CN108200586B - Method and system for mobile network aware data association - Google Patents
Method and system for mobile network aware data association Download PDFInfo
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- CN108200586B CN108200586B CN201611119188.7A CN201611119188A CN108200586B CN 108200586 B CN108200586 B CN 108200586B CN 201611119188 A CN201611119188 A CN 201611119188A CN 108200586 B CN108200586 B CN 108200586B
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Abstract
The invention discloses a method and a system for mobile network perception data association, and relates to the technical field of communication. The method comprises the following steps: the sensing application unit generates a feature code when initiating a test; the perception application unit and the deep packet detection unit respectively collect perception data, and the deep packet detection unit also collects feature codes; the perception application unit sends the collected perception data and the generated feature codes to the association analysis unit, and the deep packet detection unit sends the collected perception data and the feature codes to the association analysis unit; and the association analysis unit judges whether the feature code generated by the perception application unit is the same as the feature code acquired by the deep packet detection unit, and if so, associates the perception data acquired by the perception application unit with the perception data acquired by the deep packet detection unit. The invention can improve the association efficiency and accuracy of the mobile network perception data.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and a system for mobile network aware data association.
Background
Currently, in a mobile network service awareness system, awareness data is collected through two modes, namely APP (application) and DPI (Deep Packet Inspection). When a user initiates a test through a mobile phone terminal perception test APP, perception KQI (Key Quality Indicators) data can be collected at the APP and the DPI at the same time, and preliminary delimitation of the Quality difference problem can be realized through associating the APP and the DPI data.
In the existing method, quintuple is gradually judged by using sample test time, an International Mobile Subscriber Identity (IMSI) field, a Uniform Resource Locator (URL) and an Internet Protocol (IP), so as to realize association between APP and DPI sensing data.
The above technique has the following problems: 1. the existing method for associating time, IMSI field, URL and IP quintuple needs to compare a plurality of fields in the process of big data, and has the conditions of low analysis efficiency and high resource occupation; 2. due to the fact that clocks are asynchronous caused by the terminal, the same test records are caused, errors exist in the test sample time recorded by the APP and the DPI, and the correlation precision is reduced.
Disclosure of Invention
The inventors of the present invention have found that there are problems in the above-mentioned prior art, and thus have proposed a new technical solution to at least one of the problems.
According to a first aspect of the present invention, there is provided a method for mobile network aware data association, comprising: the sensing application unit generates a feature code when initiating a test; the perception application unit and the deep packet detection unit respectively collect perception data, and the deep packet detection unit also collects the feature codes; the perception application unit sends the collected perception data and the generated feature codes to the association analysis unit, and the deep packet detection unit sends the collected perception data and the feature codes to the association analysis unit; and the association analysis unit judges whether the feature code generated by the perception application unit is the same as the feature code acquired by the deep packet detection unit, and if so, associates the perception data acquired by the perception application unit with the perception data acquired by the deep packet detection unit.
In one embodiment, the perceptual application unit comprises a feature code generation module; the step of generating the signature by the perceptual application unit when initiating the test comprises: and when the perception application unit initiates a test, the feature code generation module generates a feature code.
In one embodiment, the step of the deep packet inspection unit further acquiring the feature code includes: the sensing application unit adds the feature code in a field of a request message when initiating a test request, and sends the request message to a network element of a core network; and the deep packet inspection unit acquires the feature code in the field when the request packet is detected from the network element.
In one embodiment, the step of adding the feature code in a field of a request message when the sensing application unit initiates a test request includes: and the sensing application unit adds the feature code in a user agent field of an HTTP request message when initiating a webpage test request.
In one embodiment, wherein the feature code is a unique feature code; the perception data includes: the KQI data is perceived.
The method of the invention can improve the association efficiency and accuracy of the mobile network perception data.
According to a second aspect of the present invention, there is provided a system for mobile network aware data association, comprising: the perception application unit is used for generating a feature code and acquiring perception data when a test is initiated, and sending the acquired perception data and the generated feature code to the association analysis unit; the deep packet detection unit is used for acquiring the sensing data and the feature codes and sending the acquired sensing data and the feature codes to the association analysis unit; and the association analysis unit is used for judging whether the feature code generated by the perception application unit is the same as the feature code acquired by the deep packet detection unit, and if so, associating the perception data acquired by the perception application unit with the perception data acquired by the deep packet detection unit.
In one embodiment, the perceptual application unit comprises a feature code generation module; when the perception application unit initiates a test, the feature code generation module generates a feature code.
In one embodiment, the sensing application unit is configured to add the feature code to a field of a request packet when initiating a test request, and send the request packet to a network element of a core network; the deep packet inspection unit is configured to obtain the feature code in the field when the request packet is detected from the network element.
