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1. 发明授权

US08332388B2 Transformation rule profiling for a query optimizer 有权
标题翻译：用于查询优化器的转换规则概要分析
公开(公告)号：US08332388B2
公开(公告)日：2012-12-11
申请号：US12818237
申请日：2010-06-18
申请人： Surajit Chaudhuri , Leo Giakoumakis , Vivek Narasayya , Ravi Ramamurthy
发明人： Surajit Chaudhuri , Leo Giakoumakis , Vivek Narasayya , Ravi Ramamurthy
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30463
摘要： Technology is described for transformation rule profiling for a query optimizer. The method can include obtaining a database query configured to be optimized by the query optimizer of a database system. An optimized query plan for the database query can be found using a host set of transformation rules. One transformation rule can be removed and checked at a time. Each transformation rule can be checked to determine whether the transformation rule affects an optimal query plan output. A test query plan can be generated after each transformation rule has been removed. The query optimizer can determine whether the test query plan is different than the optimized query plan in the absence of the removed transformation rule. An equivalent set of transformation rules can be created that includes transformation rules where the test query plan generated from the equivalent set of transformation rules is equivalent to the optimized plan.
摘要翻译：描述技术用于查询优化器的转换规则剖析。该方法可以包括获得配置为由数据库系统的查询优化器优化的数据库查询。可以使用主机转换规则集查找数据库查询的优化查询计划。一次可以删除和检查一个转换规则。可以检查每个变换规则以确定变换规则是否影响最优查询计划输出。每个转换规则已被删除后，可以生成测试查询计划。在没有删除的转换规则的情况下，查询优化器可以确定测试查询计划是否与优化的查询计划不同。可以创建一组等效的转换规则，其中包括转换规则，其中从等效转换规则集生成的测试查询计划等同于优化的计划。

2. 发明申请

US20110314000A1 TRANSFORMATION RULE PROFILING FOR A QUERY OPTIMIZER 有权
标题翻译：用于查询优化器的变换规则轮廓
公开(公告)号：US20110314000A1
公开(公告)日：2011-12-22
申请号：US12818237
申请日：2010-06-18
申请人： Surajit Chaudhuri , Leo Giakoumakis , Vivek Narasayya , Ravi Ramamurthy
发明人： Surajit Chaudhuri , Leo Giakoumakis , Vivek Narasayya , Ravi Ramamurthy
IPC分类号： G06F17/30
CPC分类号： G06F17/30463
摘要： Technology is described for transformation rule profiling for a query optimizer. The method can include obtaining a database query configured to be optimized by the query optimizer of a database system. An optimized query plan for the database query can be found using a host set of transformation rules. One transformation rule can be removed and checked at a time. Each transformation rule can be checked to determine whether the transformation rule affects an optimal query plan output. A test query plan can be generated after each transformation rule has been removed. The query optimizer can determine whether the test query plan is different than the optimized query plan in the absence of the removed transformation rule. An equivalent set of transformation rules can be created that includes transformation rules where the test query plan generated from the equivalent set of transformation rules is equivalent to the optimized plan.
摘要翻译：描述技术用于查询优化器的转换规则剖析。该方法可以包括获得配置为由数据库系统的查询优化器优化的数据库查询。可以使用主机转换规则集查找数据库查询的优化查询计划。一次可以删除和检查一个转换规则。可以检查每个变换规则以确定变换规则是否影响最优查询计划输出。每个转换规则已被删除后，可以生成测试查询计划。在没有删除的转换规则的情况下，查询优化器可以确定测试查询计划是否与优化的查询计划不同。可以创建一组等效的转换规则，其中包括转换规则，其中从等效转换规则集生成的测试查询计划等同于优化的计划。

3. 发明申请

US20120330925A1 OPTIMIZING FINE GRAINED ACCESS CONTROL USING AUTHORIZATION INDEXES 审中-公开
标题翻译：使用授权索引优化精细粒度访问控制
公开(公告)号：US20120330925A1
公开(公告)日：2012-12-27
申请号：US13166828
申请日：2011-06-23
申请人： Ravi Ramamurthy , Raghav Kaushik , Abhijeet Mohapatra
发明人： Ravi Ramamurthy , Raghav Kaushik , Abhijeet Mohapatra
IPC分类号： G06F17/30
CPC分类号： G06F16/24534
摘要： Architecture that is an index mechanism which optimizes complex queries that result from enforcing fine grained access control. The architecture addresses the problem of efficient query evaluation in the presence of fine grained access control. The index mechanism is a structure (referred to as authorization indexes) which provides expedient access to the authorized tuples of a particular user in a table. The index is maintained by utilizing view maintenance algorithms. The index can be built for only certain groups/roles (referred to as partial authorization indexes). Additionally, the authorization index can be used to create a cost-based query rewriter, as well as authorization-aware query optimizer.
摘要翻译：架构是一种索引机制，可以优化执行精细访问控制所产生的复杂查询。该架构解决了在存在细粒度访问控制的情况下高效查询评估的问题。索引机制是一种结构（称为授权索引），可以方便地访问表中特定用户的授权元组。该索引通过利用视图维护算法来维护。索引可以仅针对某些组/角色构建（称为部分授权索引）。此外，授权索引可用于创建基于成本的查询重写器以及授权感知查询优化器。

