Abstract: Embodiments of a system and method for migrating data from a first cloud network provided from a first cloud service provider (CSP) and a second cloud network provided by a second CSP. The method reads and packs only live data containers from the first cloud using a Garbage Collection (GC) process. It performs a collection replication process replicating a local container set (CSET) from the first cloud network to the second cloud network, and replicates data containers from the first cloud network to the second cloud network. It then uses a container manager process to write data containers on the second cloud network.

Abstract: Embodiments for balancing cloud resource capacity for cross-node movement of files in a scaled out backup system, and for dynamically allocating cloud storage resources in a multi-node network having a file system. A process determines a destination node with dedicated cloud storage capable of storing a file selected for long term retention. It transfers the file to the cloud storage of the destination node while maintaining metadata of the file in the cloud tier local storage of the destination node, such as by using remote procedure calls between the destination and source nodes. It then updates a global namespace of the file system with a handle indicating a current location of the file as the cloud storage of the destination file, thus allowing access to the file through the metadata stored in the local storage of the source node.

Abstract: Embodiments of a system and method for migrating data from a first cloud network provided from a first cloud service provider (CSP) and a second cloud network provided by a second CSP. The method reads and packs only live data containers from the first cloud using a Garbage Collection (GC) process. It performs a collection replication process replicating a local container set (CSET) from the first cloud network to the second cloud network, and replicates data containers from the first cloud network to the second cloud network. It then uses a container manager process to write data containers on the second cloud network.

Abstract: Embodiments of an instant recall process and system for long-term data stored on a cloud storage tier. Embodiments include saving a content handle of a file in a cloud storage tier as an extended attribute in a single file system namespace; moving the file from the cloud storage tier to an active storage tier for data processing; recalling the file from the active storage tier to the cloud storage tier upon completion of the data processing; using the content handle from hidden metadata for a working copy of the file; and saving a hash of a segment reference as part of the extended attribute.

Abstract: Embodiments for balancing cloud resource capacity for cross-node movement of files in a scaled out backup system, and for dynamically allocating cloud storage resources in a multi-node network having a file system. A process determines a destination node with dedicated cloud storage capable of storing a file selected for long term retention. It transfers the file to the cloud storage of the destination node while maintaining metadata of the file in the cloud tier local storage of the destination node, such as by using remote procedure calls between the destination and source nodes. It then updates a global namespace of the file system with a handle indicating a current location of the file as the cloud storage of the destination file, thus allowing access to the file through the metadata stored in the local storage of the source node.

Abstract: Embodiments are described for performing a storage tier-specific file system operation in a file system that comprises a namespace that spans multiple tiers of storage. A file system command can be a tier-specific deletion of files in a multi-tier file system, or a move data operation from a first tier of storage to a second tier of storage, affecting both the first and second tier of storage. The file system command can generate a copy of the namespace for the first tier of storage and a snapshot of the data of the first tier of storage referenced in the file system operation. Functionality may be performed using one or more storage appliances, each of which can have its open processing system, memory and storage device(s). Storage tiers can include active tier, cloud tier, and remote or archive storage tier.

Abstract: Embodiments of an instant recall process and system for long-term data stored on a cloud storage tier. Embodiments include saving a content handle of a file in a cloud storage tier as an extended attribute in a single file system namespace; moving the file from the cloud storage tier to an active storage tier for data processing; recalling the file from the active storage tier to the cloud storage tier upon completion of the data processing; using the content handle from hidden metadata for a working copy of the file; and saving a hash of a segment reference as part of the extended attribute.