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1. 发明授权

US07917911B2 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自动分组提供给应用程序的消息
公开(公告)号：US07917911B2
公开(公告)日：2011-03-29
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： G06F15/163
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。

2. 发明授权

US07743380B2 Monitoring clustered software applications 有权
标题翻译：监控群集软件应用程序
公开(公告)号：US07743380B2
公开(公告)日：2010-06-22
申请号：US11040768
申请日：2005-01-21
申请人： David Isaiah Seidman , Piotr Findeisen
发明人： David Isaiah Seidman , Piotr Findeisen
IPC分类号： G06F9/46 , G06F9/44
CPC分类号： G06F11/3616 , G06F11/3466 , G06F2201/81 , G06F2201/865
摘要： Embodiments of the invention distribute profiling responsibilities for a clustered application to various instances of the application that generally run on different computer hosts. In an embodiment, the profiling responsibility is measured in terms of metrics wherein each profiling agent of an instance collects metrics about that instance. The metrics are prioritized and assigned to instances such that the highest priority metrics are assigned if possible. Each metric is associated with an expected performance overhead, and the assignment of metrics to an instance is done such that the performance overhead on that instance and/or host does not exceed a threshold. Other embodiments are also disclosed.
摘要翻译：本发明的实施例将集群应用的分布责任分配给通常在不同计算机主机上运行的应用的各种实例。在一个实施例中，分析责任是根据度量来衡量的，其中实例的每个分析代理收集关于该实例的度量。度量被优先排列并分配给实例，以便尽可能分配最高优先权度量。每个度量与期望的性能开销相关联，并且完成对实例的指标分配，使得该实例和/或主机上的性能开销不超过阈值。还公开了其他实施例。

3. 发明授权

US07673191B2 Baselining backend component error rate to determine application performance 有权
标题翻译：基于后端组件的错误率来确定应用程序性能
公开(公告)号：US07673191B2
公开(公告)日：2010-03-02
申请号：US11559755
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： G06F11/076 , G06F11/0709 , G06F11/0748 , G06F11/2294 , G06F11/3419 , G06F11/3447 , G06F11/3495 , G06F2201/87
摘要： Deviation of an expected error rate for a backend server invoked by an application to process a request is used to characterize the backend server health. Performance data generated in response to monitoring application execution is processed to select backend error rate data. The selected data is processed to predict future values of a time series associated with backend error rates. The predicted error rate values are compared to actual error rate values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of error rates is then reported to a user through an interface in a simplified manner.
摘要翻译：由应用程序调用以处理请求的后端服务器的预期错误率的偏差用于表征后端服务器运行状况。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错误率数据。处理所选数据以预测与后端错误率相关联的时间序列的未来值。将预测误差率值与时间序列中的实际误差率值进行比较，以确定与预测值的偏差。然后以简化的方式通过界面将错误率的时间序列数据的偏差信息报告给用户。

4. 发明申请

US20080147705A1 PREDICTING OUT OF MEMORY CONDITIONS USING SOFT REFERENCES 有权
标题翻译：使用软参考预测存储条件
公开(公告)号：US20080147705A1
公开(公告)日：2008-06-19
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： 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。

5. 发明授权

US08402468B2 Capacity planning based on resource utilization as a function of workload 有权
标题翻译：基于资源利用的容量规划作为工作负载的函数
公开(公告)号：US08402468B2
公开(公告)日：2013-03-19
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： G06F9/46 , G06F15/173
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。

