Abstract:
A server inputs an input data set into a similarity calculation model, calculates a first similarity between the input data set and learning data sets, each client terminal inputs a data sample to the similarity calculation model to calculate a second similarity between the data sample and the learning data sets, executes a similarity calculation between the first and second similarity and outputs a learning weight, learns a first analysis model that calculates a predicted value of the first objective variable from the first explanatory variable for the input data set based on the first analysis model, the first explanatory variable and the first objective variable of the learning data set, and the learning weight, and transmits a first learning result. The server generates a second analysis model that integrates the first learning result and calculates a predicted value of the first objective variable from the first explanatory variable.
Abstract:
Since storage devices are activated in the issuance order of I/O commands, the time required for processing of a plurality of I/O commands based on one or more I/O requests may become long. When issuance destinations of two or more I/O commands are two or more storage devices in a non-activated state from among a plurality of storage devices, a computer system determines an activation order of the two or more storage devices on the basis of two or more I/O quantities which respectively correspond to the two or more storage devices. Each of the I/O quantities of the two or more storage devices is an I/O quantity in accordance with one or more I/O commands for the relevant storage device from among the two or more I/O commands. The computer system activates the two or more storage devices in the determined activation order.
Abstract:
There is provided a database management system (DBMS) in order to make anonymization processing of the database efficient. When receiving a query including a conversion rule, the database management system is configured to process a relationship table in the database based on the conversion rule. At that time, the DBMS is configured to acquire data from a processing result table (result of processing the relationship table) stored in the past for tuples the number of which for each value appearing in a predetermined attribute satisfies a condition required for the anonymization processing. On the other hand, for tuples the number of which for each value appearing in a predetermined attribute does not satisfy the condition required for the anonymization processing, the DBMS is configured to acquire data from the database or from a result of processing the relationship table, the result being stored in rather than the processing result table.
Abstract:
If a query indicates joining of N (N is an integer of no less than 3) relation tables, a database management system calculates a query cost that is based on a power consumption amount for query execution, for each of a first query plan candidate in which a temporary table is generated and the temporary table is stored in a storage device unit with a first access cost, a second query plan candidate in which a temporary table is generated and the temporary table is stored in a storage device unit with a second access cost that is higher than the first access cost and a third query plan candidate in which the N relation tables are joined in a pipelined manner without generation of a temporary table, selects a relatively low-query cost query plan candidate and executes the query based on the query plan candidate.
Abstract:
A computer system for searching for a candidate for an environment in which an object is to be deployed, the computer system is coupled to a plurality of infrastructure systems each of which provides the environment. The computer system receives a search request including an environmental requirement being a condition required for the environment in which the object is to be deployed and a constraint being a condition to be complied with in deployment of the object; executes first environment search processing for searching for the environment that satisfies the constraint and the environmental requirement; changes the environmental requirement in a case where the environment in which the object is deployable does not exist; and executes second environment search processing for searching for the environment that satisfies the constraint and the changed environmental requirement.
Abstract:
The database management system (DBMS) receives a first instruction specifying anonymization rule information corresponding to a column of the relation table, among anonymization rule information that is present for each column included in the relation table and shows a plurality of generalization rules. The DBMS reads the column from the relation table in response to the first instruction, and generates a temporary result obtained by generalizing each attribute value of the column based on any of a plurality of generalization rules. The DBMS generates an aggregate result obtained by aggregating the temporary result. The DBMS generates an anonymization method including generalization information indicating a correspondence relationship of each attribute value of the column and any of the plurality of generalization rules when the aggregate result satisfies a disclosure rule. The DBMS generates anonymization information as a result of processing the relation table based on the first anonymization method.
Abstract:
An I/O processing control apparatus integrates, from among a plurality of unprocessed I/O requests, two or more I/O requests, which are for the same type of I/O process and have two or more noncontiguous areas as I/O destinations, into one I/O request targeted at one continuous area comprising the above-mentioned two or more noncontiguous areas, and executes I/O processing in relation to the storage device on the basis of the integrated I/O request.
Abstract:
A computer system connects with a base that provides a service including a plurality of components, retains component management information for managing schemas associated with the components included in the service, at the time of reception of a retrieval request for retrieving the components to achieve a service using a target component, retrieves associated components having the same schema as the target component with reference to the component management information, while designating the schema of the target component as a starting point, and presents the associated components.
Abstract:
An access right management apparatus 1000, includes: a processor and a memory; and an indirect modification part 104 configured to: when first access right information is modified with a first modification content, the first access right information indicating an access right necessary for a first system to access an application, identify based on a predetermined database, second access right information indicating an access right necessary for a second system to access the application and having a relationship with the first access right information; convert the first modification content of the first access right information to a second modification content corresponding to the second access right information; and modify the identified second access right information with the second modification content.
Abstract:
Systems and methods described herein involve a meta-graph management configured to link external data source to another external data mart through a data management platform which can involve managing characteristics of one or more tables of the data source and the data mart and a temporary table based on columns, managing characteristics of one or more Input data and Output data of data processing from the data source to the data mart based on columns; managing relationships of characteristics between data and data processing for the data source and the data mart based on the columns; managing one or more data flows between the data source and the data mart that include data, data processing, and relationships; and providing data, data processing, and relationships between the data source and the data mart for each data flow.