unit are got is analyzed, to generate analysis result.
The embodiment of the present invention provides a kind of method and device of analysis communication big data, and PGW is receiving user terminal hair
After the source code flow generated when playing service request, the source code flow is identified using DPI technology, obtains service feature number
According to then, PGW extracts service feature data to be analyzed according to preset rules from business characteristic, finally, PGW is utilized
Preset algorithm analyzes service feature data to be analyzed, generates analysis as a result, and the analysis result is pushed to outside
Platform.
PGW in the embodiment of the present invention can directly be identified and analyzed source code flow, ensure that the big number of communication
According to the real-time of analysis, meanwhile, reduce cost.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention are also possible to obtain other drawings based on these drawings for those of ordinary skill in the art.
Fig. 1 is the flow diagram one of the method for the analysis communication big data of the embodiment of the present invention；
Fig. 2 is the structural schematic diagram one of the PGW of the embodiment of the present invention；
Fig. 3 is the structural schematic diagram two of the PGW of the embodiment of the present invention；
Fig. 4 is the structural schematic diagram three of the PGW of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In addition, the terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates may exist
Three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.Separately
Outside, character "/" herein typicallys represent the relationship that forward-backward correlation object is a kind of "or".
When the embodiment of the present invention refers to the ordinal numbers such as " first ", " second ", unless based on context its express really it is suitable
The meaning of sequence, it is appreciated that being only to distinguish to be used.
Deep-packet detection (Deep Packet Inspection, DPI) technology is a kind of flow detection based on application layer
And control technology.When agreement (Internet Protocol, the IP) data packet, transmission control protocol interconnected between network
(Transmission Control Protocol, TCP) or User Datagram Protocol (User Datagram Protocol,
UDP when) data flow is by bandwidth management system based on DPI technology, the system by the deep content for reading IP payload package come
Application layer message in seven layer protocol of OSI is recombinated, so that the content of entire application program is obtained, it is then fixed according to system
The management strategy of justice carries out shaping operation to flow.
Embodiment one
The embodiment of the present invention provides a kind of method of analysis communication big data, as shown in Figure 1, comprising:
S101, PGW receive the source code flow generated when user terminal initiating business request.
S102, PGW identify source code flow using deep-packet detection DPI technology, obtain service feature data.
Wherein, service feature data include the classification information of business, the information and industry of the application program to match with business
Business occupied bandwidth information.
In the prior art, PGW itself has been provided with the function (business that content charging is surfed the Internet according to user of content charging
Type takes corresponding charging policy to carry out charging, such as user is when using wechat business, and campus network is 0.1 yuan/
MB), and the basis of content charging is DPI technology, and PGW can identify what business that user uses (such as from source code flow
Wechat), thus PGW equipment naturally have carry out communication big data analysis basis (communication big data analysis basis be DPI solution
Analysis, understands what business user has used).
But PGW using DPI technology is merely capable of getting the classification information that business is belonged in the prior art, and nothing
Method gets more fine-grained information.Based on this, the method for analysis communication big data provided in an embodiment of the present invention is existing
Parallel DPI unit is increased in PGW, and the mark and current main-stream search of current main-stream business are stored in the parallel DPI unit
The information of keyword.
Specifically, identified in the source code flow that PGW is received from it using parallel DPI unit the classification information of business, with
The information and bandwidth occupied by service information for the application program that business matches.
Illustratively, user A is watching video using the application program A for belonging to streaming media service, then PGW can be by obtaining
Take the source code flow of family A, the information of recognition application A and streaming media service.
S103, PGW extract service feature data to be analyzed according to preset rules from business characteristic.
S104, PGW analyze service feature data to be analyzed using preset algorithm, to generate analysis result.
Directly this is waited for point specifically, PGW after getting service feature data to be analyzed, can use default bob
The service feature data of analysis are analyzed.
Optionally, the preset algorithm in the embodiment of the present invention can be mathematical statistics algorithm, or clustering methodology,
Can also be neural network algorithm, can also for other be used for big data analysis parsers, the embodiment of the present invention to this not
Make specific limit.
It should be noted that the preset algorithm in the embodiment of the present invention can be according to the variation of the actual demand of external platform
And change.
Further, PGW can also obtain the static information of its pre-stored user terminal, such as the mark of user terminal
At least one of knowledge, the signing information of user terminal or geographical location information of user terminal, then, PGW utilize default
Algorithm analyzes the static information of service feature data and user terminal to be analyzed, to generate analysis result.
