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.

Methods and systems for storing data at a storage device of a storage system are provided. The data is first temporarily stored at a first write cache and an input/output request for a persistence storage device used as a second write cache is generated, when an I/O request size including the received data has reached a threshold value. The data from the first cache is transferred to the persistence storage device and a recovery control block with a location of the data stored at the persistence storage device is updated. An entry is added to a linked list that is used to track valid data stored at the persistence storage device and then the data is transferred from the persistence storage device to the storage device of the storage system.

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.

Systems, apparatuses, and methods can include a multi-stage cache for providing high reliability, availability, and serviceability (RAS). The multi-stage cache memory comprises a shadow DRAM, which is provided on a volatile main memory module, coupled to a memory controller cache, which is provided on a memory controller. During a first write operation, the memory controller writes data with a strong error correcting code (ECC) from the memory controller cache to the shadow DRAM without writing a RAID (Redundant Arrays of Inexpensive Disks) parity data. During a second write operation, the memory controller writes the data with the strong ECC and writes the RAID parity data from the shadow DRAM to a memory device provided on the volatile main memory module.

A method begins with receiving an encoded data slice that has associated therewith a slice name that is representative of a dispersed storage network (DSN) logical address. The method continues with accessing a DSN address to memory device mapping based on the DSN logical address to identify a memory device of the storage unit. The method continues with retrieving a logical zone to physical address space mapping of the identified memory device. The method continues with determining information regarding the encoded data slice and a logical zone of the memory device from the logical zone to physical address space mapping based on the encoded data slice information. The method continues with generating a physical address within the identified logical zone for storing the encoded data slice. The method continues with storing the encoded data slice within the identified memory device at the physical address.

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 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.

A data storage system has a plurality of hosts that request writes of data to a relatively high-performance storage device (RHPSD) such as NVRAM, which may be one of a plurality of RHPSDs in a plurality of storage nodes. A storage management system receives the write requests and writes received data to the RHPSD. According to an allocation policy, the storage management system indicates to at least one of the hosts that it should limit its use of RHPSD and it then discards data upon indication from that host to do so. Before being discarded from the RHPSD, the data may be written to a persistent storage device.

A data storage system has a plurality of hosts that request writes of data to a relatively high-performance storage device (RHPSD) such as NVRAM, which may be one of a plurality of RHPSDs in a plurality of storage nodes. A storage management system receives the write requests and writes received data to the RHPSD. According to an allocation policy, the storage management system indicates to at least one of the hosts that it should limit its use of RHPSD and it then discards data upon indication from that host to do so. Before being discarded from the RHPSD, the data may be written to a persistent storage device.

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.

For a high availability cache, a cache module obtains permission to manage the cache in response to a failover event in a server cluster by communicating a cache coherency token. An update module rebuilds a cache directory from data stored in the cache and accesses the cache without reloading the data stored in the cache.