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11. 发明授权

US08078619B2 Automated grouping of messages provided to an application using string similarity analysis 有权
标题翻译：使用字符串相似性分析自动分组提供给应用程序的消息
公开(公告)号：US08078619B2
公开(公告)日：2011-12-13
申请号：US12723186
申请日：2010-03-12
申请人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
IPC分类号： G06F7/00
CPC分类号： G06F11/3612 , H04L67/02 , H04L67/28 , H04L67/2833 , Y10S707/99936
摘要： Messages which are provided to an application are monitored. Similarities between the messages are determined based on a distance algorithm, in one approach, and messages which are similar are assigned to a common group. For example, the messages may be HTTP messages which include a URL, HTTP header parameters and/or HTTP post parameters. The messages are parsed to derive a string which is used in the distance calculations. Additionally, application runtime data such as response times is obtained and aggregated for the group. Further, a representative message can be determined for each group for comparison to subsequent messages. Results can be reported which include a group identifier, representative message, count and aggregated runtime data.
摘要翻译：监控提供给应用程序的消息。在一种方法中，基于距离算法确定消息之间的相似性，并且将相似的消息分配给公共组。例如，消息可以是包括URL，HTTP头参数和/或HTTP post参数的HTTP消息。消息被解析以导出在距离计算中使用的字符串。另外，应用程序运行时数据（如响应时间）可以为组获取和聚合。此外，可以为每个组确定代表性消息以与后续消息进行比较。可以报告结果，其中包括组标识符，代表性消息，计数和聚合的运行时数据。

12. 发明申请

US20110098973A1 Automatic Baselining Of Metrics For Application Performance Management 审中-公开
标题翻译：针对应用程序性能管理的指标自动基准
公开(公告)号：US20110098973A1
公开(公告)日：2011-04-28
申请号：US12605087
申请日：2009-10-23
申请人： David Isaiah Seidman
发明人： David Isaiah Seidman
IPC分类号： G06F17/18 , G06F15/00
CPC分类号： G06F11/3409 , G06F11/0709 , G06F11/0754 , G06F11/3466 , G06F2201/80 , G06F2201/81 , G06F2201/865 , G06F2201/87 , G06F2201/875
摘要： An application monitoring system monitors one or more applications to generate and report application performance data for transactions. Actual performance data for one or more metrics is compared with a baseline metric value(s) to detect anomalous transactions or components thereof. Automatic baselining for a selected metric is provided using variability based on a distribution range and arithmetic mean of actual performance data to determine an appropriate sensitivity for boundaries between comparison levels. A user-defined sensitivity parameter allows adjustment of baselines to increase or decrease comparison sensitivity for a selected metric. The system identifies anomalies in transactions, components of transaction based on a comparison of actual performance data with the automatically determined baseline for a corresponding metric. The system reports performance data and other transactional data for identified anomalies.
摘要翻译：应用程序监视系统监视一个或多个应用程序以生成和报告交易的应用程序性能数据。将一个或多个度量的实际性能数据与基线度量值进行比较以检测异常事务或其组件。使用基于分布范围和实际性能数据的算术平均值的可变性来提供所选度量的自动基线，以确定对比水平之间的边界的适当灵敏度。用户定义的灵敏度参数允许调整基线以增加或减少所选度量的比较灵敏度。系统根据实际绩效数据与相应度量的自动确定基线的比较来识别交易中的异常，交易组件。系统报告所识别异常的性能数据和其他事务数据。

