WO2012010090A1

WO2012010090A1 - Method and apparatus for tracing user-based random report signalling

Info

Publication number: WO2012010090A1
Application number: PCT/CN2011/077373
Authority: WO
Inventors: 姚尧; 付云路
Original assignee: 中兴通讯股份有限公司
Priority date: 2010-07-20
Filing date: 2011-07-20
Publication date: 2012-01-26
Also published as: CN101917699A; CN101917699B

Abstract

The present invention provides a method for tracing user-based random report signalling, which method comprises: creating a random user queue when a random user tracing request is received from a tracing client; receiving signal tracing data and acquiring a user identifier in the signal tracing data; reporting the signal tracing data to the tracing client if the user identifier exists in the random user queue; and adding the user identifier into the random user queue and reporting the signal tracing data to the tracing client if the user identifier does not exist in the random user queue and the random user queue has not reached a capacity limit. The present invention further provides an apparatus for tracing user-based random report signals. In the present invention, a random user queue is introduced, so that provided that it makes full use of system resources, user signalling data under various scenarios are collected to the maximum extent and reported to the tracing client.

Description

User-based random report signaling tracking method and device

Technical field

The present invention relates to a mobile communication network, and more particularly to a method and apparatus for performing user-based random report signaling tracking processing on a mobile communication network.

Background technique

Signaling tracking is the most effective fault location and viewing tool in mobile communication network systems. It can view the signaling messages generated in the service system in real time through signaling tracking, which can provide an effective means for fault location and business process observation. , can provide the necessary maintenance status data to the operation and maintenance personnel. During the signaling tracking process, the signaling tracking client initiates a tracking request to the network device, and the network device notifies the corresponding service processing module according to the tracking condition, and the service processing module filters the signaling data according to the tracking condition, and finally reports the message. Let the client track.

With the rapid development of mobile communication networks, operability and maintainability are valued by more and more manufacturers. A user-based network element level signaling tracking method has been widely used, that is, tracking client settings. Filtering conditions ^ ^ In the user number, the service running module in the network device is required to report and set the signaling data corresponding to the user information. In general, specific user tracking and full user tracking are two common user tracking methods.

Specific user tracking: You need to specify the user ID (such as IMSI or MSISDN) in the tracking condition when the tracking is initiated. The service module only reports and matches the signaling tracking data of the specified user in the service flow, but the service running environment is very complicated. In this case, it is difficult to obtain specific user information, and when the device is running for a long time, the user information of the problem cannot be known in advance. This method is only applicable to the start-up debugging phase or when the fault is located according to a specific user complaint. .

Full-user tracking: The service module reports all user signaling data to the tracking client, which can solve the defect that the user signaling data collection is incomplete when the specific user signaling is tracked. However, in the case of a large number of users in a commercial office, full-user tracking can cause the tracking client system to be unable to process such massive data.

Both of the above methods have major limitations and cannot be solved in a complex commercial office environment. The need to monitor the health of the network system for a long time.

Summary of the invention

The object of the present invention is to provide a user-based random report signaling tracking method and apparatus, and provide signaling data of more users as much as possible in case of a fault cause, which is used to solve a problem that may be caused by a specific user tracking. Improves the operability and maintainability of mobile network systems by tracking client performance issues that can result from incomplete data collection and full user tracking.

In order to solve the above problem, the present invention provides a user-based random reporting signaling tracking method, including:

When receiving a random user tracking request of the tracking client, creating a random user queue; receiving signaling tracking data, and acquiring a user identifier of the signaling tracking data;

And if the user identifier exists in the random user queue, reporting the signaling tracking data to the tracking client;

If the user identifier does not exist in the random user queue, and the random user queue does not reach the capacity limit, add the user identifier to the random user queue, and report the signaling tracking data to the tracking client. end.

The method further includes: discarding the signaling tracking data if the user identifier does not exist in the random user queue, and the random user queue has reached a capacity limit.

