Performance abnormality prediction method in distributed system and system

A technology of distributed systems and forecasting methods, applied in forecasting, data processing applications, computing, etc., can solve the problems that the characteristics of variables cannot be fully considered, and the degree of automation of distributed environmental performance forecasting is not high, so as to improve the accuracy and reliability. The effect of high degree of automation and practicability

Inactive Publication Date: 2014-09-24
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a performance abnormal prediction method and system in a distributed system, which solves the problem that the performance pr

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  • Performance abnormality prediction method in distributed system and system
  • Performance abnormality prediction method in distributed system and system
  • Performance abnormality prediction method in distributed system and system

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Embodiment 1

[0039] Please refer to figure 1 , the present invention provides a method for predicting abnormal performance in a distributed system, which mainly includes the following steps:

[0040] S1: Extract the target data value from the historical performance data obtained by several monitoring nodes in the monitoring system as the data source for training, and calculate the eigenvalues ​​of each historical data pattern in the data source;

[0041] In this embodiment, a data point is described by three aspects of characteristic values, including performance value variation (Change Value, CV), performance value change rate (Change Rate, CR) and performance value (Value, V). The performance value is a time t 1 The value of the performance measure for .

[0042] The change in performance value is a time t 1 with another moment t 2 The difference in performance metrics for :

[0043] CV ( t i ) ...

Embodiment 2

[0106] Please refer to figure 2 , the present invention provides a performance abnormal prediction system in a distributed system, which is connected with the monitoring system of the distributed system, and mainly includes: a historical characteristic value calculation module, a priori probability module, a real-time characteristic value calculation module, a similar mode module, Probability calculation module and abnormal alarm module.

[0107] The historical eigenvalue calculation module extracts the target data value from the historical performance data obtained by several monitoring nodes in the monitoring system as a data source for training, and calculates the eigenvalues ​​of each historical data pattern in the data source;

[0108] In this embodiment, a data point is described by three aspects of characteristic values, including performance value variation (Change Value, CV), performance value change rate (Change Rate, CR) and performance value (Value, V). The perfo...

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Abstract

The invention relates to a performance abnormality prediction method in a distributed system and a system. The historical performance data and real-time performance data are collected through the monitoring system of a distributed environment, a characteristic value is employed to extract the characteristic of description data, the mode of a performance variable is constructed, a classification model is trained through Naive Bayesian classification, a current data mode and historical data modes are compared, a mode which is most similar to the current data mode is found in the historical data modes, and finally a question whether the current data mode is in an abnormal state is predicated according to a Naive Bayesian predication model. According to the method and the system, for the abnormal performance prediction in the distributed system, the problem of the characteristic of a variable is considered comprehensively, the accuracy is high, a machine learning method Bayesian model is employed to guide the prediction, the performance abnormality situation is detected in real time, the detected prediction is estimated and analyzed through the previously obtained Bayesian model, the confidence of the prediction is raised, the degree of automation is high, and the reliability and practicality of the prediction are improved.

Description

technical field [0001] The invention relates to a performance abnormality detection and prediction method and system, in particular to a performance abnormality prediction method and system in a distributed system. Background technique [0002] In a distributed system, each computer is independent of each other and can be physically adjacent or geographically dispersed. They are connected through a network or other means to form a whole. In terms of research, distributed computing has the following characteristics: 1. Resource sharing; 2. Scalability; 3. Fault tolerance; 4. Concurrency. [0003] In order to better reflect the powerful ability of distributed computing to process data calculations, monitoring the distributed computing environment will become particularly important and critical. The system must coordinate the operation of these tasks, allocate resources reasonably to make full use of resources and improve the performance of the entire system. Typically, the s...

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 曹健杨定裕仇沂顾骅沈琪骏王烺
Owner SHANGHAI JIAO TONG UNIV
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