13. 发明授权

US07761487B2 Predicting out of memory conditions using soft references 有权
标题翻译：使用软参考预测内存不足的情况
公开(公告)号：US07761487B2
公开(公告)日：2010-07-20
申请号：US11610085
申请日：2006-12-13
申请人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
IPC分类号： G06F12/00 , G06F17/30
CPC分类号： G06F12/0253
摘要： A near out-of-memory condition in a memory space is detected by creating softly reachable objects which are garbage collected when the memory space is becoming full. The softly reachable objects are objects that can be cleared at the discretion of the garbage collector when heap memory is running low. An agent process of an application can create soft reference objects which reference the softly reachable objects, and periodically poll the soft reference objects to determine if the softly reachable objects have been cleared. If they have been cleared, the agent reports to the application so that a graceful shutdown of the application can be initiated. A report can also be sent to a user interface or other output device. Additional information regarding the memory space can be gained by using softly reachable objects of different sizes and/or ages. Further, a wait period for the polling can be set adaptively.
摘要翻译：通过创建在存储器空间变满时被垃圾回收的软可达对象来检测存储器空间中的近内存条件。可轻松访问的对象是当堆内存不足时可以由垃圾收集器自行清除的对象。应用程序的代理进程可以创建引用软可达对象的软参考对象，并周期性地轮询软参考对象以确定软可达对象是否已被清除。如果它们被清除，代理将向应用程序报告，以便可以启动应用程序的正常关闭。还可以将报告发送到用户界面或其他输出设备。可以通过使用不同尺寸和/或年龄的轻柔可达的物体获得关于存储器空间的附加信息。此外，轮询的等待时间可以自适应地设定。

14. 发明申请

US20100169285A1 AUTOMATED GROUPING OF MESSAGES PROVIDED TO AN APPLICATION USING STRING SIMILARITY ANALYSIS 有权
标题翻译：使用STRING相似性分析对应用程序提供的信息进行自动分组
公开(公告)号：US20100169285A1
公开(公告)日：2010-07-01
申请号：US12723186
申请日：2010-03-12
申请人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
IPC分类号： G06F17/30
CPC分类号： G06F11/3612 , H04L67/02 , H04L67/28 , H04L67/2833 , Y10S707/99936
摘要： Messages which are provided to an application are monitored. Similarities between the messages are determined based on a distance algorithm, in one approach, and messages which are similar are assigned to a common group. For example, the messages may be HTTP messages which include a URL, HTTP header parameters and/or HTTP post parameters. The messages are parsed to derive a string which is used in the distance calculations. Additionally, application runtime data such as response times is obtained and aggregated for the group. Further, a representative message can be determined for each group for comparison to subsequent messages. Results can be reported which include a group identifier, representative message, count and aggregated runtime data.
摘要翻译：监控提供给应用程序的消息。在一种方法中，基于距离算法确定消息之间的相似性，并且将相似的消息分配给公共组。例如，消息可以是包括URL，HTTP头参数和/或HTTP post参数的HTTP消息。消息被解析以导出在距离计算中使用的字符串。另外，应用程序运行时数据（如响应时间）可以为组获取和聚合。此外，可以为每个组确定代表性消息以与后续消息进行比较。可以报告结果，其中包括组标识符，代表性消息，计数和聚合的运行时数据。

15. 发明申请

US20090235268A1 CAPACITY PLANNING BASED ON RESOURCE UTILIZATION AS A FUNCTION OF WORKLOAD 有权
标题翻译：基于资源利用的能力规划作为工作的功能
公开(公告)号：US20090235268A1
公开(公告)日：2009-09-17
申请号：US12049840
申请日：2008-03-17
申请人： David Isaiah Seidman , Mark Jacob Addleman
发明人： David Isaiah Seidman , Mark Jacob Addleman
IPC分类号： G06F9/50
CPC分类号： G06F11/3452 , G06F11/3442 , G06F11/3466 , G06F11/3476 , G06F2201/865
摘要： Capacity planning based on resource utilization as a function of workload is disclosed. The workload may include different types of requests such as login requests, requests to visit web pages, requests to purchase an item on an online shopping site, etc. In one embodiment, data is determined for each of a plurality of workloads. The data includes characteristics of a workload and resource utilization due at least in part processing that workload. Based on the data, utilization of each of the resources as a function of workload characteristics is estimated. Further, based on the estimated resource utilization, workload characteristics that are expected to cause each respective resource to reach a certain level are predicted. That level could be 100 percent utilization, but could be another level. Capacity planning is performed based on the workload characteristics that are expected to cause each respective resource to reach a certain level.
摘要翻译：披露了基于资源利用作为工作负载的功能的容量规划。工作负载可以包括不同类型的请求，例如登录请求，访问网页的请求，在网络购物站点上购买项目的请求等。在一个实施例中，为多个工作负载中的每一个确定数据。数据包括工作负载和资源利用率的特征，至少部分地处理该工作负载。根据数据，估计作为工作负载特性的函数的每个资源的利用。此外，基于估计的资源利用率，预测预期使各个资源达到一定水平的工作量特性。该水平可能是100％的利用率，但可能是另一个水平。基于预期导致每个相应资源达到一定水平的工作负载特征来执行容量规划。

