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    • 1. 发明申请
    • METHOD AND APPARATUS FOR USING SELECTIVE ATTRIBUTE ACQUISITION AND CLAUSE EVALUATION FOR POLICY BASED STORAGE MANAGEMENT
    • 使用选择性收购和条件评估进行政策性存储管理的方法和装置
    • US20090313297A1
    • 2009-12-17
    • US12138351
    • 2008-06-12
    • Windsor Wee Sun HsuPin Zhou
    • Windsor Wee Sun HsuPin Zhou
    • G06F17/30
    • G06F17/30017
    • The invention provides a method and apparatus for managing stored data objects. The method includes detecting involved attributes of stored data objects based on object management rules, determining expected data storage management costs for each possible order of attribute acquisition for the detected attributes, detecting an order of attribute acquisition that has a data storage management cost which is minimal or below a predetermined threshold, acquiring the attributes of the stored data objects based on the detected order of attribute acquisition, and executing an object management policy based on the acquired attributes to manage the stored objects at the low cost for object storage, attribute acquisition and policy evaluation.
    • 本发明提供一种用于管理存储的数据对象的方法和装置。 该方法包括基于对象管理规则检测存储的数据对象的相关属性,为检测到的属性确定属性获取的每个可能顺序的预期数据存储管理成本,检测具有最小数据存储管理成本的属性获取顺序 或低于预定阈值,基于检测到的属性获取顺序来获取所存储的数据对象的属性,并且基于所获取的属性执行对象管理策略,以便以对象存储,属性获取的低成本管理所存储的对象,并且 政策评估。
    • 2. 发明授权
    • Method and apparatus for using selective attribute acquisition and clause evaluation for policy based storage management
    • 用于基于策略的存储管理选择性属性获取和子句评估的方法和装置
    • US08266120B2
    • 2012-09-11
    • US12138351
    • 2008-06-12
    • Windsor Wee Sun HsuPin Zhou
    • Windsor Wee Sun HsuPin Zhou
    • G06F17/30
    • G06F17/30017
    • The invention provides a method and apparatus for managing stored data objects. The method includes detecting involved attributes of stored data objects based on object management rules, determining expected data storage management costs for each possible order of attribute acquisition for the detected attributes, detecting an order of attribute acquisition that has a data storage management cost which is minimal or below a predetermined threshold, acquiring the attributes of the stored data objects based on the detected order of attribute acquisition, and executing an object management policy based on the acquired attributes to manage the stored objects at the low cost for object storage, attribute acquisition and policy evaluation.
    • 本发明提供一种用于管理存储的数据对象的方法和装置。 该方法包括基于对象管理规则检测存储的数据对象的相关属性,为检测到的属性确定属性获取的每个可能顺序的预期数据存储管理成本,检测具有最小数据存储管理成本的属性获取顺序 或低于预定阈值,基于检测到的属性获取顺序获取所存储的数据对象的属性,并且基于所获取的属性执行对象管理策略,以便以低成本管理所存储的对象,用于对象存储,属性获取和 政策评估。
    • 4. 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。
    • 8. 发明申请
    • AUTOMATED SYSTEM PROBLEM DIAGNOSING
    • 自动化系统问题诊断
    • US20110185233A1
    • 2011-07-28
    • US12693373
    • 2010-01-25
    • Wendy A. BelluominiBinny Sher GillXifeng YanPin Zhou
    • Wendy A. BelluominiBinny Sher GillXifeng YanPin Zhou
    • G06F11/07G06F17/30
    • G06F17/30675G06F11/079
    • Embodiments of the invention relate to automated system problem diagnosing. An index is created with problem description information of previously diagnosed problems, a diagnosis for each problem, and a solution to each diagnosis. System states, traces and logs are extracted from a source system with a new problem. The problem diagnosis system generates problem description information of the new problem from the system states, traces and logs. Problem description information of the new problem is compared with problem description information in the problem description index. A search score is computed for each document in the problem description index. The search score is a measure of similarity between each document in the index and the description of the new problem. A matching score is assigned to each previously diagnosed problems based on the search score. The matching score is a measure of similarity between the new problem and each previously diagnosed problem. The system determines a diagnosis and solution of the new problem based on a diagnosis and solution of one of the previously diagnosed problems.
    • 本发明的实施例涉及自动化系统问题诊断。 创建索引,其中包含先前诊断的问题的问题描述信息,每个问题的诊断以及每个诊断的解决方案。 系统状态,跟踪和日志是从具有新问题的源系统中提取出来的。 问题诊断系统从系统状态,跟踪和日志生成新问题的问题描述信息。 新问题的问题描述信息与问题描述索引中的问题描述信息进行比较。 对问题描述索引中的每个文档计算搜索分数。 搜索分数是索引中的每个文档与新问题的描述之间的相似度的量度。 根据搜索得分将匹配得分分配给每个先前诊断的问题。 匹配分数是新问题和每个先前诊断的问题之间的相似性的量度。 该系统基于以前诊断的问题之一的诊断和解决方案来确定新问题的诊断和解决方案。