Abstract: A device for merging backup policies is configured to determine, if a first backup policy comprising a first set of rules, and a second backup policy comprising a second set of rules, are assigned to a backup object. The device is further configured to, when the first backup policy and the second backup policy are assigned to the backup object, generate a merged backup policy comprising a merged set of rules, based on the first backup policy and the second backup policy. A resource consumption of a backup created according to the merged backup policy is below a predefined threshold.

Abstract: A block storage device, for data compression is configured to, in a first operating phase, if it is determined, by the block storage device, that a data block is to be written to a large block storage area of the block storage device, determine if the data block can be de-duplicated. If the data block cannot be de-duplicated, the block storage device stores the data block using large block compression.

Abstract: A data manager includes persistent storage and a data register. The persistent storage stores an identity chain and a data availability chain. The data register obtains data associated with an entity registered with the identity chain using a public key associated with the entity; obtains an object identifier associated with the data by storing the data in a data storage as a record; and records, on the data availability chain, both of: the record using a private key associated with the entity, and the object identifier.

Abstract: A data protection system configured to backup a time series database is provided. The data protection system may be integrated with or have access to consolidation policies of the time series database. The backup policy and backup retention policy are set by monitoring the consolidation policy and adjusting the backup policy to ensure that the data in the time series database is protected prior to being downscaled, discarded or otherwise consolidated.

Abstract: Managing backup copies in a right to delete personal data environment is described. A system creates a revised backup copy by deleting any data that a deletion request ledger specifies for deletion from a backup copy that was created for a data object. The system associates an updating time with the revised backup copy. The system retrieves the revised backup copy in response to receiving a restoration request corresponding to the revised backup copy. The system enables restoration of the data object by deleting any data i) that the deletion request ledger specifies for deletion from the revised backup copy and ii) that is associated with a deletion request time which is subsequent to the updating time.

Abstract: A method for backing up data item stored in host device, includes activating backup agent in host file system of host device, the host file system including data item to be backed up. The method includes using the activated backup agent for detecting one or more first operations executing one or more changes in the host file system, for detecting the one or more first changes in the host file system executed by the one or more first operations, and for generating a first data backup instruction based on the detected one or more first operations and on the detected one or more first changes. The method further includes providing one or more operation algorithms to a backup system; and providing the generated first data backup instruction to the backup system configured for delayed backup computation of the one or more data items to be backed up.

Abstract: In a multi-cloud computing environment comprising a plurality of cloud platforms with each cloud platform comprising one or more nodes, a method maintains a decentralized metadata database framework, wherein each node comprises a decentralized metadata database component operatively coupled to each other decentralized metadata database component of the framework and wherein each of at least two of the decentralized metadata database components stores a set of metadata records corresponding to protected data stored across the plurality of cloud platforms. Further, the method manages one or more access requests directed to the protected data through one or more of the decentralized metadata database components of the framework.

Abstract: One example method includes discovering an application topology, discovering relationships between microservices that are elements of the application topology, ranking the microservices, identifying one or more of the microservices as a persistency microservice, selecting one or more persistency microservices for backup, and defining a backup policy based on the microservice relationships, the microservice rankings, and the selected persistent microservices. A backup operation is then performed that includes backing up persistent data and/or persistent metadata generated and/or modified by one or more of the persistency microservices.

Abstract: One example method includes receiving an IO request that specifies an operation to be performed concerning a data block, determining if a policy exists for a device that made the IO request, when a policy is determined to exist for the device, comparing the IO request to the policy, recording the IO request, and passing the IO request to a disk driver regardless of whether the IO request is determined to violate the policy or not.

Abstract: One example method includes performing a machine learning process that involves performing an assessment of a state of a computing system, and the assessment includes analyzing information generated by an IoT edge sensor in response to a sensed physical condition in the computing system, and identifying an entity in the computing system potentially impacted by an event associated with the physical condition.

