Method, system, device and medium for fault prediction of data center network equipment

A technology for data center network and network equipment, which is applied in the field of data center network equipment failure prediction, and can solve problems such as business impact, data loss, and failure caused by environmental factors.

Active Publication Date: 2022-05-24
INSPUR SUZHOU INTELLIGENT TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the length of use of the hardware, environmental factors, etc., there will be failures, which will affect the business
At present, the alarm will only be issued when the equipment fails, and this will often cause data loss. Therefore, it is necessary to find a suitable fault prediction method

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
  • Method, system, device and medium for fault prediction of data center network equipment
  • Method, system, device and medium for fault prediction of data center network equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention will be further described in detail below with reference to the specific embodiments and the accompanying drawings.

[0019] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for the purpose of distinguishing two entities with the same name but not the same or non-identical parameters. It can be seen that "first" and "second" It is only for the convenience of expression and should not be construed as a limitation to the embodiments of the present invention, and subsequent embodiments will not describe them one by one.

[0020] Based on the above purpose, in a first aspect of the embodiments of the present invention, an embodiment of a method for predicting faults of network equipment in a data center is provided. figure 1 Shown is a schematic diagram...

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 discloses a method, system, device and storage medium for fault prediction of network equipment in a data center. The method includes: collecting a predetermined number of groups of historical data of each network equipment, and calculating the historical data to obtain the first benchmark of each network equipment Comprehensive abnormal rate; set the corresponding second benchmark comprehensive abnormal rate according to the importance of each network device; collect current data of network devices, calculate the comprehensive abnormal rate of the current data, and judge whether the comprehensive abnormal rate is greater than the first benchmark comprehensive abnormal rate ; In response to the comprehensive abnormal rate being greater than the first benchmark comprehensive abnormal rate, generate a predicted fault notification and record the current data in the fault record table, and judge whether the comprehensive abnormal rate is greater than the second benchmark comprehensive abnormal rate; and in response to the comprehensive abnormal rate is not If it is greater than the second benchmark comprehensive abnormal rate, replace the current data with a set of data farthest from the current moment in the historical data, and return to recalculate the first benchmark comprehensive abnormal rate.

Description

technical field [0001] The present invention relates to the field of network equipment, and more particularly, to a method, system, computer equipment and readable medium for fault prediction of network equipment in a data center. Background technique [0002] There are a large number of network devices such as switches, routers, and firewalls in 5G data centers. Depending on the time of use, environmental factors, etc., the hardware may fail, which will affect the business. At present, an alarm is only issued when a device fails, which often results in data loss. Therefore, it is necessary to find a suitable failure prediction method. SUMMARY OF THE INVENTION [0003] In view of this, the purpose of the embodiments of the present invention is to propose a method, system, computer equipment and computer-readable storage medium for fault prediction of network equipment in a data center, and obtain a first reference comprehensive abnormality rate by collecting historical da...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/0604H04L41/0631H04L41/147
CPCH04L41/0604H04L41/0631H04L41/147
Inventor 任广磊
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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