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    • 61. 发明申请
    • MANAGEMENT COMPUTER AND METHOD FOR EVALUATING PERFORMANCE THRESHOLD VALUE
    • 管理计算机和评估性能阈值的方法
    • US20160378583A1
    • 2016-12-29
    • US15121425
    • 2014-07-28
    • Hitachi, Ltd.
    • Kaori NAKANOMineyoshi MASUDAYasuyuki MIMATSUYutaka KUDOU
    • G06F11/07G06F11/34G06F11/30
    • G06F11/079G06F11/0709G06F11/0727G06F11/0751G06F11/0754G06F11/3006G06F11/34G06F11/3409G06F11/3495
    • A management computer has a processor configured to: select a service performance name pairing with a received first apparatus performance name; select a performance value of the received first apparatus performance name and a performance value of the selected service performance name; select a threshold of the first apparatus performance name and a threshold of the selected service performance name; determine whether the performance value of the first apparatus performance name exceeds the threshold of the first apparatus performance name within a predetermined period; determine whether the performance value of the service performance name exceeds the threshold of the service performance name within the predetermined period; and when a determination result of the performance value of the first apparatus performance name and a determination result of the performance value of the service performance name are the same result simultaneously, increase evaluation of the threshold of the first apparatus name.
    • 管理计算机具有:处理器,被配置为:选择与接收到的第一设备性能名称配对的服务性能名称; 选择接收到的第一设备性能名称的性能值和所选择的服务性能名称的性能值; 选择第一设备性能名称的阈值和所选服务性能名称的阈值; 确定所述第一装置性能名称的性能值是否在预定时段内超过所述第一装置性能名称的阈值; 确定服务性能名称的性能值是否超过预定时间段内的服务性能名称的阈值; 并且当第一装置性能名称的性能值的确定结果和服务性能名称的性能值的确定结果同时结果相同时,增加第一装置名称的阈值的评估。
    • 67. 发明申请
    • ANALYSIS DEVICE AND INFORMATION PROCESSING SYSTEM
    • 分析装置和信息处理系统
    • US20160239363A1
    • 2016-08-18
    • US14993317
    • 2016-01-12
    • FUJITSU LIMITED
    • TATSUMA MATSUKI
    • G06F11/07
    • G06F11/079G06F11/0709G06F11/0751G06F11/0754G06F11/0787
    • An analysis device includes a storage device and a processor. The storage device is configured to store therein performance information of each subject which is any type of performance of any device or any process in an information processing device. The processor is configured to acquire first performance information of a first subject from the information processing device and compare the first performance information with performance information of the first subject previously stored in the storage device to calculate a variation rate. The processor is configured to store the first performance information in the storage device when the variation rate exceeds a predetermined variation rate. The processor is configured to calculate a sampling rate for each subject and determine analysis candidate subjects which have a sampling rate higher than a predetermined sampling rate. The processor is configured to analyze a relationship between performance information of the analysis candidate subjects.
    • 分析装置包括存储装置和处理器。 存储设备被配置为在其中存储作为信息处理设备中的任何设备或任何进程的任何类型的性能的每个被摄体的性能信息。 处理器被配置为从信息处理设备获取第一对象的第一性能信息,并将第一性能信息与先前存储在存储设备中的第一对象的性能信息进行比较,以计算变化率。 处理器被配置为当变化率超过预定变化率时将第一性能信息存储在存储设备中。 处理器被配置为计算每个被摄体的采样率,并且确定具有高于预定采样率的采样率的分析候选对象。 处理器被配置为分析分析候选对象的性能信息之间的关系。
    • 68. 发明授权
    • Identification of storage system elements causing performance degradation
    • 识别导致性能下降的存储系统元件
    • US09418088B1
    • 2016-08-16
    • US14956584
    • 2015-12-02
    • International Business Machines Corporation
    • Dietmar Noll
    • G06F17/30G06F7/00H04L29/08
    • G06F11/079G06F11/0727G06F11/0754G06F11/0772G06F11/3034G06F11/3055G06F11/3409G06F11/3452H04L41/0631H04L41/142H04L43/0817H04L67/1097
    • The invention relates to a digital storage system, wherein the digital storage system includes one or more digital storage system elements. The digital storage system elements comprise a plurality of digital storage devices, and one or more network components to connect the digital storage elements. Execution of the machine executable instructions causes a processor to repeatedly record performance metric data descriptive of the performance of the storage system elements in the database, locate outliers in the performance metric data using a statistical algorithm, and to calculate a problem contribution probability value for at least a portion of the outliers. The problem contribution probability value is weighted using an instantiated configuration dependency tree and an instantiated performance metric dependency tree. The processor uses the problem contribution probability value to determine a sequential list of outliers. The order in the sequential list is determined using the problem contribution probability value.
    • 本发明涉及数字存储系统,其中数字存储系统包括一个或多个数字存储系统元件。 数字存储系统元件包括多个数字存储设备和用于连接数字存储元件的一个或多个网络组件。 执行机器可执行指令使得处理器重复记录描述数据库中的存储系统元件的性能的性能度量数据,使用统计算法来定位性能度量数据中的异常值,并计算出在 至少一部分异常值。 使用实例化配置依赖关系树和实例性能度量依赖关系树对问题贡献概率值进行加权。 处理器使用问题贡献概率值来确定异常值的顺序列表。 使用问题贡献概率值确定顺序列表中的顺序。
    • 69. 发明授权
    • Operations management system, operations management method and program thereof
    • 运营管理系统,运营管理方法及程序
    • US09417940B2
    • 2016-08-16
    • US13695776
    • 2012-03-21
    • Yosuke Nonogaki
    • Yosuke Nonogaki
    • G06F11/07G06F11/34
    • G06F11/079G06F11/0709G06F11/0754G06F11/3409G06F11/3447
    • An operations management system includes a correlation model storing unit, an analysis order storing unit, an analysis unit, and an order control unit. The correlation model storing unit stores a correlation model which indicates a correlation among plural types of performance values, for each of plural systems. The analysis order storing unit stores a detection order in the plural systems for carrying out detection of correlation destruction. The analysis unit carries out, in each of plural time periods, detection of whether the correlation destruction of the correlation included in the correlation model of each of the plural systems is caused or not by use of performance values inputted for the each of plural time periods, on the basis of the detection order. The order control unit updates the detection order in the each of plural time periods.
    • 操作管理系统包括相关模型存储单元,分析顺序存储单元,分析单元和订单控制单元。 相关模型存储单元存储针对多个系统中的每一个指示多种类型的演奏值之间的相关性的相关模型。 分析顺序存储单元存储用于执行相关破坏检测的多个系统中的检测顺序。 分析单元在多个时间段中的每一个中,通过使用为多个时间段中的每一个输入的性能值来检测是否引起包括在多个系统中的每一个的相关模型中的相关性的相关破坏 ,根据检测顺序。 订单控制单元更新多个时间段中的每一个中的检测顺序。