Wherein, the signing information of user terminal refers to the service type and service level information of user terminal.For example, user
The signing attribute of A is Global Link business, VIP user.
Illustratively, PGW obtains the international mobile subscriber identity that the mark of user terminal can be user terminal
(IMSI, International Mobile Subscriber Identity) is VIP use using the user of the user terminal
Family, user terminal belong to base station A.
Specifically, PGW can be by reading its packet data protocol (Packet Data Protocol, PDP) context
Information obtains the static information of user terminal.
Wherein, PDP Context preserves all information that user face carries out tunnel forwarding, the user face including RNC/GGSN
IP address, Tunnel Identifier and service quality (Quality of Service, QoS) etc..
PGW can generate more various dimensions by the static information of analysis service feature data and user terminal to be analyzed
Analysis as a result, to meet the actual demand of external platform.
Wherein, in the embodiment of the present invention PGW after getting the analysis result of multiple dimensions, can according to actual needs by
The analysis result of multiple dimensions is combined, from the result for generating external platform needs.
S105, PGW push to external platform for result is analyzed.
Method provided in an embodiment of the present invention can be applied to operator's investment and provide reference, can be used for the monitoring stream of people
Information is measured, can be also used for the application scenarios such as promotion.
The embodiment of the present invention provides a kind of method of analysis communication big data, and PGW is receiving user terminal initiation business
After the source code flow generated when request, the source code flow is identified using DPI technology, obtains service feature data, then,
PGW extracts service feature data to be analyzed according to preset rules from business characteristic, finally, PGW utilizes preset algorithm
Service feature data to be analyzed are analyzed, generate analysis as a result, and the analysis result is pushed to external platform.
PGW in the embodiment of the present invention can directly be identified and analyzed source code flow, ensure that the big number of communication
According to the real-time of analysis, meanwhile, reduce cost.
Embodiment two
The embodiment of the present invention provides a kind of PGW, which is used to execute step performed by the PGW in above method.PGW
It may include module corresponding to corresponding steps.As shown in Fig. 2, the PGW includes:
Receiving unit 10, for receiving source code flow, the source code flow generates when being user terminal initiating business request
Code stream.
Parallel deep-packet detection DPI unit 11, for being received using deep-packet detection DPI technology to the receiving unit 10
To the source code flow identified, obtain service feature data, the service feature data include business classification information,
The information and bandwidth occupied by service information of the application program to match with the business.
With the transition of time, the mobile service of mainstream is subject to variation, and then generates some new business, and the present invention is implemented
Parallel DPI unit in example has scalability, can by configuring, the modes such as patch installing are added for these new business
Recognition methods.
It should be noted that the parallel DPI unit in the embodiment of the present invention does not need external any equipment, do not need to acquire
Store equipment, it is only necessary to identify to the source code flow for flowing through PGW, i.e., not change original input relationship.
Extraction unit 12, the service feature number for being got from the parallel DPI unit 11 according to preset rules
Service feature data to be analyzed are extracted according to middle.
Big data analysis unit 13, the industry to be analyzed for being extracted using preset algorithm to the extraction unit 12
Business characteristic is analyzed, to generate analysis result.
Transmission unit 14, the analysis result for generating the big data analysis unit 13 push to exterior flat
Platform.
Further, as shown in figure 3, the PGW further includes acquiring unit 15,
The acquiring unit 15, for utilizing preset algorithm to the industry to be analyzed in the big data analysis unit 13
Business characteristic is analyzed, and to generate before analyzing result, obtains the static information of the pre-stored user terminal, institute
State the signing information of mark, the user terminal that static information includes the user terminal or the geography of the user terminal
At least one of location information.
Further, the big data analysis unit 13, specifically for utilizing preset algorithm to the business to be analyzed
The static information for the user terminal that characteristic and the acquiring unit 15 are got is analyzed, to generate analysis knot
Fruit.
It is appreciated that the PGW of the present embodiment can correspond to above-mentioned analysis communication big data as mentioned in the embodiment of figure 2
PGW in method, and the modules in the PGW of the present embodiment division and/or function etc. be for realizing such as Fig. 2 institute
The method flow shown, for sake of simplicity, details are not described herein.
Another embodiment of the present invention provides a kind of PGW.As shown in figure 4, the PGW includes interface circuit 20, processor 21, deposits
Reservoir 22 and system bus 23.It is connected between interface circuit 20, processor 21 and memory 22 by system bus 23.
