Abstract: A method for managing backups includes obtaining a plurality of parameters for a data item, filtering the plurality of parameters to obtain a plurality of filtered parameters, evaluating each filtered parameter of the plurality of filtered parameters to obtain a plurality of evaluated parameters, updating a promotion parameter register based on the plurality of evaluated parameters, and processing a backup request using the promotion parameter register, wherein the backup request specifies the data item.

Abstract: A method for managing data includes obtaining, by a backup agent, a migration request, wherein the migration request specifies a plurality of users, and in response to the migration request: identifying a set of source-format data sets in a backup storage system, mounting the set of source-format data sets from the backup storage system, performing data mining on the set of source-format data sets in response to the mounting to obtain a hierarchical structure, generating a cloud-based service user account for each user of the plurality of users, wherein the cloud-based service user accounts are associated with a cloud-based service, obtaining source-format data sets associated with each user of the plurality of users using the hierarchical structure, and initiating a migration of the source-format data sets to the cloud-based service.

Abstract: A method for performing backup operations includes obtaining, by a stream allocator operating in a backup storage system, a plurality of media management entries, wherein a media management entry of the plurality of media management entries specifies a data object, a relative priority, and a maximum number of streams, selecting the media management entry based on the relative priority, allocating a number of backup streams to the data object based on the maximum number of streams, and initiating a transfer of a backup of the data object from the production host to the backup storage system.

Abstract: For restoring data, a system with uninterrupted block-based restore has a hybrid container. The hybrid container has an operational buffer and a virtual container unit. The system receives blocks of data from a target device into the hybrid container and sends the blocks of data from the hybrid container to a destination device for a restore session. The system writes information about the blocks of data into one or more virtual containers. If there is an abort of the restore session, the system freezes state of the hybrid container and the virtual container(s). For a next restore session that resumes from where the aborted restore session stopped, the system resumes receiving blocks of data from the target device into the hybrid container and sends only leftover blocks of data to the destination device in accordance with the information in the virtual container(s).

Abstract: Methods and systems for restoring data from a target device are described. According to some embodiments, the method receives a first set of data packets for restore, where the first set of data packets includes a multiplicity of data chunks. The method further captures footprints of the first set of data packets in a cache disk array. In response to receiving an acknowledgement from the cache disk array indicating the footprints of the first set of data packets have been captured, the method pushes each data chunk of the first set of data packets to a construction container for reconstruction of backup data. In response to receiving an acknowledgement from the construction container indicating the data chunk is successfully pushed, the method flushes the respective footprint of the data chunk from the cache disk array.

Abstract: An apparatus for performing restore operations for data packets by a restore agent is provided. The apparatus predicts a first time period of completing a first restore operation for the data packets and determines a second time period of performing the first restore operation until the first restore operation is stopped at a point of time. The apparatus also identifies an incomplete status of the first restore operation at the point of time based on a comparison between the first time period and the second time period, and collects information describing the incomplete status. The apparatus further starts a second restore operation for the data packets from the incomplete status based on the information.

Abstract: Aspects of the present invention provide an approach for optimizing a presentation of content on a display of a user device for an identified user. Application behavior metrics and user behavior metrics are tracked over time for the particular user based on the applications executing on the user device and the user's interactions with the content presented by each application. Sections of content are assigned a priority based on the collected metrics which identify content sections (i.e., focus areas) most likely relevant to the user. Based on the assigned priorities, content from one or more applications is presented to the user in an optimal manner (e.g., not overlaid or obscured).

Abstract: A method for performing a backup operation includes obtaining a restoration request, and in response to the restoration request: identifying a first set of backups, wherein each backup in the first set of backups is associated with requested data, mounting the first set of backups from the backup storage system, performing data mining on the first set of backups to obtain a hierarchical structure, providing a set of options to a client based on the hierarchical structure, obtaining a selection from the client, wherein the selection is a portion of the set of options, obtaining selected content based on the selection, wherein the selected content is in a source format, converting the selected content from a source format to a target format to obtain target formatted user-specified content, and initiating a transfer of the target-formatted user-specified content to a cloud-based service.

Abstract: Methods and systems for restoring data to a host device are described. According to some embodiments, a hybrid buffer may be used to generate a twin file of each file object to be restored and append the twin file to the corresponding file object. Each file object and its corresponding twin file may be transmitted to a construction container via a restore agent. In the event of an unexpected abort during the first restoration session, the restore agent may preserve the twin file of a file object currently being restored (if one has been created at the time of the abort) and instruct the hybrid buffer to terminate operation. During a subsequent restore session, the restore agent may poll for the preserved twin file and commence the data restore operation from the file object currently being restored using the twin file.

Abstract: Embodiments are described for performing an uninterrupted backup in a storage system responsive to an abort event. A backup agent receives a plurality of file objects to be backed up on a target device during a first backup session. The backup agent initiates a parent interrupt service routine (ISR), which generates a plurality of child ISRs. Each of the plurality of child ISRs monitors a backup state of a corresponding file object. The parent ISR generates a virtual file object queue (VFOQ) to store a current backup state of each of the plurality of file objects. When an abort occurs, the current backup state of each of the plurality of file objects is saved in a respective child ISR of that file object. During a subsequent backup session, backup of the plurality of file objects commences based on the current backup state of each of the plurality of file objects.

