Abstract: A server system is provided that includes one or more compute nodes that include at least one processor and a host memory device. The server system further includes a plurality of solid-state drive (SSD) devices, a local non-volatile memory express virtualization (LNV) device, and a non-transparent (NT) switch for a peripheral component interconnect express (PCIe) bus that interconnects the plurality of SSD devices and the LNV device to the at least one processor of each compute node. The LNV device is configured to virtualize hardware resources of the plurality of SSD devices. The plurality of SSD devices are configured to directly access data buffers of the host memory device. The NT switch is configured to hide the plurality of SSD devices such that the plurality of SSD devices are not visible to the at least one processor of each compute node.

Abstract: A server system is provided that includes one or more compute nodes that include at least one processor and a host memory device. The server system further includes a plurality of solid-state drive (SSD) devices, a local non-volatile memory express virtualization (LNV) device, and a non-transparent (NT) switch for a peripheral component interconnect express (PCIe) bus that interconnects the plurality of SSD devices and the LNV device to the at least one processor of each compute node. The LNV device is configured to virtualize hardware resources of the plurality of SSD devices. The plurality of SSD devices are configured to directly access data buffers of the host memory device. The NT switch is configured to hide the plurality of SSD devices such that the plurality of SSD devices are not visible to the at least one processor of each compute node.

Abstract: Various embodiments, methods, and systems for erasure coding with overlapped local reconstruction codes, are provided. An erasure coding scheme can be defined based on Overlapped Local Reconstruction Codes (OLRC) that achieve high storage efficiency by providing fault tolerance properties that optimize reconstruction for common cases of failures while maintaining the reconstruction costs for uncommon case of failures. In operation, a data chunk is divided into data fragments. The data fragments correspond to zones. A plurality of parity fragments is computed using the data fragments. A parity fragment is computed using a subset of the data fragments. The plurality of parity fragments are assigned to the zones comprising the data fragments, where the data fragments and the plurality of parity fragments define overlapped local construction codes having a plurality of local groups. An unavailable data fragment is recoverable from at least two local groups from the plurality of local groups.

Abstract: A server system is provided that includes one or more compute nodes that include at least one processor and a host memory device. The server system further includes a plurality of solid-state drive (SSD) devices, a local non-volatile memory express virtualization (LNV) device, and a non-transparent (NT) switch for a peripheral component interconnect express (PCIe) bus that interconnects the plurality of SSD devices and the LNV device to the at least one processor of each compute node. The LNV device is configured to virtualize hardware resources of the plurality of SSD devices. The plurality of SSD devices are configured to directly access data buffers of the host memory device. The NT switch is configured to hide the plurality of SSD devices such that the plurality of SSD devices are not visible to the at least one processor of each compute node.

Abstract: Described herein is a system and method for utilizing a protocol over RDMA network fabric between a first computing node and a second computing node. The protocol identifies a first threshold and a second threshold. A transfer request is received, and, a data size associated with the transfer request is determined. Based up the data size associated with the transfer request, one of at least three transfer modes is selected to perform the transfer request in accordance with the first threshold and the second threshold. Each transfer mode utilizes flow control and at least one RDMA operation. The selected transfer mode is utilized to perform the transfer request.

Abstract: A server system is provided that includes one or more compute nodes that include at least one processor and a host memory device. The server system further includes a plurality of solid-state drive (SSD) devices, a local non-volatile memory express virtualization (LNV) device, and a non-transparent (NT) switch for a peripheral component interconnect express (PCIe) bus that interconnects the plurality of SSD devices and the LNV device to the at least one processor of each compute node. The LNV device is configured to virtualize hardware resources of the plurality of SSD devices. The plurality of SSD devices are configured to directly access data buffers of the host memory device. The NT switch is configured to hide the plurality of SSD devices such that the plurality of SSD devices are not visible to the at least one processor of each compute node.

Abstract: In various embodiments, methods and systems for implementing a distributed metadata management system in distributed storage systems are provided. A distributed storage system operates based on data storage resources (e.g., extents and streams). The distributed metadata management system is implemented for extent and stream metadata to facilitate the scalability of metadata processing. The distributed storage system implements extent managers and stream managers that independently manage extent and stream metadata, respectively. The extent managers are associated with an extent table that stores extent metadata. The stream managers are associated with streams that store associations with extents. The distributed metadata management system can also utilize a bootstrap layer that leverages components of a legacy distributed storage system to facilitate distributed management of extent and stream metadata.

Abstract: In various embodiments, methods and systems for implementing distributed data object management are provided. The distributed data object management system includes a distributed storage system having a local metadata-consensus information store in and one or more remote metadata-consensus information stores. A metadata-consensus information store is configured to store metadata-consensus information. The metadata-consensus information corresponds to erasure coded fragments of a data object and instruct on how to manage the erasure coded fragments. The distributed storage system further includes a local data store and one or more remote data stores for the erasure coded fragments. The distributed data object management system includes a distributed data object manager for operations including, interface operations, configuration operations, write operations, read operations, delete operations, garbage collection operations and failure recovery operations.

Abstract: A server system is provided that includes one or more compute nodes that include at least one processor and a host memory device. The server system further includes a plurality of solid-state drive (SSD) devices, a local non-volatile memory express virtualization (LNV) device, and a non-transparent (NT) switch for a peripheral component interconnect express (PCIe) bus that interconnects the plurality of SSD devices and the LNV device to the at least one processor of each compute node. The LNV device is configured to virtualize hardware resources of the plurality of SSD devices. The plurality of SSD devices are configured to directly access data buffers of the host memory device. The NT switch is configured to hide the plurality of SSD devices such that the plurality of SSD devices are not visible to the at least one processor of each compute node.

