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1.发明授权公开(公告)号：US07502971B2
公开(公告)日：2009-03-10
申请号：US11248692
申请日：2005-10-12
IPC分类号： G06F11/00
CPC分类号： G06F11/008
摘要： A computer system includes a signature creation engine operable to determine signatures representing states of a computer resource from metrics for the computer resource. The computer system also includes a database operable to store the signatures along with an annotation for each signature including information relating to a state of the computer resource. The computer system is operable to determine a recurrent problem of the computer resource from stored signatures.
摘要翻译： 计算机系统包括签名创建引擎，其可操作以根据计算机资源的度量来确定表示计算机资源的状态的签名。 计算机系统还包括可操作以存储签名的数据库以及包括与计算机资源的状态相关的信息的每个签名的注释。 计算机系统可操作以从存储的签名确定计算机资源的经常性问题。
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公开(公告)号：US07721061B1
公开(公告)日：2010-05-18
申请号：US11159441
申请日：2005-06-22
IPC分类号： G06F13/00
CPC分类号： G06F11/3419 , G06F11/3447 , G06F11/3452 , G06F2201/87 , G06F2201/885
摘要： An embodiment of a method of predicting response time for a storage request begins with a first step of a computing entity storing a training data set. The training data set comprises past performance observations for past storage requests of a storage array. Each past performance observation comprises an observed response time and a feature vector for a particular past storage request. The feature vector includes characteristics that are available external to the storage array. In a second step, the computing entity forms a response time forecaster from the training data set. In the third step, the computing entity applies the response time forecaster to a pending feature vector for a pending storage request to obtain a predicted response time for the pending storage request.
摘要翻译： 预测存储请求的响应时间的方法的实施例开始于存储训练数据集的计算实体的第一步骤。 训练数据集包括对存储阵列的过去存储请求的过去的性能观察。 每个过去的表现观察包括观察到的响应时间和特定过去存储请求的特征向量。 特征向量包括在存储阵列外部可用的特征。 在第二步中，计算实体从训练数据集中形成响应时间预测器。 在第三步骤中，计算实体将响应时间预测器应用于未决存储器请求的未决特征向量，以获得待决存储请求的预测响应时间。
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公开(公告)号：US20060188011A1
公开(公告)日：2006-08-24
申请号：US10987611
申请日：2004-11-12
申请人： Moises Goldszmidt , Ira Cohen , Terence Kelly , Julie Symons
发明人： Moises Goldszmidt , Ira Cohen , Terence Kelly , Julie Symons
IPC分类号： H03H7/30
CPC分类号： G06Q10/04
摘要： Systems, methods, and software used in performing automated diagnosis and identification of or forecasting service level object states. Some embodiments include building classifier models based on collected metric data to detect and forecast service level objective (SLO) violations. Some such systems, methods, and software further include automated detecting and forecasting of SLO violations along with providing alarms, messages, or commands to administrators or system components. Some such messages include diagnostic information with regard to a cause of a SLO violation. Some embodiments further include storing data representative of system performance and detected and forecast system SLO states. This data can then be used to generate reports of system performance including representations of system SLO states.
摘要翻译： 用于执行自动诊断和识别或预测服务级对象状态的系统，方法和软件。 一些实施例包括基于收集的度量数据建立分类器模型以检测和预测服务水平目标（SLO）违规。 一些这样的系统，方法和软件还包括自动检测和预测SLO违规以及向管理员或系统组件提供警报，消息或命令。 一些这样的消息包括关于SLO违规的原因的诊断信息。 一些实施例还包括存储表示系统性能的数据和检测和预测系统SLO状态。 然后，该数据可用于生成系统性能的报告，包括系统SLO状态的表示。
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公开(公告)号：US20060047614A1
公开(公告)日：2006-03-02
申请号：US10932386
申请日：2004-09-02
申请人： Ira Cohen , Moises Goldszmidt
发明人： Ira Cohen , Moises Goldszmidt
CPC分类号： G06K9/6277
摘要： A classifier is calibrated to produce a calibration map and a threshold is derived from the calibration map. A probability assignment produced by the classifier for input data is then compared to the threshold.
摘要翻译： 分类器被校准以产生校准图，并且从校准图导出阈值。 然后将用于输入数据的分类器产生的概率分配与阈值进行比较。
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公开(公告)号：US07266536B2
公开(公告)日：2007-09-04
申请号：US10932386
申请日：2004-09-02
申请人： Ira Cohen , Moises Goldszmidt
发明人： Ira Cohen , Moises Goldszmidt
CPC分类号： G06K9/6277
摘要： A classifier is calibrated to produce a calibration map and a threshold is derived from the calibration map. A probability assignment produced by the classifier for input data is then compared to the threshold.
摘要翻译： 分类器被校准以产生校准图，并且从校准图导出阈值。 然后将用于输入数据的分类器产生的概率分配与阈值进行比较。
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公开(公告)号：US07184935B1
公开(公告)日：2007-02-27
申请号：US11149566
申请日：2005-06-10
申请人： Ira Cohen , Moises Goldszmidt
发明人： Ira Cohen , Moises Goldszmidt
IPC分类号： G06F3/01
CPC分类号： G06F11/3409 , G06F11/3452 , G06F11/3466 , G06F2201/81 , G06F2201/875
摘要： Metrics for a computer resource are collected. A signature representing a state of the computer resource from the metrics are determined by determining raw values for each of the metrics and generating a vector from at least some of the raw values for the metrics, where generating the vector further comprises generating models for possible system states of the computer resource, determining a model that closely matches a state of the computer resource, determining key metrics for the model, and determining a vector of values from the key metrics. An annotation that describes the state of the computer resource is received and associated with the signature. The signature and the associated annotation are stored such that they are searchable.
