Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: Example storage systems and methods provide data storage management using parallel processing of filtered transaction logs. Transaction logs are comprised of log entries corresponding to storage operations for at least one storage node. Sets of log entries are sequentially retrieved from the transaction log and filtered through multiple transaction log filters to generate multiple subsets of the log entries. Different metadata operations are executed in parallel using the different filtered subsets of log entries.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Example storage systems and methods provide data storage management using parallel processing of filtered transaction logs. Transaction logs are comprised of log entries corresponding to storage operations for at least one storage node. Sets of log entries are sequentially retrieved from the transaction log and filtered through multiple transaction log filters to generate multiple subsets of the log entries. Different metadata operations are executed in parallel using the different filtered subsets of log entries.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy based on a query from a storage node ingesting an object into a distributed storage system. A hierarchical data protection plan comprising protection schemes at different layers of the distributed storage system is determined. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on the hierarchical data protection plan. The storage management computing device instructs the ingesting storage node to store the object into the distributed storage system according to the hierarchical data protection plan.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy based on a query from a storage node ingesting an object into a distributed storage system. A hierarchical data protection plan comprising protection schemes at different layers of the distributed storage system is determined. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on the hierarchical data protection plan. The storage management computing device instructs the ingesting storage node to store the object into the distributed storage system according to the hierarchical data protection plan.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (“node”) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

Abstract: Techniques are disclosed for detection of loss or corruption among data chunks (i.e. silent data loss) corresponding to an object stored in an erasure-coded storage system. In one embodiment, one of the data chunks stored in a storage node is selected for integrity verification. The storage node computes a current checksum for the selected data chunk. The integrity of the data chunk is determined based upon a comparison of the current checksum for the data chunk with a stored checksum for the data chunk. In response to the checksums differing, the storage node requests recovery of the data chunk from the erasure-coded storage system. The data chunk is stored by the storage node if the data chunk is recovered.

Abstract: A method, non-transitory computer readable medium, and storage management computing device that assists with distributing erasure coded fragments in geo-distributed storage nodes includes receiving an object and a storage reliability requirement from a client computing device. Erasure coding is performed on the received object using an erasure coding scheme. An erasure coding group from a plurality of erasure coding groups present in a plurality of geographically distributed storage nodes is determined based on the received storage reliability requirement and the erasure coding scheme. The erasure coded object is distributed to the determined erasure coding group from the plurality of erasure coding groups in the plurality of geographically distributed storage nodes.

Abstract: A storage management computing device obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.

Abstract: A method, non-transitory computer readable medium, and storage management computing device that obtains an information lifecycle management (ILM) policy. A data protection scheme to be applied at a storage node computing device level is determined and a plurality of storage node computing devices are identified based on an application of the ILM policy to metadata received from one of the storage node computing devices and associated with an object ingested by the one of the storage node computing devices. The one of the storage node computing devices is instructed to generate one or more copies of the object or fragments of the object according to the data protection scheme and to distribute the object copies or one of the object fragments to one or more other of the storage node computing devices to be stored by at least the one or more other storage node computing devices on one or more disk storage devices.