Abstract: Various embodiments, methods, and systems for erasure coding with overlapped local reconstruction codes, are provided. An erasure coding scheme can be defined based on Overlapped Local Reconstruction Codes (OLRC) that achieve high storage efficiency by providing fault tolerance properties that optimize reconstruction for common cases of failures while maintaining the reconstruction costs for uncommon case of failures. In operation, a data chunk is divided into data fragments. The data fragments correspond to zones. A plurality of parity fragments is computed using the data fragments. A parity fragment is computed using a subset of the data fragments. The plurality of parity fragments are assigned to the zones comprising the data fragments, where the data fragments and the plurality of parity fragments define overlapped local construction codes having a plurality of local groups. An unavailable data fragment is recoverable from at least two local groups from the plurality of local groups.

Abstract: In various embodiments, methods and systems for implementing distributed data object management are provided. The distributed data object management system includes a local metadata-consensus information store and one or more remote metadata-consensus information stores for metadata-consensus information and a local data store and one or more remote data stores for erasure coded fragments. For a write operation, corresponding metadata writes and data writes are performed in parallel using a metadata write path and a data write path, respectively, when writing to the local metadata-consensus information store and the one or more remote metadata-consensus information stores and the local data store and the one or more remote data stores. And, for a read operation, corresponding metadata reads and data reads are performed in parallel using a metadata read path and a data read path, respectively, when reading from the metadata-consensus information stores and the data stores.

Abstract: The techniques described herein are configured to improve the remanufacturing process by waiting to rebuild selective data items stored on a storage device that is unavailable. A storage device is unavailable when it is taken offline and/or disconnected from a network. The storage device may be taken offline due to a failed component (e.g., an actuator arm, an actuator head, damage to the underlying storage media, etc.). The storage device comprises multiple independent logical units, where a logical unit is a uniquely addressable portion of a storage device that is visible and/or that is exposed to a host. Accordingly, the techniques described herein are configured to conserve resources by selectively rebuilding data items stored in logical units of an offline storage device that are not affected by a remanufacturing process implemented due to a failed component.

Abstract: In various embodiments, methods and systems for implementing a distributed metadata management system in distributed storage systems are provided. A distributed storage system operates based on data storage resources (e.g., extents and streams). The distributed metadata management system is implemented for extent and stream metadata to facilitate the scalability of metadata processing. The distributed storage system implements extent managers and stream managers that independently manage extent and stream metadata, respectively. The extent managers are associated with an extent table that stores extent metadata. The stream managers are associated with streams that store associations with extents. The distributed metadata management system can also utilize a bootstrap layer that leverages components of a legacy distributed storage system to facilitate distributed management of extent and stream metadata.

Abstract: In various embodiments, methods and systems for implementing garbage collection in distributed storage systems are provided. The distributed storage system operates based on independent management of metadata of extent and stream data storage resources. A hybrid garbage collection system based on reference counting garbage collection operations and mark-and-sweep garbage collection operations is implemented. An extent lifetime table that tracks reference weights and mark sequences for extents is initialized and updated based on indications from extent managers and stream managers, respectively. Upon determining that an extent is to be handed-off from weighted reference counting garbage collection operations to mark-and-sweep garbage collection operations, a reference weight field for the extent is voided and a mark sequence field of the extent is updated. The mark sequence field is updated with a latest global sequence number.

Abstract: A data-storage system comprises a head receiver configured to variably receive up to a number M of write heads. The data-storage system also includes an installed number N of write heads arranged in the head receiver, a substrate receiver configured to receive one or more data-storage substrates, and a positioner machine configured to adjust a relative placement of each of the M write heads with respect to at least one of the one or more data-storage substrates.

Abstract: A data-storage system comprises a head receiver configured to variably receive up to a number M of write heads. The data-storage system also includes an installed number N of write heads arranged in the head receiver, a substrate receiver configured to receive one or more data-storage substrates, and a positioner machine configured to adjust a relative placement of each of the M write heads with respect to at least one of the one or more data-storage substrates.

Abstract: Described herein is a system and method for utilizing a protocol over RDMA network fabric between a first computing node and a second computing node. The protocol identifies a first threshold and a second threshold. A transfer request is received, and, a data size associated with the transfer request is determined. Based up the data size associated with the transfer request, one of at least three transfer modes is selected to perform the transfer request in accordance with the first threshold and the second threshold. Each transfer mode utilizes flow control and at least one RDMA operation. The selected transfer mode is utilized to perform the transfer request.

Abstract: A data-storage system comprises a head receiver configured to variably receive up to a number M of write heads. The data-storage system also includes an installed number N of write heads arranged in the head receiver, a substrate receiver configured to receive one or more data-storage substrates, and a positioner machine configured to adjust a relative placement of each of the M write heads with respect to at least one of the one or more data-storage substrates.

Abstract: In various embodiments, methods and systems for implementing a distributed metadata management system in distributed storage systems are provided. A distributed storage system operates based on data storage resources (e.g., extents and streams). The distributed metadata management system is implemented for extent and stream metadata to facilitate the scalability of metadata processing. The distributed storage system implements extent managers and stream managers that independently manage extent and stream metadata, respectively. The extent managers are associated with an extent table that stores extent metadata. The stream managers are associated with streams that store associations with extents. The distributed metadata management system can also utilize a bootstrap layer that leverages components of a legacy distributed storage system to facilitate distributed management of extent and stream metadata.

Abstract: A data-storage system comprises a head receiver configured to variably receive up to a number M of write heads. The data-storage system also includes an installed number N of write heads arranged in the head receiver, a substrate receiver configured to receive one or more data-storage substrates, and a positioner machine configured to adjust a relative placement of each of the M write heads with respect to at least one of the one or more data-storage substrates.