A Data Acquisition Method Based on Metadata

Abstract

The present invention relates to a data collection method based on metadata, which includes the following steps: (1) separating the data collection process and data; (2) establishing a standard process; (3) establishing a metadata model; (4) implementing the data collection. This method analyzes a variety of different specific collection methods, defines the main process of data collection as a standard process, and abstracts data and special methods outside the standard process into metadata required by the standard process, establishes a metadata model, and standard process Cooperate with different metadata to realize data collection for different collection objects.

Description

technical field [0001] The invention relates to a data collection method, in particular to a metadata-based data collection method. Background technique [0002] In the field of monitoring systems, large-scale monitoring systems need to monitor various types of hardware devices, software operations, etc. Data collection is an essential basic work in monitoring systems. Different types of monitoring objects often provide different data interfaces and Communication protocols, such as the general SNMP protocol and various proprietary custom protocols of various manufacturers, in the monitoring system need to design collection methods for monitoring objects with different collection methods, and the cost of system expansion is high. [0003] The existing technology often designs acquisition methods for different monitoring objects separately, which has poor reusability, difficulty in unified optimization of overall performance, poor later scalability, and high upgrade costs. ...

AI Technical Summary

Problems solved by technology

[0003] The existing technology often designs acquisition methods for different monitoring objects separately, which has poor reusability, difficulty in optimizing the overall performance, poor scalability in the later stage, and high upgrade costs

[0004] In practical applications, the types of monitoring objects in the early stage are often relatively small, and the collection methods can be designed separately for a small number of monitoring objects. At this time, the monitoring system architecture implemented at this time is often not scalable. Architecture is not easy

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