Abstract: Systems and methods to manage database data are provided. A particular method includes automatically identifying a plurality of storage devices. The storage devices include a first device of a first type and a second device of a second type. The first type includes a solid state memory device. The method may further identify a high priority data set of the database. A rebalancing operation is conducted that includes moving the high priority data set to the solid state memory device and substantially evening distribution of other data of the database among the storage devices.

Abstract: A dataset is identified as a heat-intensive dataset based, at least in part, on the dataset being related to heat generation at a source storage device exceeding a heat rise limit. The source storage device hosts the heat-intensive dataset and the heat-intensive dataset comprises non-executable data. A first cooling area of a plurality of cooling areas is selected to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas. The source storage device is associated with a second cooling area. A target storage device associated with the first cooling area is determined. The heat-intensive dataset is moved from the source storage device to the target storage device.

Abstract: For distributing data requests between data centers, a cost reduction module selects a data center from a plurality of data centers to fulfill a data operation request corresponding to mirrored data stored at the plurality of data centers. The selection is based on data center cooling efficiency factors comprising a data storage device efficiency percentage. A response module sends the data operation request to the selected data center.

Abstract: Adaptive index density in a database management system is provided, which includes receiving a number of partitions for an index for a database table, the index subject to creation. The adaptive index density also includes selecting a column from the database table, the column selected based upon an estimated frequency of execution of database queries for the column. The adaptive index density further includes calculating an estimated cost of executing each of the database queries for the column, and determining data to reside in each of the partitions of the index responsive to the estimated cost.

Abstract: A dataset is identified as a heat-intensive dataset based, at least in part, on the dataset being related to heat generation at a source storage device exceeding a heat rise limit. The source storage device hosts the heat-intensive dataset and the heat-intensive dataset comprises non-executable data. A first cooling area of a plurality of cooling areas is selected to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas. The source storage device is associated with a second cooling area. A target storage device associated with the first cooling area is determined. The heat-intensive dataset is moved from the source storage device to the target storage device.

Abstract: A plurality of data queries that operate on a heat-intensive dataset is determined. A plurality of access plans that correspond to the plurality of data queries is determined. An overall power consumption of the plurality of access plans is computed. It is determined that the overall power consumption exceeds a power consumption threshold. A first cooling area of a plurality of cooling areas to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas is selected. A target storage device associated with the first cooling area is determined. The heat-intensive dataset from the source storage device is moved to the target storage device.

Abstract: Adaptive index density in a database management system is provided, which includes receiving a number of partitions for an index for a database table, the index subject to creation. The adaptive index density also includes selecting a column from the database table, the column selected based upon an estimated frequency of execution of database queries for the column. The adaptive index density further includes calculating an estimated cost of executing each of the database queries for the column, and determining data to reside in each of the partitions of the index responsive to the estimated cost.

Abstract: A method, a system, and a computer-readable storage medium are provided for data management. The method may comprise identifying a predefined set of data storage parameters and a predefined set of data scrubbing parameters. The method further may comprise determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of data storage parameters for the first data and performing data scrubbing for the first data using the determined predefined set of data scrubbing parameters. Furthermore, the method may comprise comparing first data in the first data storage and corresponding second data in a second data storage. Upon determining a mismatch between the first data and the second data, the method further may comprise synchronizing the first data with the second data as a result of the comparison.

Abstract: Systems and methods for authentication in a data management system are provided. In one embodiment, the method comprises identifying a plurality of data ciphers based on a pre-defined set of properties associated with a plurality of data sources; and generating an authentication response having at least a subset of the identified plurality of data ciphers, wherein the authentication response authenticates access to at least some data sources from among the plurality of data sources.

Abstract: Adaptive index density in a database management system is provided, which includes receiving a number of partitions for an index for a database table, the index subject to creation. The adaptive index density also includes selecting a column from the database table, the column selected based upon an estimated frequency of execution of database queries for the column. The adaptive index density further includes calculating an estimated cost of executing each of the database queries for the column, and determining data to reside in each of the partitions of the index responsive to the estimated cost.

Abstract: An apparatus, system, and method are disclosed for distributing data requests between data centers. A request module receives a data operation request from a client. The data operation request corresponds to mirrored data stored at a plurality of data centers. A metadata module maintains a set of data center cooling efficiency factors for each of the plurality of data centers. Each data center cooling efficiency factor comprises data relating to operational costs of a data center. A cost reduction module compares sets of data center cooling efficiency factors for each of the plurality of data centers to select the most efficient data center from the plurality of data centers. A response module sends the data operation request to the selected data center.

