公开(公告)号：US20190250998A1

公开(公告)日：2019-08-15

申请号：US15897021

申请日：2018-02-14

Applicant: Commvault Systems, Inc.

Inventor： Pavan Kumar Reddy BEDADALA ,  Praveen VEERAMACHANENI

IPC: G06F11/14 ,  G06F15/18

CPC classification number: G06F11/1469 ,  G06F11/1453 ,  G06F11/1464 ,  G06N20/00

Abstract: An information management system is provided herein that uses machine learning to predict what data to recall from a secondary storage device and/or when to perform the recall. For example, a media agent in the information management system can generate and store context information when data recall requests are received from a client computing device, using the context information to train a recall machine learning model. The recall machine learning model may be trained such that the model predicts what data to recall and/or when to perform the recall. The media agent and/or the client computing device can then be configured to use the trained recall machine learning model to determine which data to recall and/or when to perform the recall.

公开(公告)号：US20200272347A1

公开(公告)日：2020-08-27

申请号：US16776292

申请日：2020-01-29

Applicant: Commvault Systems, Inc.

Inventor： Pavan Kumar Reddy BEDADALA ,  Praveen VEERAMACHANENI

IPC: G06F3/06 ,  G06K9/62 ,  G06N20/00

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.

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.

公开(公告)号：US20220179986A1

公开(公告)日：2022-06-09

申请号：US17530990

申请日：2021-11-19

Applicant: Commvault Systems, Inc.

Inventor： Praveen VEERAMACHANENI ,  Tanmay GARG

IPC: G06F21/62

Abstract: Provided herein are methods for remotely managing user permissions through computing device comprising an index server in communication with a user interface executing on a second computing device and file server(s) comprising data objects wherein the file server is a third computing device different from the first and second computing devices. The index server comprises data structures containing information on user permission access to data objects that are stored on the index server. The index server communicates with the user interface to receive instructions for changes to user permission access levels and accesses its data structures and/or change logs to respond to such communications. The index server also communicates with the file server to execute the changes to the user permission access level for a user associated with a data object at the local level.

公开(公告)号：US20220179985A1

公开(公告)日：2022-06-09

申请号：US17530930

申请日：2021-11-19

Applicant: Commvault Systems, Inc.

Inventor： Praveen VEERAMACHANENI ,  Tanmay GARG

IPC: G06F21/62

Abstract: Provided herein is a system for managing user entitlements to files and folders in a file server. The system is comprised of an entitlement manager UI system comprising an entitlement manager user interface (UI), an index server, and a file server. The entitlement manager UI is comprised of a permission pane that presents user permission access levels corresponding to a user associated with a file or folder, a permission activity log pane that presents audit trails of user permission changes wherein each audit trail comprises options to reverse the permission change, and a file activity pane presenting the activity levels of users having access to a file or folder. The entitlement manager UI further comprises a filter option wherein the user permission access levels for data objects stored in file servers that are in communication with the index server are controlled through the entitlement manager UI.