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1. 发明授权

US08812464B2 Content management system and method of managing retention and disposition of content items 有权
标题翻译：内容管理系统和管理内容项目的保留和处理方法
公开(公告)号：US08812464B2
公开(公告)日：2014-08-19
申请号：US13484019
申请日：2012-05-30
申请人： Govinda Raj Sambamurthy , Hari Charan Ramachandra Rao
发明人： Govinda Raj Sambamurthy , Hari Charan Ramachandra Rao
IPC分类号： G06F7/00 , G06F17/00
CPC分类号： G06F17/30011 , G06F2216/09 , G06Q30/0201
摘要： In specific embodiments, a content management system operable on one or more microprocessors comprises a content repository storing a plurality of content items and a content usage analyzer. The computer is usable to perform one or more operations on one or more contents items stored in the content repository, and when an operation is performed on a content item, audit data is captured related to the operation. The content usage analyzer is configured to identify an idle content item within the content repository based on the captured audit data.
摘要翻译：在具体实施例中，可在一个或多个微处理器上操作的内容管理系统包括存储多个内容项目的内容存储库和内容使用分析器。计算机可用于对存储在内容存储库中的一个或多个内容项目执行一个或多个操作，并且当对内容项执行操作时，捕获与该操作相关的审计数据。内容使用分析器被配置为基于所捕获的审计数据来识别内容存储库内的空闲内容项目。

2. 发明授权

US09659041B2 Model for capturing audit trail data with reduced probability of loss of critical data 有权
公开(公告)号：US09659041B2
公开(公告)日：2017-05-23
申请号：US13360822
申请日：2012-01-30
申请人： Govinda Raj Sambamurthy , Hari Charan Ramachandra Rao , Viswanath Pasupuleti
发明人： Govinda Raj Sambamurthy , Hari Charan Ramachandra Rao , Viswanath Pasupuleti
IPC分类号： G06F17/30 , G06F11/34
CPC分类号： G06F17/30309 , G06F11/3476
摘要： An aspect of the present invention provides for capturing of audit trail data related to processing of requests. In an embodiment, the received requests are classified into a first category and a second category. For each request in the first category, the corresponding audit trail data is stored directly into non-volatile storage upon processing of the request. On the other hand, for each request in the second category, the audit trail data is first stored into a volatile memory upon processing of the request, and then later copied from the volatile memory to non-volatile storage. Thus, the audit trail data corresponding to both categories of requests is eventually available stored on non-volatile storage.

3. 发明授权

US08924336B2 Feature and deployment recommendation systems and methods for content management systems to provide recommendations for enhanced feature usage based on usage patterns 有权
标题翻译：内容管理系统的特征和部署推荐系统和方法，以提供基于使用模式的增强功能使用的建议
公开(公告)号：US08924336B2
公开(公告)日：2014-12-30
申请号：US13542392
申请日：2012-07-05
申请人： Hari Charan Ramachandra Rao , Chandrasekhar Atla , Govinda Raj Sambamurthy
发明人： Hari Charan Ramachandra Rao , Chandrasekhar Atla , Govinda Raj Sambamurthy
IPC分类号： G06N5/02 , G06Q10/06
CPC分类号： G06N5/02 , G06Q10/06 , G06Q10/10
摘要： Feature and deployment recommendation systems and methods for content management systems comprises a vendor-site deployment and one or more customer-site deployments. The vendor-site deployment is configured to recommend an adaptation of any of the one or more customer-site deployments. The vendor-site deployment including a customer configuration repository adapted to store content usage metrics received from one or more customer-site deployments, an analytical engine configured to generate content usage patterns based on the stored content usage metrics, and a recommendation engine configured to recommend the adaptation.
摘要翻译：内容管理系统的特征和部署推荐系统和方法包括供应商站点部署和一个或多个客户站点部署。供应商站点部署被配置为推荐对一个或多个客户站点部署中的任何一个的适配。所述供应商站点部署包括适于存储从一个或多个客户站点部署接收的内容使用度量的客户配置存储库，被配置为基于所存储的内容使用度量来生成内容使用模式的分析引擎，以及被配置为推荐的推荐引擎适应。