The capacity k of the random user queue does not exceed max ÷ m ÷ n, the max is the processing time limit of the tracking client, and the m is the number of service processing modules that report signaling tracking data, where n is all The number of signaling trace data that the service processing module generates on average in one transaction process of the user.

The method further includes: periodically scanning the random user queue, and clearing an expired user that meets a preset expiration policy from the random user queue.

The expired user is: one or more users that are the earliest to join in the random user queue during the timed scanning period; or, in the timed scanning period, the number of signaling tracking data reported in the random user queue is not higher than the preset Wide value users.

The present invention also provides a user-based random report signaling tracking device, the device including Machine user queue module and judgment module, wherein:

The random user queue module is configured to: when receiving a random user tracking request of the tracking client, create a random user queue;

The determining module is configured to: receive signaling tracking data, and obtain a user identifier of the signaling tracking data; if the user identifier exists in the random user queue, report the signaling tracking data to the tracking If the user identifier does not exist in the random user queue, and the random user queue does not reach the capacity limit, the user identifier is added to the random user queue, and the signaling tracking data is reported to the client. Track the client.

The determining module is further configured to: if the user identifier does not exist in the random user queue, and the random user queue has reached a capacity limit, discard the signaling tracking data.

The capacity k of the random user queue does not exceed max ÷ m ÷ n , the max is the processing time limit of the tracking client, and the m is the number of service processing modules that report signaling tracking data, where n is all The number of signaling trace data that the service processing module generates on average in one transaction process of the user.

The random user queue module is further configured to: periodically scan the random user queue, and satisfy the expired user as: one or more users that are the earliest to join in the random user queue in a timed scanning period; or, a scheduled scan During the period, the number of signaling tracking data reported by the random user queue is not higher than the preset threshold.

Compared with the prior art, the present invention introduces a random user queue, and dynamically groups the user identifiers in the system device to report the user signaling to the tracking client in real time, and maximizes the utilization of the system resources. The user signaling data in various scenarios is collected and reported to the tracking client. The present invention also introduces a random queue engine, which periodically manages and controls the random user queue, and deletes the expired user identifier in time, so that the newly generated user signaling data can also be reported to the tracking client, and the user information can be collected more effectively. BRIEF abstract

1 is a diagram of a user random reporting signaling tracking device according to the present invention; 2 is a flowchart of randomly reporting user signaling tracking data according to an embodiment of the present invention;

FIG. 3 is a flowchart of random user queue management control according to an embodiment of the present invention.

Preferred embodiment of the invention

The present invention provides a method for tracking user-based random report signaling in a mobile communication network device, which is used to track signaling data of various protocol types in a service, and includes the following steps:

Step A. Receive a random user tracking request of the tracking client, and create a random user queue with capacity limitation. Step B. Obtain the user identifier of the signaling tracking data according to the signaling tracking data reported by the service system, in the random user queue. Find if the same user ID exists;

Step C. If the same user identifier exists in the random user queue, the signaling tracking data is reported to the tracking client.

If the user identifier does not exist in the random user queue, and the random user queue does not reach the capacity limit, the user identifier is added to the random user queue, and the signaling tracking data is reported;

If the user ID does not exist in the random user queue, and the random user queue has reached the capacity limit, that is, the random user queue is full, the signaling tracking data is directly discarded according to the principle of "advanced column first reporting", and the priority is satisfied in the queue. Existing users report signaling tracking data.

Further, after the random user queue reaches the capacity limit, in order to prevent the new user identifier from being added to the random user queue, the user signaling data generated during the operation of the service system cannot be collected in real time, and the present invention further provides a timing clearing expired user. Policy: Use the timer to scan the random user queue to clear expired users that meet the preset expiration policy. In this way, a new user identifier can be added to the random queue in the subsequent reporting signaling tracking process, and the latest valid signaling data is timely reported to the tracking client. The method for judging expired users provided by the present invention includes:

1) During the timed scan period, one or more users who first joined the random user queue are considered to have User. When using this method, the user ID is time-stamped when the user is added to the random user queue, and is used for timing scanning to obtain the time when the user joins the queue.

