Method of managing alarm inquiry

Abstract

The invention provides a method of managing warning query, which uses warning query indexes to manage all the warning information stored in a warning data pool. The method includes four steps; firstly, a client sends request information to a server for querying the current warning, and the request information at least includes query conditions, sequencing conditions and a query range; secondly, after receiving the request information of querying the current warning, according to the query conditions and the sequencing conditions, the server applies a B plus tree structure to create warning index information in the warning query indexes; thirdly, according to the warning query indexes and the query rang, the corresponding warning information is obtained, and a query result is generated; fourthly, the server sends the query result to the client, which then displays the warning data. Because the B plus tree is applied to store the warning query indexes, the speed of the lookup, insertion and deletion of data is notably increased, thus notably increasing the efficiency of query.

Description

Technical field [0001] The invention relates to the field of communications, and focuses on the processing of current alarm queries in the TMN (Telecommunications Management Network) fault management function. Background technique [0002] With the continuous expansion of the scale of telecommunication networks, more and more devices are managed by the TMN system, and the amount of alarm data is becoming very large. In the eyes of users, alarm management is very important. In practical applications, it is often necessary to query alarm data. Therefore, users have high requirements for the efficiency of querying alarms. Due to the complex processing logic and large data volume of the current alarm query in the TMN system, it has become the bottleneck of the operating efficiency of the TMN system, and the data structure and algorithm adopted therein have become the key to the efficiency. [0003] In the prior art, in order to improve the efficiency of current alarm query while savi...

AI Technical Summary

Problems solved by technology

At present, the "alarm query index" is usually implemented with a "linked list structure". The disadvantage is that operations such as linked list generation, linked list sorting, element search, element insertion, and element deletion are inefficient, which directly leads to the low efficiency of the current alarm query.

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