G06F11/1466

Device and a Method for Indexing Snapshots of Multiple File Systems
20220188202 · 2022-06-16 ·

A device is configured to index file system names and paths of a single chain of backed-up snapshots. The device is configured to obtain a first snapshot of the file system. Further, the device is configured to scan the first snapshot of the file system to obtain a first scan of the nodes and the tree structure at a first time point. The device is further configured to insert the first scan into a database. Then the device is configured to index the nodes in the database.

Cascading snapshot creation in a native replication 3-site configuration
11360688 · 2022-06-14 · ·

In one aspect a data replication process in a storage system includes creating, at a first target site, an empty container in a storage system. The empty container matches a container at a source site in response to initiation of an asynchronous data replication process. An aspect also includes transmitting a command to a second target site to create a container at the second target site. The first target site performs the asynchronous data replication process, which includes scanning the data upon receipt from the source site for a first target replication cycle and transmitting the scanned data to the container at the second target site for a second target replication cycle.

Mirroring Data To Survive Storage Device Failures
20220179761 · 2022-06-09 ·

Ensuring resiliency to storage device failures in a storage system, including: determining a number of storage device failures within a particular write group that are to be tolerated by the storage system; for a plurality of datasets stored within the storage system, writing each dataset to at least a predetermined number of storage devices within the particular write group, wherein the predetermined number of storage devices is greater than the number of storage device failures within the particular write group that are to be tolerated by the storage system; and responsive to recovering from a system interruption: determining a number of readable storage devices that contain a copy of the dataset; and if the number of readable storage devices that contain a copy of the dataset is not greater than the number of failures that are to be tolerated, writing the dataset to one or more additional storage devices.

System and method of determining a backup schedule based on data analysis and machine learning

Disclosed herein are systems and method for determining a backup schedule on a computer system. In one exemplary aspect, a method may comprise collecting user behavior data on the computer system and analyzing the user behavior data to determine an optimal time of a backup session to create backup copies of modified data stored on a volume of the computer system. The method may comprise determining an optimal duration of the backup session based on the analyzed user behavior and prioritizing portions of the modified data based on priority rules. The method may comprise determining a prioritized portion of the modified data that can be saved during the backup session based on the duration, computer system hardware and network bandwidth at the optimal time of backup, and performing the backup session comprising the prioritized portion.

Point-in-time snap copy withdrawal management

Withdrawal of a point-in-time snap copy relationship or a portion of such a relationship, is managed in a manner which can obviate disruption of consistency groups due to the withdrawal. If the withdrawal request is directed to a subrange of the original snap copy relationship, the snap copy relationship is split by creating one or more point-in-time snap copy relationships over one or more subranges of tracks of the snap copy source. A determination is made as to whether to delay execution of the withdrawal request to temporarily preserve data of the withdrawal range. Disruptions to completion of consistency groups may be avoided by selectively delaying the withdrawal of a snap copy relationship corresponding to the withdrawal subrange. In so far as the host is involved, a host may treat the withdrawal request as immediately granted without delay. Other aspects may be realized, depending upon the particular application.

Database-driven zero downtime data migration
11347682 · 2022-05-31 · ·

A system and method providing database level migration of an application and associated data. In one embodiment, the method may include deploying a new data structure, a first database trigger to capture data written to an old data structure and to write the captured data to the new data structure, and a bulk migration stored procedure to a database instance; deploying, in response to a conclusion of an execution of the bulk migration stored procedure, a second database trigger to the database instance to capture data written to the new data structure and to write the captured data to the old data structure; deploying a second version of the application; routing validation data to the second version of the application to validate an expected operation thereof; and routing, in response to a completion of the validation, production data for the database instance to the second version of the application.

SYSTEMS AND METHODS TO CONFIRM REPLICATION DATA ACCURACY FOR DATA BACKUP IN DATA STORAGE SYSTEMS

A data storage system, according to certain aspects, automatically determines the accuracy of replication data when performing data backup operations. For instance, the system performs data backup using replication data rather than source data to reduce the processing load on the source system. The backup data is then associated with the source data as if the backup had been performed on the source data. If the replication system fails, then backing up replication data results in backup data that does not accurately reflect the source data. The system automatically determines the accuracy of replication data during data backup.

DATA STORAGE VOLUME RECORD MANAGEMENT FOR APPLICATION-LEVEL RECOVERY

Provided are a computer program product, system and method for data storage volume record management for application-level recovery in accordance with the present description. In one embodiment, logical volume movement is addressed when performing enterprise application recovery. In one embodiment, a host-based recovery product in accordance with the present description, can detect logical volume movement from one physical device to another and proactively prevent application level recovery that potentially may result in data loss. In one embodiment, a time-based capturing of pairings of logical and physical volume identifiers or descriptors within storage configuration records and sub-records are used to surgically recover volumes of an application from enterprise level protection copy of physical media. This history of pairings facilitates many types of logical volume to physical media remapping, such as the regular migration of data to replacement storage controllers which can occur at various times.

Synchronous Replication Of High Throughput Streaming Data
20220155972 · 2022-05-19 · ·

A method for synchronous replication of stream data includes receiving a stream of data blocks for storage at a first storage location associated with a first geographical region and at a second storage location associated with a second geographical region. The method also includes synchronously writing the stream of data blocks to the first storage location and to the second storage location. While synchronously writing the stream of data blocks, the method includes determining an unrecoverable failure at the second storage location. The method also includes determining a failure point in the writing of the stream of data blocks that demarcates data blocks that were successfully written and not successfully written to the second storage location. The method also includes synchronously writing, starting at the failure point, the stream of data blocks to the first storage location and to a third storage location associated with a third geographical region.

Using Mirrored Copies For Data Availability
20230267054 · 2023-08-24 ·

Ensuring resiliency to storage device failures in a storage system, including: determining a number of storage device failures within a particular write group that are to be tolerated by the storage system; for a plurality of datasets stored within the storage system, writing each dataset to at least a predetermined number of storage devices within the particular write group, wherein the predetermined number of storage devices is greater than the number of storage device failures within the particular write group that are to be tolerated by the storage system; and responsive to recovering from a system interruption: determining a number of readable storage devices that contain a copy of the dataset; and if the number of readable storage devices that contain a copy of the dataset is not greater than the number of failures that are to be tolerated, writing the dataset to one or more additional storage devices.