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    MACHINE LEARNING-BASED DATA OBJECT STORAGE
    13.
    发明申请
    MACHINE LEARNING-BASED DATA OBJECT STORAGE 审中-公开

    公开(公告)号：US20190250839A1

    公开(公告)日：2019-08-15

    申请号：US15896943

    申请日：2018-02-14

    Applicant: Commvault Systems, Inc.

    Inventor： Pavan Kumar Reddy BEDADALA ,  Praveen VEERAMACHANENI

    IPC: G06F3/06 ,  G06F15/18 ,  G06K9/62

    Abstract: An information management system is provided herein that uses machine learning (ML) to predict what data to store in a secondary storage device and/or when to perform the storage. For example, a client computing device can be initially configured to store data in a secondary storage device according to one or more storage policies. A media agent in the information management system can monitor data usage on the client computing device, using the data usage data to train a data storage ML model. The data storage ML model may be trained such that the model predicts what data to store in a secondary storage device and/or when to perform the storage. The client computing device can then be configured to use the trained data storage ML model in place of the storage polic(ies) to determine which data to store in a secondary storage device and/or when to perform the storage.

    ANOMALY DETECTION IN DEDUPLICATION PRUNING OPERATIONS
    16.
    发明申请
    ANOMALY DETECTION IN DEDUPLICATION PRUNING OPERATIONS 有权

    公开(公告)号：US20220215007A1

    公开(公告)日：2022-07-07

    申请号：US17571341

    申请日：2022-01-07

    Applicant: Commvault Systems, Inc.

    Inventor： Pavan Kumar Reddy BEDADALA ,  Marcelo dos Reis MANSANO ,  Rajiv KOTTOMTHARAYIL ,  Anand VIBHOR ,  Bhavyan Bharatkumar MEHTA ,  Mrityunjay UPADHYAY

    IPC: G06F16/215 ,  G06F16/23 ,  G06F11/07

    Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation. Predicting low utilization periods for these and other key resources is useful for scheduling maintenance activities without interfering with ordinary deduplication pruning operations and/or other data protection jobs.

    TARGETED SEARCH OF BACKUP DATA USING CALENDAR EVENT DATA
    17.
    发明申请
    TARGETED SEARCH OF BACKUP DATA USING CALENDAR EVENT DATA 有权

    公开(公告)号：US20220188342A1

    公开(公告)日：2022-06-16

    申请号：US17557555

    申请日：2021-12-21

    Applicant: Commvault Systems, Inc.

    Inventor： Pavan Kumar Reddy BEDADALA

    IPC: G06F16/34 ,  G06F16/23 ,  G06F16/335 ,  G06F16/33 ,  G06F16/58 ,  G06V40/16

    Abstract: This application relates to targeted search of backup data. A data storage system can provide a targeted search of backup data based on events associated with the backup data. Upon receiving a search query that identifies an event stored in an event database, the data storage system can determine an event location and an event time associated with the identified event by accessing the event database and output a search result including a portion of the backup data that is associated with the event location and the event time.

    SECONDARY STORAGE EDITOR
    20.
    发明申请
    SECONDARY STORAGE EDITOR 审中-公开

    公开(公告)号：US20190102094A1

    公开(公告)日：2019-04-04

    申请号：US16192594

    申请日：2018-11-15

    Applicant: Commvault Systems, Inc.

    Inventor： Manas Bhikchand MUTHA ,  Pavan Kumar Reddy BEDADALA ,  Prosenjit SINHA

    IPC: G06F3/06 ,  G06F11/14 ,  G06F12/14

    Abstract: Systems and methods for storage pruning can enable users to delete, edit, or copy backed up data that matches a pattern. Storage pruning can enable fine-grain deletion or copying of these files from backups stored in secondary storage devices. Systems and methods can also enable editing of metadata associated with backups so that when the backups are restored or browsed, the logical edits to the metadata can then be performed physically on the data to create a custom restore or a custom view. A user may perform operations such as renaming, deleting, modifying flags, and modifying retention policies on backed up items. Although the underlying data in the backup may not change, the view of the backup data when the user browses the backup data can appear to include the user's changes. A restore of the data can cause those changes to be performed on the backup data.

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