CN101754253A - General packet radio service (GPRS) end-to-end performance analysis method and system - Google Patents
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Abstract
The invention relates to the technical field of wireless and data services, in particular to a general packet radio service (GPRS) end-to-end performance analysis method. The method comprises the steps of data acquisition, protocol analysis and correlation analysis. A GPRS end-to-end performance analysis system comprises a Gb data acquisition front-end computer, a Gn and Gi data acquisition front-end computer, a G-miniature data acquisition system (MDAS) client, a G-MDAS system server and a multi-interface correlation analysis module. The invention provides the whole course of end-to-end correlation analysis, has high data correlation and strong analysis capacity, provides a reference for whole-course optimization, makes a compromise on individual difficult problem processing and a large number of common user data, perfects a user complain processing means, can accomplish the performance analysis from a cell level to a GPRS core network and provides a reference for the system optimization.
Description
Technical Field
The invention relates to the field of mobile communication, in particular to a GPRS end-to-end performance analysis method and a GPRS end-to-end performance analysis system.
Background
With the development of social economy, the GPRS service is being used by more and more users, and with the increase of the complaint amount, the demands for handling and fault analysis and network performance analysis of the complaint are more and more urgent.
Some monitoring systems are available to perform some of the functions, and chinese patent application No. 200710169015.0 discloses a method and a centralized processing system for handling GPRS user complaints. The system is a GPRS user complaint processing method and a GPRS user complaint centralized processing system applying the method. The proposal of the method for processing the complaints of the GPRS user is that the relevant information of the user service is extracted from the GPRS system according to the international mobile subscriber identity IMSI (international mobile subscriber identity) of the complaint user, and the reason of the user service failure is obtained from the information, and the relevant information of the user service comprises the following four aspects: searching a service fault LOG file, which is usually a record of some completed processing by a system or some software so as to be used as a reference in the future, analyzing the service fault LOG and presenting a service fault reason; checking the current registration condition of the user on the GPRS system and giving a result of whether the registration is normal or not; inquiring a ticket of a fault time period, and analyzing the content of the ticket; and tracking the complaint user, and acquiring GPRS service path information of the user and a tracking service failure reason.
The existing performance monitoring and analyzing system has the following defects:
the system can not track the end-to-end flow of the daily end-to-end network optimization test, can only carry out relatively rough query to obtain the main events of the user, and is difficult to effectively help to locate the problem.
The wireless network air interface has great instability in nature, so that the wireless network air interface is always the key point of traditional network optimization, but with the development of wireless data services, the effect of simply optimizing the air interface is often difficult to achieve. The wireless data service involves many interfaces and equipment, and has a complex flow, and a packet control unit PCU, which is a new standard of global System for mobile communications (gsm), performs some processing tasks of a Base Station Controller (BSC), but is directed to packet data. The configuration of the channels between voice and data is controlled by the base station, but once a channel is allocated to the PCU, the PCU will have full control of the channel. The PCU can be embedded in the base Station, in the base Station controller bsc (base Station controller), or even in some proposed architectures, it can be located in the SGSN, core network, SP, etc. with some instability. End-to-end business testing that simulates customer behavior is therefore an important means of maintaining the network on a daily basis and understanding the user experience.
At present, a great deal of content Distribution service (cds) drive test software is used in data network optimization, which can perform end-to-end service simulation and obtain detailed information of an air interface at the same time, but cannot obtain information of a wired interface, so that when some problems are encountered, a problem point cannot be accurately judged from air interface information alone. If all protocol signaling information of the user of the Gb interface and the Gn interface can be obtained while the drive test is carried out, great help is brought to the problem positioning.
The current signaling monitoring system is difficult to undertake this task for the following reasons:
protocol reservation incomplete: since the system needs to keep records for a long time, so that historical data can be conveniently inquired, the total keeping of collected data is difficult to bear in terms of system cost and system efficiency. Therefore, the general signaling monitoring system only keeps the main signaling process and discards a large amount of detail information. But this detailed information is very important for the in-depth analysis of the problem.