2) In the timed scanning period, the user reporting the number of signaling tracking data in the random user queue is not higher than the preset threshold, and the user is regarded as an expired user, and the determining method needs to identify each user in the random user queue. The counter is incremented, and when the user signaling trace data is reported, the corresponding counter is also increased accordingly. When the timer scans, the counter of the user that has not expired is cleared to 0.

The preset threshold may be 0. That is, the user whose signaling tracking data is reported as 0 is regarded as an expired user in the timed scanning period, and the user identifier whose counter is 0 is deleted from the queue during the scheduled scanning.

The method for judging the expired user is only an example, and the expired user may be determined according to other expiration policies, which is not limited by the present invention.

The basic principle of user-based random reporting signaling is that users in the random user queue can report related signaling tracking messages. To avoid impact on system performance, the capacity selection of random user queues is very important. The capacity is k. If at most m users are simultaneously reported, and according to the service model, each service processing module generates an average of n signalings in a user's service flow, then the limit service m service processing modules generate a message every second. Let k X n X m, obviously this value should not exceed the limit max of the tracking client processing, then the capacity k of the random user queue should not exceed max ÷ m ÷ n. In particular, n is the average of the various protocol modules, and the specific application scenarios need to be weighted by the business model.

The preferred embodiment of the present invention is further described in detail below with reference to FIG. 2. As shown in FIG. 2, the user-based random report signaling tracking method according to the present invention includes:

Step 201: The service system reports signaling tracking data.

Step 202, determining whether the user identifier of the signaling tracking data is in a random user queue, if not, executing step 203; if yes, executing step 206;

Step 203, it is determined whether the random user queue reaches the capacity limit (whether is full), if yes, step 204 is performed, if the capacity limit is not reached, step 205 is performed;

Step 204, discarding the signaling tracking data, and ending;

Step 205: Add the user identifier to the random user queue, and set the counter of the user to 0. Step 206: Report the signaling tracking data to the tracking client, and add 1 to the counter of the user.

After the tracking client initiates random user tracking, a random user queue of capacity n is created in the service system, and the random user queue is initially empty. As shown in step 201, when the user A1 generates signaling tracking data during the running of the service system, the data needs to be reported to the tracking client. Because the random user queue is empty, the process proceeds to step 205, where the user identifier A1 is displayed. Join the random user queue and finally proceed to step 206 to escalate the data to the tracking client.

In the subsequent service process, the user A1 continues to generate the related signaling tracking data. If the user already exists in the random user queue, the process proceeds to step 206 to report the signaling tracking data to the tracking client. At the same time, users A2, A3 and A4 have been successively executed during the operation of the business system. . . Am (m < n), step 202, step 203, step 205 are repeated, and the length of the random user queue is gradually increased to m, which is still within the capacity n of the random user queue, that is, the random user queue is not full. .

Similarly, when the user Am+l, Am+2, An successively generates signaling tracking data and reports it to the tracking client, the length of the random user queue also increases to n. In this way, the user A, A2 An is included in the random user queue, and the user-related signaling tracking data is finally reported to the tracking client by performing step 202, and step 206. If the signaling tracking data related to the new user An+1 is generated at this time, the signaling tracking data can only be discarded because the user in the random user queue is preferentially reported, that is, step 202, step 203, and step 204 is shown.

In the above method, it is ensured that only n users can report signaling data in the service system, which ensures the stability of the system.

In the method of the present invention, it is also necessary to periodically clean up expired users. The following is a description of the timing cleaning process of the random user queue in conjunction with FIG. 3 on the basis of FIG.

