Database early warning method and device, computing equipment and medium

A database and preset cycle technology, applied in the computer field, can solve problems such as the large number of monitoring items, the increase of man-made risks in operation and maintenance, and the lack of quantified standards or indicators, so as to improve accuracy, reduce labor costs for operation and maintenance, and reduce alarms Quantity effect

Pending Publication Date: 2020-11-17
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional monitoring and early warning methods have the following problems: each indicator corresponds to a monitoring item, and each monitoring item will issue an early warning according to the artificially set monitoring threshold, so the number of monitoring items is large, and the monitoring threshold is set based on human experience. The lack of quantitative standards or indicators increases the maintenance difficulty of operation and maintenance personnel, and also increases the human risk of operation and maintenance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Database early warning method and device, computing equipment and medium
  • Database early warning method and device, computing equipment and medium
  • Database early warning method and device, computing equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.

[0025] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a database early warning method, which can be applied to the financial field or other fields. The method comprises the steps of obtaining a monitoring index value of a database;determining whether to trigger a database early warning instruction or not according to the trained linear regression model and the monitoring index value; generating early warning information underthe condition of triggering a database early warning instruction; wherein the linear regression model is trained by the following operations: calculating a minimum loss function error value of the linear regression model; and training parameters of a linear regression model according to the minimum loss function error value. The invention further provides an database early warning device, electronic equipment and a computer readable storage medium.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and more specifically, to a database early warning method, device, computing equipment and media. Background technique [0002] The traditional database monitoring and early warning method sets monitoring thresholds for each indicator of the database (such as database response time (also known as dbtime), waiting events, number of connections, etc.) based on the experience of operation and maintenance personnel, and defines different alarms level. By monitoring these indicators separately, when these indicators reach the corresponding thresholds, an alarm message is issued. [0003] The traditional monitoring and early warning methods have the following problems: each indicator corresponds to a monitoring item, and each monitoring item will issue an early warning according to the artificially set monitoring threshold, so the number of monitoring items is large, and the monitoring thre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F11/34G06F11/32
CPCG06F11/3447G06F11/3452G06F11/3476G06F11/327G06F2201/80G06F2201/805
Inventor 段伟杰
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products