Abstract: A method, computer program product, and computing system for processing a plurality of input/output (IO) operations on a plurality of storage objects of a storage system. The plurality of storage objects may be divided into a plurality of storage object groups based upon, at least in part, the plurality of IO operations processed on the plurality of storage objects. Each storage object group may be associated with an IO machine learning model selected from a plurality of IO machine learning models, thus defining a plurality of storage object group-specific IO machine learning models. IO performance data may be forecasted for the plurality of storage objects using the plurality of storage object group-specific IO machine learning models.

Abstract: A method, computer program product, and computing system for determining that one non-volatile random access memory (NVRAM) drive of a pair of NVRAM drives of a storage system is offline, thus defining an offline NVRAM drive and an online NVRAM drive. A virtual disk may be generated on a plurality of solid-state disks (SSDs) of the storage system. The contents of the online NVRAM drive may be copied to the virtual disk. The virtual disk may be exposed to the storage system as a representation of the offline NVRAM drive.

Abstract: A method, computer program product, and computing system for defining one or more user data portions and at least two reserved portions of a solid-state drive (SSD). An operating mode of the SSD may be determined. One or more of the at least two reserved portions of the SSD may be utilized based upon, at least in part, the operating mode of the SSD.

Abstract: A method, computer program product, and computing system for receiving a plurality of physical layer blocks (PLBs). A subset of PLBs may be selected from the plurality of PLBs for combining into a combined PLB based upon, at least in part, a utilization of each PLB of the plurality of PLBs, an average compression per active virtual, and a number of free PLBs generated when combining into the combined PLB. One or more PLBs of the subset of PLBs may be compressed based upon, at least in part, the average compression per active virtual. The one or more PLBs of the subset of PLBs may be combined into the combined PLB.

Abstract: A system and method improve caching efficiency in a data storage system by performing machine learning processes on metadata relating to extents of data blocks, rather than individual blocks themselves. Thus, once the storage devices are divided into extents, various metadata regarding access to the blocks within each extent are aggregated, and per-extent features are extracted. These features are used to train a data regression model that is subsequently used to infer a most likely “hotness” value for each extent at a future time. These predicted values, which may be further classified as e.g. “hot”, “warm”, and “cold” using thresholds, are used to implement the cache replacement policy. Embodiments scale to large and multi-layered caches, and may avoid common caching problems like thrashing, by adjusting the extent size. Policy goal functions may be optimized by dynamically adjusting the classification thresholds.

Abstract: A method is used for tracking storage utilization in a storage system. An amount of physical storage space available for use on an appliance is determined. The amount of storage space consumed by each type of data being stored on the appliance is normalized. These normalized amounts are used to determine an amount of storage space on the appliance consumed by the data. When a percentage of storage space consumed on the appliance exceeds a threshold, an alert is generated.

Abstract: A method is used for efficient storage allocation in a storage system. An infrastructure manager receives a request for storage from a first storage operating entity. The infrastructure manager identifies, from entries in a pagebin, a pagelist with sufficient available storage to satisfy the request. The infrastructure manager locks the pagebin while assigning the identified pagelist to the first storage operating entity. Upon a commitment of the identified pagelist by the first storage operating entity, the infrastructure manager unlocks the pagebin and identifies, from the entries in the pagebin, a second pagelist with sufficient available storage to satisfy a request from a second storage operating entity.

Abstract: A system and method improve caching efficiency in a data storage system by performing machine learning processes on metadata relating to extents of data blocks, rather than individual blocks themselves. Thus, once the storage devices are divided into extents, various metadata regarding access to the blocks within each extent are aggregated, and per-extent features are extracted. These features are used to train a data regression model that is subsequently used to infer a most likely “hotness” value for each extent at a future time. These predicted values, which may be further classified as e.g. “hot”, “warm”, and “cold” using thresholds, are used to implement the cache replacement policy. Embodiments scale to large and multi-layered caches, and may avoid common caching problems like thrashing, by adjusting the extent size. Policy goal functions may be optimized by dynamically adjusting the classification thresholds.

