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Exception detection method and application, and monitoring equipment

A technology for anomaly detection and monitoring equipment, applied in hardware monitoring, error detection/correction, instrumentation, etc., to solve problems such as the degree of anomaly that cannot be determined

Active Publication Date: 2016-11-09
北京睿象科技有限公司
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  • Abstract
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Problems solved by technology

Although this method can mark abnormal values, it cannot determine the degree of abnormality. Correspondingly, it is impossible to formulate appropriate improvement measures according to different degrees of abnormality.

Method used

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  • Exception detection method and application, and monitoring equipment
  • Exception detection method and application, and monitoring equipment
  • Exception detection method and application, and monitoring equipment

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Embodiment Construction

[0077] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0078] figure 1 A schematic diagram of a performance monitoring system 100 according to an embodiment of the present invention is shown. Such as figure 1 As shown, the performance monitoring system includes a monitoring device 200 and multiple monitored devices. The monitoring device 200 can be a desktop computer, a notebook computer, a server or a workstation. The monitoring device 200 can also be implemented as a part of a sma...

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Abstract

The invention discloses an exception detection method, which is executed in monitoring equipment and is suitable for carry out real-time exception detection on one or a plurality of periodic performance indexes of monitored equipment. The method comprises the following steps: obtaining the first time sequence of a certain periodic performance index of the monitored equipment, wherein the first time sequence comprises a plurality of observation values of the periodic performance index in a time period [t0, tnow]; setting each periodic data size n0; according to the each periodic data size n0 and the first time sequence, determining a second time sequence X, wherein the second time sequence comprises a plurality of observation values of the periodic performance index in a time period [tnow-[Delta]*n0+1, tnow]; carrying out STL (Seasonal and Trend decomposition using Loess) on X, and splitting X into a periodic sequence S, a tendency sequence T and a residual sequence R; according to X and R, determining an array D to be detected; and adopting an improved ESD (Extreme Studentized Deviate) algorithm to determine exceptional points in D, and the separate score of each exceptional point. The invention also discloses an exception detection application which can implement the above method, and the monitoring equipment which comprises the above application.

Description

technical field [0001] The present invention relates to the technical field of computing device performance monitoring, in particular to a method, application and monitoring device capable of real-time abnormal detection of one or more periodic performance indicators of a monitored device. Background technique [0002] With the development of information technology, various applications and websites emerge in an endless stream, which put forward higher requirements for the performance of computing equipment. Monitoring various performance indicators, obtaining the operating status of computing equipment in real time and troubleshooting abnormalities is a necessary step to improve its computing performance. Generally speaking, the performance indicators monitored include CPU utilization, throughput, response time, and so on. During monitoring, each performance index is sampled at intervals, so the monitoring result of each performance index is presented as a time series. In...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F11/32
CPCG06F11/327G06F11/3409
Inventor 吴海珊阮松松刘麒贇
Owner 北京睿象科技有限公司
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