The functional positioning is different: the signaling monitoring system is mainly used for the statistics of user complaints and main service indexes, so that a large amount of sorting analysis is carried out on the collected data, the reserved result is not the original condition of each interface, but for problem analysis, the actual condition of actually re-interfacing as much as possible is very important.
No tools for association checking: because the drive test tool and the signaling monitoring system belong to different manufacturers, no tool can combine and check data from different sources at present.
The current signaling monitoring system mainly focuses on the analysis of the whole service, and lacks the service performance quality analysis function for the cell level, while the cell optimization is the important content of the network optimization, and the cell resource allocation is also the important factor influencing the service quality, so the obtaining of the cell level information has important significance for improving the network quality.
For the reason of system positioning, the existing system mainly carries out synthesis and analysis of Call Detail Record (CDR) according to the key words of protocol or message, only basic business flow information is reserved for individual users, the system cannot completely restore the real business details of customers, and some in-depth problem analysis cannot be carried out. Especially for some repeat complaints users, there is a lack of means to accurately analyze the problem.
Disclosure of Invention
The invention aims to provide a GPRS end-to-end performance analysis system and a GPRS end-to-end performance analysis method, which avoid the defects of the prior art.
In order to achieve the above object, the present invention provides a GPRS end-to-end performance analysis method, which comprises the following steps:
step 1: data acquisition, namely acquiring user data meeting conditions on interfaces Gb, Gn, Gi and Um;
step 2: protocol analysis, namely analyzing the acquired Gb, Gn, Gi and Um interface data layer by layer according to respective protocol types; then according to the protocol and key parameters of the message, the user data related to the specific user service is synthesized;
and step 3: correlation analysis-a correlation analysis is performed on the data after the protocol analysis according to the specific user information.
Further, the step 2 further comprises: and classifying the user data synthesized after the protocol analysis according to the user information or the service type, and storing the user data in a database.
Further, the step 3 further comprises: and storing the user data subjected to the correlation analysis in a database.
Further, the process synthesis in the step 2 comprises the following specific steps: synthesizing the service flow of the user according to the IMSI and the service key parameters, simulating the whole signaling and service processing flow, restoring all the signaling and service processing flows, and finally obtaining relevant service process information.
Further, the association analysis in step 3 specifically includes: correlating and analyzing data packets between different interfaces of the same user; or, the processes of different services of the same user are synthesized, associated and analyzed.
Further, the specific steps of associating and analyzing the data packets between different interfaces of the same user are as follows:
analyzing original IP data or signaling of a user by data in different interfaces;
processing the IP data, and extracting characteristic fingerprints of the IP data, wherein the characteristic fingerprints comprise source and destination IP addresses, source and destination port numbers, IP IDs (identity) and Payload contents and sizes;
and then searching in different interfaces to realize the accurate matching of the IP data or the signaling.
Further, the specific steps of synthesizing, associating and analyzing different business processes of the same user are as follows:
restoring service requests of users from different interfaces;
merging the same service in different interfaces according to the key characteristics corresponding to each service, thereby obtaining the stream situation of the same service in different interfaces;
and finding out the node with failed service by comparing and analyzing the service conditions in different interfaces.
Further, it is characterized in that: the step 2 further includes performing cell-based service analysis on the user data acquired by the Gb interface, and the specific steps are:
obtaining the service type used by the user according to the message identification of the relevant protocol in the data analysis;
obtaining a cell where a user is located according to the LAC and CellID identification of the user in the relevant protocol during data analysis;
and carrying out cell-based service statistics on the data.
Further, the method for acquiring the Um interface user data in step 1 comprises: in data acquisition of a Um interface, after a user sets a data end-to-end test item and a data dial test task, a CDS executes automatic related tests, stores related data as a log file of the CDS, and uploads the log file to a data storage server.
Further, the method for acquiring the Gb interface data in step 1 includes: and acquiring data of the Gb interface of a common user or acquiring data of the Gb interface of a special user.
