Abstract: The CPU of the management node measures the power consumption of a computer node while causing the computer node to execute the power measurement benchmark that uses hardware whose resource is allocated to a program to be executed by the computer node, where the CPU is changing the use amount of the resource while causing the computer node to execute the power measurement benchmark. The CPU generates a power consumption model representing a relationship between an allocation amount of the resource to be allocated to the program and the power consumption on the basis of a measurement result obtained by measuring the power consumption.

Abstract: A management node that manages performance resource amount information indicating a relationship between a resource amount of hardware allocated to software executed in a predetermined node and performance of the software includes a storage unit and a processor connected to the storage unit. The management node is configured to store a performance model management table in which a performance model is associated with an execution environment in which an application of a computing node is executed, in the storage unit, acquire operation information capable of specifying performance of the application executed in the execution environment, and modify the performance model corresponding to the execution environment based on the operation information.

Abstract: A control server checks whether a resource necessary for process execution is present in a computer system. The control server determines that generating a placement plan is possible when relative guarantee is possible, the relative guarantee guaranteeing a guarantee volume that is at least an absolute resource volume and, if possible, guaranteeing a resource volume reaching an upper limit volume, for a reservation acceptance limit, and starts generating the placement plan. In a period between right after the start of generation of the placement plan and right before permission to selection/approval of the proposed placement plan, the control server makes a reservation with relative guarantee that for the resource and the reservation acceptance limit, makes the guarantee volume and the upper limit volume for the resource volume of the resource different respectively from the guarantee volume and the upper limit volume for the reservation acceptance limit.

Abstract: A management node that controls a hardware resource amount of a node to be allocated to a distributed data store includes: a disk device that stores an application performance model indicating a correspondence relationship between an application performance and a distributed data store performance, and stores a data store performance model indicating a correspondence relationship between the hardware resource amount and data store performance of the distributed data store; and a CPU. The CPU is configured to: receive target performance information by the application; determine a required performance which is a distributed data store performance required for achieving a performance to be specified by the target performance information based on the application performance model; determine a hardware resource amount required for achieving the required performance based on the data store performance model; and set the determined resource amount to be allocated to the distributed data store.

Abstract: Sentences associated with diagrams or tables are extracted in a wider range. In a sentence extracting device that includes a processor and extracts a sentence associated with a diagram or a table from a body of a digital document including the diagram or the table and the body, the diagram or the table includes a label, a caption, and a body. The processor includes extraction units 202 to 205 that extract, from the body, a sentence including a second word associated with a first word included in the body of the diagram or the table.

Abstract: A management node that controls a hardware resource amount of a node to be allocated to a distributed data store includes: a disk device that stores an application performance model indicating a correspondence relationship between an application performance and a distributed data store performance, and stores a data store performance model indicating a correspondence relationship between the hardware resource amount and data store performance of the distributed data store; and a CPU. The CPU is configured to: receive target performance information by the application; determine a required performance which is a distributed data store performance required for achieving a performance to be specified by the target performance information based on the application performance model; determine a hardware resource amount required for achieving the required performance based on the data store performance model; and set the determined resource amount to be allocated to the distributed data store.

Abstract: In a management node that controls the amount of hardware resources of storage nodes to be allocated to the software of distributed data stores executed by storage nodes, the management node includes a disk device that stores a performance model indicating the correspondence relationship between the amount of hardware resources and the performance that can be implemented by the hardware of the resource amount, and a central processing unit (CPU) connected to the disk device, in which the CPU receives the target performance by distributed data stores, determines the hardware resource amount required to achieve the target performance based on the performance model, and sets to allocate hardware of the determined resource amount to the programs of the distributed data stores.

Abstract: In a management node that controls the amount of hardware resources of storage nodes to be allocated to the software of distributed data stores executed by storage nodes, the management node includes a disk device that stores a performance model indicating the correspondence relationship between the amount of hardware resources and the performance that can be implemented by the hardware of the resource amount, and a central processing unit (CPU) connected to the disk device, in which the CPU receives the target performance by distributed data stores, determines the hardware resource amount required to achieve the target performance based on the performance model, and sets to allocate hardware of the determined resource amount to the programs of the distributed data stores.