In one embodiment, the sensing application unit adds the feature code to a user agent field of an HTTP request message when initiating a web page test request.
In one embodiment, wherein the feature code is a unique feature code; the perception data includes: the KQI data is perceived.
The system of the invention can improve the association efficiency and accuracy of the mobile network perception data.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
The invention will be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 is a flow diagram illustrating a method for mobile network aware data association according to one embodiment of the present invention.
Fig. 2 is a block diagram schematically illustrating a system for mobile network aware data association according to one embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a flow diagram illustrating a method for mobile network aware data association according to one embodiment of the present invention.
At step S11, the aware application unit generates a signature when initiating a test. For example, the signature may be a unique signature.
In one embodiment, the aware application unit includes a feature code generation module. The step S11 may include: when the sensing application unit initiates a test, the feature code generation module generates a feature code.
In step S12, the perception application unit and the deep packet inspection unit (DPI unit) respectively collect perception data, and the deep packet inspection unit also collects the feature code. For example, a sensing application unit initiates a test, the sensing application unit and the deep packet inspection unit respectively acquire sensing data, and the deep packet inspection unit also acquires feature codes. For example, the perception data may include: the KQI data is perceived.
In one embodiment, the step of the deep packet inspection unit further acquiring the feature code may include: the sensing application unit adds a feature code in a field of a request message when initiating a test request and sends the request message to a network element of a core network; and the deep packet inspection unit acquires the feature code in the field when the request message is detected from the network element.
Taking a web page as an example, the step of adding the feature code in the field of the request message when the sensing application unit initiates the test request may include: the sensing application unit adds feature codes in a user agent field of an HTTP (Hyper Text Transport Protocol) request message when initiating a webpage test request.
In step S13, the perception application unit sends the collected perception data and the generated feature code to the association analysis unit, and the deep packet inspection unit sends the collected perception data and the feature code to the association analysis unit. For example, the sensing application unit and the deep packet inspection unit may periodically transmit the collected sensing data (e.g., sensing KQI data) and the feature code to the association analysis unit.
In step S14, the association analysis unit determines whether the feature code generated by the sensing application unit is the same as the feature code acquired by the deep packet inspection unit. Namely, the correlation analysis unit compares the feature codes in the data of the perception application unit and the deep packet inspection unit and judges whether the two feature codes are the same. If so (i.e., identical), the process proceeds to step S15, otherwise (i.e., not identical)
The process advances to step S16.
At step S15, the perception data is correlated. Namely, the perception data collected by the perception application unit is associated with the perception data collected by the deep packet detection unit.
At step S16, the perception data is not associated. Namely, the sensing data collected by the sensing application unit cannot be associated with the sensing data collected by the deep packet inspection unit.
In the above embodiment, when the sensing application unit initiates a test, the sensing application unit generates the feature code, so that the feature code is added in the test, and both the sensing application unit and the deep packet inspection unit can obtain the feature code when acquiring sensing data (after the sensing application unit generates the feature code, the feature code is sent to the core network, and the deep packet inspection unit acquires the feature code from the core network), and then the correlation of the sensing data can be realized by comparing the feature code. The method of the embodiment of the invention can improve the association efficiency and precision of the mobile network perception data, for example, can realize hundred-percent accurate and rapid association, and lays a foundation for realizing perception quality difference positioning and positioning.
Fig. 2 is a block diagram schematically illustrating a system for mobile network aware data association according to one embodiment of the present invention.
As shown in fig. 2, the system 20 for mobile network aware data association may include: a perception application unit 21, a deep packet detection unit 22 and an association analysis unit 23. For illustrative purposes, the core network 30, the network elements 301 and the internet 40 are also shown in fig. 2.
The perception application unit 21 may be configured to generate a feature code and collect perception data when initiating a test, and send the collected perception data and the generated feature code to the association analysis unit 23.
The deep packet inspection unit 22 may be configured to collect the sensing data and the feature codes, and send the collected sensing data and the feature codes to the association analysis unit 23.
The association analysis unit 23 may be configured to determine whether the feature code generated by the sensing application unit 21 is the same as the feature code acquired by the deep packet inspection unit 22, and if the feature code generated by the sensing application unit 21 is the same as the feature code acquired by the deep packet inspection unit 22, associate the sensing data acquired by the sensing application unit 21 with the sensing data acquired by the deep packet inspection unit 22. If not, the sensing data collected by the sensing application unit 21 and the sensing data collected by the deep packet inspection unit 22 cannot be associated.
In the system, when the sensing application unit initiates a test, the feature code can be added in the test, so that the sensing application unit and the deep packet detection unit can both collect and record, and efficient and accurate association of sensing data can be realized only by comparing the feature code field during association, thereby laying a foundation for realizing sensing quality difference positioning.
