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    Analysis of mutually exclusive conflicts among redundant devices
    3.
    发明授权
    Analysis of mutually exclusive conflicts among redundant devices 失效
    分析冗余设备之间的互斥冲突

    公开(公告)号：US07607043B2

    公开(公告)日：2009-10-20

    申请号：US11324849

    申请日：2006-01-04

    Applicant: Timothy J. Crawford ,  Michael R. Groseclose, Jr. ,  David A. Larson

    Inventor： Timothy J. Crawford ,  Michael R. Groseclose, Jr. ,  David A. Larson

    IPC: G06F11/00

    CPC classification number: G06F11/079 ,  G06F11/0709 ,  G06F11/16 ,  G06F11/2015

    Abstract: A system for analyzing mutually exclusive conflicts among a plurality of redundant devices in a computer system includes a data management module operable on the computer system. The data management module parses through status data generated by the plurality of redundant devices to identify an error condition in one of the plurality of redundant devices, generate metadata describing the error condition, and take action to resolve the error condition. A method of analyzing mutually exclusive conflicts among redundant devices in a computer system includes collecting status data from the redundant devices, identifying an error condition, generating metadata describing the condition, analyzing the metadata to determine a lowest-level or least impacting redundant device that is the root cause of the condition, and taking an action to resolve the condition.

    Abstract translation: 一种用于分析计算机系统中的多个冗余设备之间的互斥冲突的系统，包括可在该计算机系统上操作的数据管理模块。 数据管理模块通过由多个冗余设备产生的状态数据进行解析，以识别多个冗余设备之一中的错误状况，生成描述错误状况的元数据，并采取措施来解决错误状况。 分析计算机系统中的冗余设备之间的互斥冲突的方法包括从冗余设备收集状态数据，识别错误状况，生成描述条件的元数据，分析元数据以确定最低级或最低影响的冗余设备， 条件的根本原因，并采取行动来解决问题。

    DATA COMPRESSION ALGORITHM SELECTION AND TIERING
    5.
    发明申请
    DATA COMPRESSION ALGORITHM SELECTION AND TIERING 有权
    数据压缩算法选择和分类

    公开(公告)号：US20110082842A1

    公开(公告)日：2011-04-07

    申请号：US12574470

    申请日：2009-10-06

    Applicant: MICHAEL R. GROSECLOSE, JR. ,  LARRY JUAREZ ,  DAVID MONTGOMERY ,  JASON L. PEIPELMAN ,  JOSHUA M. RHOADES

    Inventor： MICHAEL R. GROSECLOSE, JR. ,  LARRY JUAREZ ,  DAVID MONTGOMERY ,  JASON L. PEIPELMAN ,  JOSHUA M. RHOADES

    IPC: G06F17/30

    CPC classification number: G06F17/30306 ,  G06F3/0608 ,  G06F3/0638 ,  G06F3/067 ,  G06F17/30501 ,  H03M7/30

    Abstract: A data storage subsystem having a plurality of data compression engines configured to compress data, each having a different compression algorithm. A data handling system is configured to select at least one sample of data; operate a plurality of the data compression engines to compress the selected sample(s); determine the compression ratios of the operated data compression engines with respect to the selected sample(s); and select the data compression engine having the greatest compression ratio with respect to the selected sample(s), to compress the data. Further, the data compression engines may be in tiers from low to high in accordance with expected latency to compress data and to uncompress compressed data; and a data compression engine is selected from a tier that is inverse to the present rate of access.

    Abstract translation: 数据存储子系统具有多个数据压缩引擎，其被配置为压缩数据，每个具有不同的压缩算法。 数据处理系统被配置为选择至少一个数据样本; 操作多个数据压缩引擎来压缩所选择的样本; 确定所操作的数据压缩引擎相对于所选择的样本的压缩比; 并选择相对于所选择的样本具有最大压缩比的数据压缩引擎来压缩数据。 此外，数据压缩引擎可以根据预期的等待时间从低到高分级来压缩数据并解压缩压缩数据; 并且从与当前访问速率相反的层中选择数据压缩引擎。

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