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Performance data dependency analyzing method and performance monitoring system

A technology of data correlation and analysis method, applied in the field of performance data analysis, can solve the problems of difficult performance monitoring system performance analysis, diagnosis and tuning, difficult to reflect the characteristics of performance data changes, etc., to achieve a simple structure, easy to implement, Easy-to-operate effects

Active Publication Date: 2015-09-23
珠海金智维信息科技有限公司
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Problems solved by technology

[0003] However, in various performance monitoring systems in the prior art, the use of performance data is in the display and analysis stage of the statistical information, and the validity of the statistical information depends on the size of the statistics of the performance data. It is also difficult for the information to reflect the change characteristics of the performance data on the time axis, so it is difficult to provide effective guidance information for the performance analysis, diagnosis and tuning of the performance monitoring system

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  • Performance data dependency analyzing method and performance monitoring system
  • Performance data dependency analyzing method and performance monitoring system
  • Performance data dependency analyzing method and performance monitoring system

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] figure 1 The flow chart of the method for analyzing performance data correlation provided by the embodiment of the present invention only shows the part related to this embodiment for the convenience of description.

[0041] refer to figure 1 The performance data correlation analysis method provided by the embodiment of the present invention includes the following steps:

[0042] S101: Collect performance data of multiple indicators in the target network through network nodes;

[0043] S102: Store the performance data to establish a database storing a large amount of performance data;

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Abstract

The invention is suitable for the performance data analyzing field and provides a performance data dependency analyzing method and a performance monitoring system. The method comprises: a step of collecting performance data of a plurality of indexes and storing the performance data to build a database; a step of extracting a performance data of one index in the database and building a time series according to a time collecting sequence; a step of extracting a graphic feature vector of the time series; a step of building a graphic feature index for the graphic feature vector; a step of building an object time series; a step of extracting a target image feature vector of the object time series; and a step of querying the graphic feature vector similar to the target graphic feature vector in the graphic feature index, and ranking and outputting the queried result. According to the invention, the method can realize big data analytics of the performance data via a time series similarity search technology, so that the variable characteristics on a timer shaft can be intuitively reflected and a manager can directly analyze the different factors of generating the performance problems via the queried result.

Description

technical field [0001] The invention belongs to the field of performance data analysis, and in particular relates to a performance data correlation analysis method and a performance monitoring system. Background technique [0002] In the field of performance data analysis such as server performance monitoring system, network equipment performance monitoring system, and dynamic environment performance monitoring system, the basic problems of big data analysis are often mentioned in practical applications. The big data analysis method in the prior art is usually based on NoSQL (relational database), by constructing a time series of performance data in the database, and performing similarity query and analysis on the performance data according to the time series index method, in realizing While managing high-performance data storage, it also improves the big data storage and high-performance query capabilities of NoSQL databases. [0003] However, in various performance monito...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 肖飞廖万里金卓
Owner 珠海金智维信息科技有限公司
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