Abstract: A policy can be easily and appropriately set. A policy setting control device 100 that controls setting of a policy for controlling access to a resource includes a processor. The policy includes a resource to be accessed, a subject who accesses the resource, and an access operation. The processor receives an input policy 11 which is a candidate to be newly set, acquires an attribute value corresponding to values of a subject and a resource included in the input policy 11, generates one or more post-conversion policies 103 by changing the values of the subject and the resource included in the input policy 11 to the acquired attribute value, and sets the input policy as a new policy when all the generated post-conversion policies 103 are consistent with an existing policy.

Abstract: A tag domain presentation device holds a data usage log table that stores a department to which a user belongs, information about an application for each user, a search tag used by the application, data information corresponding to the search tag, a given tag corresponding to each data piece, and user evaluation information related to the given tag. The tag domain presentation device generates a usage viewpoint extraction log table that is filtered from a data usage viewpoint from a record of the data usage log table, and generates a usage tendency evaluation table from the usage viewpoint extraction log table based on usage information about the user and the application for each department of the data and the user evaluation information, and presents a search formula of the tag for each department common as a data usage viewpoint based on the information.

Abstract: According to the invention, operation data is analyzed at a higher level. Provided is an operation data analysis device including an arithmetic device and a storage device. The storage device stores management target data including operation data which is data related to an operation. The arithmetic device analyzes how the operation data is used in the operation by using the operation data included in the management target data and operation data used in a structure related to management of the management target data.

Abstract: A distributed transaction in which appropriate patterns are combined without modifying implementation of a management system even when a service characteristic of a participating system changes. A management system receives input of a distributed transaction flow defining respective call sequential numbers of participating systems and service characteristic information representing respective service characteristics of the participating systems. The management system specifies an applied pattern for each of the participating systems based on pattern information including information for each pattern that represents a constraint condition of a service characteristic of a participating system as a call target. The applied pattern is a pattern satisfying the constraint condition corresponding to the service characteristic of the participating system.

Abstract: A distributed transaction in which appropriate patterns are combined without modifying implementation of a management system even when a service characteristic of a participating system changes. A management system receives input of a distributed transaction flow defining respective call sequential numbers of participating systems and service characteristic information representing respective service characteristics of the participating systems. The management system specifies an applied pattern for each of the participating systems based on pattern information including information for each pattern that represents a constraint condition of a service characteristic of a participating system as a call target. The applied pattern is a pattern satisfying the constraint condition corresponding to the service characteristic of the participating system.

Abstract: Reusable information is extracted from a result of executing a simulation of a plurality of models. A simulation management method for managing data for use in a simulation by a management device having a processor and a memory, the method including: executing a simulation using a model and data, by a simulator; extracting intermediate data indicating that an internal state of the model that is being simulated matches a predetermined state, by the management device; and holding the extracted intermediate data as useful intermediate data, by the management device.

Abstract: A computer system manages a data lake storing collected data, which is obtained from a data source, a data catalog storing first catalog data, and an asset catalog storing second catalog data. The computer system comprises: a catalog generation module configured to generate the data catalog, and the asset catalog; and a catalog link generation module configured to associate, in a case where at least one of the data catalog or the asset catalog is generated by the catalog generation module, the asset catalog and the data catalog with each other by adding, as an access key, a value that is stored in the first catalog data stored in the data catalog to the second catalog data stored in the asset catalog.

Abstract: When performing a data migration of a first data store management system to a second data store management system, a data migration system receives a data migration rule, based on a data migration rule, converts a first data into a second data, acquires a first data model as a data model of the first data, acquires a second data model as a data model of the second data, and acquires a second program. Then, a data model conversion rule that causes the first data model to correspond to the second data model is generated based on the data migration rule, the first data model, and the second data model, and the second program is converted into a first program based on the data model conversion rule.

Abstract: When performing a data migration of a first data store management system to a second data store management system, a data migration system receives a data migration rule, based on a data migration rule, converts a first data into a second data, acquires a first data model as a data model of the first data, acquires a second data model as a data model of the second data, and acquires a second program. Then, a data model conversion rule that causes the first data model to correspond to the second data model is generated based on the data migration rule, the first data model, and the second data model, and the second program is converted into a first program based on the data model conversion rule.