Abstract: In a management node that controls the amount of hardware resources of storage nodes to be allocated to the software of distributed data stores executed by storage nodes, the management node includes a disk device that stores a performance model indicating the correspondence relationship between the amount of hardware resources and the performance that can be implemented by the hardware of the resource amount, and a central processing unit (CPU) connected to the disk device, in which the CPU receives the target performance by distributed data stores, determines the hardware resource amount required to achieve the target performance based on the performance model, and sets to allocate hardware of the determined resource amount to the programs of the distributed data stores.

Abstract: Provided is a distributed storage device that reduces the number of inter-node communication in inter-node deduplication. The storage node determines whether data that is a processing target duplicates with data stored in the shared block storage. When it is determined that the data is duplicated, deduplication of the data that is the processing target is performed by storing information on a storage destination of the data related to the duplication with a storage node that processes the data that is the processing target. When a read request of the data is received, the storage node that processes the data that is the processing target reads the data in the shared block storage using the information on the storage destination.

Abstract: Time required for a file server to determine files to be migrated from a first storage region to a second storage region is reduced. A file service system coupled to the storage system for providing a first storage region and a second storage region stores identifiers of files that have been accessed by a client, in accessed file identifier information and determines the files to be migrated from the first storage region to the second storage region based on metadata of the files stored in the first storage region and the accessed file identifier information.

Abstract: Time required for a file server to determine files to be migrated from a first storage region to a second storage region is reduced. A file service system coupled to the storage system for providing a first storage region and a second storage region stores identifiers of files that have been accessed by a client, in accessed file identifier information and determines the files to be migrated from the first storage region to the second storage region based on metadata of the files stored in the first storage region and the accessed file identifier information.

Abstract: Time required for a file server to determine files to be migrated from a first storage region to a second storage region is reduced. A file service system coupled to the storage system for providing a first storage region and a second storage region stores identifiers of files that have been accessed by a client, in accessed file identifier information and determines the files to be migrated from the first storage region to the second storage region based on metadata of the files stored in the first storage region and the accessed file identifier information.

Abstract: According to the prior art virtual file backup method, backup is performed without saving a file configuration information, so that the backup file cannot be restored as a virtual file during restoration, and the usage capacity of the disk is increased. According to the present invention, an actual data managed by a virtual file, an actual data managed by one or more element files and a configuration information of the virtual file are respectively stored during backup, wherein during restoration, the virtual file is restored based on the configuration information of the virtual file.

Abstract: An information processing service is allowed to be immediately recovered from failure without clustering information apparatuses that provide an information processing service.

Abstract: In order to provide HSM that can effectively use the storage capacity of an upper Tier in an HSM system, a lower Tier of the HSM system detects a group of files having the same data content from a plurality of files stored in the lower Tier, and keeps at least one of the real data of the group of files having the same data content while deleting the rest of the data. The upper Tier receives the process result from the lower Tier. Then, in response to a read request from the host computer that specifies a file included in the group of files and transferred to the upper Tier from the lower Tier, the upper Tier identifies the at least one of the data that is kept and corresponding to the specified file, and responds to the host computer.

Abstract: In order to provide HSM that can effectively use the storage capacity of an upper Tier in an HSM system, a lower Tier of the HSM system detects a group of files having the same data content from a plurality of files stored in the lower Tier, and keeps at least one of the real data of the group of files having the same data content while deleting the rest of the data. The upper Tier receives the process result from the lower Tier. Then, in response to a read request from the host computer that specifies a file included in the group of files and transferred to the upper Tier from the lower Tier, the upper Tier identifies the at least one of the data that is kept and corresponding to the specified file, and responds to the host computer.

Abstract: An information processing service is allowed to be immediately recovered from failure without clustering information apparatuses that provide an information processing service.

Abstract: Time required for a file server to determine files to be migrated from a first storage region to a second storage region is reduced. A file service system coupled to the storage system for providing a first storage region and a second storage region stores identifiers of files that have been accessed by a client, in accessed file identifier information and determines the files to be migrated from the first storage region to the second storage region based on metadata of the files stored in the first storage region and the accessed file identifier information.

Abstract: In order to provide HSM that can effectively use the storage capacity of an upper Tier in an HSM system, a lower Tier of the HSM system detects a group of files having the same data content from a plurality of files stored in the lower Tier, and keeps at least one of the real data of the group of files having the same data content while deleting the rest of the data. The upper Tier receives the process result from the lower Tier. Then, in response to a read request from the host computer that specifies a file included in the group of files and transferred to the upper Tier from the lower Tier, the upper Tier identifies the at least one of the data that is kept and corresponding to the specified file, and responds to the host computer.