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    • 1. 发明申请
    • STORAGE MANAGEMENT THROUGH ADAPTIVE DEDUPLICATION
    • 存储管理通过自适应校验
    • US20100250501A1
    • 2010-09-30
    • US12411902
    • 2009-03-26
    • Nagapramod MandagereMark A. SmithSandeep M. UttamchandaniPin Zhou
    • Nagapramod MandagereMark A. SmithSandeep M. UttamchandaniPin Zhou
    • G06F12/02G06F12/00G06F17/30
    • G06F17/30598G06F17/30489
    • One embodiment retrieves a first portion of a plurality of stored objects from at least one storage device. The embodiment further performs a base type deduplication estimation process on the first portion of stored objects. The embodiment still further categorizes the first portion of the plurality of stored objects into deduplication sets based on a deduplication relationship of each object of the plurality of stored objects with each of the estimated first plurality of deduplication chunk portions. The embodiment further combines deduplication sets into broad classes based on deduplication characteristics of the objects in the deduplication sets. The embodiment still further classifies a second portion of the plurality of stored objects into broad classes using classifiers. The embodiment further selects an appropriate deduplication approach for each categorized class.
    • 一个实施例从至少一个存储设备检索多个存储对象的第一部分。 该实施例还对存储对象的第一部分执行基本类型的重复数据删除估计处理。 该实施例还基于多个存储对象中的每个对象与所估计的第一多个重复数据删除块部分中的每一个的重复数据删除关系,进一步将多个存储对象的第一部分分类为重复数据删除集合。 该实施例还将重复数据删除集合基于重复数据删除集中的对象的重复数据删除特性组合成大类。 该实施例还使用分类器进一步将多个存储对象的第二部分分类为广泛类。 该实施例进一步为每个分类的类选择适当的重复数据删除方法。
    • 2. 发明授权
    • Storage management through adaptive deduplication
    • 通过自适应重复数据删除进行存储管理
    • US08140491B2
    • 2012-03-20
    • US12411902
    • 2009-03-26
    • Nagapramod MandagereMark A. SmithSandeep M. UttamchandaniPin Zhou
    • Nagapramod MandagereMark A. SmithSandeep M. UttamchandaniPin Zhou
    • G06F7/04G06F17/00
    • G06F17/30598G06F17/30489
    • One embodiment retrieves a first portion of a plurality of stored objects from at least one storage device. The embodiment further performs a base type deduplication estimation process on the first portion of stored objects. The embodiment still further categorizes the first portion of the plurality of stored objects into deduplication sets based on a deduplication relationship of each object of the plurality of stored objects with each of the estimated first plurality of deduplication chunk portions. The embodiment further combines deduplication sets into broad classes based on deduplication characteristics of the objects in the deduplication sets. The embodiment still further classifies a second portion of the plurality of stored objects into broad classes using classifiers. The embodiment further selects an appropriate deduplication approach for each categorized class.
    • 一个实施例从至少一个存储设备检索多个存储对象的第一部分。 该实施例还对存储对象的第一部分执行基本类型的重复数据删除估计处理。 该实施例还基于多个存储对象中的每个对象与所估计的第一多个重复数据删除块部分中的每一个的重复数据删除关系,进一步将多个存储对象的第一部分分类为重复数据删除集合。 该实施例还将重复数据删除集合基于重复数据删除集中的对象的重复数据删除特性组合成大类。 该实施例还使用分类器进一步将多个存储对象的第二部分分类为广泛类。 该实施例进一步为每个分类的类选择适当的重复数据删除方法。
    • 6. 发明授权
    • Data de-duplication in computer storage systems
    • 计算机存储系统中的重复数据删除
    • US08781800B2
    • 2014-07-15
    • US13286490
    • 2011-11-01
    • Kavita ChavdaEric W. Davis RozierNagapramod S. MandagereSandeep M. UttamchandaniPin Zhou
    • Kavita ChavdaEric W. Davis RozierNagapramod S. MandagereSandeep M. UttamchandaniPin Zhou
    • G06F17/10
    • G06F7/00G06F17/30159
    • Embodiments of the present invention provide an approach that utilizes discrete event simulation to quantitatively analyze the reliability of a modeled de-duplication system in a computer storage environment. In addition, the approach described herein can perform such an analysis on systems having heterogeneous data stored on heterogeneous storage systems in the presence of primary faults and their secondary effects due to de-duplication. In a typical embodiment, data de-duplication parameters and a hardware configuration are received in a computer storage medium. A data de-duplication model is then applied to a set of data and to the data de-duplication parameters, and a hardware reliability model is applied to the hardware configuration. Then a set (at least one) of discrete events is simulated based on the data de-duplication model as applied to the set of data and the data de-duplication parameters, and the hardware reliability model as applied to the hardware configuration. Based on the simulation, a set of data reliability and availability estimations/estimates can be generated (e.g., and outputted/provided).
    • 本发明的实施例提供一种利用离散事件模拟来定量分析计算机存储环境中的建模的重复数据删除系统的可靠性的方法。 另外,本文描述的方法可以在存在主异构存在的异构存储系统上的具有异构数据的系统上进行这种分析,并且由于重复数据删除而产生其次要效应。 在典型的实施例中,在计算机存储介质中接收数据重复数据删除参数和硬件配置。 然后将数据重复数据删除模型应用于一组数据和重复数据删除参数,并将硬件可靠性模型应用于硬件配置。 然后基于应用于数据集和数据重复数据删除参数的数据重复数据删除模型以及应用于硬件配置的硬件可靠性模型来模拟一组(至少一个)离散事件。 基于该仿真,可以生成(例如和输出/提供)一组数据可靠性和可用性估计/估计。