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 computer system manages a data lake storing collected data, which is obtained from a data source, a data catalog storing first catalog data, and an asset catalog storing second catalog data. The computer system comprises: a catalog generation module configured to generate the data catalog, and the asset catalog; and a catalog link generation module configured to associate, in a case where at least one of the data catalog or the asset catalog is generated by the catalog generation module, the asset catalog and the data catalog with each other by adding, as an access key, a value that is stored in the first catalog data stored in the data catalog to the second catalog data stored in the asset catalog.

Abstract: The disclosure is to present quantitative information for evaluating model transparency. A computer configured to support selection of a model generated by machine learning includes a transparency score calculation unit configured to execute analysis processing for analyzing traceability of a generation process of a target model, and calculate a transparency score indicating a degree of the traceability of the generation process of the target model based on a result of the analysis processing, and a report generation unit configured to generate a report for presenting the transparency score.

Abstract: Reusable information is extracted from a result of executing a simulation of a plurality of models. A simulation management method for managing data for use in a simulation by a management device having a processor and a memory, the method including: executing a simulation using a model and data, by a simulator; extracting intermediate data indicating that an internal state of the model that is being simulated matches a predetermined state, by the management device; and holding the extracted intermediate data as useful intermediate data, by the management device.

Abstract: The present invention realizes reuse of an analysis application having different contexts such as data units and data acquisition times of on-site data in short man-hour without requiring specialized knowledge on an analyzed object. A data management system providing IoT data to a service system includes a storage device storing an asset catalog containing information of a manufacture line and devices constructing a manufacture line, an application catalog containing calculation information of a KPI as required by the service system, and a data catalog containing information for accessing the IoT data. A control unit retrieves an asset to be analyzed from the catalog, and when the KPI does not exist in the asset catalog, retrieves the KPI calculation information from the application catalog, and calculates a KPI of the asset to be analyzed as the KPI as the requirement specification of the service system by using the retrieved calculation information.

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 computer scale-out method by adding a second computer to a first computer receiving stream data from a data source and executing a query to make the second computer execute the query, the computer scale-out method including: receiving, by a management computer, a request to scale out; a second step of generating, by the management computer, rewritten queries that are copies of the query; sending, by the management computer, instructions to scale out including the rewritten queries to the first computer and the second computer; receiving, by the first computer and the second computer, the instructions to scale out, extracting the rewritten queries, and switching to the extracted rewritten queries; notifying, by the first computer or the second computer, the management computer of readiness of the rewritten queries; and sending, by the management computer, an instruction to add the second computer as a destination to the data source.

Abstract: Provided is a query generating method for generating a query which processes an inputted data stream with a computer provided with a processor and memory, said method comprising: a first step of the computer separating the inputted data stream into a required column and an optional column, and loading a template which defines a process with respect to the required column; and a second step of the computer separating the inputted data stream into a required column and an optional column, processing the required columns with the template, and generating a query which outputs the result of the processing of the template and the optional column as one instance of data.

Abstract: An application processing system including a database server and a storage device which is connected with a standby application processing system including a secondary database server and a secondary storage device to continue to carry out application processing in the case of a fault, disaster, etc. or for maintenance. The storage device of the application processing system issues a log disk update request to the secondary database server of the standby system to update a log disk of the standby system and thereby create a duplicate of the log disk for the DBMS of the application processing system. This allows the DBMS of the standby system to roll forward the log data in the duplicated log to update duplicated data on the secondary storage device.

Abstract: Provided is a data processing system which includes: a first computer for receiving a processing request for a task processing, executing the processing, and holding data used therein; and a second computer for holding a duplicate of the data held in the first computer, halting the first computer if the first computer is determined to be halted, and receiving and processing the processing request. The first computer receives at least an update request as the processing request including request identification information to which unique numbers assigned to the individual processing requests in an ascending order are allocated, updates the held data, and transmits the update request including the request identification information to the second computer. The second computer stores a transmitted reference request and the update request as the processing requests, and processes the processing requests in an ascending order of the unique numbers included in the individual processing requests.

Abstract: The message delivery system has a first and a second computer and a storage device. The first computer receives messages sent from a sender, delivers the messages to at least a part of receiver computers and gets states of message delivery to these receiver computers. Based on the message delivery states, a check is made as to whether there are any slow receiver computers that have the message delivery thereto delayed. When there are slow receiver computers, a request is made to switch a message delivery control over the detected slow receiver computers from the first computer to the second computer. Then the second computer takes over the message delivery control over the slow receiver computers and resumes delivering the messages to the slow receiver computers.