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21. 发明申请

US20080134205A1 AUTOMATED GROUPING OF MESSAGES PROVIDED TO AN APPLICATION USING EXECUTION PATH SIMILARITY ANALYSIS 有权
标题翻译：使用执行路径相似性分析为应用提供的信息的自动分组
公开(公告)号：US20080134205A1
公开(公告)日：2008-06-05
申请号：US11565723
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： G06F9/46
CPC分类号： G06F11/3612 , G06F11/3409 , G06F11/3447 , G06F2201/87 , G06F2201/875
摘要： An application is monitored to identify different execution paths, e.g., sequences of invoked components, which occur due to the receipt of messages by the application. Similarities between the execution paths are determined based on a distance algorithm, in one approach, and execution paths which are similar are assigned to a common group. Additionally, application runtime data such as response times is obtained for the execution paths and aggregated for the group. The messages can also be grouped based on the grouping of the execution paths. Further, a representative execution path can be determined for each execution path group for comparison to subsequent execution paths. A representative message can similarly be determined for each message group. Results can be reported which include a group identifier, representative message, representative execution path, count, and aggregated runtime data.
摘要翻译：监视应用程序以识别不同的执行路径，例如由于应用程序接收到消息而发生的被调用组件的序列。在一种方法中，基于距离算法确定执行路径之间的相似性，并且将相似的执行路径分配给公共组。此外，获取应用程序运行时数据，例如响应时间，用于执行路径并为组聚合。消息也可以基于执行路径的分组来分组。此外，可以为每个执行路径组确定代表执行路径，以便与后续执行路径进行比较。可以类似地为每个消息组确定代表消息。可以报告包括组标识符，代表性消息，代表性执行路径，计数和聚合运行时数据的结果。

22. 发明授权

US09740991B2 Calculating in-flight metrics for non-interruptible business transactions 有权
公开(公告)号：US09740991B2
公开(公告)日：2017-08-22
申请号：US11963183
申请日：2007-12-21
申请人： David Isaiah Seidman
发明人： David Isaiah Seidman
IPC分类号： G06Q10/10 , G06Q10/06
CPC分类号： G06Q10/06 , G06Q10/0639
摘要： Metrics are calculated from information acquired during execution of transactions for transactions that cannot be identified during execution. In-flight or execution related metrics are grouped by transaction type and time period. The transaction name is associated with the metrics once the transaction has completed, and data is reported for the time period once all transactions executing in that time period have completed. When a transaction has completed execution, in-flight metrics may be determined for the transaction for each time period in which other transactions executing in that time period have completed. When all transactions executing during a particular time period are complete, the in-flight metrics for transactions executing during that time period are determined and stored. The in-flight metrics may include concurrency, stalls and other data.

23. 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。

24. 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。

25. 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。

26. 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。

27. 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。

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