4. 发明申请

US20050144150A1 Remote process capture, identification, cataloging and modeling 审中-公开
标题翻译：远程进程捕获，识别，编目和建模
公开(公告)号：US20050144150A1
公开(公告)日：2005-06-30
申请号：US10748970
申请日：2003-12-30
申请人： Shankar Ramamurthy , Ravi Ramamurthy , Chandrashekar Ramamurthy
发明人： Shankar Ramamurthy , Ravi Ramamurthy , Chandrashekar Ramamurthy
IPC分类号： G06F7/00 , G06F7/60 , G06F15/18 , G06F17/00 , G06F17/10 , G06G7/00 , G06N5/00 , G06N5/02 , G06Q10/00
CPC分类号： G06N5/022 , G06Q10/06
摘要： A system and method for remote capture, identification, cataloging, and modeling of processes remotely captures the processes performed by a user on a machine, for example, a computer. Capture may include capturing input to the computer and manual tasks via video and/or audio capture. The tasks are identified, cataloged and stored. Modeling is possible by streaming the captured data back to a computer. The captured data may be edited and the edited versions compared or benchmarked by performing simulations of each.
摘要翻译：用于远程捕获，识别，编目和进程建模的系统和方法远程捕获用户在机器（例如计算机）上执行的进程。捕获可能包括通过视频和/或音频捕获捕获输入到计算机和手动任务。任务被识别，编目和存储。通过将捕获的数据流式传输回计算机进行建模是可能的。捕获的数据可以通过对每个数据的模拟进行编辑和编辑的版本进行比较或基准测试。

5. 发明申请

US20060184410A1 SYSTEM AND METHOD FOR CAPTURE OF USER ACTIONS AND USE OF CAPTURE DATA IN BUSINESS PROCESSES 审中-公开
标题翻译：用于捕获用户操作的系统和方法以及在业务流程中使用捕获数据
公开(公告)号：US20060184410A1
公开(公告)日：2006-08-17
申请号：US11306074
申请日：2005-12-15
申请人： Shankar Ramamurthy , Christopher Beall , Hitesh Shah , Rahul Saxena , Nagesh Vempaty , Rajan Gangadharan , Ravi Ramamurthy , Chandrashekar Ramamurthy
发明人： Shankar Ramamurthy , Christopher Beall , Hitesh Shah , Rahul Saxena , Nagesh Vempaty , Rajan Gangadharan , Ravi Ramamurthy , Chandrashekar Ramamurthy
IPC分类号： G05B19/418
CPC分类号： G06Q10/10
摘要： Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.
摘要翻译：公开了用于捕获代表与台式计算机的用户交互的数据的系统和方法，以及处理捕获数据以识别和分析由用户执行的业务处理。所公开的系统包括捕获关键致动，鼠标点击，屏幕信息和代表用户与台式计算机交互的其他数据的听众。提供桌面观察器以接收来自侦听器的捕获数据，如有必要，临时存储捕获数据，并将捕获数据传递到过程智能服务器。过程智能服务器包括过程发现模块，分析捕获数据并识别与捕获数据相对应的业务流程，或模拟业务流程。提供过程数据主存储。提供流程分析模块，以确定存储在流程主存储中的数据的性能指标，最佳做法，应用程序生产率影响，合规性和优化分析。公开了捕获，目录，组合，相关，变更，压缩和认证的方法。

6. 发明申请

US20050147946A1 Automatic object generation and user interface identification 审中-公开
标题翻译：自动对象生成和用户界面识别
公开(公告)号：US20050147946A1
公开(公告)日：2005-07-07
申请号：US10749423
申请日：2003-12-31
申请人： Shankar Ramamurthy , Ravi Ramamurthy , Chandrashekar Ramamurthy
发明人： Shankar Ramamurthy , Ravi Ramamurthy , Chandrashekar Ramamurthy
IPC分类号： G06F17/00 , G06N5/02 , G06N5/04 , G06Q99/00 , G09B19/00
CPC分类号： G06N5/04 , G06Q99/00
摘要： A method and system for generating knowledge objects from captured process data and identification of user interface information includes knowledge object logic, knowledge object content, knowledge object presentation and knowledge object deployment. After capture of process data, analysis of the process is performed. The context of the process is defined, the best practices are identified, and process documentation and training on the process is performed through an interface. Once these elements are prepared as templates, they are deployed to a user to permit even an untrained user to perform the process as if the user were an expert.
摘要翻译：用于从捕获的过程数据生成知识对象并识别用户界面信息的方法和系统包括知识对象逻辑，知识对象内容，知识对象呈现和知识对象展开。捕获过程数据后，进行该过程的分析。定义过程的上下文，确定最佳实践，并通过接口执行流程文档和过程培训。一旦这些元素被准备为模板，它们被部署到用户以允许甚至未经训练的用户执行该过程，如同该用户是专家一样。

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