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System volume analysis and prediction method and device

A technology of system capacity and prediction method, applied in error detection/correction, instrumentation, electrical digital data processing, etc., can solve the hidden dangers of system security, the inability to predict the use of system hardware resource capacity in advance, and the inability to prevent failures in advance, etc. achieve the effect of improving safety

Active Publication Date: 2017-06-23
SHENZHEN AUDAQUE DATA TECH
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  • Claims
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Problems solved by technology

[0003] The purpose of the present invention is to provide and solve the problem that the existing big data operation and maintenance system cannot predict the capacity usage of each hardware resource in the system in advance, and cannot prevent failures in advance, which leads to the problem of potential safety hazards in the system

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  • System volume analysis and prediction method and device

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specific Embodiment 1

[0049] Such as figure 1 As shown, the embodiment of the present invention provides a system capacity analysis and prediction method, including the following steps.

[0050] Step S101, obtain system operation data; each piece of system operation data includes system status data, business status data and abnormal fault data, and the system status data, business status data and abnormal fault data can be based on time interval, hardware resources, business application sort.

[0051] In step S102, a capacity regression model is established according to the system operation data.

[0052] Step S103, according to the system operation data, the historical system operation data of the set time interval is acquired.

[0053] Step S104, according to the historical system operation data of the set time interval, using the capacity regression model to calculate the historical capacity usage data of each hardware resource within the set time interval. That is, by setting the system oper...

specific Embodiment 2

[0076] Such as figure 2 As shown, the embodiment of the present invention provides a device for analyzing and predicting system capacity, which includes the following modules.

[0077] The model building module 201 is used to: obtain system operation data; each piece of system operation data includes system state data, business state data and abnormal fault data, and the system state data, business state data and abnormal fault data can be based on time interval, Classify hardware resources and business applications; build a capacity regression model based on system operating data. The embodiment of the present invention establishes a capacity regression model of the entire system from different times and multiple dimensions, for example, through the hardware resource configuration of the host and the service application carried.

[0078] The capacity analysis module 202 is configured to: acquire historical system operating data in a set time interval according to the system...

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Abstract

The invention provides a system volume analysis and prediction method and device. The method comprises the steps of obtaining system operation data, establishing a relationship between system condition data, business state data and abnormal fault data, and using the data as the foundation to establish a volume regression model, and on the basis of the volume regression model, calculating predictive volume use data of all hardware resources in a designated time and system performance data in the designated time, based on the two types of data, referring to the volume regression model, giving the prediction to the subsequent hardware resource volume, therefore through the comprehensive analysis of historic operation state data, analyzing the volume use conditions of all key resources of all stages, predetermining whether the volume of the hardware resources such as servers reaches a bottleneck, and giving warnings to potential volume risks to avoid the situation that the repair is only implemented after a hardware resource fault occurs. Therefore, the system safety is enhanced.

Description

technical field [0001] The invention relates to a big data operation and maintenance system, in particular to a system capacity analysis and prediction method and device for a big data operation and maintenance platform. Background technique [0002] The existing big data operation and maintenance system cannot predict the capacity usage of hardware resources such as servers in the system in advance, and can only wait for these hardware resources to be repaired when they fail, and cannot prevent failures in advance, thus causing certain security risks . Contents of the invention [0003] The purpose of the present invention is to provide and solve the problem that the existing big data operation and maintenance system cannot predict the capacity usage of each hardware resource in the system in advance, and cannot prevent failures in advance, which leads to potential safety hazards in the system. [0004] The technical solution adopted by the present invention to solve its...

Claims

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Application Information

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IPC IPC(8): G06F11/34
CPCG06F11/3447
Inventor 何运昌吴伟章胡碧峰蔡威威贾西贝
Owner SHENZHEN AUDAQUE DATA TECH
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