For ordinary users, the users are all-network users: collecting all Gb interface data information, performing protocol analysis in a system server, filtering key information needed by complaint handling personnel, storing the key information as an LOG file at regular time, and uploading the LOG file to a data storage server;
or,
for a particular user: for special users, generally users who repeatedly have difficult complaints or CDS for network optimization analysis, the user data to be filtered is specified in advance according to IMSI, all the user data meeting the conditions on the interface, including signaling and data, are collected and stored as LOG files at regular time, and then are uploaded to a data storage server.
Further, the method for acquiring Gn and Gi interface data in step 1 comprises: and acquiring data of the Gn and Gi interfaces of the common users or acquiring data of the Gn and Gi interfaces of the special users.
For a normal user: collecting Gn and Gi interface data information, performing protocol analysis in a system server, filtering key information (such as MSISDN, IMSI, IMEI, url, APN, port and the like) needed by complaint handling personnel, storing the filtered key information as a LOG file at regular time, and uploading the LOG file to a data storage server;
or,
for a particular user: and specifying user data to be filtered according to the IMSI in advance, collecting all user data meeting the conditions on the interface, including signaling and data, storing the user data as a LOG file at regular time, and uploading the LOG file to a data storage server.
Further, the data acquisition of the Gn interface and the Gi interface is realized by mirroring and aggregation of the switches.
The invention also provides a GPRS end-to-end performance analysis system, which comprises:
the Gb data acquisition front-end machine is used for acquiring Gb interface data;
the Gn and Gi data acquisition front-end machine is used for acquiring Gn and Gi interface data;
the system comprises a G-MDAS system client, a drive test data acquisition CDS and a data processing module, wherein the G-MDAS system client is connected with the CDS and is used for acquiring Um interface data;
the G-MDAS system server is used for carrying out convergence processing on the collected Gb, Gn and Gi interface data, then carrying out data analysis according to key user information and storing the merged data; and the multi-interface association analysis module is used for filtering and extracting the Gb, Gn, Gi and Um interface data stored on the G-MDAS system server according to the key user information and carrying out association analysis.
In the system, the multi-interface correlation analysis module is arranged on a client of the G-MDAS system.
The invention has the beneficial effects that: the system makes up the defect that the existing gprs monitoring and analyzing system can only record and analyze partial flows of the service used by the user, can present the whole process of the end-to-end service using flow of the user, helps maintenance personnel to accurately position the problem, provides end-to-end whole-course correlation analysis, has high data correlation and strong analysis capability, and provides a reference basis for whole-course optimization; the invention gives consideration to individual problem processing and a large amount of common data of users, and perfects the means of processing complaints of the users; the invention can complete the performance analysis from the cell level to the GPRS core network, and provides a basis for system optimization.
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FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a business flow diagram of the present invention;
fig. 3 is a system device connection flow chart of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Embodiment 1 is an embodiment of a GPRS end-to-end performance analysis method according to the present invention, and includes the following steps (see fig. 1):
step 1: data acquisition, namely acquiring user data meeting conditions on interfaces Gb, Gn, Gi and Um; the method for acquiring the user data of the Um interface comprises the following steps: in data acquisition of a Um interface, after a user sets a data end-to-end test item and a data dial test task, a CDS executes automatic related tests, stores related data as a log file of the CDS, and uploads the log file to a data storage server. The method for acquiring the Gb interface data of the common user comprises the following steps: and for the common user, namely the all-network user, all the Gb interface data information is collected, after protocol analysis is carried out in a system server, the key information required by complaint handling personnel is filtered and stored as a LOG file at regular time, and then the LOG file is uploaded to a data storage server. For the data acquisition of Gn and Gi interfaces of common users: collecting Gn and Gi interface data information, performing protocol analysis in a system server, filtering key information (such as MSISDN, IMSI, IMEI, url, APN, port and the like) needed by complaint handling personnel, storing the filtered key information as a LOG file at regular time, and uploading the LOG file to a data storage server; and data acquisition of the Gn interface and the Gi interface is realized after mirroring and aggregation of the switches.
