Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.

Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.

Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.

Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.

Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.

Abstract: A method, non-transitory computer readable medium, and source storage server computing device that mirrors dirty data to a destination storage server. The dirty data corresponds to storage operations not yet committed to one or more data storage devices of an aggregate to be transitioned. Ownership of the data storage devices is released. Teardown processing for the aggregate is performed subsequent to releasing ownership of the data storage devices. With this technology, the flushing or committing of dirty data to data storage devices is performed by a destination storage server after a data container is transitioned to the destination storage server. Additionally, non-critical teardown processing is also performed after a data container or aggregate is transitioned to the destination storage server. Accordingly, the duration of planned data container transitions can advantageously be reduced and aggregates can be brought online by a destination storage server for data access by applications more quickly.

Abstract: A method, non-transitory computer readable medium, and source storage server computing device that mirrors dirty data to a destination storage server. The dirty data corresponds to storage operations not yet committed to one or more data storage devices of an aggregate to be transitioned. Ownership of the data storage devices is released. Teardown processing for the aggregate is performed subsequent to releasing ownership of the data storage devices. With this technology, the flushing or committing of dirty data to data storage devices is performed by a destination storage server after a data container is transitioned to the destination storage server. Additionally, non-critical teardown processing is also performed after a data container or aggregate is transitioned to the destination storage server. Accordingly, the duration of planned data container transitions can advantageously be reduced and aggregates can be brought online by a destination storage server for data access by applications more quickly.

Abstract: A first plurality of block identifiers is sorted based, at least in part, on a measure of spatial locality. A second plurality of block identifiers is sorted based, at least in part, on the measure of spatial locality. At least the first plurality of block identifiers and the second plurality of block identifiers are incrementally merged into a third plurality of block identifiers based, at least in part, on the measure of spatial locality. A block of data corresponding to metadata associated with a plurality of block identifiers of the third plurality of block identifiers is updated.