4. 发明授权

US08631280B2 Method of measuring and diagnosing misbehaviors of software components and resources 有权
标题翻译：测量和诊断软件组件和资源的不当行为的方法
公开(公告)号：US08631280B2
公开(公告)日：2014-01-14
申请号：US13009777
申请日：2011-01-19
申请人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Ashwin Kumar Karkala , Sandeep Pandita
发明人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Ashwin Kumar Karkala , Sandeep Pandita
IPC分类号： G06F11/00
CPC分类号： G06F11/366
摘要： Systems and methods are described for diagnosing behavior of software components in an application server. The application server can comprise a plurality of components that process incoming requests. A diagnostics advisor can be deployed with the application server and can determine an efficiency and/or inefficiency of each of the components of the application server or other middleware system. The efficiency determined by computing a ratio of the number of requests that completed execution during a particular sampling time period to the number of requests that were received. The inefficiency is the ratio of the number of requests that are still being executed at the end of the sampling time period to the number of requests that were received. The diagnostics advisor employs the determined efficiency and/or inefficiency to diagnose a misbehavior or other problem of the components in the application server.
摘要翻译：描述了用于诊断应用服务器中软件组件的行为的系统和方法。应用服务器可以包括处理传入请求的多个组件。诊断顾问可以与应用程序服务器部署，并且可以确定应用程序服务器或其他中间件系统的每个组件的效率和/或低效率。通过计算在特定采样时间段内完成执行的请求的数量与接收到的请求数量的比率来确定的效率。低效率是在采样时间段结束时仍然执行的请求数与接收到的请求数之间的比例。诊断顾问采用确定的效率和/或低效率来诊断应用服务器中组件的不当行为或其他问题。

5. 发明授权

US08627150B2 System and method for using dependency in a dynamic model to relate performance problems in a complex middleware environment 有权
标题翻译：在动态模型中使用依赖关系的系统和方法将复杂中间件环境中的性能问题相关联
公开(公告)号：US08627150B2
公开(公告)日：2014-01-07
申请号：US13009788
申请日：2011-01-19
申请人： Govinda Raj Sambamurthy , Raji Sankar , Rahul Goyal , Ashwin Kumar Karkala
发明人： Govinda Raj Sambamurthy , Raji Sankar , Rahul Goyal , Ashwin Kumar Karkala
IPC分类号： G06F11/00
CPC分类号： G06F11/079 , G06F11/3409
摘要： A method of isolating relevant components associated with a performance problem. The method comprises creating a static model of a system under test, including determining relationships between components in a middleware system. The method also comprises creating a dynamic problem tree by applying the static model to the system at runtime. The method further comprises identifying a link probability for each relationship in the dynamic problem tree; and traversing the dynamic problem tree to detect redundant components. A component is redundant if it has a link probability with its downstream component greater than a pre-determined threshold value. The method also comprises removing redundant components from the dynamic problem tree; and returning a set of components which are potential components to be analyzed further to determine the root causes of the performance problem.
摘要翻译：分离与性能问题相关的相关组件的方法。该方法包括创建被测系统的静态模型，包括确定中间件系统中组件之间的关系。该方法还包括通过在运行时将静态模型应用于系统来创建动态问题树。该方法还包括识别动态问题树中每个关系的链路概率; 并遍历动态问题树以检测冗余组件。如果组件具有其下游组件大于预定阈值的链路概率，则组件是冗余的。该方法还包括从动态问题树中删除冗余组件; 并返回一组作为进一步分析的潜在组件的组件，以确定性能问题的根本原因。

