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公开(公告)号：US20100174947A1
公开(公告)日：2010-07-08
申请号：US12350518
申请日：2009-01-08
CPC分类号： G06F11/0778 , G06F11/0721 , G06F11/0751 , G06F11/076
摘要： A computer implemented method for a computer including a processor having a software stack accessed by multiple application programs includes receiving software requests from the multiple applications at the software stack; monitoring the rate of stack failures at the stack via a stack monitor; comparing the rate of stack failures with a time related threshold; and generating an alarm when the rate of stack failures exceeds the time related threshold.
摘要翻译： 一种用于计算机的计算机实现的方法，包括具有由多个应用程序访问的软件栈的处理器，包括从软件堆栈的多个应用接收软件请求; 通过堆栈监视器监视堆栈堆栈故障的速率; 将堆栈故障率与时间相关阈值进行比较; 并且当堆栈故障率超过时间相关阈值时产生报警。
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公开(公告)号：US08214693B2
公开(公告)日：2012-07-03
申请号：US12350518
申请日：2009-01-08
IPC分类号： G06F11/00
CPC分类号： G06F11/0778 , G06F11/0721 , G06F11/0751 , G06F11/076
摘要： Damage to a software stack accessed by multiple application programs can be detected by monitoring the rate of stack failures at the stack via a stack monitor and comparing the rate of stack failures with a time related threshold. An alarm is generated when the rate of stack failures exceeds the time related threshold.
摘要翻译： 可以通过监视堆栈监视器中的堆栈堆栈故障速率并将堆栈故障率与时间相关阈值进行比较来检测对多个应用程序访问的软件堆栈的损坏。 当堆栈故障率超过时间相关阈值时，会产生一个告警。
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公开(公告)号：US10558544B2
公开(公告)日：2020-02-11
申请号：US13026351
申请日：2011-02-14
申请人： Karla K. Arndt , James M. Caffrey , Keyur Patel , Aspen L. Payton
发明人： Karla K. Arndt , James M. Caffrey , Keyur Patel , Aspen L. Payton
摘要： Techniques are described for monitoring a performance metric. A multiple modeling approach is used to improve predictive analysis by avoiding the issuance of warnings during spikes which occur as a part of normal system processing. This approach increases the accuracy of predictive analytics on a monitored computing system, does not require creating rules defining periodic processing cycles, reduces the amount of data required to perform predictive modeling, and reduces the amount of CPU required to perform predictive modeling.
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4.发明授权公开(公告)号：US08838414B2
公开(公告)日：2014-09-16
申请号：US13087467
申请日：2011-04-15
CPC分类号： G06N7/005
摘要： In an embodiment, deltas are calculated between respective current metric values for respective entities and previous metric values for the respective entities. A subset of the deltas is determined. A sum of the subset is calculated, and the sum is divided by a number of the subset to create an average delta for the subset. If one of the respective entities has one of the deltas that is greater than or equal to the average delta for the subset and the one of the respective entities was not previously used to create the previous prediction, then a current prediction is created.
摘要翻译： 在一个实施例中，在相应实体的相应当前度量值和相应实体的先前度量值之间计算增量。 确定三角洲的一个子集。 计算子集的总和，并且将该和除以子集的数量以创建子集的平均增量。 如果相应实体中的一个具有大于或等于子集的平均增量的三角形之一，并且相应实体之一之前未被用于创建先前的预测，则创建当前预测。
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5.发明申请公开(公告)号：US20120265723A1
公开(公告)日：2012-10-18
申请号：US13087467
申请日：2011-04-15
IPC分类号： G06N5/04
CPC分类号： G06N7/005
摘要： In an embodiment, deltas are calculated between respective current metric values for respective entities and previous metric values for the respective entities. A subset of the deltas is determined. A sum of the subset is calculated, and the sum is divided by a number of the subset to create an average delta for the subset. If one of the respective entities has one of the deltas that is greater than or equal to the average delta for the subset and the one of the respective entities was not previously used to create the previous prediction, then a current prediction is created.
摘要翻译： 在一个实施例中，在相应实体的相应当前度量值和相应实体的先前度量值之间计算增量。 确定三角洲的一个子集。 计算子集的总和，并且将该和除以子集的数量以创建子集的平均增量。 如果相应实体中的一个具有大于或等于子集的平均增量的三角形之一，并且相应实体之一之前未被用于创建先前的预测，则创建当前预测。
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公开(公告)号：US08732525B2
公开(公告)日：2014-05-20
申请号：US13270649
申请日：2011-10-11
IPC分类号： G06F11/00
CPC分类号： G06F11/0754 , G06F11/3447 , G06F11/3466 , G06F2201/815
摘要： A computing system includes a processor configured to identify a resource manager associated with a computing transaction, classify the computing transaction to determine a predetermined metric, measure an actual metric of the computing transaction, compare the predetermined metric to the actual metric to detect abnormal behavior in the transaction and model the abnormal behavior to determine how the resource manager is affected by the abnormal behavior.
摘要翻译： 计算系统包括被配置为识别与计算事务相关联的资源管理器的处理器，对计算事务进行分类以确定预定度量，测量计算事务的实际度量，将预定度量与实际度量进行比较以检测异常行为 交易和建模异常行为，以确定资源管理器如何受到异常行为的影响。
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7.发明授权公开(公告)号：US08676739B2
公开(公告)日：2014-03-18
申请号：US12944353
申请日：2010-11-11
IPC分类号： G06F17/00
CPC分类号： G06N5/02 , G06K9/6282 , G06N5/046
摘要： Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node.
摘要翻译： 描述了用于确定预测分析应用程序应该使用分类和回归树（CART）的哪个节点的技术。 第一种方法是在给定的CART级别使用数据的标准偏差，以确定下一个较低节点中的数据是否与当前节点中的数据更一致。 第二种方法是测量给定节点中的数据点与每个点被采样的时间（或其他相关度量）之间的相关性，以识别优选节点。
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公开(公告)号：US20130091391A1
公开(公告)日：2013-04-11
申请号：US13270649
申请日：2011-10-11
IPC分类号： G06F11/30
CPC分类号： G06F11/0754 , G06F11/3447 , G06F11/3466 , G06F2201/815
摘要： A computing system includes a processor configured to identify a resource manager associated with a computing transaction, classify the computing transaction to determine a predetermined metric, measure an actual metric of the computing transaction, compare the predetermined metric to the actual metric to detect abnormal behavior in the transaction and model the abnormal behavior to determine how the resource manager is affected by the abnormal behavior.
摘要翻译： 计算系统包括被配置为识别与计算事务相关联的资源管理器的处理器，对计算事务进行分类以确定预定度量，测量计算事务的实际度量，将预定度量与实际度量进行比较以检测异常行为 交易和建模异常行为，以确定资源管理器如何受到异常行为的影响。
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