Fujitsu Corporation

Tetsuya Uchiumi

Yukihiro Watanabe

Yuji Saito

Yasuhide Matsumoto

Reiko Kondo

Masahiro Asaoka

Kazuhiro Suzuki

Shinji Kikuchi

Fumi Iikura

Shinya Kitajima

Shingo Okuno

Hiroshi Otsuka

Toshihiro Kodaka

Time-series data indicating a temporal variation of an index, which indicates a usage state of each of resources that are used by multiple processes, is acquired, and an operation-data matrix including vectors is generated based on the time-series data such that each of the vectors indicates the time-series data at a predetermined time interval and includes as an element the index indicating the usage state of one of the resources at the predetermined time interval. A basis matrix including a predetermined number of basis vectors is generated by performing nonnegative matrix factorization on the operation-data matrix. Component values, which respectively correspond to the resources, indicated by each of the predetermined number of the basis vectors are extracted, and information on the extracted component values is output as usage states of the resources that are used by each of the multiple processes.

Analysis of time-series data indicating temporal variation in usage states of resources used by multiple processes

An analysis method includes: executing first accumulation processing for accumulating analysis reports including an analysis item regarding an analysis target and analysis results with respect to the analysis item; executing first extraction processing for extracting the analysis item and texts representing the analysis results from each of the analysis reports accumulated; executing first identification processing for identifying analysis techniques corresponding to the texts extracted; executing generation processing for generating analysis patterns; executing second identification processing for identifying first analysis patterns; executing third identification processing for identifying other analysis patterns; executing second accumulation processing for accumulating pattern information; executing second extraction processing for extracting the analysis item and the texts from a new analysis report; and executing output processing for identifying an analysis technique.

Analysis method, analysis apparatus, and non-transitory computer-readable storage medium for storing program

A method performed by an apparatus is provided. The apparatus extracts a virtual machine before starting operation from among virtual machines within a range of influence of a failure upon detection of the failure. With reference to a storage unit storing history information concerning operation of a virtual machine, the apparatus generates first information corresponding to time intervals of operation start time of the extracted virtual machine, second information corresponding to movement required time required to move the extracted virtual machine out of the range of influence of the failure, and third information corresponding to recovery required time required for recovery of the failure detected to have occurred. The apparatus determines whether to move the extracted virtual machine out of the range of influence of the failure, based on the generated first, second, and third information.

Effective selection of a virtual machine to be moved outside influence range of a failure

A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process including creating a frequent message group based on an appearance frequency of each message included in a message group that is generated in the past, in response to a generation of an error message; extracting, as an error periphery log, a message group within a predetermined time period before and after the error message from an accumulated message group; determining whether or not the error message is included in the frequent message group based on a degree of relation between the error periphery log and the frequent message group; and outputting a message that is not included in the frequent message group in the error periphery log as a related message associated with the error message based on a result of the determining.

Output method and information processing apparatus

An apparatus obtains, from a first device, an identifier of a higher-order service for which occurrence of an abnormality or a possibility of being affected by an abnormality has been detected, where the first device searches for a range of effects of failure within a higher-order service layer that provides a higher-order service using a service provided in an object-service layer within a cloud service providing a layered structure of services. The apparatus determines a service within the object-service layer, which is reachable by tracing relations among services from the detected higher-order service, to be an in-effect-range service for which there is a possibility of being affected by an abnormality, and transmits the identifier of the in-effect-range service to a second device that searches for a range of effects of failure at a lower-order service layer that provides a lower-order service used to provide a service within the object-service layer.

Apparatus and method to improve precision of identifying a range of effects of a failure in a system providing a multilayer structure of services

A computer-readable recording medium storing therein a report preparation program that causes at least one of storages and a computer coupled to the at least one of storages to execute a process for calculating an individual-feature quantity with respect to an input output per second (IOPS) of the at least one of storages for each piece of time-series data included in a time-series data group with respect to the IOPS; statistically processing the calculated individual-feature quantity of the time-series data group; calculating an entire-feature quantity based on the statistically processing; referring to a learning model generated based on at least one of learning time-series data groups and contents of a report for the at least one of learning time-series data groups, the learning model representing a relationship between an entire-feature quantity and contents of the report; and outputting information on contents of the report corresponding the calculated entire-feature quantity.

Report preparation program and report preparation method

A non-transitory computer-readable storage medium storing therein a dependency information provision program for causing a computer to execute a process includes: acquiring history information of an amount of data associated with realization of a service by using first software and information regarding second software that can be used to realize the service, specifying information relating to the second software that is substitutable for the first software, from the acquired information relating to the second software, and providing information for determining whether or not to migrate from the first software, which is being used to realize the service, to the second software that is substitutable for the first software, based on the acquired history information and the specified information relating to the second software.

Dependency information provision program, dependency information provision apparatus, and dependency information provision method

An extraction method comprising: acquiring configuration information indicating a configuration of a processing device for each generation that represents a respective time period between configuration modifications, and extracting first information indicating configuration modifications between generations based on a plurality of generations of the acquired configuration information; acquiring performance information indicating various types of performance of the processing device at respective times, and extracting, as second information associated with one of the generations, a time when an abnormality was detected in change to a time series of the acquired performance information; acquiring event information indicating an event occurring in the processing device at respective times, and extracting, as third information associated with one of the generations, a time of event information creation when an abnormality was detected; and extracting the first information, the second information, and the third information that have a relationship to each other.

Extraction method and device

An information processing method for supporting data setting include: extracting a first feature value for each of plural parameters from first data that is data after at least one parameter value, which is included in second data that includes, for each of plural setting targets, each parameter value for each of the plural parameters, was changed; and extracting a parameter that is a candidate of an erroneously changed parameter based on a difference between a second feature value that is extracted, for each of the plural parameters, from the second data and a corresponding first feature value.

Information processing technique for supporting data setting

An administration device in a system in which a first device group and a second device group are connected to a network. The administration device acquires first communication history of the first device group and second communication history of the second device group, compares first specific information which specifies communication source and communication destination of the first communication history and second specific information which specifies communication source and communication destination of the second communication history while referring to relating information and detects a setting error of the second specific information set in the devices of the second device group based on a result of the comparison.

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Kawasaki, Japan

Tetsuya Uchiumi