摘要翻译： 收集计算机资源的指标。 通过确定每个度量的原始值并从用于度量的至少一些原始值生成向量来确定表示来自度量的计算机资源的状态的签名，其中生成向量还包括为可能的系统生成模型 计算机资源的状态，确定与计算机资源的状态紧密匹配的模型，确定模型的关键度量，以及根据关键度量确定值向量。 描述计算机资源的状态的注释被接收并与签名相关联。 存储签名和相关注释，使其可搜索。
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公开(公告)号：US07693982B2
公开(公告)日：2010-04-06
申请号：US10987611
申请日：2004-11-12
CPC分类号： G06Q10/04
摘要： Systems, methods, and software used in performing automated diagnosis and identification of or forecasting service level object states. Some embodiments include building classifier models based on collected metric data to detect and forecast service level objective (SLO) violations. Some such systems, methods, and software further include automated detecting and forecasting of SLO violations along with providing alarms, messages, or commands to administrators or system components. Some such messages include diagnostic information with regard to a cause of a SLO violation. Some embodiments further include storing data representative of system performance and detected and forecast system SLO states. This data can then be used to generate reports of system performance including representations of system SLO states.
摘要翻译： 用于执行自动诊断和识别或预测服务级对象状态的系统，方法和软件。 一些实施例包括基于收集的度量数据建立分类器模型以检测和预测服务水平目标（SLO）违规。 一些这样的系统，方法和软件还包括自动检测和预测SLO违规以及向管理员或系统组件提供警报，消息或命令。 一些这样的消息包括关于SLO违规的原因的诊断信息。 一些实施例还包括存储表示系统性能的数据和检测和预测系统SLO状态。 然后，该数据可用于生成系统性能的报告，包括系统SLO状态的表示。
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8.发明申请公开(公告)号：US20070083513A1
公开(公告)日：2007-04-12
申请号：US11248692
申请日：2005-10-12
申请人： Ira Cohen , Moises Goldszmidt , Julie Symons , Terence Kelly , Steve Zhang
发明人： Ira Cohen , Moises Goldszmidt , Julie Symons , Terence Kelly , Steve Zhang
IPC分类号： G06F17/30
CPC分类号： G06F11/008
摘要： A computer system includes a signature creation engine operable to determine signatures representing states of a computer resource from metrics for the computer resource. The computer system also includes a database operable to store the signatures along with an annotation for each signature including information relating to a state of the computer resource. The computer system is operable to determine a recurrent problem of the computer resource from stored signatures.
摘要翻译： 计算机系统包括签名创建引擎，其可操作以根据计算机资源的度量来确定表示计算机资源的状态的签名。 计算机系统还包括可操作以存储签名的数据库以及包括与计算机资源的状态相关的信息的每个签名的注释。 计算机系统可操作以从存储的签名确定计算机资源的经常性问题。
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公开(公告)号：US08078913B2
公开(公告)日：2011-12-13
申请号：US12473900
申请日：2009-05-28
申请人： Moises Goldszmidt , Peter Bodik
发明人： Moises Goldszmidt , Peter Bodik
IPC分类号： G06F11/00
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/3409 , G06F2201/81 , H04L41/0681
摘要： Methods for automatically identifying and classifying a crisis state occurring in a system having a plurality of computer resources. Signals are received from a device that collects the signals from each computer resource in the system. For each epoch, an epoch fingerprint is generated. Upon detecting a performance crisis within the system, a crisis fingerprint is generated consisting of at least one epoch fingerprint. The technology is able to identify that a performance crisis has previously occurred within the datacenter if a generated crisis fingerprint favorably matches any of the model crisis fingerprints stored in a database. The technology may also predict that a crisis is about to occur.
摘要翻译： 用于自动识别和分类在具有多个计算机资源的系统中发生的危机状态的方法。 从收集系统中每台计算机资源的信号的设备接收信号。 对于每个时期，都会产生一个时代指纹。 在检测到系统内的性能危机之后，产生由至少一个时代指纹组成的危机指纹。 该技术能够确定如果生成的危机指纹有利地匹配存储在数据库中的任何模型危机指纹，则数据中心之前发生了性能危机。 该技术还可能预测危机即将发生。
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10.发明申请公开(公告)号：US20090144034A1
公开(公告)日：2009-06-04
申请号：US11949061
申请日：2007-12-03
申请人： Aleksandr Simma , Moises Goldszmidt
发明人： Aleksandr Simma , Moises Goldszmidt
CPC分类号： H04L41/0663 , H04L41/142 , H04L41/145
摘要： Dependencies between different channels or different services in a client or server may be determined from the observation of the times of the incoming and outgoing of the packets constituting those channels or services. A probabilistic model may be used to formally characterize these dependencies. The probabilistic model may be used to list the dependencies between input packets and output packets of various channels or services, and may be used to establish the expected strength of the causal relationship between the different events surrounding those channels or services. Parameters of the probabilistic model may be either based on prior knowledge, or may be fit using statistical techniques based on observations about the times of the events of interest. Expected times of occurrence between events may be observed, and dependencies may be determined in accordance with the probabilistic model.
摘要翻译： 客户端或服务器中的不同信道或不同业务之间的依赖关系可以从对构成这些信道或业务的分组的进入和传出的时间的观察来确定。 概率模型可用于正式表征这些依赖性。 概率模型可以用于列出输入分组和各种信道或服务的输出分组之间的依赖性，并且可以用于建立围绕这些信道或服务的不同事件之间的因果关系的预期强度。 概率模型的参数可以基于现有知识，或者可以使用基于关于感兴趣事件的时间的观察的统计技术来拟合。 可以观察事件之间的预期发生时间，并且依赖性可以根据概率模型来确定。
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