发明名称 Monitoring data analyzing apparatus, monitoring data analyzing method, and monitoring data analyzing program
摘要 An object of the present invention is to improve prediction accuracy for a performance value of a monitoring target system even if the performance value is substantially different for each of patterns of use. A monitoring data analyzing apparatus includes a regression-model recalculating section 14 configured to combine regression models, which are generated for each of a plurality of groups into which log data including monitoring data in a monitoring target system set as a target of performance management is classified, using the log data belonging to the groups corresponding to the regression models and test target log data, which is the log data set as a target of a performance test, to recalculate the regression models.
申请公布号 US9465713(B2) 申请公布日期 2016.10.11
申请号 US201113824539 申请日期 2011.12.12
申请人 NEC CORPORATION 发明人 Tonouchi Toshio
分类号 G06F7/60;G06F13/10;G06F11/34 主分类号 G06F7/60
代理机构 Sughrue Mion, PLLC 代理人 Sughrue Mion, PLLC
主权项 1. A monitoring data analyzing apparatus comprising: a processor; and memory for storing processor executable instructions that perform a step described in the following sections; a data accumulating section configured to accumulate log data including monitoring data in a monitoring target system set as a target of performance management; a data classifying section configured to classify the log data into a plurality of groups on the basis of characteristics of use status data included in the log data and indicating statuses of use of components of the monitoring target system; a regression-model generating section configured to execute a regression analysis of the log data and generate a regression model for each of the groups; a regression-model recalculating section configured to combine regression models, which are generated for each of the groups into which the log data is classified, using the log data belonging to the groups corresponding to the regression models and test target log data, which is the log data set as a target of a performance test, to recalculate the regression models; a characteristic-data-item extracting section configured to extract, out of data items included in the log data. the data items related to an explanatory variable of the regression models as characteristic data items; and a performance-value calculating section configured to calculate a performance value, which is an objective variable of the regression models, by using the regression models recalculated by the regression-model recalculating section, wherein the regression-model recalculating section calculates, for each of the groups, ratios of values of the characteristic data items with respect to the explanatory variable and combines the regression models of the groups using the calculated ratios to calculate regression models per characteristic data item, which are the regression. models concerning the characteristic data items, and combines the calculated regression models per characteristic data item according to appearance ratios of values of the characteristic data items included in the test target log data to recalculate the regression models; and performs the performance test based on at least the recalculated regression models.
地址 Tokyo JP