Step 2: protocol analysis, namely analyzing the acquired Gb, Gn, Gi and Um interface data layer by layer according to respective protocol types; then according to the protocol and key parameters of the message, the user data related to the specific user service is synthesized; in the synthesis of the signaling process and the service process, the system analyzes the collected uplink/downlink signaling and protocol according to the protocol specification and creates a corresponding protocol state machine, wherein the state machine analyzes the data according to the protocol format and then synthesizes the service flow of the user according to the IMSI and the service key parameters, thereby preparing for synthesizing and displaying the whole data interaction process of a plurality of interfaces of each user in the service operation process. On one hand, the step is the filtration of key user data, and all process data of the key users are filtered out from all data in each interface according to the IMSI. On the other hand, the filtered data of each key user is accurately compared with multiple interfaces according to the time stamp and the special words, then the filtered data of each key user is subjected to protocol analysis, and business process synthesis is carried out according to the protocol and the key parameters of the message. Synthesizing the service flow of the user according to the IMSI and the service key parameters, simulating the whole signaling and service processing flow, restoring all the signaling and service processing flows, and finally obtaining relevant service process information. And classifying the user data synthesized after the protocol analysis according to the user information or the service type, and storing the user data in a database.
And step 3: and (4) correlation analysis, namely performing correlation analysis on the data after the protocol analysis according to specific user information. The method is used for correlating and analyzing data packets between different interfaces of the same user, and comprises the following specific steps: analyzing original IP data or signaling of a user by data in different interfaces; processing the IP data, and extracting characteristic fingerprints of the IP data, wherein the characteristic fingerprints comprise source and destination IP addresses, source and destination port numbers, IP IDs (identity) and Payload contents and sizes; and then searching in different interfaces to realize the accurate matching of the IP data or the signaling. Therefore, the accurate association of the same data in different network interfaces is realized, the node with network fault can be positioned, the error reason of the user service process is found, and the network blocking bottleneck is found. And finally, storing the user data subjected to the correlation analysis in a database.
Example 2: the method is the same as the embodiment 1, except that the method for acquiring the Gb interface data of the special user comprises the following steps: for special users, generally users who repeatedly have difficult complaints or CDS for network optimization analysis, the user data to be filtered is specified in advance according to IMSI, all the user data meeting the conditions on the interface, including signaling and data, are collected and stored as LOG files at regular time, and then are uploaded to a data storage server.
Example 3: the same as in example 1, except for the data acquisition for the Gn, Gi interface of the particular user: for special users (such as users who repeatedly have difficult complaints, CDS for network optimization analysis and the like), user data to be filtered is specified in advance according to the IMSI, all user data meeting conditions on the interface, including signaling and data, are collected and stored as LOG files regularly, and then are uploaded to a data storage server.
Example 4: the same as the embodiment 1, except that the step 3 is a specific step of synthesizing, associating and analyzing different business processes of the same user, and comprises the following steps: restoring service requests of users from different interfaces; merging the same service in different interfaces according to the key characteristics corresponding to each service, thereby obtaining the stream situation of the same service in different interfaces; and finding out the node with failed service by comparing and analyzing the service conditions in different interfaces.
Example 5: the same as embodiment 1, except that the step 2 further includes performing cell-based service analysis on the user data acquired by the Gb interface, and the specific steps include:
obtaining the service type used by the user according to the message identification of the relevant protocol in the data analysis;
obtaining a cell where a user is located according to the LAC and CellID identification of the user in the relevant protocol during data analysis;
and carrying out cell-based service statistics on the data.
Through protocol analysis and service statistics, service flow in each cell and service flow distribution according to time can be obtained. Protocol error statistics can be obtained according to comparative analysis of Payload of the same data packet in different interfaces.
Through the service type identification field, each service type used by each cell user, the occupied quantity and the occupied ratio can be obtained.
