Abstract: In a running distributed data storage system that actively processes I/Os, metadata nodes are commissioned and decommissioned without taking down the storage system and without introducing interruptions to metadata or payload data I/O. The inflow of reads and writes continues without interruption even while new metadata nodes are in the process of being added and/or removed and the strong consistency of the system is guaranteed. Commissioning and decommissioning nodes within the running system enables streamlined replacement of permanently failed nodes and advantageously enables the system to adapt elastically to workload changes. An illustrative distributed barrier logic (the “view change barrier”) controls a multi-state process that controls a coordinated step-wise progression of the metadata nodes from an old view to a new normal. Rules for I/O handling govern each state until the state machine loop has been traversed and the system reaches its new normal.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.

Abstract: In a running distributed data storage system that actively processes I/Os, metadata nodes are commissioned and decommissioned without taking down the storage system and without introducing interruptions to metadata or payload data I/O. The inflow of reads and writes continues without interruption even while new metadata nodes are in the process of being added and/or removed and the strong consistency of the system is guaranteed. Commissioning and decommissioning nodes within the running system enables streamlined replacement of permanently failed nodes and advantageously enables the system to adapt elastically to workload changes. An illustrative distributed barrier logic (the “view change barrier”) controls a multi-state process that controls a coordinated step-wise progression of the metadata nodes from an old view to a new normal. Rules for I/O handling govern each state until the state machine loop has been traversed and the system reaches its new normal.

Abstract: In a running distributed data storage system that actively processes I/Os, metadata nodes are commissioned and decommissioned without taking down the storage system and without introducing interruptions to metadata or payload data I/O. The inflow of reads and writes continues without interruption even while new metadata nodes are in the process of being added and/or removed and the strong consistency of the system is guaranteed. Commissioning and decommissioning nodes within the running system enables streamlined replacement of permanently failed nodes and advantageously enables the system to adapt elastically to workload changes. An illustrative distributed barrier logic (the “view change barrier”) controls a multi-state process that controls a coordinated step-wise progression of the metadata nodes from an old view to a new normal. Rules for I/O handling govern each state until the state machine loop has been traversed and the system reaches its new normal.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.

Abstract: In a running distributed data storage system that actively processes I/Os, metadata nodes are commissioned and decommissioned without taking down the storage system and without introducing interruptions to metadata or payload data I/O. The inflow of reads and writes continues without interruption even while new metadata nodes are in the process of being added and/or removed and the strong consistency of the system is guaranteed. Commissioning and decommissioning nodes within the running system enables streamlined replacement of permanently failed nodes and advantageously enables the system to adapt elastically to workload changes. An illustrative distributed barrier logic (the “view change barrier”) controls a multi-state process that controls a coordinated step-wise progression of the metadata nodes from an old view to a new normal. Rules for I/O handling govern each state until the state machine loop has been traversed and the system reaches its new normal.

Abstract: In a running distributed data storage system that actively processes I/Os, metadata nodes are commissioned and decommissioned without taking down the storage system and without introducing interruptions to metadata or payload data I/O. The inflow of reads and writes continues without interruption even while new metadata nodes are in the process of being added and/or removed and the strong consistency of the system is guaranteed. Commissioning and decommissioning nodes within the running system enables streamlined replacement of permanently failed nodes and advantageously enables the system to adapt elastically to workload changes. An illustrative distributed barrier logic (the “view change barrier”) controls a multi-state process that controls a coordinated step-wise progression of the metadata nodes from an old view to a new normal. Rules for I/O handling govern each state until the state machine loop has been traversed and the system reaches its new normal.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.

Abstract: Disclosed deduplication techniques at a distributed data storage system guarantee that space reclamation will not affect deduplicated data integrity even without perfect synchronization between components. By understanding certain “behavioral” characteristics and schedule cadences of backup operations that generate backup copies received at the distributed data storage system, data blocks that are not re-written by subsequent backup copies are pro-actively aged, while promoting continued retention of data blocks that are re-written. An expiry scheme operates with block-level granularity. Each unique deduplicated data block is given an expiry timeframe based on the block's arrival time at the distributed data storage system (i.e., when a backup copy supplies the block) and further based on backup frequencies of the various virtual disks referencing a unique system-wide identifier of the block, which is based on the block's hash value. Communications between components are kept to an as-needed basis.