6. 发明授权

US09600523B2 Efficient data collection mechanism in middleware runtime environment 有权
公开(公告)号：US09600523B2
公开(公告)日：2017-03-21
申请号：US13009781
申请日：2011-01-19
申请人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Vinay Kumar Jaasti
发明人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Vinay Kumar Jaasti
IPC分类号： G06F17/30 , G06F11/34
CPC分类号： G06F17/30489 , G06F11/3409 , G06F11/3495 , G06F2201/81 , G06F2201/865
摘要： A mechanism for efficient collection of data is described for runtime middleware environments. Two frequencies are used, a collection frequency (CF) to collect the data and an aggregation frequency (AF) to aggregate and persist the data in a repository. The collection cycle is a shorter time interval than the aggregation cycle. An agent residing in the container periodically collects a set of data upon every collection cycle from the components of the middleware system and caches the set of data locally. Upon every aggregation cycle, the agent applies an aggregation function to the collected set of data and persists the set of data into a repository after the aggregation function has been applied. The aggregation function is such that it resulting data represents the behavior of the runtime environment in the total duration of the aggregation cycle.

7. 发明申请

US20120185736A1 SYSTEM AND METHOD FOR USING DEPENDENCY IN A DYNAMIC MODEL TO RELATE PERFORMANCE PROBLEMS IN A COMPLEX MIDDLEWARE ENVIRONMENT 有权
标题翻译：在动态模型中使用依赖关系的复杂中间环境中的性能问题的系统和方法
公开(公告)号：US20120185736A1
公开(公告)日：2012-07-19
申请号：US13009788
申请日：2011-01-19
申请人： Govinda Raj Sambamurthy , Raji Sankar , Rahul Goyal , Ashwin Kumar Karkala
发明人： Govinda Raj Sambamurthy , Raji Sankar , Rahul Goyal , Ashwin Kumar Karkala
IPC分类号： G06F11/34
CPC分类号： G06F11/079 , G06F11/3409
摘要： A method of isolating relevant components associated with a performance problem. The method comprises creating a static model of a system under test, including determining relationships between components in a middleware system. The method also comprises creating a dynamic problem tree by applying the static model to the system at runtime. The method further comprises identifying a link probability for each relationship in the dynamic problem tree; and traversing the dynamic problem tree to detect redundant components. A component is redundant if it has a link probability with its downstream component greater than a pre-determined threshold value. The method also comprises removing redundant components from the dynamic problem tree; and returning a set of components which are potential components to be analyzed further to determine the root causes of the performance problem.
摘要翻译：分离与性能问题相关的相关组件的方法。该方法包括创建被测系统的静态模型，包括确定中间件系统中组件之间的关系。该方法还包括通过在运行时将静态模型应用于系统来创建动态问题树。该方法还包括识别动态问题树中每个关系的链路概率; 并遍历动态问题树以检测冗余组件。如果组件具有其下游组件大于预定阈值的链路概率，则组件是冗余的。该方法还包括从动态问题树中删除冗余组件; 并返回一组作为进一步分析的潜在组件的组件，以确定性能问题的根本原因。

8. 发明授权

US09064097B2 System and method of automatically detecting outliers in usage patterns 有权
标题翻译：自动检测使用模式中异常值的系统和方法
公开(公告)号：US09064097B2
公开(公告)日：2015-06-23
申请号：US13490069
申请日：2012-06-06
申请人： Govinda Raj Sambamurthy
发明人： Govinda Raj Sambamurthy
IPC分类号： G06F21/00 , G06F21/10
CPC分类号： G06F21/10
摘要： A system and method for detecting an outlier in a usage pattern comprises a computer accessible to perform an operation. The system includes an audit forensics engine having an outlier detection module. When an instance occurs where the operation is performed, audit trail data is captured related to the operation. The outlier detection module determines for the instance where the operation is performed whether the instance is an outlier in a usage pattern based on a comparison of the audit trail data to the usage pattern.
摘要翻译：用于检测使用模式中的异常值的系统和方法包括可执行操作的计算机。该系统包括具有异常值检测模块的审核取证引擎。当发生执行操作的实例时，捕获与操作有关的审计跟踪数据。离群值检测模块基于审计跟踪数据与使用模式的比较来确定执行操作的实例是否是使用模式中的异常值。

