ENHANCED PRIORITIZATION ON DATA PROTECTION ASSETS

    公开(公告)号:US20240248812A1

    公开(公告)日:2024-07-25

    申请号:US18159049

    申请日:2023-01-24

    CPC classification number: G06F11/1469 G06F11/1461 G06F16/285 G06F2201/84

    Abstract: Embodiments for a data protection method of prioritizing data assets for backup operations. A base priority of data assets operated on by the backup system is first determined as defined by certain characteristics, along a defined scale. The process then prioritizes certain data assets using priority tagging, grouping factors, and metadata modifiers to generate an interim net priority. If any assets have the same prioritization value, other asset attributes are used to further prioritize any tied assets. The process then performs a priority response action, such as notifying the user (normally or urgently) based on the asset prioritization. The backup/restore operations are then performed on the data assets in an order based on the final prioritization values.

    PREVENTING UNDESIRED DELETES ON PROTECTION STORAGE USING DELETE RESTRICTION WITH ALERTS FOR EXCESSIVE DELETES

    公开(公告)号:US20240232399A1

    公开(公告)日:2024-07-11

    申请号:US18417444

    申请日:2024-01-19

    CPC classification number: G06F21/62 G06F21/552 G06F2221/2135

    Abstract: Embodiments are described for preventing undesired data deletion on protection storage by using delete restrictions and issuing user alerts if an excessive number of deletions are requested within a period of time. The number of deletions per time period is recorded and stored as hash counts. Deletion of data is delayed until confirmation by the user is received. One or more metrics are computed from the recorded count data and corresponding deleted data sizes. The computed metrics are compared to defined corresponding threshold values, and if any of the metrics exceeds the corresponding threshold value, an alert is sent to the user. The user can then choose to stop or investigate the deletions, or acknowledge the deletions to provide the confirmation.

    NETWORK INFORMED POLICY CREATION
    3.
    发明申请

    公开(公告)号:US20230099626A1

    公开(公告)日:2023-03-30

    申请号:US17490836

    申请日:2021-09-30

    Abstract: Embodiments for optimizing a backup operation for a data protection system, by connecting with network devices in a network implementing the backup operation, the backup operation implementing a policy that specifies a plurality of service requirements and that is initiated at a time within a plurality of time windows, and determining a size of dataset to be backed up by the backup operation. The method further monitors a flow of data between a source and a destination of data in the network, compiles historical data of operational parameters for data transfers between the source and destination, and determines an optimum time within the plurality of time windows based on the dataset size and the historical data.

    Enhanced prioritization on data protection assets

    公开(公告)号:US12056022B1

    公开(公告)日:2024-08-06

    申请号:US18159049

    申请日:2023-01-24

    CPC classification number: G06F11/1469 G06F11/1461 G06F16/285 G06F2201/84

    Abstract: Embodiments for a data protection method of prioritizing data assets for backup operations. A base priority of data assets operated on by the backup system is first determined as defined by certain characteristics, along a defined scale. The process then prioritizes certain data assets using priority tagging, grouping factors, and metadata modifiers to generate an interim net priority. If any assets have the same prioritization value, other asset attributes are used to further prioritize any tied assets. The process then performs a priority response action, such as notifying the user (normally or urgently) based on the asset prioritization. The backup/restore operations are then performed on the data assets in an order based on the final prioritization values.

    SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS

    公开(公告)号:US20240134657A1

    公开(公告)日:2024-04-25

    申请号:US18075773

    申请日:2022-12-06

    CPC classification number: G06F9/44505 G06F11/0793

    Abstract: Embodiments help timely remediation of issues in a data protection system by automatically evaluating scripts configured to address the issues. The system has a bounded list of possible attributes that are deemed important by system administrators. Each attribute is assigned a System Impact Score (SIS) along a defined scale. A self-healing processing component monitors the state of each attribute over time. The scripts are evaluated through repeated execution and use of the attribute monitoring to determine which attributes are affected by a script. Weights are assigned to each attribute affected by a script to aid in the selection of scripts most likely to remediate an actionable issue. Regularly performing script evaluation and attribute weighting allows for updating of scripts with an accurate list of attributes to overcome problems associated with manual updates.