The percentage ratio of various service failures or various error reasons can be obtained through the service type identification, the service state and the response result value of each service response message.
Example 6: and carrying out complaint forwarding on complaints of common users.
Step 1: data acquisition-all user data on Gb, Gn and Gi interfaces (the Gn interface is optional and the Gb and Gi can be selected according to implementation conditions) are acquired.
Step 2: protocol analysis and information extraction, namely analyzing the acquired interface data layer by layer according to respective protocol types; the subscriber data associated with a particular subscriber service is then procedurally synthesized based on the protocol and key parameters of the message. And filtering and extracting key information commonly used in the complaint handling process in the user data, and storing the key information in a database (storing records for 1 month or more as required).
And step 3: and complaint forwarding-complaint handling personnel carry out complaint handling according to key information of the service use process of the common user in the database.
Fig. 2 is a diagram showing a structure of a GPRS end-to-end performance analysis system according to the present invention, which includes:
and the Gb data acquisition front-end machine is used for acquiring the Gb interface data and mainly acquires the data through an E1 card integrated in the Gb data acquisition front-end machine.
The Gn and Gi data acquisition front-end machine and the switchboard are used for acquiring Gn and Gi interface data, mirror images are put into the switchboard and the Gn and Gi interface data are collected in a gathering way mainly through an Ethernet gigabit card and the switchboard which are integrated in the Gn and Gi data acquisition front-end machine.
And the G-MDAS system client is connected with the drive test data acquisition CDS and used for acquiring Um interface data and acquiring test data of a Um air interface mainly through CDS5.0 software. Besides the function of completing the service dial test of the Um interface, simultaneously filtering and extracting the signaling and data of key users in different interfaces (Um, Gb, Gn and Gi), and carrying out correlation analysis to find the success rate and failure reason of the data service of the key users; in addition, analysis and analysis of all user signaling and data of the Gb interface are realized, and functions of KPI (Key performance indicator) statistics, time delay statistics, performance index statistics and the like of the signaling and service data of the user are provided.
The G-MDAS system server is used for carrying out convergence processing on the collected Gb, Gn and Gi interface data, then carrying out data analysis according to key user information and storing the merged data;
and the multi-interface association analysis module is used for filtering and extracting the Gb, Gn, Gi and Um interface data stored on the G-MDAS system server according to the key user information and carrying out association analysis.
The multi-interface correlation analysis module is arranged on a G-MDAS system client. The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (14)
1. A GPRS end-to-end performance analysis method comprises the following steps:
step 1: data acquisition, namely acquiring user data meeting conditions on Gb, Gn, Gi and Um interfaces;
step 2: protocol analysis, namely analyzing the acquired Gb, Gn, Gi and Um interface data layer by layer according to respective protocol types; then according to the protocol and key parameters of the message, the user data related to the specific user service is synthesized;
and step 3: correlation analysis-according to specific user information, correlation analysis is carried out on the data after protocol analysis.
2. The analytical method of claim 1, wherein: the step 2 further comprises the following steps: and classifying the user data synthesized after the protocol analysis according to the user information or the service type, and storing the user data in a database.
3. The analytical method of claim 1, wherein: the step 3 further comprises the following steps: and storing the user data subjected to the correlation analysis in a database.
4. The assay of claim 1, 2 or 3, wherein: the process synthesis in the step 2 comprises the following specific steps: synthesizing the service flow of the user according to the IMSI and the service key parameters, simulating the whole signaling and service processing flow, restoring all the signaling and service processing flows, and finally obtaining relevant service process information.
5. The assay of claim 1, 2 or 3, wherein: the association analysis in step 3 specifically includes: correlating and analyzing data packets between different interfaces of the same user; or, the processes of different services of the same user are synthesized, associated and analyzed.
6. The analytical method of claim 5, wherein: the specific steps of the association and analysis of the data packets between different interfaces of the same user are as follows:
analyzing original IP data or signaling of a user by data in different interfaces;
processing the IP data, and extracting characteristic fingerprints of the IP data, wherein the characteristic fingerprints comprise source and destination IP addresses, source and destination port numbers, IP IDs (identity) and Payload contents and sizes;
and then searching in different interfaces to realize the accurate matching of the IP data or the signaling.
