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A node abnormality judgment method in cloud computing environment

A cloud computing environment and abnormal judgment technology, applied in computing, computer parts, instruments, etc., can solve problems such as complexity, large-scale, node abnormality, service failure, etc.

Active Publication Date: 2022-08-09
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a large number of malicious attacks and its own complexity and large-scale make the nodes in the cloud computing environment often experience abnormalities, causing some or even all services to fail.

Method used

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  • A node abnormality judgment method in cloud computing environment
  • A node abnormality judgment method in cloud computing environment
  • A node abnormality judgment method in cloud computing environment

Examples

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Embodiment 1

[0099] Example 1: as Figure 1-5 As shown in the figure, a method for judging node abnormality in a cloud computing environment. During the execution of the method, firstly, according to the process of Step1-Step2-Step3-Step4-Step5, it is traversed once, and then, according to the process of Step1-Step2-Step4-Step5 The process is traversed one at a time until execution is terminated.

[0100] The method steps are as follows: a node performance data collection step: collecting monitoring data of nodes in a cloud computing environment, and extracting and storing valid performance data; a node performance data conversion step: combining the valid performance data into a unified format of a data matrix; Anomaly detection model training steps: Use the transformed node performance data to calculate the total contribution rate of node data, index weight array and train anomaly detection model; Judging node status based on performance data Steps: Use the node anomaly detection model t...

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Abstract

The invention discloses a node abnormality judgment method in a cloud computing environment. The method includes a node performance data collection step; a node performance data conversion step; a node abnormality detection model training step; a node state judgment step based on performance data; a node abnormality detection model Update steps. The present invention collects and analyzes node performance data, and compares the states of adjacent nodes to timely determine abnormal nodes; the present invention uses the sliding time window mode and continuously updates the abnormality detection model, which can identify unknown abnormalities and realize cloud computing. Adaptive judgment of node abnormality in the environment.

Description

technical field [0001] The invention relates to a node abnormality judgment method in a cloud computing environment, and belongs to the field of cloud computing node abnormality detection. Background technique [0002] In recent years, the application technology of cloud computing has become more and more extensive. A node is the basic unit that provides computing, storage, management and other services in a cloud computing environment. However, a large number of malicious attacks and their own complexity and large-scale make the nodes in the cloud computing environment often abnormal, causing some or even all services to fail. Node anomaly detection technology is the key to ensuring performance and reliability in a cloud computing environment. Administrators can understand the running status of nodes by analyzing data, so as to take measures to detect and solve problems early. Lan Z et al. proposed an automatic detection framework for node-level anomaly identification for...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L43/0817H04L43/16G06K9/62
CPCH04L43/0817H04L43/16G06F18/214
Inventor 姜瑛雷阳汤守国李凌宇
Owner KUNMING UNIV OF SCI & TECH