Abstract: A method and system for prioritizing critical data object recovery during restore operations. Specifically, the method and system disclosed herein entail reordering data objects, awaiting being read from backup storage and thus queued in one or more data object queues, in accordance with a nearest-critical based sequential order. The nearest-critical based sequential order may be derived through modified weight-based Euclidean distances calculated between adjacent data object pairs queued in any given data object queue. Further, the calculated modified weight-based Euclidean distances incorporate data criticality factors associated with the adjacent data object pairs. By reordering data objects in a nearest-critical based sequential order, critical data objects may be recovered first, thereby avoiding possible critical data loss should a disaster occur during restore operations.

Abstract: A method for performing a backup operation includes obtaining a restoration request, and in response to the restoration request: identifying a first set of backups, wherein each backup in the first set of backups is associated with requested data, mounting the first set of backups from the backup storage system, performing data mining on the first set of backups to obtain a hierarchical structure, providing a set of options to a client based on the hierarchical structure, obtaining a selection from the client, wherein the selection is a portion of the set of options, obtaining selected content based on the selection, wherein the selected content is in a source format, converting the selected content from a source format to a target format to obtain target formatted user-specified content, and initiating a transfer of the target-formatted user-specified content to a cloud-based service.

Abstract: A method for performing a backup operation includes obtaining, by a backup server, a backup request, wherein the backup request specifies a virtual machine to be backed up, wherein the virtual machine is hosted by a production host, and in response to the backup request: obtaining classification data from the backup agent, initiating a backup classification on an unprocessed backup associated with the virtual machine based on the classification data to obtain a sensitivity tag, and initiating a data processing on the unprocessed backup based on the sensitivity tag.

Abstract: A conditional construction container (CCC) provides seamless restore operation during abort event. During normal restore, the CCC assumes a hold state, wherein data blocks are sent from the backup source to the restore host directly. When interrupt occurs, the CCC assumes compression mode, wherein the CCC compresses the data blocks and stores the compressed blocks in memory allocated to the CCC. When the restore operation can resume, the backup agent instructs the CCC to begin data reconstruction operation and the CCC will assume busy mode no longer accepting new data blocks. During the busy state the CCC decompresses the compressed data blocks from the container and reconstruct the original data onto the restore host. Since the container constructed in the memory allocated to the CCC contain data that was obtained upon the interrupt, the restore operation resumes by reconstructing the data from the point of the interrupt seamlessly.

Abstract: Aspects of the present invention provide an approach for optimizing a presentation of content on a display of a user device for n identified user. Application behavior metrics and user behavior metrics are tracked over time for the particular user based on the applications executing on the user device and the users interactions with the content presented by each application. Sections of content are assigned a priority based on the collected metrics which identify content sections (i.e., focus areas) most likely relevant to the user. Based on the assigned priorities, content from one or more applications is presented to the user in an optimal manner (e.g., not overlaid or obscured).

Abstract: Embodiments are described for performing an uninterrupted restore in a storage system in view of one or more abort events. A restore agent receives writes one or more data blocks to a conditional construction container. A parent interrupt service routine (ISR) polls for abort events. In response to an abort event, an intermediate interrupt is generated that spawns a child processes for each process of the restore. The intermediate ISR logs each child ISR, the process it is responsible for, and the intermediate interrupt, for later restoration of the restore state. After a recovery of the above event, then each child ISR can be called to restore its state. After restoring the state, the restore agent resumes the restore from where the abort event was detected. The child ISRs are re-entrant. If another abort event is detected, the restore state can again be saved and later resumed from that state.

Abstract: A method for performing a backup operation includes obtaining a backup request, wherein the backup request specifies a virtual machine (VM) set, and, in response to the backup request: identifying a first set of virtual machines (VMs), wherein the first set of VMs comprises a first portion of the VM set, performing a criticality analysis on the first set of VMs using a machine learning algorithm and a trained machine learning model to obtain an ordered list of critical VMs, performing a non-critical VM prioritization on a second set of VMs using the machine learning algorithm and the trained machine learning model to obtain an ordered list of non-critical VMs, consolidating the ordered list of critical VMs and the ordered list of non-critical VMs to obtain a final list, and initiating a backup of virtual machines using the final list.

Abstract: Methods and systems for backing up data to a target device are described. According to some embodiments, the method receives a first set of data packets for backup, where the first set of data packets includes a multiplicity of data chunks. The method further captures footprints of the first set of data packets in a cache disk array. In response to receiving an acknowledgement from the cache disk array indicating the footprints have been captured, the method further initiates a write operation to write each data chunk of the first set of data packets to the target device. In response to receiving an acknowledgement indicating the data chunk is successfully written, the method further flushes the respective footprint of the data chunk from the cache disk array.

Abstract: In general, embodiments of the invention relate to processing backup jobs. The processing of backup jobs includes ordering a first plurality of jobs in a priority queue, where the first plurality of jobs is associated with a first workflow, ordering a second plurality of jobs in the priority queue, where the second plurality of jobs is associated with a second workflow, where the first workflow is associated with a higher weight than the second workflow, where the first plurality of jobs is scheduled to be serviced before the second plurality of jobs, and initiating servicing of the first plurality of jobs.

Abstract: The present disclosure pertains to a system for providing model-based treatment recommendation via individual-specific machine learning models. In some embodiments, the system (i) obtains an audio recording of an individual, (ii) determines, from the audio recording, one or more utterance-related features of the individual; (iii) performs one or more queries based on the one or more utterance-related features to obtain health information (e.g., utterance-related conditions and treatments provided for the utterance-related conditions) associated with similar individuals having similar utterance-related conditions as the subject; (iv) provides the health information associated with the similar individuals to a machine learning model to train the machine learning model; and (v) provides, subsequent to the training of the machine learning model, the one or more utterance-related features to the machine learning model to determine one or more treatments for the individual.