Nec Corporation

Kiyoshi Kato

Hiroyuki Miyazaki

Hideo Hasegawa

Shinichiro Yoshida

Kentarou Yabuki

Ryuichi Hiraike

Mitsuhiro Oono

A monitoring apparatus according to the present invention includes: a predicting unit configured to, based on a correlation model that corresponds to processing executed in a monitored object in accordance with a preset operation plan and represents a mutual relation between one measured value and other measured value measured from the monitored object, predict the other measured value when the one measured value is changed; and a determining unit configured to determine whether or not the predicted other measured value exceeds an allowable value set for the other measured value during the processing executed in the monitored object in accordance with the operation plan.

Monitoring method, monitoring apparatus, and program

Accuracy of risks defined for abnormalities that might occur in a system is improved. The risk determination deviceincludes a classification unitand a determination unit. The classification unitclassifies abnormal patterns, each representing a relationship among metrics at a time of abnormality detection in a system, into groupsbased on a similarity between the abnormal patterns. The determination unitdetermines, based on the number of abnormal patternsclassified into each of the groups, likelihood of an abnormality of the corresponding group

Information processing device, information processing method, and recording medium

In a system operations management apparatus, a burden to a system administrator when providing a decision criterion in detection of a failure in the future is reduced. The system operations management apparatusincludes a performance information accumulation unit, a model generation unitand an analysis unit. The performance information accumulation unitstores performance information including a plurality of types of performance values in a system in time series. The model generation unitgenerates a correlation model including one or more correlations between the different types of performance values stored in the performance information accumulation unitfor each of a plurality of periods having one of a plurality of attributes. The analysis unitperforms abnormality detection of the performance information of the system which has been inputted by using the inputted performance information and the correlation model corresponding to the attribute of a period in which the inputted performance information has been acquired.

System operations management apparatus, system operations management method and program storage medium

An operation management apparatus for discerning a bottleneck of a system in an execution environment of a migration-destination without operating the system in the execution environment of the migration-destination is provided. The operation management apparatus () includes a correlation model storage unit () and a prediction model generation unit (). The correlation model storage unit () stores a correlation model () indicating a correlation for each pair of one or more metrics in a state of executing a predetermined program processing in a first processing system. The prediction model generation unit () generates, by correcting the correlation model () of the first processing system using benchmark performances acquired in a state of executing a predetermined benchmark processing in the first processing system and a second processing system, a prediction model () of a correlation model in a state of executing the predetermined program processing in the second processing system.

Operation management apparatus and operation management method

An operation management apparatus to improve the accuracy of the estimation of the processing performance needed for the execution environment of the migration-destination, is provides, which is performed in system migration. In an operation management apparatus, a correlation model storage unitstores a correlation model indicating a correlation for each pair of one or more metrics in a state of executing a predetermined program in a first processing system. A benchmark performance collection unitcollects values of a metric having a correlation with another metric in the correlation model in a state of executing a predetermined benchmark process in the first processing system and a second processing system, respectively. A performance comparison unitcalculates and outputs a performance ratio of a metric in the second processing system to the metric in the first processing system, based on the values of the metrics in the state of executing the predetermined benchmark process in the first processing system and the second processing system, respectively.

An operation management device includes: an information collection module which collects, from a managed device, first and second performance information showing a time series change in the performance information; a correlation model generation module which derives a correlation function between the first and second performance information and creates a correlation model based on the correlation function; a correlation change analysis module which judges whether or not the current first and second performance information acquired by the information collection module satisfy the relation shown by the conversion function between the first and second performance information of the correlation model within a specific error range; and a failure period extraction module which, when the first and second performance information does not satisfy the relation shown by the conversion function of the correlation model , extracts a period of that state as a failure period.

Operation management device, operation management method, and operation management program

An operation management device includes: an information collection module which collects, from a managed device, first and second performance information showing a time series change in the performance information; a correlation model generation module which derives a correlation function between the first and second performance information and creates a correlation model based on the correlation function; a correlation change analysis module which judges whether or not the current first and second performance information acquired by the information collection module satisfy the relation shown by the conversion function between the first and second performance information of the correlation model within a specific error range; and a failure period extraction module which, when the first and second performance information does not satisfy the relation shown by the conversion function of the correlation model, extracts a period of that state as a failure period.

An operations management apparatus which acquires performance information for each of a plurality of performance items from a plurality of controlled units and manages operation of the controlled units includes a correlation model generation unit which derives a correlation function between a first element and a second element of the performance information, generates a correlation model between the first element and the second element based on the correlation function, and obtains the correlation model for each element pair of the performance information, and a model searching unit which searches for the correlation model for each element between an input element and an output element among elements of the performance information in series, and predicts a value of the output element from a value of the input element based on the searched correlation model.

Operations management apparatus, operations management system, data processing method, and operations management program

Diverting condition storage unitstores diverting conditions describing conditions for hardware configurations and software configurations. Monitoring data storage unitstores monitoring data on the hardware configurations and the software configurations on monitored devices. Monitoring setting information storage unit stores monitoring setting information on the monitored devices. By referencing monitoring data and diverting conditions, first setting-diverting unit judges if monitoring setting information set in a monitored device may be diverted as monitoring setting information on another monitored device and outputs the result to a management terminal. The system administrator diverts the monitoring setting information among multiple monitored devices based on judgment result.

Monitoring device, monitoring system, monitoring method, and program

An operation management apparatus decides that newly-generated event data and previously-existing predictive event data match if the attribute values of the event data match the attribute values of the predictive event data excluding reference values. In such a case, the apparatus identifies individual filter information whose attribute values excluding reference values match the attribute values of the event data, and substitutes the attribute values of the event data for variables in each piece of individual filter information belonging to a group to which the individual filter information belongs, thereby generating predictive event data for each piece of individual filter information. The apparatus decides whether or not each piece of event data that is associated in a predictive event index with the group to which the individual filter information that matches the event data used for generating the predictive event data belongs satisfies the individual filter information of operation rule information corresponding to the group, and if satisfies, performs processing defined by the operation rule information.

Operation management apparatus, operation management method, and operation management program

An operations management apparatus which acquires performance information for each of a plurality of performance items from a plurality of controlled units and manages operation of the controlled units includes a correlation model generation unit which derives a correlation function between a first series of performance information that indicates time series variation about a first element and a second series of performance information that indicates time series variation about a second element, generates a correlation model between the first element and the second element based on the correlation function, and obtains the correlation model for each element pair of the performance information, and a correlation change analysis unit which analyzes a change in the correlation model based on the performance information acquired newly which has not been used for generation of the correlation model.

An operations management apparatus is provided which acquires performance information for each of a plurality of performance items from a plurality of controlled units, and manages operation of the controlled units, The operations management apparatus includes a correlation model generation unit and a model searching unit. The correlation model generation unit derives a correlation function between a first element and a second element of the performance information, generates a correlation model between the first element and the second element based on the correlation function, and obtains the correlation model for each element pair of the performance information. The model searching unit searches for the correlation model for each element between an input element and an output element among elements of the performance information in series, and predicts a value of the output element from a value of the input element based on the searched correlation model.

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Tokyo, Japan

Kiyoshi Kato