Abstract: Systems and methods for commonality factoring for storing data on removable storage media that may allow for highly compressed data to be stored efficiently on portable memory devices. The methods include breaking data into unique chunks and calculating identifiers, e.g., hash identifiers, based on the unique chunks. Redundant chunks can be identified by comparing identifiers of other chunks to the identifiers of unique chunks. When a redundant chunk is identified, a reference to the existing unique chunk is generated such that the chunk can be reconstituted in relation to other chunks in order to recreate the original data. One or more of the unique chunks, the identifiers, and/or the references may be stored on the portable memory device. Hardware and/or software for the chunking and/or hashing functions can reside in a host computer, a removable storage device or cartridge, and/or a removable cartridge holder.

Abstract: Systems and methods for commonality factoring for storing data on removable storage media that may allow for highly compressed data to be stored efficiently on portable memory devices. The methods include breaking data into unique chunks and calculating identifiers, e.g., hash identifiers, based on the unique chunks. Redundant chunks can be identified by comparing identifiers of other chunks to the identifiers of unique chunks. When a redundant chunk is identified, a reference to the existing unique chunk is generated such that the chunk can be reconstituted in relation to other chunks in order to recreate the original data. One or more of the unique chunks, the identifiers, and/or the references may be stored on the portable memory device. Hardware and/or software for the chunking and/or hashing functions can reside in a host computer, a removable storage device or cartridge, and/or a removable cartridge holder.

Abstract: Systems and methods for commonality factoring for storing data on removable storage media are described. The systems and methods allow for highly compressed data, e.g., data compressed using archiving or backup methods including de-duplication, to be stored in an efficient manner on portable memory devices such as removable storage cartridges. The methods include breaking data, e.g., data files for backup, into unique chunks and calculating identifiers, e.g., hash identifiers, based on the unique chunks. Redundant chunks can be identified by calculating identifiers and comparing identifiers of other chunks to the identifiers of unique chunks previously calculated. When a redundant chunk is identified, a reference to the existing unique chunk is generated such that the chunk can be reconstituted in relation to other chunks in order to recreate the original data. The method further includes storing one or more of the unique chunks, the identifiers and/or the references on the removable storage medium.

Abstract: Systems and methods for commonality factoring for storing data on removable storage media are described. The systems and methods allow for highly compressed data, e.g., data compressed using archiving or backup methods including de-duplication, to be stored in an efficient manner on portable memory devices such as removable storage cartridges. The methods include breaking data, e.g., data files for backup, into unique chunks and calculating identifiers, e.g., hash identifiers, based on the unique chunks. Redundant chunks can be identified by calculating identifiers and comparing identifiers of other chunks to the identifiers of unique chunks previously calculated. When a redundant chunk is identified, a reference to the existing unique chunk is generated such that the chunk can be reconstituted in relation to other chunks in order to recreate the original data. The method further includes storing one or more of the unique chunks, the identifiers and/or the references on the removable storage medium.