Patent classifications
G06F16/11
Policy enforcement and performance monitoring at sub-LUN granularity
Techniques are provided for enforcing policies at a sub-logical unit number (LUN) granularity, such as at a virtual disk or virtual machine granularity. A block range of a virtual disk of a virtual machine stored within a LUN is identified. A quality of service policy object is assigned to the block range to create a quality of service workload object. A target block range targeted by an operation is identified. A quality of service policy of the quality of service policy object is enforced upon the operation using the quality of service workload object based upon the target block range being within the block range of the virtual disk.
Integrity-preserving cold migration of virtual machines
A method includes identifying a source virtual machine to be migrated from a source domain to a target domain, extracting file-in-use metadata and shared asset metadata from virtual machine metadata of the source virtual machine, and copying one or more files identified in the file-in-use metadata to a target virtual machine in the target domain. For each of one or more shared assets identified in the shared asset metadata, the method further includes (a) determining whether or not the shared asset already exists in the target domain, (b) responsive to the shared asset already existing in the target domain, updating virtual machine metadata of the target virtual machine to specify the shared asset, and (c) responsive to the shared asset not already existing in the target domain, copying the shared asset to the target domain and updating virtual machine metadata of the target virtual machine to specify the shared asset.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT
An information processing apparatus according to one embodiment includes one or more hardware processors coupled to a memory. The one or more hardware processors acquires pieces of target data of different types. The one or more hardware processors generates element information for each element included in the pieces of the target data. The element information indicates the corresponding element. The one or more hardware processors links, with each other, related pieces of the element information and stores the linked pieces of the element information in a storage device.
Outputting map-reduce jobs to an archive file
Method and system are provided for writing output from map-reduce jobs to an archive file. The method may include providing an archive manager and exposing an interface to be called from map-reduce jobs to output to an archive file in a map-reduce distributed file system. The method may also include using a buffering database as a temporary cache to buffer updates to the archive file. Handling by the archive manager calls from map-reduce jobs may allow: reading directly from an archive file or from a job index at the buffering database; writing to a job index at the buffering database used as a temporary cache to buffer updates; and serializing updates from the buffering database to the archive file.
Policy driven data placement and information lifecycle management
A method, apparatus, and system for policy driven data placement and information lifecycle management in a database management system are provided. A user or database application can specify declarative policies that define the movement and transformation of stored database objects. The policies are associated with a database object and may also be inherited. A policy defines, for a database object, an archiving action to be taken, a scope, and a condition before the archiving action is triggered. Archiving actions may include compression, data movement, table clustering, and other actions to place the database object into an appropriate storage tier for a lifecycle phase of the database object. Conditions based on access statistics can be specified at the row level and may use segment or block level heatmaps. Policy evaluation occurs periodically in the background, with actions queued as tasks for a task scheduler.
Multiple data labels within a backup system
Embodiments for a method performing data migration such as backups and restores in a network by identifying characteristics of data in a data saveset to separate the data into defined types based on respective characteristics, assigning a data label to each defined type by receiving user selection or automatically merging or selecting a priority label, from among many labels associated with a file, defining migration rules for each data label, discovering assigned labels during a migration operation; and applying respective migration rules to labeled data in the data saveset. The migration rules can dictate storage location, access rights, replication periods, retention periods, and similar parameters.
Backup system including a data protection area and a read-only volume used by a controller to read a copy of backup data from the data protection area
Provided is a backup system including a storage system and a backup server, in which the backup server includes a ledger for managing a copy number and a backup acquisition date and time for each backup image, a data volume that stores data accessed by a business server, a backup image volume that stores a plurality of backup images at different time points of the data volume, an access volume having a volume ID for accessing the backup image from the backup server, and a data protection area including at least one volume having an internal volume ID instead of the volume ID for accessing from the backup server are configured in the storage system, and the backup image stored in the data protection area and the access volume are associated, and the backup image in the data protection area is provided to the backup server.
Real-time archiving method and system based on hybrid cloud
Provided are a data archiving method and apparatus capable of providing a remote near-line data archiving function by receiving remote function invoking from a target system in which data is stored, providing the target system with a first function for archiving, in a storage system, at least some of the data stored in the target system over a network in response to the remote function invoking, and providing the target system with a second function for the query of the data archived in the storage system over the network.
Longevity management of social network data
In an approach to longevity management of social network data, a computer detects a posting of a social artifact by a first user of a social network. A computer stores the social artifact with associated identification information. A computer stores activity associated with the social artifact by one or more other users. A computer detects a status change in an account associated with the first user, wherein the status change indicates the first user is not active in the social network. In response to detecting the status change, a computer determines a second user from the one or more other users to which to transfer the social artifact based on the social artifact, the associated identification information, and the activity associated with the social artifact by the one or more other users. A computer transfers the social artifact to an account associated with the second user on the social network.
User-defined custom storage classes for hybrid-cloud and multicloud data management
A method includes: receiving, by a computing device, input defining a custom storage class in a first dispersed storage network; receiving, by the computing device, input defining a data management rule in the first dispersed storage network; determining, by the computing device, a data object in the first dispersed storage network satisfies the data management rule; and moving, by the computing device and in response to the determining, the data object to a second dispersed storage network according to the custom storage class.