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公开(公告)号：US08788471B2
公开(公告)日：2014-07-22
申请号：US13483778
申请日：2012-05-30
IPC分类号： G06F17/30
CPC分类号： G06F17/30371 , G06F17/30008 , G06F17/303
摘要： A method for identifying matching transactions between two log files where each transaction includes one or more statements. Each log file record records the execution of a statement and includes a transaction identifier. Each record in turn in one log file is compared to an advancing window of records in the other log file. A first table contains associations of statements to transactions and transactions to statements for records in the window. If a match is found between a record in the one file and a record in the window, information associating partial transactions in the one file to potential transactions of the records in the window is added to a second table. If an end-of-transaction record is read from the one file, a best match is found between the ended transaction and the potential transactions based on information in the first and second tables.
摘要翻译： 一种用于识别两个日志文件之间的匹配事务的方法，其中每个事务包括一个或多个语句。 每个日志文件记录记录语句的执行并包括事务标识符。 将一个日志文件中的每个记录依次与其他日志文件中的前进记录窗口进行比较。 第一个表包含与事务和事务的语句关联到窗口中的记录的语句。 如果在一个文件中的记录和窗口中的记录之间找到匹配，则将一个文件中的部分事务与窗口中的记录的潜在事务关联的信息被添加到第二个表。 如果从一个文件读取结束交易记录，则基于第一和第二表中的信息，在结束的交易和潜在交易之间找到最佳匹配。
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公开(公告)号：US20130325826A1
公开(公告)日：2013-12-05
申请号：US13483778
申请日：2012-05-30
IPC分类号： G06F17/30
CPC分类号： G06F17/30371 , G06F17/30008 , G06F17/303
摘要： A method for identifying matching transactions between two log files where each transaction includes one or more statements. Each log file record records the execution of a statement and includes a transaction identifier. Each record in turn in one log file is compared to an advancing window of records in the other log file. A first table contains associations of statements to transactions and transactions to statements for records in the window. If a match is found between a record in the one file and a record in the window, information associating partial transactions in the one file to potential transactions of the records in the window is added to a second table. If an end-of-transaction record is read from the one file, a best match is found between the ended transaction and the potential transactions based on information in the first and second tables.
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公开(公告)号：US20130325829A1
公开(公告)日：2013-12-05
申请号：US13906374
申请日：2013-05-31
IPC分类号： G06F17/30
CPC分类号： G06F17/30371 , G06F17/30008 , G06F17/303
摘要： A method for identifying matching transactions between two log files where each transaction includes one or more statements. Each log file record records the execution of a statement and includes a transaction identifier. Each record in turn in one log file is compared to an advancing window of records in the other log file. A first table contains associations of statements to transactions and transactions to statements for records in the window. If a match is found between a record in the one file and a record in the window, information associating partial transactions in the one file to potential transactions of the records in the window is added to a second table. If an end-of-transaction record is read from the one file, a best match is found between the ended transaction and the potential transactions based on information in the first and second tables.
摘要翻译： 一种用于识别两个日志文件之间的匹配事务的方法，其中每个事务包括一个或多个语句。 每个日志文件记录记录语句的执行并包括事务标识符。 将一个日志文件中的每个记录依次与其他日志文件中的前进记录窗口进行比较。 第一个表包含与事务和事务的语句关联到窗口中的记录语句。 如果在一个文件中的记录和窗口中的记录之间找到匹配，则将一个文件中的部分事务与窗口中的记录的潜在事务关联的信息被添加到第二个表。 如果从一个文件读取结束交易记录，则基于第一和第二表中的信息，在结束的交易和潜在交易之间找到最佳匹配。
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4.发明授权Declarative specification of data integration workflows for execution on parallel processing platforms 有权用于并行处理平台执行的数据集成工作流的声明性规范公开(公告)号：US09361323B2
公开(公告)日：2016-06-07
申请号：US13252465
申请日：2011-10-04
申请人： Manoj K. Agarwal , Himanshu Gupta , Rajeev Gupta , Sanjeev K. Gupta , Mukesh K. Mohania , Sriram K. Padmanabhan , Prasan Roy
发明人： Manoj K. Agarwal , Himanshu Gupta , Rajeev Gupta , Sanjeev K. Gupta , Mukesh K. Mohania , Sriram K. Padmanabhan , Prasan Roy
CPC分类号： G06F17/30292 , G06F7/00 , G06F8/314 , G06F8/456 , G06F17/30
摘要： A system for receiving a declarative specification including a plurality of stages. Each stage specifies an atomic operation, a data input to the atomic operation, and a data output from the atomic operation. The data input is characterized by a data type. Links between at least two of the stages are generated to create a data integration workflow. The data integration workflow is compiled to generate computer code for execution on a parallel processing platform. The computer code configured to perform at least one of data preparation and data analysis.
