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    Methods for dynamic throttling to satisfy minimum throughput service level objectives and devices thereof
    84.
    发明授权
    Methods for dynamic throttling to satisfy minimum throughput service level objectives and devices thereof 有权

    公开(公告)号：US11829803B2

    公开(公告)日：2023-11-28

    申请号：US17715569

    申请日：2022-04-07

    Applicant: NetApp, Inc.

    Inventor： Ranjit Nandagopal ,  Yasutaka Hirasawa ,  Chandan Hoode

    IPC: G06F9/50 ,  G06F9/48

    CPC classification number: G06F9/5083 ,  G06F9/4881 ,  G06F9/4887 ,  G06F2209/5022

    Abstract: Methods, non-transitory machine readable media, and computing devices that dynamically throttle non-priority workloads to satisfy minimum throughput service level objectives (SLOs) are disclosed. With this technology, a determination is made when a number of detection intervals with a violation within a detection window exceeds a threshold, when a current one of the detection intervals is outside an observation area. The detection intervals are identified a violated based on an average throughput for priority workloads within the detection intervals exceeding a minimum throughput SLO. A throttle is then set to rate-limit non-priority workloads, when the number of violated detection intervals within the detection window exceeds the threshold. Advantageously, throughput for priority workloads is more effectively managed and utilized with this technology such that throttling oscillations are reduced, throttling is not deployed in conditions in which it would not improve throughput, and throttling is minimally deployed to maximize throughput.

    OBJECT STORE DATA MANAGEMENT CONTAINER WITH INTEGRATED SNAPSHOT DIFFERENCE INTERFACE FOR COMPLIANCE SCANS
    87.
    发明公开
    OBJECT STORE DATA MANAGEMENT CONTAINER WITH INTEGRATED SNAPSHOT DIFFERENCE INTERFACE FOR COMPLIANCE SCANS 审中-公开

    公开(公告)号：US20230359585A1

    公开(公告)日：2023-11-09

    申请号：US18193838

    申请日：2023-03-31

    Applicant: NetApp Inc.

    Inventor： Tijin George ,  Sharankumar Yelheri

    IPC: G06F16/11 ,  G06F11/14

    CPC classification number: G06F16/125 ,  G06F11/1451 ,  G06F11/1469 ,  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, and there is less of an impact upon client I/O processing. Also, a compliance scan for the snapshots can be performed much quicker by skipping already scanned snapshot data from a prior compliance scan.

    System and Method for Infrastructure Scaling
    88.
    发明公开
    System and Method for Infrastructure Scaling 审中-公开

    公开(公告)号：US20230359493A1

    公开(公告)日：2023-11-09

    申请号：US18314971

    申请日：2023-05-10

    Applicant: NetApp, Inc.

    Inventor： Tal ZUR ,  Ori YEMINI

    IPC: G06F9/50

    CPC classification number: G06F9/5011 ,  G06F2209/5019

    Abstract: A method, system and computer program product, the method comprising: determining properties of a set of containers that are deployed over a computer infrastructure, wherein the computer infrastructure is provisioned via an infrastructure management service; determining properties of one or more headroom containers, wherein the one or more headroom containers are not deployed over the computer infrastructure; simulating the container orchestrator using the properties of the set of container and the properties of the headroom containers, for obtaining an expected deployment of the set of containers together with the one or more headroom containers; based on the expected deployment, determining whether the computer infrastructure is sufficient for deploying the set of containers together with the one or more headroom containers; and subject to the computer infrastructure being insufficient, issuing a request to the infrastructure management service to allocate additional computer infrastructure.

    Granular replication of volume subsets
    89.
    发明授权
    Granular replication of volume subsets 有权

    公开(公告)号：US11809402B2

    公开(公告)日：2023-11-07

    申请号：US17892179

    申请日：2022-08-22

    Applicant: NetApp Inc.

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

    IPC: G06F16/23 ,  G06F16/27 ,  G06F16/245

    CPC classification number: G06F16/2358 ,  G06F16/245 ,  G06F16/27

    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.

    IN-MEMORY HASH ENTRIES AND HASHES USED TO IMPROVE KEY SEARCH OPERATIONS FOR KEYS OF A KEY VALUE STORE
    90.
    发明公开
    IN-MEMORY HASH ENTRIES AND HASHES USED TO IMPROVE KEY SEARCH OPERATIONS FOR KEYS OF A KEY VALUE STORE 审中-公开

    公开(公告)号：US20230350810A1

    公开(公告)日：2023-11-02

    申请号：US17732098

    申请日：2022-04-28

    Applicant: NetApp Inc.

    Inventor： Anil Paul Thoppil ,  Wei Sun ,  Meera Odugoudar ,  Szu-Wen Kuo ,  Santhosh Selvaraj

    IPC: G06F12/1018

    CPC classification number: G06F12/1018

    Abstract: Techniques are provided for implementing a hash building process and an append hash building process. The hash building process builds in-memory hash entries for bins of keys stored within sorted logs of a log structured merge tree used to store keys of a key-value store. The in-memory hash entries can be used to identify the starting locations of bins of keys within the log structured merge tree so that a key within a bin can be searched for from the starting location of the bin as opposed to having to search the entire log structured merge tree. The append hash building process builds two hashes that can be used to more efficiently locate keys and/or ranges of keys within an unsorted append log that would otherwise require a time consuming binary search of the entire append log.

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