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公开(公告)号：US10248528B2
公开(公告)日：2019-04-02
申请号：US15280825
申请日：2016-09-29
Inventor： Dong Wang , Bo Wang , Beibei Miao , Yun Chen , Xuanyou Guo , Xianping Qu
Abstract: A system monitoring method and apparatus comprises: collecting periodically status indicator data of a monitored system to generate a status indicator data sequence; selecting predetermined pieces of status indicator data according to data collecting time in a reverse chronological order; determining a category from predetermined categories, the predetermined pieces of status indicator data belonging to the determined category; selecting, from the historical status indicator data, status indicator data belonging to the determined category and obtained in a collection period as characteristic data of the determined category; calculating a predicted value of a status indicator of the system at a predicting moment using the characteristic data; and determining whether the system is abnormal, based on a difference between the calculated predicted value and a true value of the status indicator of the system collected at the predicting moment. The present implementation can accurately find the abnormality of the system rapidly.
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公开(公告)号：US20170371757A1
公开(公告)日：2017-12-28
申请号：US15280825
申请日：2016-09-29
Inventor： Dong Wang , Bo Wang , Beibei Miao , Yun Chen , Xuanyou Guo , Xianping Qu
CPC classification number: G06F11/3055 , G06F11/0721 , G06F11/0751 , G06F11/0754 , G06F11/3006 , G06F11/3051 , G06F11/327 , G06F11/3452 , G06F11/3495 , G06F2201/81
Abstract: A system monitoring method and apparatus comprises: collecting periodically status indicator data of a monitored system to generate a status indicator data sequence; selecting predetermined pieces of status indicator data according to data collecting time in a reverse chronological order; determining a category from predetermined categories, the predetermined pieces of status indicator data belonging to the determined category; selecting, from the historical status indicator data, status indicator data belonging to the determined category and obtained in a collection period as characteristic data of the determined category; calculating a predicted value of a status indicator of the system at a predicting moment using the characteristic data; and determining whether the system is abnormal, based on a difference between the calculated predicted value and a true value of the status indicator of the system collected at the predicting moment. The present implementation can accurately find the abnormality of the system rapidly.
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