7. The analytical method of claim 5, wherein: the specific steps of synthesizing, correlating and analyzing different business processes of the same user are as follows:
restoring service requests of users from different interfaces;
merging the same service in different interfaces according to the key characteristics corresponding to each service, thereby obtaining the stream situation of the same service in different interfaces;
and finding out the node with failed service by comparing and analyzing the service conditions in different interfaces.
8. The assay of claim 1, 2 or 3, wherein: the step 2 further includes performing cell-based service analysis on the user data acquired by the Gb interface, and the specific steps are:
obtaining the service type used by the user according to the message identification of the relevant protocol in the data analysis;
obtaining a cell where a user is located according to the LAC and CellID identification of the user in the relevant protocol during data analysis;
and carrying out cell-based service statistics on the data.
9. The assay of claim 1, 2 or 3, wherein: the method for acquiring the user data of the Um interface in the step 1 comprises the following steps: in data acquisition of a Um interface, after a user sets a data end-to-end test item and a data dial test task, a CDS executes automatic related tests, stores related data as a log file of the CDS, and uploads the log file to a data storage server.
10. The assay of claim 1, 2 or 3, wherein: the method for acquiring the Gb interface data in the step 1 comprises the following steps:
for a normal user: collecting all Gb interface data information, performing protocol analysis in a system server, filtering key information needed by complaint handling personnel, storing the key information as an LOG file at regular time, and uploading the LOG file to a data storage;
or,
for a particular user: and specifying user data to be filtered according to the IMSI in advance, collecting all user data meeting the conditions on the interface, including signaling and data, storing the user data as a LOG file at regular time, and uploading the LOG file to a data storage server.
11. The assay of claim 1, 2 or 3, wherein: the method for acquiring Gn and Gi interface data in the step 1 comprises the following steps:
for a normal user: collecting Gn and Gi interface data information, performing protocol analysis in a system server, filtering key information needed by complaint handling personnel, storing the filtered key information as an LOG file at regular time, and uploading the LOG file to a data storage server;
or,
for a particular user: and specifying user data to be filtered according to the IMSI in advance, collecting all user data meeting the conditions on the interface, including signaling and data, storing the user data as a LOG file at regular time, and uploading the LOG file to a data storage server.
12. The assay of claim 1, 2 or 3, wherein: and data acquisition of the Gn interface and the Gi interface is realized after mirroring and aggregation of the switches.
13. A GPRS end-to-end performance analysis system, comprising:
the Gb data acquisition front-end machine is used for acquiring Gb interface data;
the Gn and Gi data acquisition front-end machine is used for acquiring Gn and Gi interface data;
the system comprises a G-MDAS system client, a drive test data acquisition CDS and a data processing module, wherein the G-MDAS system client is connected with the CDS and is used for acquiring Um interface data;
the G-MDAS system server is used for carrying out convergence processing on the collected Gb, Gn and Gi interface data, then carrying out data analysis according to key user information and storing the merged data;
and the multi-interface association analysis module is used for filtering and extracting the Gb, Gn, Gi and Um interface data stored on the G-MDAS system server according to the key user information and carrying out association analysis.
14. The system of claim 13, wherein the multi-interface association analysis module is disposed on a G-MDAS system client.
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| CN102056196A (en) * | 2011-01-27 | 2011-05-11 | 大唐移动通信设备有限公司 | Method and device for outputting network service quality parameters |
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Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN100486250C (en) * | 2005-07-20 | 2009-05-06 | 中国移动通信集团公司 | Multiple interface multiple protocol detecting method based on WAP/MMS service |
| US7680482B2 (en) * | 2006-07-13 | 2010-03-16 | Motorola, Inc. | Method and apparatus for session tracing and session logging in a peer-to-peer communication environment |
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