Method for memorizing data and network management system

Abstract

The invention discloses a method for memorizing data and a network management system, wherein the method comprises the steps: a performance data base builds a performance table which corresponds to collected granularity according to the different collected granularities and builds an index; a performance server collects performance data from a network element, memorizes the performance data into corresponding positions of the performance table, and generates an index; and the performance server queries the performance table and transmits a query result to a client end when the client end requests to query the performance table or the performance data. By building the performance table of the different collected granularities in the performance data base and building the index, the method eliminates unnecessary fields and redundancy information, thereby saving memory space, reducing the use of high-speed memory space when memorizing mass performance data, improving the speed, and saving the memorizing resources and CPU resources.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for storing data and a network management system. Background technique [0002] With the rapid development of communication technology, the telecommunication network is becoming more and more complex. In order to grasp the operation status of the telecommunication network at any time, discover the problems of the telecommunication network in time, and continuously optimize the performance and service of the telecommunication network, a network management system has emerged. Performance management is the main management function provided by the network management system for the telecommunication network and telecommunication services. In order to monitor the performance of the network, the performance management of the network management system needs to collect performance data from the managed equipment side (that is, the network element), and then store it in the pe...

AI Technical Summary

Problems solved by technology

[0009] Based on the above analysis, there are currently the following disadvantages when using performance databases to store data: the storage of performance indicators consumes a lot of space, and the insertion of performance data and the query of performance data involve a large number of disk I / O, which reduces the speed accordingly. The consumption of CPU resources also increases

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