Abstract: In the data storage system the storage area network performs XOR operations on incoming data for parity generation without buffering data through a centralized RAID engine or processor. The hardware for calculating the XOR data is distributed to incrementally calculate data parity in parallel across each data channel and may be implemented as a set of FPGAs with low bandwidths to efficiently scale as the amount of storage memory increases. A host adaptively appoints data storage controllers in the storage area network to perform XOR parity operations on data passing therethrough. The system provides data migration and parity generation in a simple and effective matter and attains a reduction in cost and power consumption.

Abstract: A data migrating system and method are provided in which a Burst Buffer Network Aggregator (BBNA) process is configured either on the File Servers or on the File System's dedicated I/O nodes to coalesce data fragments stored in participating Burst Buffer nodes under the direction of a primary BB node appointed by a data generating entity prior to transfer of the full data stripe into the File System. The “write” request in the form of a full data stripe is distributed into a plurality of data fragments among participating BB nodes along with corresponding metadata.

Abstract: A data storage system employs a de-clustered RAID (DCR) organization with a Vertical Rotation approach to prevent overflow of cache buffers. The Vertical Rotation Controller limits the size of the I/O operation relative to a respective Physical Disk Extent (PDE) to the cache buffer, and writes/reads a computed parity stripe matching the size of the cache, to form chunk bundles in the PDEs. When a bundle is filled in a first PDE residing at a first row, a PDE residing at a second row vertically displaced from the first row is engaged for forming another bundle. The process continues until all PDEs in a Vertical Rotation Group (VRG) are filled, or continues to a next VRG vertically displaced from a previous one to end I/O requesting.

Abstract: Asymmetric distributed replicated data storage systems and methods are described herein. The storage system includes zones that are independent, and autonomous. The zones include nodes that are independent and autonomous. The nodes include storage devices. When a data item is stored, it is partitioned into a plurality of data objects and a plurality of parity objects using erasure coding. The data objects and parity objects are spread across all nodes and zones in the storage system asymmetrically such that a first zone includes all of the data objects and no parity objects while the remaining zones include subsets of the data objects and all of the parity objects. The systems and methods provide for data resiliency while keeping the amount of storage space required relatively low.

Abstract: Data storage systems and methods for storing data are described herein. An intermediate storage system is coupled with a High Performance Computing (HPC) system. A plurality of burst engines of the intermediate storage system are directly connected to compute nodes of the HPC. The burst engines are operative to receive file level data from the compute nodes at data transfer rates that at least match to the burst mode output rate of the compute node. The burst engines store the data to high bandwidth storage devices of the intermediate storage system at a data rate that at least matches the burst output rate of the compute node. During a compute phase of the compute node, data is replayed from the intermediate storage devices to a primary storage system at a lower data transfer rate.

Abstract: Provided herein are systems, apparatuses and methods (i.e., utilities) that allow for increasing the bandwidth of a processing complex of a storage controller. The utilities utilize a symmetrical approach where PCIe switches overcome limitations of prior art processor complexes. The symmetrical approach provided by the disclosed utilities as incorporated into a storage controller provides equal access from any host path/channel to any drive path/channel (i.e., storage element). More specifically, a first or a first set of PCIe switches connect front-end PCIe host bus adaptors, which are connectable to host systems, to front-end data paths of a plurality of PCIe memory controllers. A second or second set of PCIe switches connect backend host bus adapters, which are connectable to storage elements, to back-end data paths of the plurality of PCIe memory controllers. The symmetrical architecture provides at least twice the bandwidth of prior art architectures.

Abstract: A data storage system is implemented with an active power monitoring and control performed by a control node elected among a number of nodes. A real-time power monitoring information is supplied to the control node from, a power monitoring logic residing at each device in the system. The devices in the data storage system are pre-allocated with respective individual power budgets which are below the maximum power usage thereof. The power budgets of all the equipment cumulatively constitute a power budget assigned to the group of equipment. The control node controls dynamically and in real time power sharing between the plurality devices so that the devices with required power usage below the pre-allocated power budget can share their extra power credits with devices which are in need for extra power for performing its operation.

Abstract: The present invention is directed to data migration, and particularly, Parity Group migration, between high performance data generating entities and data storage structure in which distributed NVM arrays are used as a single intermediate logical storage which requires a global registry/addressing capability that facilitates the storage and retrieval of the locality information (metadata) for any given fragment of unstructured data and where Parity Group Identifier and Parity Group Information (PGI) descriptors for the Parity Groups' members tracking, are created and distributed in the intermediate distributed NVM arrays as a part of the non-deterministic data addressing system to ensure coherency and fault tolerance for the data and the metadata. The PGI descriptors act as collection points for state describing the residency and replay status of members of the Parity Groups.

Abstract: Systems and methods for reducing metadata in a write-anywhere storage system are disclosed herein. The system includes a plurality of clients coupled with a plurality of storage nodes, each storage node having a plurality of primary storage devices coupled thereto. A memory management unit including cache memory is included in the client. The memory management unit serves as a cache for data produced by the clients before the data is stored in the primary storage. The cache includes an extent cache, an extent index, a commit cache and a commit index. The movement of data and metadata is by an interval tree. Methods for reducing data in the interval tree increase data storage and data retrieval performance of the system.

Abstract: The present invention is directed to data migration, and particularly, Parity Group migration, between high performance data generating entities and data storage structure in which distributed NVM arrays are used as a single intermediate logical storage which requires a global registry/addressing capability that facilitates the storage and retrieval of the locality information (metadata) for any given fragment of unstructured data and where Parity Group Identifier and Parity Group Information (PGI) descriptors for the Parity Groups' members tracking, are created and distributed in the intermediate distributed NVM arrays as a part of the non-deterministic data addressing system to ensure coherency and fault tolerance for the data and the metadata. The PGI descriptors act as collection points for state describing the residency and replay status of members of the Parity Groups.

