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ICT ICT SYSTEM AND METHOD FOR MANAGEMENT OF ICT INFRA

机译:信息通信技术信息通信技术系统和管理信息通信技术基础设施的方法

摘要

According to an embodiment of the present invention, provided is an ICT infrastructure management system for predicting generation of abnormality or fault of an ICT infrastructure based on a machine learning method using an artificial neural network, comprising: a memory storing an ICT infrastructure management program; a data input/output module performing data input/output; and a processor. The ICT infrastructure management program is driven by the processor to collect fault training data, performance training data, log training data, and event code data from the various data transmitted from the ICT infrastructure by using a fault monitoring module, a log classification processing module, and an event processing module, respectively. In addition, the ICT infrastructure management program generates an abnormality and fault learning model which has learned an abnormal and fault state of the ICT infrastructure according to an abnormality detection learning model and an instruction learning method which has learned an abnormal state of the ICT infrastructure according to a non-instruction learning method based on each of the training data, and inputs inputted data collected in real-time to the abnormality detection learning model and the abnormality and fault learning model so as to predict an abnormality symptom of the ICT infrastructure and a fault thereof.
机译:根据本发明的实施例,提供一种用于基于使用人工神经网络的机器学习方法来预测ICT基础设施的异常或故障的产生的ICT基础设施管理系统,包括:存储器,其存储ICT基础设施管理程序;数据输入/输出模块,进行数据输入/输出;和一个处理器。 ICT基础结构管理程序由处理器驱动,以使用故障监视模块,日志分类处理模块从ICT基础结构传输的各种数据中收集故障培训数据,性能培训数据,日志培训数据和事件代码数据,和事件处理模块。另外,ICT基础设施管理程序根据异常检测学习模型生成学习了ICT基础设施的异常和故障状态的异常和故障学习模型,以及生成了学习了ICT基础设施的异常状态的指令学习方法。基于每个训练数据的非指令学习方法,并将实时收集的输入数据输入到异常检测学习模型以及异常和故障学习模型中,以预测ICT基础设施的异常症状和故障。其故障。

著录项

  • 公开/公告号KR20180108446A

    专利类型

  • 公开/公告日2018-10-04

    原文格式PDF

  • 申请/专利权人 MOADATA CO. LTD.;

    申请/专利号KR20180027453

  • 发明设计人 HAN SANG JIN;LEE JONG HOON;KIM YUN SANG;

    申请日2018-03-08

  • 分类号H04L12/24;H04L12/26;

  • 国家 KR

  • 入库时间 2022-08-21 12:39:03

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