16. 发明申请

US20080134209A1 AUTOMATED GROUPING OF MESSAGES PROVIDED TO AN APPLICATION USING STRING SIMILARITY ANALYSIS 有权
标题翻译：使用STRING相似性分析对应用程序提供的信息进行自动分组
公开(公告)号：US20080134209A1
公开(公告)日：2008-06-05
申请号：US11565730
申请日：2006-12-01
申请人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark J. Addleman
IPC分类号： G06F9/44
CPC分类号： G06F11/3612 , H04L67/02 , H04L67/28 , H04L67/2833 , Y10S707/99936
摘要： Messages which are provided to an application are monitored. Similarities between the messages are determined based on a distance algorithm, in one approach, and messages which are similar are assigned to a common group. For example, the messages may be HTTP messages which include a URL, HTTP header parameters and/or HTTP post parameters. The messages are parsed to derive a string which is used in the distance calculations. Additionally, application runtime data such as response times is obtained and aggregated for the group. Further, a representative message can be determined for each group for comparison to subsequent messages. Results can be reported which include a group identifier, representative message, count and aggregated runtime data.
摘要翻译：监控提供给应用程序的消息。在一种方法中，基于距离算法确定消息之间的相似性，并且将相似的消息分配给公共组。例如，消息可以是包括URL，HTTP头参数和/或HTTP post参数的HTTP消息。消息被解析以导出在距离计算中使用的字符串。另外，应用程序运行时数据（如响应时间）可以为组获取和聚合。此外，可以为每个组确定代表性消息以与后续消息进行比较。可以报告结果，其中包括组标识符，代表性消息，计数和聚合的运行时数据。

17. 发明申请

US20080109684A1 BASELINING BACKEND COMPONENT RESPONSE TIME TO DETERMINE APPLICATION PERFORMANCE 有权
标题翻译：基准组件响应时间来确定应用性能
公开(公告)号：US20080109684A1
公开(公告)日：2008-05-08
申请号：US11559750
申请日：2006-11-14
申请人： Mark Jacob Addleman , David Isaiah Seidman , John B. Bley , Carl Seglem
发明人： Mark Jacob Addleman , David Isaiah Seidman , John B. Bley , Carl Seglem
IPC分类号： G06F11/30 , G06F11/00
CPC分类号： G06F11/3447 , G06F11/3419 , G06F2201/88
摘要： Deviation of expected response times is used to characterize the health of one or more backend machines invoked by an application to process a request. Performance data generated in response to monitoring application execution is processed to select backend response time data. The selected data is processed to predict future values of a time series associated with backend response time. The predicted response time values are compared to actual response time values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of response times is then reported to a user through an interface in a simple manner.
摘要翻译：预期响应时间的偏差用于表征应用程序调用以处理请求的一个或多个后端机器的运行状况。响应于监视应用执行而生成的性能数据被处理以选择后端响应时间数据。所选择的数据被处理以预测与后端响应时间相关联的时间序列的未来值。将预测的响应时间值与时间序列中的实际响应时间值进行比较，以确定与预测值的偏差。响应时间的时间序列数据的偏差信息则以简单的方式通过接口向用户报告。