Abstract: A method, a system, and a computer-readable storage medium are provided for data management. The method may comprise identifying a predefined set of data storage parameters and a predefined set of data scrubbing parameters. The method further may comprise determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of data storage parameters for the first data and performing data scrubbing for the first data using the determined predefined set of data scrubbing parameters. Furthermore, the method may comprise comparing first data in the first data storage and corresponding second data in a second data storage. Upon determining a mismatch between the first data and the second data, the method further may comprise synchronizing the first data with the second data as a result of the comparison.

Abstract: Adaptive index density in a database management system is provided, which includes receiving a number of partitions for an index for a database table, the index subject to creation. The adaptive index density also includes selecting a column from the database table, the column selected based upon an estimated frequency of execution of database queries for the column. The adaptive index density further includes calculating an estimated cost of executing each of the database queries for the column, and determining data to reside in each of the partitions of the index responsive to the estimated cost.

Abstract: A method, a system, and a computer program product are provided for data management. The method may comprise identifying a predefined set of data storage parameters and a predefined set of data scrubbing parameters. The method further may comprise determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of data storage parameters for the first data and performing data scrubbing for the first data using the determined predefined set of data scrubbing parameters. Furthermore, the method may comprise comparing first data in the first data storage and corresponding second data in a second data storage. If a mismatch is determined between the first data and the second data, the method further may comprise synchronizing the first data with the second data as a result of the comparison.

Abstract: A method, a system, and a computer program product are provided for data management. The method may comprise identifying a predefined set of data storage parameters and a predefined set of data scrubbing parameters. The method further may comprise determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of data storage parameters for the first data and performing data scrubbing for the first data using the determined predefined set of data scrubbing parameters. Furthermore, the method may comprise comparing first data in the first data storage and corresponding second data in a second data storage. If a mismatch is determined between the first data and the second data, the method further may comprise synchronizing the first data with the second data as a result of the comparison.

Abstract: A computer implemented method dynamically manages invitations to a meeting. A first tier of potential invitees to a meeting and a second tier of potential invitees to the meeting are defined. Members of the second tier of potential invitees have been predetermined to have a lower need to attend the meeting than members of the first tier of potential invitees. Invitations for the meeting are first transmitted to members of the first tier of potential invitees. Invitation acceptance responses are received, and if they fail to reach a predetermined level such that resources for the meeting will be underutilized, additional invitations for the meeting are transmitted to members of the second tier of potential invitees.

Abstract: Systems and methods for authentication in a data management system are provided. In one embodiment, the method comprises identifying a plurality of data ciphers based on a pre-defined set of properties associated with a plurality of data sources; and generating an authentication response having at least a subset of the identified plurality of data ciphers, wherein the authentication response authenticates access to at least some data sources from among the plurality of data sources.

Abstract: A method, system, and article for management of travel and travel related matters. Both a source and a designation are selected, together with the associated departure and arrival information and the mode of transportation. A geographic region affected by a health related event is identified, and then employed to determine if a craft in support of the selected travel has been or is intended to be in the identified region. Exposure to the identified health related event may be mitigated by supporting an amendment to the mode of transportation.

Abstract: Physical storage systems dissipate large amounts of heat as a result of operations performed on data stored on the physical storage systems. Existing cooling mechanisms use cooling appliances with different cooling characteristics to dissipate the heat. However, the existing cooling mechanisms do not consider the cooling characteristics of the cooling appliances when moving/storing data, resulting in an inefficient use of the cooling appliances and a waste of power. Functionality can be implemented to identify datasets that cause generation of large amounts of heat in the associated physical storage system(s). These heat-intensive datasets can be moved to cooler physical storage system(s) that are identified based, at least in part, on cooling characteristics of the cooling appliances and a proximity of the physical storage system(s) to the cooling appliances. This can ensure that the cooling appliances with the best cooling characteristics are used to cool the most heat intensive datasets.

Abstract: A computer implemented method for identifying ontological hypertext and pre-fetching and presenting the target information may include receiving an original query by a database server. The method may also include searching the database server to locate an ontological mapping record. The ontological mapping record may represent an association between information responsive to the original query and related information associated by ontological hypertext. The method may further include presenting information responsive to the original query and the related information.