In one embodiment, the signature may be a unique signature. The perception data may include: the KQI data is perceived.
In one embodiment, as shown in fig. 2, the perception application unit 21 may include a feature code generation module 211. Wherein, when the sensing application unit initiates the test, the feature code generating module 211 generates the feature code. In the embodiment, only one feature code generation module needs to be added, so that the method can be realized by modifying and updating the perception APP test software in the software layer, and the embodiment of the invention is simple to implement and easy to operate.
In one embodiment, the sensing application unit 21 may be configured to add a feature code to a field of a request message when initiating a test request, and send the request message to the network element 301 of the core network 30. For example, the aware application unit 21 adds the feature code in the user agent field of the HTTP request message when initiating a web page test request (e.g., accessing the internet 40). The aware application unit 21 may then send the request message to the internet 40 via, for example, a base station (not shown in the figure), a network element (e.g., an SGW (Serving GateWay) or a PGW (PDN GateWay)) 301 of the core network 30, and the like, and may finally send the request message to the association analysis unit 23.
In an embodiment, the deep packet inspection unit 22 may be configured to obtain the feature code in the field when the request packet is detected from the network element 301. In one embodiment, the deep packet inspection unit 22 may collect and store data from different device interfaces through its included probes. For example, the deep packet inspection unit may collect the sensing data and the feature codes in the request message from the signaling plane interface and the user plane interface, respectively.
The invention can improve the association efficiency and precision of the mobile network perception data, for example, hundred-percent accurate and rapid association can be realized, and a foundation is laid for realizing perception quality difference positioning.
Thus far, the present invention has been described in detail. Some details well known in the art have not been described in order to avoid obscuring the concepts of the present invention. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented in software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustrative purposes only, and the steps of the method of the present invention are not limited to the order specifically described above unless specifically indicated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
Although some specific embodiments of the present invention have been described in detail by way of illustration, it should be understood by those skilled in the art that the above illustration is only for the purpose of illustration and is not intended to limit the scope of the invention. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (8)
1. A method for mobile network aware data association, comprising:
the sensing application unit generates a feature code when initiating a test;
the perception application unit and the deep packet detection unit respectively collect perception data, and the deep packet detection unit also collects the feature codes;
the perception application unit sends the collected perception data and the generated feature codes to the association analysis unit, and the deep packet detection unit sends the collected perception data and the feature codes to the association analysis unit; and
the association analysis unit judges whether the feature code generated by the perception application unit is the same as the feature code acquired by the deep packet detection unit, and if so, associates the perception data acquired by the perception application unit with the perception data acquired by the deep packet detection unit;
wherein, the step of the deep packet inspection unit further collecting the feature code comprises: the sensing application unit adds the feature code in a field of a request message when initiating a test request, and sends the request message to a network element of a core network; and the deep packet inspection unit acquires the feature code in the field when the request packet is detected from the network element.
2. The method of claim 1,
the perception application unit comprises a feature code generation module;
the step of generating the signature by the perceptual application unit when initiating the test comprises: and when the perception application unit initiates a test, the feature code generation module generates a feature code.
3. The method of claim 1, wherein the step of adding the feature code in a field of a request message by the aware application unit when initiating a test request comprises:
and the sensing application unit adds the feature code in a user agent Useragent field of a hypertext transfer protocol (HTTP) request message when initiating a webpage test request.
4. The method of claim 1,
wherein the feature code is a unique feature code;
the perception data includes: and sensing the KQI data.
5. A system for mobile network aware data association, comprising:
the perception application unit is used for generating a feature code and acquiring perception data when a test is initiated, and sending the acquired perception data and the generated feature code to the association analysis unit;
the deep packet detection unit is used for acquiring the sensing data and the feature codes and sending the acquired sensing data and the feature codes to the association analysis unit; and
the association analysis unit is used for judging whether the feature codes generated by the perception application unit are the same as the feature codes acquired by the deep packet detection unit, and if so, associating the perception data acquired by the perception application unit with the perception data acquired by the deep packet detection unit;
the sensing application unit is used for adding the feature code in a field of a request message when a test request is initiated and sending the request message to a network element of a core network; the deep packet inspection unit is configured to obtain the feature code in the field when the request packet is detected from the network element.
6. The system of claim 5,
the perception application unit comprises a feature code generation module;
when the perception application unit initiates a test, the feature code generation module generates a feature code.
7. The system of claim 5,
and the sensing application unit adds the feature code in a user agent field of an HTTP request message when initiating a webpage test request.
8. The system of claim 5,
wherein the feature code is a unique feature code;
the perception data includes: the KQI data is perceived.
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| WO2023060408A1 (en) * | 2021-10-11 | 2023-04-20 | Oppo广东移动通信有限公司 | Sensing data collection method and apparatus, and device, system and storage medium |
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