Abstract:
A first system receives values with identifiers of the values from one or more clients. The first system enters the values sequentially into a first data store. The first system associates each of the values with a sequence ID indicating a position in entry sequence of the values into the first data store. The first system transmits a first identifier of a first value and a first sequence ID associated with the first value to a second system. The first system transmits the first sequence ID and the first value to the second system after transmitting the first identifier and the first sequence ID. The second system holds the first identifier and the first sequence ID transmitted from the first system in a first queue. The second system enters the first value received after the first identifier from the first system into a second data store.
Abstract:
In a computer, a logical partition for calculation in which an OS and an application operate and a logical partition for storage for providing a storage function are constructed. In the logical partition for calculation, a device corresponding to a storage device is provided, while the logical partition for storage provides a volume. A memory space that can be shared by the both logical partitions is prepared, and management information describing a sorting destination or a sorting method of an I/O request issued by an application is provided in the memory. If the logical partition for calculation receives an I/O request from the application, the partition refers to the management information and sorts the I/O request to the storage device or the logical partition for storage. The logical partition for storage processes the received I/O request by the storage function and transmits the result to the storage device.
Abstract:
A converged system and migration method capable of preventing system performance degradation with respect to data transfer is proposed. A first calculation node continues executing I/O processing in response to an I/O request from an application; and, upon execution of the I/O processing, the first calculation node issues an I/O processing event notice indicating a transfer status of data on which the I/O processing has been executed. When receiving a migration command from a migration management unit, a second calculation node judges whether or not data stored in a first I/O node is data which should be transferred, based on the I/O processing event notice; and then transfers the data, which should be transferred, to a third calculation node.
Abstract:
A management system manages at least a storage system. The management system decides two or more logical storage devices configuring a logical volume to be provided to an application. The management system decides two or more MPs that undertake processes on the two or more logical storage devices, respectively. The management system allocates the decided two or more MPs to the decided two or more logical storage devices such that one MP is allocated to one logical storage device.
Abstract:
A method for supply chain construction. The method may include, for receipt of a search for a specified company, obtaining a supplier list and sales information for a plurality of companies associated with the specified company; tracing purchased components and suppliers of the purchased components by item category from supplier-buyer relationship in the supplier list to generate a supply web; calculating sales ratios using the supplier-buyer relationship and the sales information; calculating component probability of the purchased components in association with a plurality of products by using the sales ratios, wherein each of the plurality of product is formed from a number of the purchased components; estimating product-component relationship using the supply web and the component probability for the plurality of products and the purchased components; and generating product specific supply chain associated with the purchased components and the suppliers for the specified company.
Abstract:
An analysis management server stores a factory A catalog group including a plurality of catalogs in factory A, an application destination catalog including a plurality of catalogs in factory B, and an application source analysis data correspondence table associating columns between a target table of factory A and a defect factor analysis table. A CPU is configured to: identify an unconnected catalog for which a catalog of factory B having an identical correspondence does not exist among the plurality of catalogs of factory A included in the application source analysis data correspondence table; identify an unconnected correspondence, which is a correspondence of the unconnected catalog in the application source analysis data correspondence table, sensor data of factory B, and an identical path correspondence which is a correspondence of a catalog on a path including the unconnected catalog; and display information of the unconnected correspondence and the identical path correspondence.
Abstract:
A method for determining metadata propagation generated by an Extract, Transfer, Load (ETL) process. The method may include categorizing metadata given to data sources to generalize the metadata and categorizing the ETL process to generalize the ETL process; defining propagation rules for the generalized metadata and generalized ETL process; and generating metadata for ETL-converted data based on the categorization of the generalized metadata and generalized ETL process, and corresponding ones of the propagation rules.
Abstract:
Example implementations described herein are directed to systems and methods for selecting a prediction target node in creating a data flow. Systems and methods can involve a data flow editing interface, configured to, for receipt of an input node for an editing data flow in the data flow editing interface, determine a recommendation of a target node and a next node to be added to the data flow based on metadata, relevance of a data source for the data flow, location information of each node on the data flow, and similarity of the editing data flow to past flows that are previously executed data flows; and provide the recommendation of the target node and the next node on the data flow editing interface.
Abstract:
Example implementations described herein involve extracting keywords and dependency information from a text; and generating a co-occurrence dictionary for the text, the generating the co-occurrence dictionary involving selecting ones of the keywords for inclusion in the co-occurrence dictionary based on a number of times the ones of the keywords satisfy the dependency rules; determining for the selected ones of the keywords included in the co-occurrence dictionary, surrounding words to be associated with the selected ones of the keywords in the co-occurrence dictionary based on a number of instances of co-occurrence of the surrounding words with the selected ones of the keywords; and generating weights for each of the selected ones of the keywords in the co-occurrence dictionary based on a number of the surrounding words associated with the selected ones of the keywords.
Abstract:
A technology is disclosed that makes it possible even for an analyst, who has poor knowledge relating to field data, to select and use analysis data in analysis. A data catalog automatic generation system that generates a catalog tag to be used to select analysis data from collected field data is configured such that, based on a set classification rule input, a relationship between an objective variable as an analysis perspective relating to field data and an explanatory variable or a causal relationship between a plurality of the explanatory variables is extracted, and based on a result of the extraction, a catalog tag of the objective variable and a catalog tag of the explanatory function are specified and attached.