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    Containerization and serverless thread implementation for processing objects
    1.
    发明授权
    Containerization and serverless thread implementation for processing objects 有权

    公开(公告)号：US12182067B2

    公开(公告)日：2024-12-31

    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.

    Cross-platform replication
    3.
    发明授权
    Cross-platform replication 有权

    公开(公告)号：US11921597B2

    公开(公告)日：2024-03-05

    申请号：US17828900

    申请日：2022-05-31

    Applicant: NetApp Inc.

    Inventor： Atul Ramesh Pandit ,  Vijay M. Deshmukh ,  Michael Lee Federwisch ,  Ling Zheng ,  Kiyoshi James Komatsu ,  Rachita Kothiyal

    IPC: G06F11/00 ,  G06F11/20 ,  H04L67/1095 ,  H04L67/1097

    CPC classification number: G06F11/2069 ,  G06F11/2071 ,  G06F11/2092 ,  H04L67/1095 ,  H04L67/1097 ,  G06F2201/805

    Abstract: One or more techniques and/or computing devices are provided for cross-platform replication. For example, a replication relationship may be established between a first storage endpoint and a second storage endpoint, where at least one of the storage endpoints, such as the first storage endpoint, lacks or has incompatible functionality to perform and manage replication because the storage endpoints have different storage platforms that store data differently, use different control operations and interfaces, etc. Accordingly, replication destination workflow, replication source workflow, and/or a proxy representing the first storage endpoint may be implemented at the second storage endpoint comprising the replication functionality. In this way, replication, such as snapshot replication, may be implemented between the storage endpoints by the second storage endpoint using the replication destination workflow, the replication source workflow, and/or the proxy that either locally executes tasks or routes tasks to the first storage endpoint such as for data access.

    Cross-platform replication
    6.
    发明授权
    Cross-platform replication 有权

    公开(公告)号：US11347605B2

    公开(公告)日：2022-05-31

    申请号：US16805885

    申请日：2020-03-02

    Applicant: NetApp Inc.

    Inventor： Atul Ramesh Pandit ,  Vijay M. Deshmukh ,  Michael Lee Federwisch ,  Ling Zheng ,  Kiyoshi James Komatsu ,  Rachita Kothiyal

    IPC: G06F11/00 ,  G06F11/20 ,  H04L67/1095 ,  H04L67/1097

    Abstract: One or more techniques and/or computing devices are provided for cross-platform replication. For example, a replication relationship may be established between a first storage endpoint and a second storage endpoint, where at least one of the storage endpoints, such as the first storage endpoint, lacks or has incompatible functionality to perform and manage replication because the storage endpoints have different storage platforms that store data differently, use different control operations and interfaces, etc. Accordingly, replication destination workflow, replication source workflow, and/or a proxy representing the first storage endpoint may be implemented at the second storage endpoint comprising the replication functionality. In this way, replication, such as snapshot replication, may be implemented between the storage endpoints by the second storage endpoint using the replication destination workflow, the replication source workflow, and/or the proxy that either locally executes tasks or routes tasks to the first storage endpoint such as for data access.

    ON-DEMAND PARALLEL PROCESSING OF OBJECTS USING DATA CONNECTOR COMPONENTS
    7.
    发明申请
    ON-DEMAND PARALLEL PROCESSING OF OBJECTS USING DATA CONNECTOR COMPONENTS 有权

    公开(公告)号：US20220138169A1

    公开(公告)日：2022-05-05

    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 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/25

    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.

    GRANULAR REPLICATION OF VOLUME SUBSETS
    9.
    发明申请
    GRANULAR REPLICATION OF VOLUME SUBSETS 审中-公开
    粒度重现的体积分数

    公开(公告)号：US20160306840A1

    公开(公告)日：2016-10-20

    申请号：US14689936

    申请日：2015-04-17

    Applicant: NETAPP, INC.

    Inventor： Vijay Mohan Deshmukh ,  Atul Ramesh Pandit ,  Pawan Saxena

    IPC: G06F17/30

    Abstract: Data is replicated on a backup node, where the granularity of the replication can be less than a full volume. A data consistency group comprising a subset of data for a volume is defined for a primary node. A set of differences for the data consistency group is sent to a backup node. The backup node creates change logs in response to receiving the set of differences. In response to receiving a request to access a file having data in the data consistency group, the backup node creates a clone of the file. The backup node determines whether an update to a data block of the file exists in the change logs. In response to determining that the update to the data block exists in the change logs, the backup node updates a copy of the data block for the cloned file with data in the change logs.

    Abstract translation: 数据在备份节点上复制，其中复制的粒度可以小于完整卷。 为主节点定义包括卷的数据子集的数据一致性组。 数据一致性组的一组差异被发送到备份节点。 备份节点创建更改日志以响应接收到一组差异。 响应于接收到访问具有数据一致性组中的数据的文件的请求，备份节点创建该文件的克隆。 备份节点确定在更改日志中是否存在对该文件的数据块的更新。 响应于确定更改日志中存在对数据块的更新，备份节点使用更改日志中的数据更新克隆文件的数据块的副本。

    On-demand parallel processing of objects using data connector components
    10.
    发明授权
    On-demand parallel processing of objects using data connector components 有权

    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.

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