Abstract: A non-transitory computer-readable storage medium stores a data stream processing program that causes a computer to execute a process. The process includes extracting a relationship between properties included in events in a data stream from the data stream itself, definitions of queries for processing the data stream, or both of the data stream and the definitions of the queries; specifying a common partitioning key common to a subset of the queries to be grouped into a partitioning group based on partitioning keys in the definitions of the queries, the relationship between the properties, and a probability of the relationship; and assigning the subset of the queries belonging to the partitioning group to each of parallel nodes provided for parallel distributed processing based on the specified common partitioning key.

Abstract: A data processing method is executed by a computer to perform distributed processing of a first query and a second query. The data processing method includes calculating a first value indicating a dependency between a first partitioning key and a second partitioning key, the first partitioning key specifying a categorical attribute extracted from syntax of the first query, and the second partitioning key specifying a numerical attribute holding numerical values associated with the second query; generating a query group made of the first query and the second query based on the first value; and performing distributed processing of the first query and the second query based on the query group when executing the first query and the second query.

Abstract: A non-transitory computer-readable recording medium stores a control program that causes a computer to execute a process, the process includes collecting a processing result of a subjob distributed to a plurality of nodes, each of the plurality of nodes processing a to-be-processed job distributed among the nodes estimating an overall processing result, based on the collected processing results of the subjobs, the overall processing result being a result of overall processing corresponding to the subjobs; and determining whether or not to continue processing remaining subjobs of the subjobs corresponding to the overall processing depending on the estimated overall processing result.

Abstract: Embodiments include a hybrid data storage system including a tabular data storage system configured to store a plurality of fixed values as tabular data; and a graph data storage system configured to store a data graph; and a multi-storage logic layer unifying access mechanisms to each of the tabular data storage system and the graph data storage system; wherein each of the fixed values in the table occupies a table entry and constrains a property of a vertex in the data graph; the graph data storage system being configured to store the data graph as a plurality of vertices linked by edges, each edge linking a specified pair of vertices as a subject vertex and an object vertex, the plurality of edges including, for each of the plurality of fixed values stored by the tabular data storage system, an edge specifying the vertex for which a property is constrained by the fixed value as the subject vertex and a pointer vertex as the object vertex, the pointer vertex encoding a pointer to the table entry occupied by

Abstract: An incremental learning management method includes: extracting data by a computer from input data that are sequentially input based on a first window size and a first sampling rate; storing learning history information in which the first window size is associated with a learning time for the data and the first sampling rate; measuring a data rate of the input data; and calculating a second window size and a second sampling rate based on the data rate, the learning history information, and the first sampling rate.

Abstract: A data processing method is executed by a computer to perform distributed processing of a first query and a second query. The data processing method includes calculating a first value indicating a dependency between a first partitioning key and a second partitioning key, the first partitioning key specifying a categorical attribute extracted from syntax of the first query, and the second partitioning key specifying a numerical attribute holding numerical values associated with the second query; generating a query group made of the first query and the second query based on the first value; and performing distributed processing of the first query and the second query based on the query group when executing the first query and the second query.

Abstract: A non-transitory computer-readable storage medium stores a data stream processing program that causes a computer to execute a process. The process includes extracting a relationship between properties included in events in a data stream from the data stream itself, definitions of queries for processing the data stream, or both of the data stream and the definitions of the queries; specifying a common partitioning key common to a subset of the queries to be grouped into a partitioning group based on partitioning keys in the definitions of the queries, the relationship between the properties, and a probability of the relationship; and assigning the subset of the queries belonging to the partitioning group to each of parallel nodes provided for parallel distributed processing based on the specified common partitioning key.

Abstract: Blade enclosures are connected to storage devices through FC switches, and management blades and FC switches are connected to a SAN management device. Automatic setting modular program displays an input screen on a display. A manager inputs IP addresses of FC switches so as to be associated with IP address of management blade into input screen. The automatic-setting modular program acquires the server blade information from the management blades, turns on the powers of the server blades, and acquires the FC switch information from the FC switches. The program associates the slot numbers contained in the server blade information acquired from the management blades to the port numbers contained in the FC switch information acquired from the FC switches in one-to-one relationships. The program generates records that are combinations of the server blade information and the FC switch information, and stores the generated records in connection definition table.

Abstract: Blade enclosures are connected to storage devices through FC switches, and management blades and FC switches are connected to a SAN management device. Automatic setting modular program displays an input screen on a display. A manager inputs IP addresses of FC switches so as to be associated with IP address of management blade into input screen. The automatic-setting modular program acquires the server blade information from the management blades, turns on the powers of the server blades, and acquires the FC switch information from the FC switches. The program associates the slot numbers contained in the server blade information acquired from the management blades to the port numbers contained in the FC switch information acquired from the FC switches in one-to-one relationships. The program generates records that are combinations of the server blade information and the FC switch information, and stores the generated records in connection definition table.