Abstract: Embodiments for providing adaptive namespace verification with high efficiency. The verification process is used in modern filesystems to check the integrity of key data structures, such for backup systems where providing thorough and efficient mechanisms for verification is critical. Embodiments accelerate the verification process by selectively applying continuous, differential, and integral verification techniques for startup and runtime repair purposes to overcome present problems for system capacities that exceed the petabyte range and impose significant time requirements using existing verification methods. Embodiments work with both single-node and distributed filesystems.

Abstract: Embodiments for providing adaptive namespace verification with high efficiency. The verification process is used in modern filesystems to check the integrity of key data structures, such for backup systems where providing thorough and efficient mechanisms for verification is critical. Embodiments accelerate the verification process by selectively applying continuous, differential, and integral verification techniques for startup and runtime repair purposes to overcome present problems for system capacities that exceed the petabyte range and impose significant time requirements using existing verification methods. Embodiments work with both single-node and distributed filesystems.

Abstract: Embodiments for providing adaptive namespace verification with high efficiency. The verification process is used in modern filesystems to check the integrity of key data structures, such for backup systems where providing thorough and efficient mechanisms for verification is critical. Embodiments accelerate the verification process by selectively applying continuous, differential, and integral verification techniques for startup and runtime repair purposes to overcome present problems for system capacities that exceed the petabyte range and impose significant time requirements using existing verification methods. Embodiments work with both single-node and distributed filesystems.

Abstract: Embodiments for providing adaptive namespace verification with high efficiency. The verification process is used in modern filesystems to check the integrity of key data structures, such for backup systems where providing thorough and efficient mechanisms for verification is critical. Embodiments accelerate the verification process by selectively applying continuous, differential, and integral verification techniques for startup and runtime repair purposes to overcome present problems for system capacities that exceed the petabyte range and impose significant time requirements using existing verification methods. Embodiments work with both single-node and distributed filesystems.

Abstract: Embodiments for enabling granular migration of data with high efficiency. A defined metadata element, a tag, is assigned to each file, and then tag filtering is used to direct the data to the proper location. Files with different tags can be selected for transfer, and such a group of tags is referred to as a tag set. Embodiments can be used with a defined backup system file migration process, such as present in the Data Domain File System. By using snapshots, incoming new data (ingested file) is allowed to continue while the migration is in process and maintaining data consistency at the same time. This is achieved by performing operations on B+ Tree snapshots in conjunction with tag filtering on keys present in the leaf pages of these structures. This method is efficient became it makes a single pass walk of a B+ Tree in contrast with previous methods that look up files one-by-one via their pathname.

Abstract: Embodiments for granular replication of data with high efficiency. A defined metadata element embodied as a tag is assigned to each file. Tag filtering is used to direct the data to the proper location. Files with different tags can be selected for transfer. Embodiments can be used with a defined backup system file replication process, such as present in the Data Domain File System. By using snapshots, incoming new data is continued to be ingested while the replication is in process and maintaining data consistency at the same time. This is achieved by performing operations on B+ Tree snapshots in conjunction with tag filtering on keys present in the leaf pages of these structures. This method efficiently makes a single pass walk of a B+ Tree in contrast with previous methods that look up files one-by-one via their pathname.

Abstract: Embodiments for granular replication of data with high efficiency. A defined metadata element embodied as a tag is assigned to each file. Tag filtering is used to direct the data to the proper location. Files with different tags can be selected for transfer. Embodiments can be used with a defined backup system file replication process, such as present in the Data Domain File System. By using snapshots, incoming new data is continued to be ingested while the replication is in process and maintaining data consistency at the same time. This is achieved by performing operations on B+ Tree snapshots in conjunction with tag filtering on keys present in the leaf pages of these structures. This method efficiently makes a single pass walk of a B+ Tree in contrast with previous methods that look up files one-by-one via their pathname.

Abstract: Embodiments for enabling granular migration of data with high efficiency. A defined metadata element, a tag, is assigned to each file, and then tag filtering is used to direct the data to the proper location. Files with different tags can be selected for transfer, and such a group of tags is referred to as a tag set. Embodiments can be used with a defined backup system file migration process, such as present in the Data Domain File System. By using snapshots, incoming new data (ingested file) is allowed to continue while the migration is in process and maintaining data consistency at the same time. This is achieved by performing operations on B+ Tree snapshots in conjunction with tag filtering on keys present in the leaf pages of these structures. This method is efficient became it makes a single pass walk of a B+ Tree in contrast with previous methods that look up files one-by-one via their pathname.

Abstract: A method of capturing a fractional snapshot of a distributed file system includes receiving a snapshot request to generate a factional snapshot of a file system. The request includes an indication of a subset of data of the file system. The method further includes identifying, by a processing device, the subset of data of the file system indicated by the snapshot request and generating the fractional snapshot comprising the subset of data of the file system indicated by the snapshot request.

Abstract: A method of generating a hybrid snapshot includes receiving a request to generate a snapshot of a distributed file system and identifying a first storage resource of the distributed file system and a second storage resource of the distributed file system based on the request. The method further includes generating the snapshot of the distributed file system, the snapshot including a data-full snapshot of the first storage resource and a data-less snapshot of the second storage resource.

Abstract: Systems and methods for aligning needs of virtual devices with hardware resources. The performance of virtual devices are tested using different groupings to determine mappings or relationships between the virtual devices and the physical devices from which they are drawn. Based on the results of the tests, spindle groups can be optimized.

Abstract: A method of capturing a fractional snapshot of a distributed file system includes receiving a snapshot request to generate a factional snapshot of a file system. The request includes an indication of a subset of data of the file system. The method further includes identifying, by a processing device, the subset of data of the file system indicated by the snapshot request and generating the fractional snapshot comprising the subset of data of the file system indicated by the snapshot request.

Abstract: Systems and methods for aligning needs of virtual devices with hardware resources. The performance of virtual devices are tested using different groupings to determine mappings or relationships between the virtual devices and the physical devices from which they are drawn. Based on the results of the tests, spindle groups can be optimized.

Abstract: Systems and methods for aligning needs of virtual devices with hardware resources. The performance of virtual devices are tested using different groupings to determine mappings or relationships between the virtual devices and the physical devices from which they are drawn. Based on the results of the tests, spindle groups can be optimized.

Abstract: An adsorptive bed having hydrous iron oxide and calcium carbonate materials. The adsorptive bed is useful in water treatment applications for removing metal contaminants, particularly for removing arsenic-containing ions.

Abstract: An adsorptive bed having hydrous iron oxide and calcium carbonate materials. The adsorptive bed is useful in water treatment applications for removing metal contaminants, particularly for removing arsenic-containing ions.