18. 发明授权

US08612573B2 Automatic and dynamic detection of anomalous transactions 有权
标题翻译：异常交易的自动和动态检测
公开(公告)号：US08612573B2
公开(公告)日：2013-12-17
申请号：US12200784
申请日：2008-08-28
申请人： David Isaiah Seidman , Jyoti Kumar Bansal
发明人： David Isaiah Seidman , Jyoti Kumar Bansal
IPC分类号： G06F15/173
CPC分类号： G06F11/3466 , G06F11/3419 , G06F2201/865 , G06F2201/87
摘要： Anomalous transactions are identified and reported. Transactions are monitored from the server at which they are performed. A baseline is dynamically determined for transaction performance based on recent performance data for the transaction. The more recent performance data may be given a greater weight than less recent performance data. Anomalous transactions are then identified based on comparing the actual transaction performance to the baseline for the transaction. An agent installed on an application server performing the transaction receives monitoring data, determines baseline data, and identifies anomalous transactions. For each anomalous transaction, transaction performance data and other data is reported.
摘要翻译：识别和报告异常交易。从执行它们的服务器监视事务。根据交易的最新性能数据，为事务性能动态确定基准。更近的性能数据可能被赋予比较近的性能数据更大的权重。然后通过将实际交易绩效与交易的基准进行比较来确定异常交易。安装在执行事务的应用服务器上的代理接收监视数据，确定基线数据，并识别异常事务。对于每个异常事务，报告事务性能数据和其他数据。

19. 发明授权

US07818418B2 Automatic root cause analysis of performance problems using auto-baselining on aggregated performance metrics 有权
标题翻译：使用自动基准线对聚合性能指标进行自动根本原因分析性能问题
公开(公告)号：US07818418B2
公开(公告)日：2010-10-19
申请号：US11688475
申请日：2007-03-20
申请人： Jyoti Kumar Bansal , David Isaiah Seidman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman
IPC分类号： G06F15/173
CPC分类号： H04L43/16 , H04L43/06 , H04L43/0852
摘要： Anomalous behavior in a distributed system is automatically detected. Metrics are gathered for transactions, subsystems and/or components of the subsystems. The metrics can identify response times, error counts and/or CPU loads, for instance. Baseline metrics and associated deviation ranges are automatically determined and can be periodically updated. Metrics from specific transactions are compared to the baseline metrics to determine if an anomaly has occurred. A drill down approach can be used so that metrics for a subsystem are not examined unless the metrics for an associated transaction indicate an anomaly. Further, metrics for a component, application which includes one or more components, or process which includes one or more applications, are not examined unless the metrics for an associated subsystem indicate an anomaly. Multiple subsystems can report the metrics to a central manager, which can correlate the metrics to transactions using transaction identifiers or other transaction context data.
摘要翻译：自动检测分布式系统中的异常行为。为子系统的事务，子系统和/或组件收集度量标准。例如，度量可以标识响应时间，错误计数和/或CPU负载。基线指标和相关偏差范围自动确定，并可定期更新。将特定事务的度量与基准度量进行比较，以确定是否发生异常。可以使用向下钻取方法，以便不对子系统的度量进行检查，除非相关事务的度量标准表示异常。此外，除非相关联的子系统的度量指示异常，否则不检查包括一个或多个组件的组件，应用程序的度量或包括一个或多个应用程序的过程。多个子系统可以将度量报告给中央管理器，其可以使用事务标识符或其他事务上下文数据将度量与事务相关联。

20. 发明授权

US07676706B2 Baselining backend component response time to determine application performance 有权
标题翻译：基于后端组件的响应时间来确定应用程序性能
公开(公告)号：US07676706B2
公开(公告)日：2010-03-09
申请号：US11559750
申请日：2006-11-14
申请人： Mark Jacob Addleman , David Isaiah Seidman , John B. Bley , Carl Seglem
发明人： Mark Jacob Addleman , David Isaiah Seidman , John B. Bley , Carl Seglem
IPC分类号： G06F11/00
CPC分类号： G06F11/3447 , G06F11/3419 , G06F2201/88
摘要： Deviation of expected response times is used to characterize the health of one or more backend machines invoked by an application to process a request. Performance data generated in response to monitoring application execution is processed to select backend response time data. The selected data is processed to predict future values of a time series associated with backend response time. The predicted response time values are compared to actual response time values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of response times is then reported to a user through an interface in a simple manner.
摘要翻译：预期响应时间的偏差用于表征应用程序调用以处理请求的一个或多个后端机器的运行状况。响应于监视应用执行而生成的性能数据被处理以选择后端响应时间数据。所选择的数据被处理以预测与后端响应时间相关联的时间序列的未来值。将预测的响应时间值与时间序列中的实际响应时间值进行比较，以确定与预测值的偏差。响应时间的时间序列数据的偏差信息则以简单的方式通过接口向用户报告。

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