Abstract: A system and method for differential compression are disclosed. In the disclosure, input data blocks selected for compression are received. For each input data block: the input data block is divided into at least two segments. For each of the at least two segments, a similarity degree between the respective segment and each of the data blocks excluding the respective data block is computed. For each of the at least two segments, the data block which has a biggest similarity degree with the respective segment among the data blocks excluding the respective data block is selected as an optimal reference data block for the respective segment. The differential compression is applied to the input data block and optimal reference blocks in response to determine a differential compression is to be applied based on the similarity degree between the segments of the input data block and the corresponding optimal reference blocks.

Abstract: One example method includes receiving input concerning a boot order sequence, where the input includes VM metadata, entering a training phase which includes generating a boot sequence rule based on the input, using the boot sequence rule to generate a proposed boot sequence, performing the proposed boot sequence, and gathering information concerning performance of the proposed boot sequence. The gathered information can be used as a basis to generate a modified boot sequence.

Abstract: One example method includes receiving data segments that are not already part of a full disk image of a backup, storing the data segments in storage, determining whether or not an aggregate total of data segments in the storage, that are not already part of a full disk image of a backup, equals or exceeds a threshold, when the aggregate total of data segments in the storage equals or exceeds the threshold, creating a full disk image of a backup that includes the data segments in storage, and storing the created full disk image of the backup to a recovery disk.

Abstract: Systems and methods for providing data protection operations including cyber-threat protection operations. A sentiment analysis may be performed using language analysis to identify or determine a general or specific sentiment with or without intent to do harm. A score of the sentiment is then determined to assess risk. The data backup policy can be updated based on the assessed risk.

Abstract: A backup entity and a method for backing up a disk volume of a production device are provided. The backup entity is configured to: create a first backup image of the disk volume, in a backup repository. Further, the backup entity is configured to obtain a first indication from the production device, wherein the first indication is indicative of a first operation to be performed by the production device on the disk volume. The backup entity is further configured to perform the first operation on the first backup image, to obtain a second backup image in the backup repository. According to the application, a solution to mimic an operation that changes data of a production storage, in a backup system, is provided, which can reduce the amount of data sent from the production storage to the backup system and thus reduce a backup window.

Abstract: A data protection system configured to backup a time series database is provided. The data protection system may be integrated with or have access to consolidation policies of the time series database. The backup policy and backup retention policy are set by monitoring the consolidation policy and adjusting the backup policy to ensure that the data in the time series database is protected prior to being downscaled, discarded or otherwise consolidated.

Abstract: Embodiments of a compliance service that will enable users be compliant with all regulatory, industry processes and business needs at all times. The service is available to storage and data protection systems through a set of APIs that will enable such compliance be achieved and maintained with no user intervention and without labor-intensive manual work. The service will also allow storing the configuration of the data protection policies and create alerts when compliance changes. A data backup platform may include a data protection system that integrates with such a service and provides full regulatory/industry compliance.

Abstract: A method and system for securely replicating encrypted deduplicated storages. Specifically, the method and system disclosed herein entail the replication and migration of encrypted data between storage systems that support deduplication. More specifically, a first encrypted data, which may have been encrypted using a first public cryptographic key and consolidated on a source storage system, may be translated into an interim (yet still encrypted) state using a first split private cryptographic key. Thereafter, using a compound conversion key, the interim state data may be further translated into a second encrypted data, which may be characterized as being encrypted by a second public cryptographic key. Therefore, substantively, the method and system disclosed herein may be directed to the translation of encrypted data from one encryption scheme to another while in-flight from a source storage system to a target storage system.

Abstract: A method for provided use in a storage device having a controller, the method comprising: identifying, by the controller, a plurality of logical regions in the storage device; obtaining, by the controller, a respective usage metric for each of the logical regions; updating, by the controller, a translation data structure of the storage device, the translation data structure being updated to map any of the logical regions of the storage device to a respective physical portion of the storage device, the respective physical portion being selected based on the respective usage metric of the logical region, wherein the translation data structure is part of a flash translation layer of the storage device, and the translation data structure is configured to store mapping information between a logical address space of the storage device and a physical address space of the storage device.

Abstract: A method and system for enabling agentless backup and restore operations on a container orchestration platform. Specifically, the method and system disclosed herein may entail facilitating the implementation of backup (or restore) workloads in a containerized environment without the co-execution of secondary storage agents therein, which traditionally manage these backup (or restore) operations.