摘要翻译： 一种用于接收包括多个级的声明性规范的系统。 每个阶段都指定一个原子操作，一个数据输入到原子操作，以及一个从原子操作输出的数据。 数据输入的特征在于数据类型。 生成至少两个阶段之间的链接以创建数据集成工作流。 数据集成工作流被编译成生成用于在并行处理平台上执行的计算机代码。 被配置为执行数据准备和数据分析中的至少一个的计算机代码。
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公开(公告)号：US08959519B2
公开(公告)日：2015-02-17
申请号：US13598280
申请日：2012-08-29
IPC分类号： G06F9/46
CPC分类号： G06F9/46 , G06F9/5066
摘要： Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.
摘要翻译： 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。
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6.发明授权Systems and methods for processing hierarchical data in a map-reduce framework 有权在map-reduce框架中处理分层数据的系统和方法公开(公告)号：US08677366B2
公开(公告)日：2014-03-18
申请号：US13118628
申请日：2011-05-31
CPC分类号： G06F9/46 , G06F9/5066
摘要： Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.
摘要翻译： 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。
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7.发明申请公开(公告)号：US20130086116A1
公开(公告)日：2013-04-04
申请号：US13252465
申请日：2011-10-04
申请人： Manoj K. Agarwal , Himanshu Gupta , Rajeev Gupta , Sanjeev K. Gupta , Mukesh K. Mohania , Sriram K. Padmanabhan , Prasan Roy
发明人： Manoj K. Agarwal , Himanshu Gupta , Rajeev Gupta , Sanjeev K. Gupta , Mukesh K. Mohania , Sriram K. Padmanabhan , Prasan Roy
IPC分类号： G06F7/00
CPC分类号： G06F17/30292 , G06F7/00 , G06F8/314 , G06F8/456 , G06F17/30
摘要： A method for receiving a declarative specification including a plurality of stages. Each stage specifies an atomic operation, a data input to the atomic operation, and a data output from the atomic operation. The data input is characterized by a data type. Links between at least two of the stages are generated to create a data integration workflow. The data integration workflow is compiled to generate computer code for execution on a parallel processing platform. The computer code configured to perform at least one of data preparation and data analysis.
摘要翻译： 一种用于接收包括多个级的声明性规范的方法。 每个阶段都指定一个原子操作，一个数据输入到原子操作，以及一个从原子操作输出的数据。 数据输入的特征在于数据类型。 生成至少两个阶段之间的链接以创建数据集成工作流。 数据集成工作流被编译成生成用于在并行处理平台上执行的计算机代码。 被配置为执行数据准备和数据分析中的至少一个的计算机代码。
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公开(公告)号：US20120324459A1
公开(公告)日：2012-12-20
申请号：US13598280
申请日：2012-08-29
IPC分类号： G06F9/46
CPC分类号： G06F9/46 , G06F9/5066
摘要： Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.
摘要翻译： 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。
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9.发明申请SYSTEMS AND METHODS FOR PROCESSING HIERARCHICAL DATA IN A MAP-REDUCE FRAMEWORK 有权在MAP-REDUCF框架中处理分层数据的系统和方法公开(公告)号：US20120311589A1
公开(公告)日：2012-12-06
申请号：US13118628
申请日：2011-05-31
IPC分类号： G06F9/46
CPC分类号： G06F9/46 , G06F9/5066
摘要： Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.
摘要翻译： 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。
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10.发明授权公开(公告)号：US09208005B2
公开(公告)日：2015-12-08
申请号：US13595690
申请日：2012-08-27
申请人： Manoj K. Agarwal
发明人： Manoj K. Agarwal
IPC分类号： G06T11/20 , G06F15/173 , G06F11/00 , H04L29/08
CPC分类号： G06F11/008 , G06F11/00 , H04L67/00
摘要： Arrangements and methods for employing empirical evidence to estimate the performance of applications with very few data samples, in complex environments such as dynamic SDP environments, using one or more effective data-plotting models.
摘要翻译： 使用经验证据来估计使用一个或多个有效数据绘图模型的复杂环境（如动态SDP环境）中具有极少数据样本的应用程序的性能的安排和方法。
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