公开(公告)号：US20240403168A1

公开(公告)日：2024-12-05

申请号：US18800181

申请日：2024-08-12

Applicant: NetApp, Inc.

Inventor： Tijin George ,  Sharankumar Yelheri

IPC: G06F11/14 ,  G06F16/11

Abstract: Techniques are provided for a snapshot difference interface integrated into an object store data management container. The snapshot difference interface is capable of interpreting an object format and snapshot file system format of snapshots backed up to an object store within objects formatted according to the object format. The snapshot difference interface can identify differences between snapshots, such as files that changed between the snapshots, while the snapshots are still resident within the object store. Because the snapshot difference interface does not retrieve the snapshots from the object store, security is improved, resource and network consumption is reduced, there is less of an impact upon client I/O processing, and a catalog of the snapshots can be more efficiently built and recovered in the event of corruption.

公开(公告)号：US11880337B2

公开(公告)日：2024-01-23

申请号：US17242448

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George ,  Kiran Nenmeli Srinivasan ,  Jeffrey David Prem

IPC: G06F16/11 ,  G06F11/14

CPC classification number: G06F16/128 ,  G06F11/1448 ,  G06F2201/80 ,  G06F2201/84

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US20220138151A1

公开(公告)日：2022-05-05

申请号：US17242363

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George

IPC: G06F16/11 ,  G06N20/00 ,  G06F16/23

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US12169483B2

公开(公告)日：2024-12-17

申请号：US17242399

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George

IPC: G06F16/21 ,  G06F16/22 ,  G06F16/2457 ,  G06F16/25 ,  G06F16/28

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US12164381B2

公开(公告)日：2024-12-10

申请号：US17155138

申请日：2021-01-22

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Sanhita Praveen Dhavale ,  Atul Ramesh Pandit ,  Ravindra Ramachandraiah Kuramkote ,  Tijin George ,  Kiyoshi James Komatsu

IPC: G06F16/00 ,  G06F9/54 ,  G06F11/14 ,  G06F16/22 ,  G06F16/27

Abstract: Techniques are provided for implementing management requests associated with objects of an object store. A data connector component may be instantiated as a container for processing management requests associated with backup data stored within an object store as an object according to an object format. A management request associated with the backup data may be received by the data connector component. A structure associated with the object having the object format may be traversed by the data connector component to identify the backup data. The data connector component may be implemented upon the backup data stored within the object.

公开(公告)号：US12061525B2

公开(公告)日：2024-08-13

申请号：US18193825

申请日：2023-03-31

Applicant: NetApp Inc.

Inventor： Tijin George ,  Sharankumar Yelheri

IPC: G06F11/14 ,  G06F16/11

CPC classification number: G06F11/1451 ,  G06F11/1469 ,  G06F11/1471 ,  G06F16/125 ,  G06F16/11 ,  G06F16/128 ,  G06F2201/84

Abstract: Techniques are provided for a snapshot difference interface integrated into an object store data management container. The snapshot difference interface is capable of interpreting an object format and snapshot file system format of snapshots backed up to an object store within objects formatted according to the object format. The snapshot difference interface can identify differences between snapshots, such as files that changed between the snapshots, while the snapshots are still resident within the object store. Because the snapshot difference interface does not retrieve the snapshots from the object store, security is improved, resource and network consumption is reduced, there is less of an impact upon client I/O processing, and a catalog of the snapshots can be more efficiently built and recovered in the event of corruption.

公开(公告)号：US20220138207A1

公开(公告)日：2022-05-05

申请号：US17242356

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George

IPC: G06F16/2457 ,  G06F16/28 ,  G06F16/21 ,  G06F11/14 ,  G06F16/22

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US12229148B2

公开(公告)日：2025-02-18

申请号：US18464378

申请日：2023-09-11

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George

IPC: G06F16/00 ,  G06F11/14 ,  G06F16/21 ,  G06F16/22 ,  G06F16/2457 ,  G06F16/28

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US20220138153A1

公开(公告)日：2022-05-05

申请号：US17242448

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George ,  Kiran Nenmeli Srinivasan ,  Jeffrey David Prem

IPC: G06F16/11 ,  G06F11/14

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

公开(公告)号：US20220138152A1

公开(公告)日：2022-05-05

申请号：US17242429

申请日：2021-04-28

Applicant: NetApp Inc.

Inventor： Sharankumar Yelheri ,  Atul Ramesh Pandit ,  Tijin George

IPC: G06F16/11

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.