Abstract: One example method includes receiving a generation 0 data stream, creating and/or receiving a mask that includes multiple entries, each of which corresponds to a respective block of the generation 0 data stream, and each mask entry indicating a value n (0<=n<=desired generation N), identifying, in the mask, all non-zero entries, locating, in the generation 0 data stream, the blocks to which this entry corresponds to and based on the value n, modifying the generation 0 block to generate a generation N data stream.

Abstract: One example method includes receiving a set of filesystem parameters, creating a simulated filesystem based on the filesystem parameters, receiving a set of target characteristics for a file collection, based on the target characteristics, slicing a datastream into a grouping of data slices, populating the simulated files with the data slices to create the file collection and forward or reverse morphing the file collection from one generation to another without rewriting the entire file collection.

Abstract: One example method includes receiving a mixed data stream that was created using a first data stream and a second data stream, the mixed data stream having a compressibility of N, where N is a compressibility merging parameter, and the mixed data stream has a compressibility that is between a compressibility of the first data stream and a compressibility of the second data stream, providing the mixed data stream to an application and/or hardware, observing and recording a response of the application and/or hardware to the mixed data stream, and analyzing the response of the response of the application and/or hardware to the mixed data stream.

Abstract: One example method includes receiving ‘n’ data streams, where ‘n’ is ?2, receiving a commonality parameter ‘F’, creating a mixed data stream having a commonality of ‘F’ by mixing data from the ‘n’ data streams together, and outputting the mixed data stream. The mixed data stream may be provided to a deduplication engine for deduplication of stream data that is common to one or more other data streams.

Abstract: One example method includes receiving a first data stream that has a compressibility greater than zero, receiving a second data stream that has a compressibility that is different from the compressibility of the first data stream, receiving a compressibility merging parameter N, creating a mixed data stream having a compressibility of N by mixing data from the first data stream with data from the second data stream, and outputting the mixed data stream.

Abstract: Protected data is divided into a plurality of segments. For each segment in the plurality of segments, a fingerprint is generated. The plurality of fingerprints is grouped into group(s) of fingerprints and for each group of fingerprints, a group fingerprint is generated. It is determined if the group fingerprint being processed is stored in a cache and if so, the group fingerprint being processed is flagged as one for which a virtual copy will be performed.

Abstract: Generating non-compressible data streams is disclosed, including: receiving an initialization parameter; determining at least one constrained prime number; generating a sequence comprising a plurality of byte values based at least in part on the initialization parameter and the constrained prime number; determining a rotation value; and rotating a portion of the sequence based on a rotation value to form a rotated sequence, wherein the rotated sequence comprises byte values substantially defeating a predictive compression algorithm.

Abstract: Generating non-compressible data streams is disclosed, including: receiving an initialization parameter; determining a constrained prime number, wherein the constrained prime number comprises a plurality of component values, wherein each of the plurality of component values comprises a prime number, wherein each of the plurality of component values is different; and generating a non-compressible sequence based at least in part on the initialization parameter and the constrained prime number.

Abstract: Data stream generation using prime numbers is disclosed, including: receiving an initialization parameter; and using the initialization parameter to generate a data stream comprising a merging of a first sequence and a second sequence, wherein the first sequence is generated using a first prime number and the initialization parameter and the second sequence is generated using a second prime number and the initialization parameter.

Abstract: Generating a data stream with a predictable change rate is disclosed, including: receiving a change rate parameter; and using the change rate parameter to provide a modified data stream that differs from a corresponding unmodified non-deduplicatable data stream by an amount determined based at least in part on the change rate parameter, including by: modifying at least a portion of a plurality of data blocks associated with the non-deduplicatable data stream to obtain a corresponding portion of the modified data stream, wherein a data block of the plurality of data blocks is associated with a block size that is based on a segmenting attribute associated with a storage destination.

Abstract: Generating non-compressible data streams is disclosed, including: receiving a sequence comprising a plurality of byte values calculated from an initialization parameter and a constrained prime number; determining a data structure index from a plurality of bits within at least one of the plurality of byte values; retrieving a rotation value from a data structure, wherein the rotation value is stored in the data structure at the data structure index; and rotating a portion of the sequence based on a rotation value to form a rotated sequence, wherein the rotated sequence comprises byte values substantially defeating a predictive compression algorithm.

Abstract: Data stream generation using prime numbers is disclosed, including: receiving an initialization parameter; and using the initialization parameter to generate a data stream comprising a merging of a first sequence and a second sequence, wherein the first sequence is generated using a first prime number and the initialization parameter and the second sequence is generated using a second prime number and the initialization parameter.

Abstract: Generating a data stream with a predictable change rate is disclosed, including: receiving a change rate parameter; and using the change rate parameter to provide a modified data stream that differs from a corresponding unmodified non-deduplicatable data stream by an amount determined based at least in part on the change rate parameter, including by: modifying at least a portion of a plurality of data blocks associated with the non-deduplicatable data stream to obtain a corresponding portion of the modified data stream, wherein a data block of the plurality of data blocks is associated with a block size that is based on a segmenting attribute associated with a storage destination.

Abstract: Generating non-compressible data streams is disclosed, including: receiving an initialization parameter; determining a constrained prime number, wherein the constrained prime number comprises a plurality of component values, wherein each of the plurality of component values comprises a prime number, wherein each of the plurality of component values is different; and generating a non-compressible sequence based at least in part on the initialization parameter and the constrained prime number.

Abstract: Generating non-compressible data streams is disclosed, including: receiving an initialization parameter; determining a constrained prime number, wherein the constrained prime number comprises a plurality of component values, wherein each of the plurality of component values comprises a prime number, wherein each of the plurality of component values is different; and generating a non-compressible sequence based at least in part on the initialization parameter and the constrained prime number.

Abstract: A system and method using a timer management module for managing a circular queue having N Fixed Timer Entries (FTEs) to enable dynamic capacity increase of size M by extending the pointer array referencing the circular queue by M, copying the first “Current Timer Index” entries to the extended pointer array entries, allocating M FTEs, and linking the M FTEs within the circular queue.

Abstract: A circular queue is created with N Fixed Timer Entries associated with a specific address pointer for each entry. An association is developed to relate each fixed entry pointer to its just previous pointer and to its just next occurring pointer. A selected transient New Timer Entry can be inserted between any two selected adjacent Fixed Timer Entries without need to sequence serially through the entire set of fixed entries.

Abstract: A system and method using a timer management module for managing a circular queue having fixed timer entries and temporary new timer entries to enable location of specified new timer entries which can then be deleted at the appropriate time in timer management operations.