Machine learning based assignment of service levels in a networked storage system

    公开(公告)号:US12192281B2

    公开(公告)日:2025-01-07

    申请号:US18367055

    申请日:2023-09-12

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for a networked storage system is provided. One method includes transforming by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point in a parametric space; generating by the processor, a plurality of bins in the parametric space using the transformed performance parameters; adjusting by the processor, bin boundaries for the plurality of bins for defining a plurality of service levels for the storage system based on the performance parameters; and using the defined plurality of service levels for operating the storage system.

    Methods and Systems for Securely Storing Unstructured Data in a Storage System

    公开(公告)号:US20230066617A1

    公开(公告)日:2023-03-02

    申请号:US17980446

    申请日:2022-11-03

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for securing unstructured data are provided. One method includes generating, by a processor, a schema from unstructured data, the schema including one or more relationships between named entities of the unstructured data; identifying, by the processor, a plurality of semantic relationships between the named entities; determining, by the processor, a sensitive relationship from the plurality of semantic relationships; and anonymizing, by the processor, sensitive data associated with the sensitive relationship by replacing, a first portion of the sensitive data with generalized information.

    Methods and systems for document classification using machine learning

    公开(公告)号:US10970595B2

    公开(公告)日:2021-04-06

    申请号:US16281501

    申请日:2019-02-21

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for document classification are provided. One method includes generating by a processor, a plurality of topics using content of a plurality of electronic documents, where each topic includes a plurality of words associated with the plurality of electronic documents; reducing by the processor, the plurality of topics to a subset of topics to represent the plurality of electronic documents based on a parameter indicating a property of each subset topic and separation between the subset topics; automatically generating by the processor, a tag for each subset topic, based on the tag's position within the subset topic; wherein each tag is an attribute of each subset topic; storing by the processor, the subset of topics with corresponding tags in a model data structure; and updating the model data structure by the processor based on one of a new topic and a new tag associated with an electronic document.

    DETECTION OF ANOMALIES IN COMMUNITIES BASED ON ACCESS PATTERNS BY USERS

    公开(公告)号:US20200236123A1

    公开(公告)日:2020-07-23

    申请号:US16297513

    申请日:2019-03-08

    Applicant: NETAPP, INC.

    Abstract: A system, method, and machine-readable storage medium for detecting an anomaly are provided. In some embodiments, the method includes computing an access rate of a set of entities for each user of a plurality of users. The access rate may refer to data operations for the set of entities stored by a storage system. The method also includes normalizing the access rates for a subset of the plurality of users, the subset belonging to a community. The method further includes determining whether a normalized access rate from among the access rates satisfies a threshold. The method also includes detecting an anomaly in response to a determination that the normalized access rate satisfies the threshold.

    Workload identification
    27.
    发明授权

    公开(公告)号:US10534805B2

    公开(公告)日:2020-01-14

    申请号:US13781619

    申请日:2013-02-28

    Applicant: NetApp, Inc.

    Abstract: An embodiment of the invention provides an apparatus and method for classifying a workload of a computing entity. In an embodiment, the computing entity samples a plurality of values for a plurality of parameters of the workload. Based on the plurality of values of each parameter, the computing entity determines a parameter from the plurality of parameters that the computing entity's response time is dependent on. Here, the computing entity's response time is indicative of a time required by the computing entity to respond to a service request from the workload. Further, based on the identified significant parameter, the computing entity classifies the workload of the computing entity by selecting a workload classification from a plurality of predefined workload classifications.

    Methods for provisioning workloads in a storage system using machine learning and devices thereof

    公开(公告)号:US09864749B2

    公开(公告)日:2018-01-09

    申请号:US14317963

    申请日:2014-06-27

    Applicant: NetApp, Inc.

    CPC classification number: G06F17/3007

    Abstract: A method, non-transitory computer readable medium, and provisioning advisor device that obtains an intensity and characteristics for each of a plurality of training workloads from storage device volumes. For each of the training workloads, at least first and second training workload parameters are generated, based on the training workload intensity, and an associated training workload signature is generated, based on the training workload characteristics. The first and second training workload parameters and associated training workload signatures are stored in a mapping table. A signature and an intensity for a query workload are obtained. First and second query workload parameters are determined based on a correlation of the query workload signature with the training workload signatures of the mapping table. An estimated latency for the query workload is determined, based on the first and second query workload parameters and the query workload intensity, and the estimated query workload latency is output.

    Selective deduplication
    29.
    发明授权

    公开(公告)号:US09753938B2

    公开(公告)日:2017-09-05

    申请号:US15162496

    申请日:2016-05-23

    Applicant: NetApp Inc.

    Abstract: Methods and apparatuses for performing selective deduplication in a storage system are introduced herein. Techniques are provided for determining deduplication priorities of data objects based upon projected likelihoods that deduplication of such data objects will provide a storage space benefit. Inline deduplication and/or post processing deduplication is selectively provided on an individual data object basis based upon deduplication priorities assigned to respective data objects.

    Graphical representation of classification of workloads
    30.
    发明授权
    Graphical representation of classification of workloads 有权
    工作负载分类的图形表示

    公开(公告)号:US09276821B2

    公开(公告)日:2016-03-01

    申请号:US13945797

    申请日:2013-07-18

    Applicant: NetApp, Inc.

    Inventor: Jayanta Basak

    CPC classification number: H04L41/22 H04L41/142 H04L43/045

    Abstract: Technology is disclosed for graphically representing classification of workloads in a storage system. Workload classification is graphically represented to the user by mapping workload signatures of the workloads to a grid. When the workload signatures are mapped to the grid, a number of clusters are formed in the grid. Each of the clusters represents workloads of a particular category. Mapping the workload signature to the grid includes mapping a high-dimensionality workload signature vector to a low-dimensionality grid.

    Abstract translation: 公开了用于图形地表示存储系统中的工作负载分类的技术。 工作负载分类通过将工作负载的工作负载签名映射到网格而以图形方式表示给用户。 当工作负载签名映射到网格时,网格中将形成多个簇。 每个集群表示特定类别的工作负载。 将工作负载签名映射到网格包括将高维度工作负载签名向量映射到低维度网格。

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