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Node exception judgment method in cloud computing environment

A cloud computing environment, abnormal judgment technology, applied in computing, computer components, digital transmission systems, etc., can solve problems such as service failure, large-scale complexity, node abnormality, etc.

Active Publication Date: 2019-11-26
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • Node exception judgment method in cloud computing environment
  • Node exception judgment method in cloud computing environment
  • Node exception judgment method in cloud computing environment

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Embodiment 1

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

[0100] The method steps are as follows: node performance data collection step: collect node monitoring data in a cloud computing environment, extract and store effective performance data; node performance data conversion step: combine effective performance data into a unified format of the data matrix; node Anomaly detection model training step: use the converted node performance data to calculate the total contribution rate of node data, index weight array and train anomaly detection model; determine node status based on performance data step: use node anomaly detection model to judge the node status and mark Data...

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Abstract

The invention discloses a node exception judgment method in a cloud computing environment. The method comprises a node performance data acquisition step; a node performance data conversion step of training a node anomaly detection model; judging a node state based on the performance data; and a node anomaly detection model updating step. According to the invention, by collecting and analyzing nodeperformance data and comparing states of adjacent nodes, abnormal nodes can be judged in time. The sliding time window mode is used, the anomaly detection model is continuously updated, unknown anomalies can be recognized, and node anomalies are judged in a self-adaptive mode in the cloud computing 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 services such as computing, storage, and management 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 all services to fail. Node anomaly detection technology is the key to ensuring performance and reliability in the cloud computing environment. Administrators can analyze the data to understand the operating status of nodes, so as to take measures to find and solve problems early. Lan Z et al. proposed an automatic detection framework for node-level anomaly recognition for large-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26G06K9/62
CPCH04L43/0817H04L43/16G06F18/214
Inventor 姜瑛雷阳汤守国李凌宇
Owner KUNMING UNIV OF SCI & TECH