In the case where the user Al, A2, ..... An is already included in the random user queue, the steps are

206. Whenever a certain user related signaling tracking data is reported, the associated counter is +1. When the timing scan period (falsely set to k seconds) is reached, by performing step 302, the counter value associated with each user Ai (i = 1, 2, ... n) is determined, and this value represents the k seconds. Inside, how many phases does user Ai have? The signaling of the tracking data is reported, which represents its activity level. If the user Ai does not report the signaling tracking data in the k seconds, step 303 is performed to delete the random user queue. If the signaling tracking data is reported, step 304 is performed to keep the random user queue.

Thus, through the loop detection of step 302, it is assumed that there are j expired users without signaling tracking data reported in k seconds to be deleted from the random user queue, so that the random user queue has more j idle positions, when the new user An+l When the signaling tracking data is reported, An+2 and An+j may join the random user queue through step 202, step 203, and step 205, thereby ensuring that the random user queue is updated.

In step 304, the user-associated counters remaining in the random user queue need to be cleared to ensure the independence of the user-associated counters during each statistical period.

The present invention also provides a user-based random report signaling tracking device, the device comprising a random user queue module and a judging module, wherein:

The random user queue module is configured to create a random user queue when receiving a random user tracking request of the tracking client;

The determining module is configured to: receive signaling tracking data, and obtain a user identifier of the signaling tracking data; if the user identifier exists in the random user queue, report the signaling tracking data to the tracking If the user identifier does not exist in the random user queue, and the random user queue does not reach the capacity limit, the user identifier is added to the random user team and the signaling tracking data is reported to the client. Tracking the client; if the user identifier does not exist in the random user queue, and the random user queue has reached the capacity limit, the signaling tracking data is discarded.

The capacity k of the random user queue does not exceed max ÷ m ÷ n, the max is the processing time limit of the tracking client, and the m is the number of service processing modules that report signaling tracking data, the n The average number of signaling trace data generated by all service processing modules in a user's business process.

The random user queue module is further configured to: periodically scan the random user queue, and the user is: During the timed scanning period, one or more users that are the earliest to join in the random user queue; or, in the timed scanning period, the number of signaling tracking data reported by the random user queue is not higher than the preset threshold.

Through the above description, the present invention ensures that only a certain number of users in the service system can report signaling tracking data through a capacity user queue, so that the performance of the system is not affected.

Compared with the prior art, the present invention introduces a random user queue, and dynamically groups the user identifiers in the system device to report the user signaling to the tracking client in real time, and maximizes the utilization of the system resources. The user signaling data in various scenarios is collected and reported to the tracking client.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial applicability

Compared with the prior art, the present invention introduces a random user queue, and dynamically groups the user identifiers in the system device to report the user signaling to the tracking client in real time, and maximizes the utilization of the system resources. The user signaling data in various scenarios is reported to the tracking client, and the random user queue is periodically controlled and controlled, and the expired user identifier is deleted in time, so that the newly generated user signaling data can be reported to the tracking client. , can collect user information more effectively.

Claims

Claim

A user-based random reporting signaling tracking method, including:

2. The method of claim 1 further comprising

If the user identifier does not exist in the random user queue, and the random user queue has reached the capacity limit, the signaling tracking data is discarded.

3. The method of claim 1, wherein

4. The method of claim 1 or 2 or 3, further comprising:

The random user queue is periodically scanned, and expired users that satisfy the preset expiration policy are cleared from the random user queue.

5. The method of claim 4, wherein the expired user is:

During the timed scanning period, one or more users that are the earliest to join in the random user queue; or, in the timed scanning period, the number of signaling tracking data reported in the random user queue is not higher than the user of the preset threshold.

A user-based random report signaling tracking device, comprising a random user queue module and a judgment module, wherein: the random user queue module is configured to: receive a random user tracking request of the tracking client Create a random user queue;

7. The apparatus according to claim 6, wherein

8. The apparatus according to claim 6, wherein

The device according to claim 6, 7 or 8, wherein the random user queue module is further configured to: periodically scan the random user queue, and use an expired user that meets a preset expiration policy from the random user Cleared in the queue.

10. The apparatus according to claim 9, wherein the expired user is: