Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A multi-mainframe system problem determination method includes receiving, in a first computing system, a data collection trigger, coordinating, in the first computing system, synchronized diagnostic data collection with a second computing system, and delivering the diagnostic data to a storage medium.

Abstract: A multi-mainframe system problem determination method includes recording, in a first computing system, diagnostic data, receiving, in the first computing system, a data collection trigger, responsive to the data collection trigger, coordinating, in the first computing system, synchronized collection of recorded diagnostic data with a second computing system and delivering collected diagnostic data to a storage medium.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: A multi-mainframe operating system serialization method can include receiving, in a first computing system, a request to access a data set on behalf of a first peer application, sending, in the first computing system, a notification to a second peer application to obtain a normal enqueue, in response to the second peer application obtaining the normal enqueue, obtaining, in the first computing system, a first rider enqueue for the data set and sending, in the first computing system, a communication to peer instances to obtain additional rider enqueues for the data set, the additional rider enqueues corresponding to the first rider enqueue.

Abstract: A heterogeneous computing system includes a first server module having a first operating system, a second server module communicatively coupled to the first server module, the second server module having a second operating system dissimilar to the first operating system, a data set accessible by the first server module and the second server module; and a process residing on the first server module, the process configured to grant access to the second server module, from the first server module, to the data set.

Abstract: Embodiments relate to a method for data management. An aspect includes a method for assigning storage types to data based on access frequency. Past or historical data associated with current data usage is also considered prior to assignment. Once data frequency access is determined, the current data is assigned to a first tier of a plurality of hierarchical ordered tiers, each tier corresponding to at least one class of storage. In one embodiment, there may be a condition that overrides the assignment with option to override it. The tier assignment may also be preserved the tier so that the current data can be appropriately assigned in the future.

Abstract: A multi-mainframe system problem determination method includes receiving, in a first computing system, a data collection trigger, coordinating, in the first computing system, synchronized diagnostic data collection with a second computing system, and delivering the diagnostic data to a storage medium.

Abstract: A multi-mainframe system problem determination method includes recording, in a first computing system, diagnostic data, receiving, in the first computing system, a data collection trigger, responsive to the data collection trigger, coordinating, in the first computing system, synchronized collection of recorded diagnostic data with a second computing system and delivering collected diagnostic data to a storage medium.

Abstract: Embodiments relate to a system and computer program product for data management. An aspect includes a method for assigning storage types to data based on access frequency. Past or historical data associated with current data usage is also considered prior to assignment. Once data frequency access is determined, the current data is assigned to a first tier of a plurality of hierarchical ordered tiers, each tier corresponding to at least one class of storage. In one embodiment, there may be a condition that overrides the assignment with option to override it. The tier assignment may also be preserved so that the current data can be appropriately assigned in the future.

Abstract: A method and apparatus for transparent analytical query acceleration identifies within a database management system (DBMS) if a query is an analytical type. The query is processed with an analytical query processor if the query is the analytical type. In addition, the query is processed within the DBMS if the query is not the analytical type.

Abstract: A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Abstract: Embodiments relate to a method for data management. An aspect includes a method for assigning storage types to data based on access frequency. Past or historical data associated with current data usage is also considered prior to assignment. Once data frequency access is determined, the current data is assigned to a first tier of a plurality of hierarchical ordered tiers, each tier corresponding to at least one class of storage. In one embodiment, there may be a condition that overrides the assignment with option to override it. The tier assignment may also be preserved the tier so that the current data can be appropriately assigned in the future.