Mobile data service end-to-end quality analysis method and system

Abstract

The invention discloses a mobile data service end-to-end quality service method, which is characterized by comprising the following steps of: configuring different data service systems according to the source-end-to-destination-end flow of a mobile data service to be analyzed; configuring influence relationships between service indexes of previous and next data service systems according to interaction relationships between the previous and next data service systems in the flow of the data service, and marking the service indexes with the influence relationships with identical identifiers; and monitoring the service indexes according to the influence relationships in real time to judge whether the service indexes are normal or not. The invention also discloses a mobile data service end-to-end quality analysis system, which comprises a service system configuration module, a service index configuration module and a service index analysis module. By the method and the system, the configurability of the service systems and the service indexes is achieved, 'lateral' influence relationships among the service indexes are established, development time is greatly saved, development efficiency is greatly improved, abnormal service indexes can be positioned at any time, and problems can be timely discovered.

Description

technical field [0001] The invention relates to the technical field of mobile data service end-to-end communication, in particular to an end-to-end quality analysis method and system for mobile data services. Background technique [0002] With the increasingly saturated ARPU value of mobile operators in the field of voice services, data services have gradually become the main source of revenue for mobile operators. The vigorous development of data services has brought earth-shaking changes to people's daily life, entertainment, investment and other fields. Mobile operators, integrators, SP manufacturers and equipment manufacturers have invested a lot of manpower and material resources in the construction of data services, Maintenance, integration and management, mainstream data service systems such as MMS, WAP, SMS, etc. More than 100 sets, covering a wide range and involving a large number of systems are still the first among all professional network management constructio...

AI Technical Summary

Problems solved by technology

When business-related complaints or failures occur, there is a lack of fault location means across business systems

[0006] 3. The construction of the business system stays at the initial stage of vertical (in the same business system) construction. No manufacturer has carefully analyzed the business flow between the multiple systems that the business system flows through. The horizontal process of data business traverses Lack of management tools

[0007] 4. When an abnormality occurs in a certain business system, which peripheral systems will be affected, which equipment in the peripheral system will be affected, and which indicators will be affected by the equipment (that is, abnormal impact analysis); Whether the abnormality of the indicator is caused by other business systems (that is, the root cause analysis of the abnormality) has not been analyzed and excavated, so there is no good solution and early warning system for business impact, and the problem can only be found passively , and then deal with the problem, resulting in low quality of overall maintenance of data services, insufficient active monitoring capabilities, and poor customer perception

[0008] 5. Taking the data business as the foothold, there is no good solution for the topic of end-to-end customer quality improvement. The data consumption capacity of each data business system is insufficient, and there is a lack of data support for the end-to-end index system in the data network field

However, at present, the association analysis of these important business systems in the industry has been in a blank state.

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