9. 发明申请

US20120185732A1 METHOD OF MEASURING AND DIAGNOSING MISBEHAVIORS OF SOFTWARE COMPONENTS AND RESOURCES 有权
标题翻译：测量和诊断软件组件和资源缺失的方法
公开(公告)号：US20120185732A1
公开(公告)日：2012-07-19
申请号：US13009777
申请日：2011-01-19
申请人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Ashwin Kumar Karkala , Sandeep Pandita
发明人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Ashwin Kumar Karkala , Sandeep Pandita
IPC分类号： G06F11/36
CPC分类号： G06F11/366
摘要： Systems and methods are described for diagnosing behavior of software components in an application server. The application server can comprise a plurality of components that process incoming requests. A diagnostics advisor can be deployed with the application server and can determine an efficiency and/or inefficiency of each of the components of the application server or other middleware system. The efficiency determined by computing a ratio of a number of requests that completed execution in the component during a particular sampling time period to the number of requests that were received by the component during the sampling time period. The inefficiency is the inverse of efficiency, i.e. it is a ratio of the number of requests that are still being executed by the one or more components at the end of the sampling time period to the number of requests that were received by the one or more components during the sampling time period. The diagnostics advisor employs the determined efficiency and/or inefficiency to diagnose a misbehavior or other problem of the components in the application server.
摘要翻译：描述了用于诊断应用服务器中软件组件的行为的系统和方法。应用服务器可以包括处理传入请求的多个组件。诊断顾问可以与应用程序服务器部署，并且可以确定应用程序服务器或其他中间件系统的每个组件的效率和/或低效率。通过计算在特定采样时间段期间完成部件中的执行的请求的数量与在采样时间段期间由部件接收的请求的数量的比率而确定的效率。低效率是效率的倒数，即它是在采样时间段结束时仍由一个或多个组件执行的请求数与由一个或多个接收到的请求的数量的比率组件在采样时间段内。诊断顾问采用确定的效率和/或低效率来诊断应用服务器中组件的不当行为或其他问题。

10. 发明申请

US20120185441A1 EFFICIENT DATA COLLECTION MECHANISM IN MIDDLEWARE RUNTIME ENVIRONMENT 有权
标题翻译：中间件运行环境中的有效数据收集机制
公开(公告)号：US20120185441A1
公开(公告)日：2012-07-19
申请号：US13009781
申请日：2011-01-19
申请人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Vinay Kumar Jaasti
发明人： Raji Sankar , Govinda Raj Sambamurthy , Rahul Goyal , Vinay Kumar Jaasti
IPC分类号： G06F17/30
CPC分类号： G06F17/30489 , G06F11/3409 , G06F11/3495 , G06F2201/81 , G06F2201/865
摘要： A mechanism for efficient collection of data is described for runtime middleware environments. Two frequencies are used, a collection frequency (CF) to collect the data and an aggregation frequency (AF) to aggregate and persist the data in a repository. The collection cycle is a shorter time interval than the aggregation cycle. An agent residing in the container periodically collects a set of data upon every collection cycle from the components of the middleware system and caches the set of data locally. Upon every aggregation cycle, the agent applies an aggregation function to the collected set of data and persists the set of data into a repository after the aggregation function has been applied. The aggregation function is such that it resulting data represents the behavior of the runtime environment in the total duration of the aggregation cycle.
摘要翻译：为运行时中间件环境描述了一种有效收集数据的机制。使用两个频率，收集数据的收集频率（CF）和聚合频率（AF）以将数据聚合并保存在存储库中。收集周期比聚合周期短的时间间隔。驻留在容器中的代理在每个收集循环中定期从中间件系统的组件收集一组数据，并在本地缓存该组数据。在每个聚合周期中，代理将聚合函数应用于收集的数据集，并在应用聚合函数之后将该组数据保留在存储库中。汇总功能使得其结果数据表示在聚合周期的总持续时间内运行时环境的行为。

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