Abstract: Automated techniques for storing data in a data storage environment. Techniques are provided for determining storage locations for data in a heterogeneous storage environment based upon storage policies configured for the storage environment. The data is stored in storage locations that enable efficient data access while optimizing the use of available storage resources with minimum human intervention.

Abstract: Automated techniques for storing data in a data storage environment. Techniques are provided for determining storage locations for data in a heterogeneous storage environment based upon storage policies configured for the storage environment. The data is stored in storage locations that enable efficient data access while optimizing the use of available storage resources with minimum human intervention.

Abstract: Automated techniques for storing data in a data storage environment. Techniques are provided for determining storage locations for data in a heterogeneous storage environment based upon storage policies configured for the storage environment. The data is stored in storage locations that enable efficient data access while optimizing the use of available storage resources with minimum human intervention.

Abstract: Techniques for balancing capacity utilization in a storage environment. Embodiments of the present invention automatically determine when capacity utilization balancing is to be performed for a group of storage units in the storage environment. A source storage unit is determined from the group of storage units from which data is to be moved to balance capacity utilization. Utilized-capacity balancing is performed by moving data files from the source storage unit to one or more target storage units in the group of storage units. The storage units in a group may be assigned to one or more servers.

Abstract: Techniques for optimizing capacity utilization among multiple storage units based upon costs associated with storing data on the storage units. Embodiments of the present invention automatically determine when data movement is needed to optimization storage utilization for a group of storage units. According to an embodiment of the present invention, in order to optimize storage utilization and storage cost, files are moved from a source storage unit to a target storage unit that has a lower data storage cost associated with it than the source storage unit. The storage units may be assigned to one or more servers.

Abstract: Automated techniques for storing data in a data storage environment. Techniques are provided for determining storage locations for data in a heterogeneous storage environment based upon storage policies configured for the storage environment. The data is stored in storage locations that enable efficient data access while optimizing the use of available storage resources with minimum human intervention.

Abstract: Techniques for restoring data in a heterogeneous storage environment. The data to be restored may be identified based upon user-specified contents and/or attributes of the data. The data to be restored may be identified from backup data, archived data, and other types of data. A single search-oriented uniform user interface is provided to restore data irrespective of the storage location of the data. Access to data regardless of the location and type (e.g., archived, backup, or otherwise) of the data is enabled.