6. 发明授权

US08024737B2 Method and a system that enables the calculation of resource requirements for a composite application 有权
标题翻译：方法和能够计算复合应用程序的资源需求的系统
公开(公告)号：US08024737B2
公开(公告)日：2011-09-20
申请号：US11410471
申请日：2006-04-24
申请人： William H. Blanding , Manosiz Bhattacharyya , Jerry James Harrow, Jr. , Glenna Mayo , David Isaiah Seidman
发明人： William H. Blanding , Manosiz Bhattacharyya , Jerry James Harrow, Jr. , Glenna Mayo , David Isaiah Seidman
IPC分类号： G06F9/46 , G06F15/173
CPC分类号： G06Q10/00 , G06F9/505 , H04L41/0896 , H04L41/5009 , H04L41/5019 , H04L43/08
摘要： Embodiments of the present invention that pertain to methods and systems for the calculation of resource requirements for a composite application are described. In one embodiment, information describing what component applications are associated with the composite application is received. Information describing metrics that are to be measured for the component applications is received. Information describing interrelationships between the component applications associated with the composite application is received. Information describing rules for calculating the resource requirements for the component applications is received. The rules are based on the interrelationships between the component applications and the metrics that are to be measured.
摘要翻译：描述了涉及用于计算复合应用的资源需求的方法和系统的本发明的实施例。在一个实施例中，接收描述与组合应用相关联的组件应用的信息。接收描述要针对组件应用程序测量的度量的信息。接收描述与复合应用程序相关联的组件应用程序之间的相互关系的信息。收到描述用于计算组件应用程序资源需求的规则的信息。这些规则基于组件应用程序和要测量的度量之间的相互关系。

7. 发明申请

US20090031066A1 CAPACITY PLANNING BY TRANSACTION TYPE 有权
标题翻译：通过交易类型进行能力规划
公开(公告)号：US20090031066A1
公开(公告)日：2009-01-29
申请号：US11782346
申请日：2007-07-24
申请人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark Jacob Addleman
发明人： Jyoti Kumar Bansal , David Isaiah Seidman , Mark Jacob Addleman
IPC分类号： G06F13/36
CPC分类号： G06F11/3476 , G06F9/5011 , G06F9/5027 , G06F9/5077 , G06F9/5083 , G06F11/3409 , G06F11/3419 , G06F2201/87 , G06F2209/5019 , G06F2209/508
摘要： Capacity planning is performed based on expected transaction load and the resource utilization for each expected transaction. Resource usage is determined for one or more transactions or URLs based on transaction specific and non-transaction specific resource usage. Once the resource usage for each transaction is known, the expected resource usage may be determined for an expected quantity of each transaction. The actual resources needed to meet the expected resource usage are then determined. Resources may include hardware or software, such as a central processing unit, memory, hard disk bandwidth, network bandwidth, and other computing system components. The expected resource usage for a transaction may based on the usage directly related to the transaction and usage not directly related to the transaction but part of a process associated with the performed transactions.
摘要翻译：基于预期的事务负载和每个预期事务的资源利用率进行容量规划。基于特定交易和非交易资源使用情况，为一个或多个交易或URL确定资源使用情况。一旦知道每个事务的资源使用情况，就可以针对每个事务的预期数量确定预期的资源使用情况。然后确定满足预期资源使用所需的实际资源。资源可以包括诸如中央处理单元，存储器，硬盘带宽，网络带宽和其他计算系统组件的硬件或软件。事务的预期资源使用可以基于与事务直接相关的使用和与事务直接相关的使用，而是与执行的事务相关联的过程的一部分。

8. 发明授权

US07434206B2 Identifying memory leaks in computer systems 有权
标题翻译：识别计算机系统中的内存泄漏
公开(公告)号：US07434206B2
公开(公告)日：2008-10-07
申请号：US11077826
申请日：2005-03-10
申请人： David Isaiah Seidman , Piotr Findeisen
发明人： David Isaiah Seidman , Piotr Findeisen
IPC分类号： G06F9/44 , G06F12/00
CPC分类号： G06F11/073 , G06F11/076 , G06F12/0253
摘要： Embodiments of the invention relate to identifying sources of memory leaks. In an embodiment, an agent collects information related to object allocations and de-allocations in accordance with a sampling period, and, based on the relationship between object allocations and de-allocations, the agent analyzes the data and reports the results. Other embodiments are also disclosed.
摘要翻译：本发明的实施例涉及识别内存泄漏的来源。在一个实施例中，代理根据采样周期收集与对象分配和去分配相关的信息，并且基于对象分配和去分配之间的关系，代理分析数据并报告结果。还公开了其他实施例。

9. 发明申请

US20080235365A1 AUTOMATIC ROOT CAUSE ANALYSIS OF PERFORMANCE PROBLEMS USING AUTO-BASELINING ON AGGREGATED PERFORMANCE METRICS 有权
标题翻译：自动根本原因分析使用自动基线对累积性能指标的性能问题
公开(公告)号：US20080235365A1
公开(公告)日：2008-09-25
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。

10. 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.

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