Fujitsu Corporation

Masahiro Asaoka

Yukihiro Watanabe

Reiko Kondo

Hiroshi Otsuka

Ken Yokoyama

Kazuhiro Suzuki

Yuji Saito

Tetsuya Uchiumi

Fumi Iikura

Shingo Okuno

Takeshi Yasuie

Hiroshi Yamakawa

Koji Maruhashi

Yoshio Nakao

Nobuo Watanabe

Kazuo Tomoda

An information processing method executed by a computer includes: specifying one or a plurality of first physical resources on which virtual resources used by a first user operate; specifying a device connected to the first physical resource and one or a plurality of second physical resources different from the first physical resource, which is connected to the device and on which virtual resources used by a user other than the first user operate; and outputting information that indicates the first physical resource and information that indicates the second physical resource.

Information processing method, computer-readable recording medium storing information processing program, information processing apparatus, and information processing system

A method includes: acquiring, based on status information, a failure risk of each of a plurality of devices including physical devices and virtual machines, each of the virtual machines being operated on any of the physical devices, the status information indicating the statuses of the plurality of devices; acquiring an influence range based on route information indicating a link in a range affected by a failure; acquiring a first influence risk based on a failure risk acquired for a first device, the first physical device being any of the physical devices; acquiring a second influence risk based on a failure risk of a second device, the second influence risk indicating a possibility of a target device being affected by a failure in another device; and determining the second physical devices as a destination candidate of the target device when the second influence risk is lower than the first influence risk.

System management method, non-transitory computer-readable storage medium for storing system management program, and system management device

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

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

An apparatus includes a memory configured to store configuration information related to a physical machine and a virtual machine that operates on the physical machine, and temporal information indicating a time turnaround for migration of the virtual machine from the physical machine to another physical machine. Upon acquisition of data indicating a duration of a maintenance execution related to a physical machine, the apparatus produces, based on the configuration information and the temporal information stored in the memory, a constraint condition for the virtual machine that operates on the physical machine, where the constraint condition is used to determine a schedule of the migration. The apparatus produces schedule information of the migration, based on the constraint condition and the duration of the maintenance execution, and outputs the schedule information to a device used by a user of the virtual machine.

Non-transitory computer-readable recording medium, adjustment device, and adjustment method

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes determining an information transmission path between two devices with a correlation in use status of resources based on system configuration information and use resource information; generating, for each of a plurality of software, an influence propagation model in which a direction from a first device to a second device is set as an influence propagation direction, when a co-occurrence probability that the second device outputs a message within a certain time after the first device outputs a message through execution of the software is equal to or greater than a threshold, based on a message log; acquiring failure information indicating a failed device; specifying an influenced device reached by tracing the information transmission path from the failed device in an influence propagation direction; and outputting information indicating the influenced device.

Influence range specifying method, influence range specifying apparatus, and storage medium

An influence range identification apparatus includes a processor configured to acquire information indicating a first device in which a failure occurs. The processor searches for second devices starting from the first device based on a connection relationship among a plurality of devices. The second devices exist in a first influence range. The processor determines whether a third device exists among the second devices. The third device has abnormality due to the failure. The processor determines whether each of the second devices other than the third device exits in a second influence range starting from the third device based on the connection relationship among the second devices. The processor determines a rank of a degree of a possibility of being affected by the failure with respect to each of the second devices other than the third device.

Influence range identification method and influence range identification apparatus

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 failure analysis program that causes a computer to execute a process includes: extracting, for respective incidents, first material names that satisfy a first condition from character strings included in each incident; extracting, for the respective incidents, second material names, which are the same material names as the first material names, from the character strings included in each incident; calculating a combination of feature values corresponding respectively to the one or more features from character strings correlated with the extracted second material names, for the respective incidents and for the respective second material names; and specifying a specific combination that satisfies a second condition from the combinations of feature values corresponding to the respective material names, for the respective second material names.

Failure analysis program, failure analysis device, and failure analysis method

With reference to information storing a co-occurrence probability of each of plural words in association with each of distribution-destinations, the apparatus extracts, from a message to be distributed, an unknown-word that is not included in the plural words, where the co-occurrence probability indicates a probability that each word is included in a message to be distributed to each distribution-destination. When the unknown-word is present in the message at a predetermined ratio or greater, the apparatus extracts first-words included in all of a first-group of messages each including the unknown-word, calculates the co-occurrence probability of the unknown-word for each distribution-destination, based on the information regarding the distribution-destinations to which a message including the first-words and a second-word, which is included in all of a second-group of messages each including the first-words and not including the unknown-word, is to be distributed, and registers the calculated co-occurrence probability in the information.

Apparatus and method to determine a distribution destination of a message based on a probability of co-occurrence of words included in distributed messages

A computer executes a process of: generating co-occurrence-message bunches by summarizing messages based on a relation in which the messages output from an apparatus are mutually output within a predetermined period; classifying the generated co-occurrence-message bunches into groups based on similarity among the co-occurrence-message bunches; determining a first message which is a representative of each of the groups based on an appearance characteristic of a word or a word string included in each message of each of the groups; determining a second message which is a representative of each of the co-occurrence-message bunches and is not repeated based on an appearance characteristic of a word or a word string included in each message in each co-occurrence-message bunch of each of the groups; and outputting the first message determined for the group including each co-occurrence-message bunch and the second message determined for each co-occurrence-message bunch in correlation with each co-occurrence-message bunch.

Information processing apparatus and control method for information processing apparatus

An execution-flow-creation aiding apparatus obtains a written operation procedure that represents an operation procedure of a series of tasks involved in operation work. The execution-flow-creation aiding apparatus refers to component information and based on a result of comparing the task name of a task included among the series of tasks involved in operation work and the component name of a component, associates the task and the component. The execution-flow-creation aiding apparatus selects among the series of tasks, a second task that is not associated with a component and that is immediately before or after a first task associated with a given component. The execution-flow-creation aiding apparatus refers to the component information and based on a result of comparing the task name of the selected second task and the variable name of a variable provided when the given component is executed, associates the second task with the given component.

Creating execution flow by associating execution component information with task name

A method includes: acquiring messages output by items in the system, each of messages including an output time; referring to the messages and setting item pairs which combine two items among the items, as target item pairs; determining, for each of the item pairs, a strength of relevancy between the target item pairs based on a co-occurrence probability which indicates that a message is output from one of the target item pair within a prescribed time period before or after the output time of a message output from other of the target item pair; and determining a priority ranking for investigating one or more the items among the items other than a certain item based on the strength of relevancy of each of item pairs, as a response to an input of an investigation ranking determination instruction which designates the certain item among the items as an investigation start position.

Computer-implemented method, system, and storage medium

An entrustee information transmitting method includes an entrustment managing storage storing entrustment relationship information indicating correspondence between entrusters who are voters performing entrustment and entrustees who are voters entrusted by the entrusters in an entrustment managing storage unit; an attendance managing storage storing attendance information of respective voters in an attendance managing storage unit in units of bills; an indirect-entrustment voter extracting operation of extracting one or more indirect-entrustment voter who indirectly entrust an attendee by using the entrustment relationship information and the attendance information; an entrustee determining operation of determining attendees who are indirectly entrusted by the indirect-entrustment voters to be recommended entrustees; and an entrustee information transmitting operation of transmitting information of the recommended entrustees.

Entrustee information transmitting apparatus, entrustee information transmitting method and computer readable medium having a program implementing same

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Kawasaki, Japan

Masahiro Asaoka