Abstract: A method, computer program product, and computing system for defining a token pool size for a storage system token pool associated with a storage system. An input/output (IO) processing load for the storage system may be determined. The token pool size for the storage system token pool associated with the storage system may be dynamically adjusted based upon, at least in part, one or more changes in the IO processing load determined for the storage system.

Abstract: A method, computer program product, and computer system for receiving an indication about an amount of background IOs a background scheduler is capable of performing on a plurality of applications, wherein the indication may be based upon, at least in part, one of host IO latency and a rate of the host IO latency being at one of a plurality of levels. One or more applications of the plurality of applications on which to perform the background IOs may be determined. The background IO applications to be performed on the one or more applications of the plurality of applications may be scheduled based upon, at least in part, one of the host IO latency and the rate of the host IO latency being at one of the plurality of levels.

Abstract: A method, system, and computer program product for encoded virtual block deferred reference counting comprising receiving an input/output (“IO”) request for data, the data associated with a virtual block, updating a reference count structure to reflect the IO request, and updating, out of line from the IO request, one or more reference counts associated with the virtual block to reflect the result of the IO request based on the updated reference count structure.

Abstract: A method is used in improving rebuilding in data storage. The generation number of a PLB is compared with a generation number of a partition corresponding to the PLB. The data of the PLB is rebuilt based on the comparison.

Abstract: A method, computer program product, and computing system for receiving a candidate data portion; calculating a distance-preserving hash for the candidate data portion; and performing an entropy analysis on the distance-preserving hash to generate a hash entropy for the candidate data portion.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a first amount of storage space reserved by RAID for a RAID rebuild of a failed drive. A second amount of the storage space reserved by a file system may be identified, wherein the storage space may be shared between the RAID and the file system. The RAID rebuild of the failed drive may be performed. The first amount of the storage space may be allocated to the RAID from the second amount of the storage space reserved by the file system.

Abstract: A method, computer program product, and computing system for defining a token pool size for a storage system token pool associated with a storage system. An input/output (IO) processing load for the storage system may be determined. The token pool size for the storage system token pool associated with the storage system may be dynamically adjusted based upon, at least in part, one or more changes in the IO processing load determined for the storage system.

Abstract: A method is used in improving rebuilding in data storage. The generation number of a PLB is compared with a generation number of a partition corresponding to the PLB. The data of the PLB is rebuilt based on the comparison.

Abstract: A method, system, and computer program product for multi-generational virtual block compaction comprising identifying a first virtual block, the first virtual block being associated with a first generation number, determining a second virtual block as an appropriate target for live information in the first virtual block, creating an association between the second virtual block and the first virtual block, updating the live information in the first virtual block to be associated with the second virtual block, updating a generation information mapping associated with the first virtual block; and associating a second generation number with the first virtual block.

Abstract: A method is used for efficient storage allocation in a storage system. An infrastructure manager receives a request for storage from a first storage operating entity. The infrastructure manager identifies, from entries in a pagebin, a pagelist with sufficient available storage to satisfy the request. The infrastructure manager locks the pagebin while assigning the identified pagelist to the first storage operating entity. Upon a commitment of the identified pagelist by the first storage operating entity, the infrastructure manager unlocks the pagebin and identifies, from the entries in the pagebin, a second pagelist with sufficient available storage to satisfy a request from a second storage operating entity.

Abstract: A method is used for tracking storage utilization in a storage system. An amount of physical storage space available for use on an appliance is determined. The amount of storage space consumed by each type of data being stored on the appliance is normalized. These normalized amounts are used to determine an amount of storage space on the appliance consumed by the data. When a percentage of storage space consumed on the appliance exceeds a threshold, an alert is generated.

Abstract: A method, computer program product, and computing system for performing an entropy analysis on each of a plurality of candidate data chunks associated with a potential candidate to generate a plurality of candidate data chunk entropies; performing an entropy analysis on each of a plurality of target data chunks associated with a potential target to generate a plurality of target data chunk entropies; identifying a candidate data chunk entropy limit, chosen from the plurality of candidate data chunk entropies, and a target data chunk entropy limit, chosen from the plurality of candidate data chunk entropies; and comparing a specific candidate data chunk associated with the candidate data chunk entropy limit to a specific target data chunk associated with the target data chunk entropy limit to determine if the specific candidate data chunk and the specific target data chunk are identical.