Abstract: 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.

Abstract: A process includes, wherein a subset of elements of first training-data that includes elements is masked in second training-data, generating, from the second training-data, third training-data in which a subset of elements of data that includes output of a generator that estimates an element appropriate for a masked-portion in the first training-data and a first element other than the masked-portion in the second training-data is masked, and updating a parameter of a discriminator, which identifies whether the first element out of the third training-data replaces an element of the first training-data and which estimates an element appropriate for the masked-portion in the third training-data, so as to minimize an integrated loss function obtained by integrating first and second loss functions that are calculated based on output of the discriminator and the first training-data and that are respectively related to an identification result and an estimation result of the discriminator.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A generation method for a computer to execute a process includes acquiring performance information of a container, which has been implemented in a first node and has been using a first network interface owned by the first node, after the container is moved to a second node different from the first node; specifying performance information of a second network interface, which represents a feature similar to a feature represented by the acquired performance information of the container after being moved, among performance information of a network interface owned by the second node; and generating correspondence information that associates performance information of the first network interface with the specified performance information of the second network interface.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.