METHODS FOR DYNAMIC RESOURCE RESERVATION BASED ON CLASSIFIED I/O REQUESTS AND DEVICES THEREOF

    公开(公告)号:US20170344266A1

    公开(公告)日:2017-11-30

    申请号:US15166876

    申请日:2016-05-27

    Applicant: NetApp, Inc.

    CPC classification number: G06F3/0659 G06F3/0613 G06F3/0673

    Abstract: A method, non-transitory computer readable medium, and device that assists with dynamic resource reservation based on classified input/output requests includes receiving an input/output request from a client computing device. The input/output request is classified as a first priority request, wherein the first priority request has priority to a second priority request. A deadline time period to execute the received input/output request classified as the first priority request is determined and the first priority request is added to a first priority queue. The first priority request in the first priority queue is processed by assigning a plurality of reserved resources.

    AUTOMATED APPLICATION DETECTION AND STORAGE SAVINGS BASED ON INTELLIGENT WORKLOAD CHARACTERIZATION

    公开(公告)号:US20240211129A1

    公开(公告)日:2024-06-27

    申请号:US18146230

    申请日:2022-12-23

    Applicant: NetApp, Inc.

    CPC classification number: G06F3/0604 G06F3/0631 G06F3/0673 G06F11/3409

    Abstract: A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a correlation component that, based on performance data, such as current performance data and/or historical performance data, for an application stored at a storage system, correlates a performance category with the application, and an execution component that, based on the performance category correlated to the application, executes a modification at the storage system, wherein the modification at the storage system comprises changing a functioning of the storage system relative to the application. In an embodiment, the data comprised by the application can be maintained in a non-accessed state to execute the modification at the storage system.

    METHODS FOR FACILITATING ADAPTIVE QUALITY OF SERVICE IN STORAGE NETWORKS AND DEVICES THEREOF

    公开(公告)号:US20200036604A1

    公开(公告)日:2020-01-30

    申请号:US16192145

    申请日:2018-11-15

    Applicant: NetApp, Inc.

    Abstract: Methods, non-transitory machine readable media, and computing devices that assign a quality of service (QoS) policy to an instantiated storage object. The assigned QoS policy includes a throughput parameter including a number of input/output (I/O) operations per second (IOPS) based on a storage operation block size. Storage operations are executed with the storage object according to the throughput parameter. Metadata is monitored including a size attribute of the storage object. The QoS policy is then automatically modified to adjust the throughput parameter based on the size attribute. This technology configures, manages, and scales performance provided to storage objects based on a monitored used or allocated size of the storage objects. Accordingly, this technology provides more performance for applications as storage object space is increasingly consumed by the applications, thereby improving the functionality and efficiency of storage nodes or controllers that are executing storage operations and managing I/O in storage networks.

    Automated application detection and storage savings based on intelligent workload characterization

    公开(公告)号:US12147664B2

    公开(公告)日:2024-11-19

    申请号:US18146230

    申请日:2022-12-23

    Applicant: NetApp, Inc.

    Abstract: A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a correlation component that, based on performance data, such as current performance data and/or historical performance data, for an application stored at a storage system, correlates a performance category with the application, and an execution component that, based on the performance category correlated to the application, executes a modification at the storage system, wherein the modification at the storage system comprises changing a functioning of the storage system relative to the application. In an embodiment, the data comprised by the application can be maintained in a non-accessed state to execute the modification at the storage system.

    Methods for facilitating adaptive quality of service in storage networks and devices thereof

    公开(公告)号:US10855556B2

    公开(公告)日:2020-12-01

    申请号:US16192145

    申请日:2018-11-15

    Applicant: NetApp, Inc.

    Abstract: Methods, non-transitory machine readable media, and computing devices that assign a quality of service (QoS) policy to an instantiated storage object. The assigned QoS policy includes a throughput parameter including a number of input/output (I/O) operations per second (IOPS) based on a storage operation block size. Storage operations are executed with the storage object according to the throughput parameter. Metadata is monitored including a size attribute of the storage object. The QoS policy is then automatically modified to adjust the throughput parameter based on the size attribute. This technology configures, manages, and scales performance provided to storage objects based on a monitored used or allocated size of the storage objects. Accordingly, this technology provides more performance for applications as storage object space is increasingly consumed by the applications, thereby improving the functionality and efficiency of storage nodes or controllers that are executing storage operations and managing I/O in storage networks.

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