Abstract: Systems and methods for adaptive asynchronous data replication in a data storage system are described herein. The data storage system includes a plurality of zones each having a plurality of storage nodes, each having a plurality of storage devices. The system provides for replication according to policies associated with data items such that data items are stored among a plurality of zones. The data items are stored as one or more objects and may be replicated asynchronously or synchronously. The system adapts the synchronicity of the replication based on a combination of criteria including a put performance threshold, a backlog threshold, latency and the current synchronicity status. By automatically adjusting the replication synchronicity, the system and methods achieve improved performance while maintaining data resiliency.

Abstract: System and methods for managing I/O write requests of host systems to physical storage. A storage subsystem includes a plurality of storage devices where each storage device is configured to provide data storage. At least a pair of redundant controllers is connected to the plurality of storage devices for executing the I/O write requests from the host systems. A received I/O write request is initially saved in a controller memory of one of the controllers and mirrored in controller memory of the other controller. In one embodiment, the I/O write request is transferred to a flash memory device for subsequent transfer to the storage devices. Once transferred to the flash memory device, the I/O write request may be flushed from the controller memories. The I/O write request may then be transferred to the storage devices from the flash memory device as a background operation.

Abstract: A resilient distributed replicated data storage system is described herein. The storage system includes zones that are independent, and autonomous from each other. The zones include nodes that are independent and autonomous. The nodes include storage devices. When a data item is stored, it is partitioned into a plurality of data objects and a plurality of parity objects are calculated. Reassembly instructions are created for the data item. The data objects, parity objects and reassembly instructions are spread across nodes and zones in the storage system according to a policy for the data item. When a zone is inaccessible, a virtual zone is created and used until the intended zone is available. When a read request is received, the data item is prepared from the lowest latency nodes according to the reassembly instructions, and a virtual zone is accessed in place of a real zone when the real zone is inaccessible.

Abstract: Data storage systems and methods for storing data are described herein. The storage system may be integrated with or coupled with a compute cluster or super computer having multiple computing nodes. A plurality of nonvolatile memory units may be included with computing nodes, coupled with computing nodes or coupled with input/output nodes. The input/output nodes may be included with the compute cluster or super computer, or coupled thereto. The nonvolatile memory units store data items provided by the computing nodes, and the input/output nodes maintain where the data items are stored in the nonvolatile memory units via a hash table distributed among the input/output nodes. The use of a distributed hash table allows for quick access to data items stored in the nonvolatile memory units even as the computing nodes are writing large amounts of data to the storage system quickly in bursts.

Abstract: An object based file system for storing and accessing objects is disclosed. The file system may be implemented as a method in hardware, firmware, software, or a combination thereof. The method may include receiving from an application program an object write request. A selected storage node on which to store the object may be selected, including identifying a least busy storage node and/or a least full storage node. The object and the object write request may be sent to the selected storage node. A write success message may be received from the selected storage node. The successful writing of the object may be reported to the application program.

Abstract: An object based file system for storing and accessing objects is disclosed. The file system may be implemented as a method in hardware, firmware, software, or a combination thereof. The method may include receiving from an application program an object write request. A selected storage node on which to store the object may be selected, including identifying a least busy storage node and/or a least full storage node. The object and the object write request may be sent to the selected storage node. A write success message may be received from the selected storage node. The successful writing of the object may be reported to the application program.

Abstract: A data storage system allowing for ingest of data when certain storage is unavailable is described herein. The storage system includes zones that are independent and autonomous from each other. The zones include nodes that are independent and autonomous. The nodes include storage devices. When data is to be stored in the data storage system according to a specified storage policy and the specified storage policy cannot be achieved, the data is stored according to a fallback storage policy. This allows a client to be able to continue executing without having to wait for a storage anomaly to be corrected or pass. After the data is stored according to a fallback storage policy, the data is at a later time stored according to the specified storage policy.

Abstract: A searchable data storage system is described herein. The storage system includes zones that are independent, and autonomous from each other. The zones include nodes that are independent and autonomous. The nodes include storage devices. When a data item is stored, a local database is updated with information about the newly stored data item. When a search for a data item meeting certain metadata criteria is received, multiple concurrent searches are conducted across all storage devices in all nodes in all zones of the storage system. The configuration of the data storage system allows a parallel concurrent search at constituent storage devices to be performed quickly.

Abstract: Data storage systems and methods for storing data are described herein. The storage system includes a first storage node is configured to issue a first delivery request to a first set of other storage nodes in the storage system, the first delivery request including a first at least one data operation for each of the first set of other storage nodes and issuing at least one other delivery request, while the first delivery request remains outstanding, the at least one other delivery request including a first commit request for each of the first set of other storage nodes. The first node causes the first at least one data operation to be made active within the storage system in response to receipt of a commit indicator along with a delivery acknowledgement regarding one of the at least one other delivery request.

Abstract: Data storage systems and methods for storing data are described herein. The storage system includes at least two data storage nodes for storing portions of a distributed hash table and related data. After a first node attempts to complete a write request at a second node and is unable to complete the request, the first node ceases responses to interactions from other nodes. Once the first node's failure to respond has caused a sufficient number of nodes to cease responding, the nodes enter a service mode to resolve the live lock. While in live lock, the nodes determine the oldest, unfulfilled request using a system-wide logical timestamp associated with write requests. Once the oldest request is determined, a removal vote to remove the non-responsive node from the group is initiated and, if other nodes agree, the non-responsive node is removed from the group of nodes.