Selective deduplication
    11.
    发明授权
    Selective deduplication 有权
    选择性重复数据删除

    公开(公告)号:US09348538B2

    公开(公告)日:2016-05-24

    申请号:US13655263

    申请日:2012-10-18

    Applicant: NetApp, Inc.

    Abstract: Methods and apparatuses for performing selective deduplication in a storage system are introduced here. Techniques are provided for determining a probability of deduplication for a data object based on a characteristic of the data object and performing a deduplication operation on the data object in the storage system prior to the data object being stored in persistent storage of the storage system if the probability of deduplication for the data object has a specified relationship to a specified threshold.

    Abstract translation: 这里介绍用于在存储系统中执行选择性重复数据消除的方法和装置。 提供技术用于基于数据对象的特性来确定数据对象的重复数据删除的概率,并且在数据对象被存储在存储系统的持久存储器中之前对存储系统中的数据对象执行重复数据删除操作,如果 数据对象的重复数据删除概率与指定的阈值有特定的关系。

    WORKLOAD IDENTIFICATION
    12.
    发明申请
    WORKLOAD IDENTIFICATION 审中-公开
    工作标识

    公开(公告)号:US20140244643A1

    公开(公告)日:2014-08-28

    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.

    Abstract translation: 本发明的实施例提供了一种用于对计算实体的工作负载进行分类的装置和方法。 在一个实施例中,计算实体针对工作负载的多个参数对多个值进行采样。 基于每个参数的多个值,计算实体根据计算实体的响应时间依赖于多个参数确定参数。 这里,计算实体的响应时间表示计算实体响应来自工作负载的服务请求所需的时间。 此外,基于所识别的重要参数,计算实体通过从多个预定义的工作负载分类中选择工作负载分类来对计算实体的工作负载进行分类。

    Methods and systems for securely storing unstructured data in a storage system

    公开(公告)号:US12045374B2

    公开(公告)日:2024-07-23

    申请号:US17980446

    申请日:2022-11-03

    Applicant: NETAPP, INC.

    CPC classification number: G06F21/6254

    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.

    Systems and methods for detecting malware attacks

    公开(公告)号:US11792223B2

    公开(公告)日:2023-10-17

    申请号:US17062732

    申请日:2020-10-05

    Applicant: NetApp, Inc.

    CPC classification number: H04L63/145 G06F21/602 H04L63/1416

    Abstract: A method, a computing device, and a non-transitory machine-readable medium for detecting malware attacks. In one example, an agent implemented in an operating system detects an overwrite in which an original data component is overwritten with a new data component. The agent computes a plurality of features associated with the overwrite, the plurality of features including an original entropy corresponding to the original data component, a new entropy corresponding to the new data component, an overwrite fraction, and a set of divergence features. The agent determines whether the new data component is encrypted using the plurality of features.

    METHODS AND SYSTEMS FOR SECURELY STORING UNSTRUCTURED DATA IN A STORAGE SYSTEM

    公开(公告)号:US20220188454A1

    公开(公告)日:2022-06-16

    申请号:US17122892

    申请日:2020-12-15

    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.

    SELECTIVE DEDUPLICATION
    16.
    发明申请

    公开(公告)号:US20220171741A1

    公开(公告)日:2022-06-02

    申请号:US17520746

    申请日:2021-11-08

    Applicant: NetApp Inc.

    Abstract: Methods and apparatuses for performing selective deduplication in a storage system are introduced here. Techniques are provided for determining a probability of deduplication for a data object based on a characteristic of the data object and performing a deduplication operation on the data object in the storage system prior to the data object being stored in persistent storage of the storage system if the probability of deduplication for the data object has a specified relationship to a specified threshold.

    Selective deduplication
    17.
    发明授权

    公开(公告)号:US10565165B2

    公开(公告)日:2020-02-18

    申请号:US15693685

    申请日:2017-09-01

    Applicant: NetApp Inc.

    Abstract: Methods and apparatuses for performing selective deduplication in a storage system are introduced herein. Techniques are provided for determining a first deduplication priority for a first data object based upon a first projected likelihood that deduplication of the first data object will provide a storage space benefit to reduce storage consumption of a storage device. Inline deduplication is performed for the first data object based upon the first deduplication priority exceeding a deduplication probability threshold that is indicative of inline deduplication of the first data object having a threshold likelihood of achieving the storage space benefit from inline deduplication.

    MACHINE LEARNING BASED ASSIGNMENT OF SERVICE LEVELS IN A NETWORKED STORAGE SYSTEM

    公开(公告)号:US20190394273A1

    公开(公告)日:2019-12-26

    申请号:US16193347

    申请日:2018-11-16

    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.

    WORKLOAD IDENTIFICATION
    19.
    发明申请

    公开(公告)号:US20180018339A1

    公开(公告)日:2018-01-18

    申请号:US15715952

    申请日:2017-09-26

    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.

    PROVISIONING ADVISOR
    20.
    发明申请
    PROVISIONING ADVISOR 有权
    提供顾问

    公开(公告)号:US20160349992A1

    公开(公告)日:2016-12-01

    申请号:US14724744

    申请日:2015-05-28

    Applicant: NetApp, Inc.

    CPC classification number: G06F3/061 G06F3/0605 G06F3/0647 G06F3/0653 G06F3/067

    Abstract: A method and system for a provisioning advisor are described which estimates the input/output operation performance of a workload on a storage system. A regression module in a provisioning advisor estimates a maximum IOPS on the storage system for buckets, or combinations of values, for various characteristics of the workloads running on the system by modeling a relationship between the workload characteristics and performance metrics gathered from the storage system. A performance module can use the estimated maximum IOPS for each bucket to update a set of working tables for the provisioning advisor, which can then be used to predict the input/output performance of a new workload to be provisioned on the storage system.

    Abstract translation: 描述了用于供应顾问的方法和系统,其估计存储系统上的工作负载的输入/输出操作性能。 供应顾问中的回归模块通过对工作负载特性与从存储系统收集的性能指标之间的关系进行建模,估计存储系统上桶的最大IOPS或值组合,以满足系统上运行的工作负载的各种特性。 性能模块可以使用每个桶的估计的最大IOPS来更新供应顾问的一组工作表,然后可以将其用于预测要在存储系统上配置的新工作负载的输入/输出性能。

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