    SELF-HEALING DATA PROTECTION SYSTEM MATCHING SYSTEM ATTRIBUTES TO RELEVANT SCRIPTS USING MULTIPLE SCRIPTS

    公开(公告)号:US20240036982A1

    公开(公告)日:2024-02-01

    申请号:US17971167

    申请日:2022-10-21

    CPC classification number: G06F11/1458 G06F2201/84

    Abstract: Embodiments automate the timely remediation of issues by matching failed operations to a script or set of scripts that is configured to fix the problem. A method detects a backup operation alert message sent from a data manager or storage system that encodes one or more attributes affected by the backup operation, wherein the attributes are weighted to reflect a percentage importance of the a corresponding script to fix the problem. A script library is scanned to identify scripts that match the alert message. A component generates a score for each script, where the score factors the relevance of the script to the backup operation based on the weighted attributes. Scores for each single script each possible combination of multiple scripts are computed and compared, and the script or script combination with the highest score is executed by the self-healing process.

    SELF-HEALING DATA PROTECTION SYSTEM MATCHING SYSTEM ATTRIBUTES IN ALERT MESSAGES TO RELEVANT SCRIPTS

    公开(公告)号:US20240036981A1

    公开(公告)日:2024-02-01

    申请号:US17874868

    申请日:2022-07-27

    CPC classification number: G06F11/1458 G06F11/1453 G06F2201/84

    Abstract: Embodiments automate the timely remediation of issues by matching failed operations to a script that is configured to fix the problem or problems without causing additional side effects, thus minimizing unavailability of services/data and loss of data. A method detects a backup operation alert message sent from a data manager or storage system that encodes one or more attributes affected by the backup operation. A script library is scanned to identify scripts that match the alert message. A component generates a score for each script, where the score factors the relevance of the script to the backup operation, and executes the script with the highest score, as the script most likely to remediate the issue causing the alert message.

    Network informed policy creation using dynamically sized windows

    公开(公告)号:US11645160B2

    公开(公告)日:2023-05-09

    申请号:US17568175

    申请日:2022-01-04

    CPC classification number: G06F11/1448

    Abstract: Optimizing backups for a data protection system by determining a size of a dataset to be saved in each backup operation and an available bandwidth in each transfer window of transfer windows for data transfers between a source and destination. An order of the backup operations is defined based on first ordering the backups based on decreasing dataset size and second ordering the transfer windows in order of decreasing bandwidth, and matching the backups to the transfer windows in accordance with these orderings. A dynamic window sizing process determines an initial change between the minimum and maximum bandwidth utilization over a period of time and then iteratively split and consolidate the time blocks until optimal utilization over the time period is reached.

    NETWORK INFORMED POLICY CREATION USING DYNAMICALLY SIZED WINDOWS

    公开(公告)号:US20230096974A1

    公开(公告)日:2023-03-30

    申请号:US17568175

    申请日:2022-01-04

    Abstract: Optimizing backups for a data protection system by determining a size of a dataset to be saved in each backup operation and an available bandwidth in each transfer window of transfer windows for data transfers between a source and destination. An order of the backup operations is defined based on first ordering the backups based on decreasing dataset size and second ordering the transfer windows in order of decreasing bandwidth, and matching the backups to the transfer windows in accordance with these orderings. A dynamic window sizing process determines an initial change between the minimum and maximum bandwidth utilization over a period of time and then iteratively split and consolidate the time blocks until optimal utilization over the time period is reached.

    MULTI-BACKUP, MULTI-SOURCE NETWORK INFORMED POLICY CREATION

    公开(公告)号:US20230096316A1

    公开(公告)日:2023-03-30

    申请号:US17721681

    申请日:2022-04-15

    Abstract: Optimizing multiple backup operations for multiple sources by discovering shared data routes between sources and targets for backup operations performed in a certain time period. Backups using shared routes use a Best Time Algorithm that determines a size of a dataset to be saved an available bandwidth in each transfer window of the time period, and then determines an order of the backup operations based on first ordering the backups based on decreasing dataset size and second ordering the transfer windows in order of decreasing bandwidth, and matching the backups to the transfer windows in accordance with the first ordering and second ordering. The optimum time represents a time to initiate each backup of the multiple backups that results in a shortest data transfer time over the entire time period.

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