There are provided methods and systems for improving RAS features of a memory device. For example, there is provided a system that includes a memory and a memory side cache. The system further includes a processor that is configured to minimize accesses to the memory by executing certain operations. The operations can include computing a new parity based on old data, new data, and an old parity in response to data from the memory side cache being written to the memory.

Expandable cache management dynamically manages cache storage for multiple network shares configured in a file server. Once a file is written to a directory or folder on a specially designated network share, such as one that is configured for “infinite backup,” an intermediary pre-backup copy of the file is created in an expandable cache in the file server that hosts the network share. On write operations, cache storage space can be dynamically expanded or freed up by pruning previously backed up data. This advantageously creates flexible storage caches in the file server for each network share, each cache managed independently of other like caches for other network shares on the same file server. On read operations, intermediary file storage in the expandable cache gives client computing devices speedy access to data targeted for backup, which is generally quicker than restoring files from backed up secondary copies.

A storage system includes a plurality of storage media and a method of managing volumes of the storage system is applied thereto. The method includes receiving a volume management request and correlation information between the volumes, and allocating storage spaces of the storage media to the volumes based on the correlation information between the volumes. The correlation information indicates information of the volumes in which the allocated storage media are physically isolated from each other.

A storage management method includes receiving a degrade signal indicating a degraded state of a virtual disk associated with a host system. Rebuild-flush operations may be performed. The operations may include writing, to the virtual disk and also to a hot spare drive (HSP) associated with the virtual disk, valid-modified data, stored in a host storage cache, associated with the virtual disk. In contrast, valid-unmodified storage cache data associated with the virtual disk, may be written to the HSP only. After the rebuild-flush completes, the virtual disk may be rebuilt. During rebuild, however, any cached-LBA may be skipped where traditional RAID rebuild operations are performed for un-cached LBAs only.

According to an example, a failed component in a fault-tolerant memory fabric may be determined by transmitting request packets along a plurality of routes between the redundancy controller and a media controller in periodic cycles. The redundancy controller may determine whether route failures for all of the plurality of routes have occurred within a number of consecutive periodic cycles. In response to determining that route failures for all of the plurality of routes have occurred within a number of consecutive periodic cycles, the media controller is established as failed. In response to determining that route failures for less than all of the plurality of routes have occurred within the number of consecutive periodic cycles, a fabric device is established as failed.

A paging scheme for a Solid State Drive (SSD) error correction mechanism that exchanges portions of a parity component, such as a page, between SRAM and less expensive DRAM, which stores the remainder of a context of pages. A parity operation applies an XOR function to corresponding memory positions in the pages of the context. Dedicated error correction (parity) SRAM need only enough memory for portions of memory, typically a cache line of a page, upon which the parity operation (XOR) is operating. The remaining portions in the context are swapped, or paged out, by cache logic such that the entire context is iteratively processed (XORed) by the parity operation.

Techniques for performing data encryption on data to be stored within a storage system are provided. A client application executing on a host machine may generate a data storage write request to write data to a storage system. A host-side module, executing on the host machine receives the write request. The host-side module is configured to generate one or more fingerprints for the data corresponding to the write request, where the one or more fingerprints are unique identifiers used to identify data blocks that make up the data. The host-side module generates encrypted data by encrypting the data blocks using an encryption technique. The encrypted data is then sent to a storage node within the storage system. Deduplication may be performed on the encrypted data using the one or more generated fingerprints.

A redundant data calculation method and apparatus. The method is applied to the redundant data calculation apparatus including a processor and a redundant data calculation unit. In the method, after obtaining to-be-processed data, the processor stores the to-be-processed data in cache space of the redundant data calculation unit. The redundant data calculation unit obtains the to-be-processed data from the cache space and performs calculation for checking the to-be-processed data to obtain redundant data corresponding to the to-be-processed data.

A data storage system includes a plurality of hosts, each of which includes at least one processor and communicates over a network with a plurality of storage nodes, at least one of which has at least one storage device, at least one storage controller, and at least one non-volatile memory. At least one process within a host issues data storage read/write requests. At least one of the hosts has a cache for caching data stored in at least one of the plurality of storage nodes. The host writes data corresponding to a write request to at least one remote non-volatile memory and carries out at least one storage processing function; data in the written-to node may then be made available for subsequent reading by a different one of the hosts. Examples of the storage processing function include compression, ECC computation, deduplicating, garbage collection, write logging, reconstruction, rebalancing, and scrubbing.

Expandable cache management dynamically manages cache storage for multiple network shares configured in a file server. Once a file is written to a directory or folder on a specially designated network share, such as one that is configured for infinite backup, an intermediary pre-backup copy of the file is created in an expandable cache in the file server that hosts the network share. On write operations, cache storage space can be dynamically expanded or freed up by pruning previously backed up data. This advantageously creates flexible storage caches in the file server for each network share, each cache managed independently of other like caches for other network shares on the same file server. On read operations, intermediary file storage in the expandable cache gives client computing devices speedy access to data targeted for backup, which is generally quicker than restoring files from backed up secondary copies.