When PGW operation, the PGW executes the method that analysis as mentioned in the embodiment of figure 2 communicates big data.Tool
The method of the analysis communication big data of body can be found in it is above-mentioned as Fig. 2, shown in associated description in embodiment, no longer go to live in the household of one's in-laws on getting married herein
It states.
Specifically, the processor 21 can be CPU (Central Processing Unit, central processing unit).It is described
Processor 21 can also for other general processors, DSP (Digital Signal Processing digital signal processor) or
Other programmable logic device of person or transistor logic, discrete hardware components etc..General processor can be micro process
Device or the processor are also possible to any conventional processor etc..
The processor 21 can be application specific processor, which may include baseband processing chip, at radio frequency
Manage at least one of chip etc..Further, which can also include having other dedicated processes of microwave equipment
The chip of function.
Specifically, the memory 22 may include volatile memory (English: Volatile Memory), such as RAM
(Random-access Memory, random access memory)；The memory 22 also may include nonvolatile memory (English
Text: Non-volatile Memory), for example, ROM (Read-only Memory, read-only memory), flash memory (English:
Flash Memory), HDD (Hard Disk Drive, hard disk) or SSD (Solid-State Drive, solid state hard disk)；It is described
Memory 22 can also include the combination of the memory of mentioned kind.
The system bus 23 may include data/address bus, power bus, control bus and signal condition bus etc..This reality
It applies for clear explanation in example, various buses is all illustrated as system bus 23 in Fig. 4.
It is apparent to those skilled in the art that for convenience and simplicity of description, only with above-mentioned each function
The division progress of module can according to need and for example, in practical application by above-mentioned function distribution by different function moulds
Block is completed, i.e., the internal structure of device is divided into different functional modules, to complete all or part of function described above
Energy.The specific work process of the system, apparatus, and unit of foregoing description, can be with reference to corresponding in preceding method embodiment
Journey, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the module or
The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units
Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, institute
Display or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit
Indirect coupling or communication connection can be electrical property, mechanical or other forms.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (2)
1. a kind of method of analysis communication big data characterized by comprising
PGW receives source code flow, the code stream that the source code flow generates when being user terminal initiating business request；
The PGW identifies the source code flow using deep-packet detection DPI technology, obtains service feature data, described
Service feature data include the classification information of business, the information and bandwidth occupied by service of the application program to match with the business
Information；
The PGW extracts service feature data to be analyzed according to preset rules from the service feature data；
The PGW obtains the static information of the pre-stored user terminal, and the static information includes the user terminal
At least one of mark, the signing information of the user terminal or the geographical location information of the user terminal；
The PGW analyzes the service feature data to be analyzed and the static information using preset algorithm, with life
At analysis result；
The analysis result is pushed to external platform by the PGW.
2. a kind of PGW characterized by comprising
Receiving unit, for receiving source code flow, the code stream that the source code flow generates when being user terminal initiating business request；
Parallel deep-packet detection DPI unit, described in being received using deep-packet detection DPI technology to the receiving unit
Source code flow is identified, service feature data are obtained, and the service feature data include the classification information and the industry of business
The information of application program to match of being engaged in or in bandwidth occupied by service information at least two；
Extraction unit, for being extracted from the service feature data that the parallel DPI unit is got according to preset rules
Service feature data to be analyzed；
Acquiring unit, for being divided using preset algorithm the service feature data to be analyzed in big data analysis unit
Analysis obtains the static information of the pre-stored user terminal, the static information includes institute to generate before analyzing result
It states in the geographical location information of the mark of user terminal, the signing information of the user terminal or the user terminal at least
It is a kind of；
Big data analysis unit, the service feature number to be analyzed for being extracted using preset algorithm to the extraction unit
It is analyzed according to the static information, to generate analysis result；
Transmission unit, the analysis result for generating the big data analysis unit push to external platform.
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| WO2018018572A1 (en) * | 2016-07-29 | 2018-02-01 | 华为技术有限公司 | Sample data collection method, device and system |
| CN106982253A (en) * | 2017-03-27 | 2017-07-25 | 中国联合网络通信集团有限公司 | A kind of user's portrait analysis method and device, network system |
| CN110020037A (en) * | 2017-07-27 | 2019-07-16 | 中国电信股份有限公司 | Using feature library generating method and device |
| CN111275453A (en) * | 2018-12-03 | 2020-06-12 | 中国移动通信集团上海有限公司 | Industry identification method and system of Internet of things equipment |
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