Abstract: A method includes storing data entities in data storage blocks, a logical structure of the storage of the data entities in the data storage blocks is a database including the data entities stored in tables, receiving a request message including an instruction to execute operations using data of the data entities being logically stored in one or more rows of the data entities in the table and physically stored in the data storage blocks of a processing set, determining that the data entity to be used for execution of the operations is stored across the data storage blocks, generating a processing subset in response to the determining that the data entity is stored across the data storage blocks, and executing the operations using a portion of the data stored in the processing subset.

Abstract: A method includes storing data entities in data storage blocks, a logical structure of the storage of the data entities in the data storage blocks is a database including the data entities stored in tables, receiving a request message including an instruction to execute operations using data of the data entities being logically stored in one or more rows of the data entities in the table and physically stored in the data storage blocks of a processing set, determining that the data entity to be used for execution of the operations is stored across the data storage blocks, generating a processing subset in response to the determining that the data entity is stored across the data storage blocks, and executing the operations using a portion of the data stored in the processing subset.

Abstract: A method includes storing data entities in data storage blocks, a logical structure of the storage of the data entities in the data storage blocks is a database including the data entities stored in tables, receiving a request message including an instruction to execute operations using data of the data entities being logically stored in one or more rows of the data entities in the table and physically stored in the data storage blocks of a processing set, determining that the data entity to be used for execution of the operations is stored across the data storage blocks, generating a processing subset in response to the determining that the data entity is stored across the data storage blocks, and executing the operations using a portion of the data stored in the processing subset.

Abstract: A method includes storing data entities in data storage blocks, a logical structure of the storage of the data entities in the data storage blocks is a database including the data entities stored in tables, receiving a request message including an instruction to execute operations using data of the data entities being logically stored in one or more rows of the data entities in the table and physically stored in the data storage blocks of a processing set, determining that the data entity to be used for execution of the operations is stored across the data storage blocks, generating a processing subset in response to the determining that the data entity is stored across the data storage blocks, and executing the operations using a portion of the data stored in the processing subset.

Abstract: A method, computer program product, and system for performance monitoring of a computer resource utilized by a user community. The computer resource is monitored, and sets of performance metrics characterizing a state of the computer resource are collected and analyzed to detect performance incidents. External information such as contextual information and user annotations are also collected and analyzed. If a performance incident is detected, its set of performance metrics and associated external information are used to search a data repository of past performance incidents for related incidents, in order to identify critical performance incidents, determine recommended solutions for the performance incidents, and determine performance forecasts for the computer resource.

Abstract: A method, computer program product, and system for performance monitoring of a computer resource utilized by a user community. The computer resource is monitored, and sets of performance metrics characterizing a state of the computer resource are collected and analyzed to detect performance incidents. External information such as contextual information and user annotations are also collected and analyzed. If a performance incident is detected, its set of performance metrics and associated external information are used to search a data repository of past performance incidents for related incidents, in order to identify critical performance incidents, determine recommended solutions for the performance incidents, and determine performance forecasts for the computer resource.

Abstract: A method, computer program product, and system for performance monitoring of a computer resource utilized by a user community. The computer resource is monitored, and sets of performance metrics characterizing a state of the computer resource are collected and analyzed to detect performance incidents. External information such as contextual information and user annotations are also collected and analyzed. If a performance incident is detected, its set of performance metrics and associated external information are used to search a data repository of past performance incidents for related incidents, in order to identify critical performance incidents, determine recommended solutions for the performance incidents, and determine performance forecasts for the computer resource.

Abstract: Speech is synthesized for a given text by determining a sequence of phonetic components based on the text, determining a sequence of target phonetic elements associated phonetic components, determining a sequence of target event types associated with the phonetic components and determining a sequence of speech units from a plurality of stored speech unit candidates by use of a cost function. The cost function comprises a unit cost, a concatenation cost, and an event type cost for each speech unit in the sequence of speech units. The unit cost of a speech unit is determined with respect to the corresponding target phonetic element, while the concatenation cost of a speech unit is determined with respect to adjacent speech units and the event type cost of each speech unit is determined with respect to the corresponding target event type.

Abstract: A method, computer program product, and system for performance monitoring of a computer resource utilized by a user community. The computer resource is monitored, and sets of performance metrics characterizing a state of the computer resource are collected and analyzed to detect performance incidents. External information such as contextual information and user annotations are also collected and analyzed. If a performance incident is detected, its set of performance metrics and associated external information are used to search a data repository of past performance incidents for related incidents, in order to identify critical performance incidents, determine recommended solutions for the performance incidents, and determine performance forecasts for the computer resource.

Abstract: Speech is synthesized for a given text by determining a sequence of phonetic components based on the text, determining a sequence of target phonetic elements associated phonetic components, determining a sequence of target event types associated with the phonetic components and determining a sequence of speech units from a plurality of stored speech unit candidates by use of a cost function. The cost function comprises a unit cost, a concatenation cost, and an event type cost for each speech unit in the sequence of speech units. The unit cost of a speech unit is determined with respect to the corresponding target phonetic element, while the concatenation cost of a speech unit is determined with respect to adjacent speech units and the event type cost of each speech unit is determined with respect to the corresponding target event type.