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1. 发明授权

US09053067B2 Distributed data scalable adaptive map-reduce framework 有权
标题翻译：分布式数据可扩展的自适应映射减少框架
公开(公告)号：US09053067B2
公开(公告)日：2015-06-09
申请号：US13249378
申请日：2011-09-30
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F15/173 , G06F9/50
CPC分类号： G06F15/17318 , G06F9/5066
摘要： A method, an apparatus and an article of manufacture for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
摘要翻译：一种用于生成用于至少一个多核心群集的分布式数据可伸缩自适应地图缩减框架的方法，装置和制品。该方法包括：将群集分成至少一个计算组，确定每个计算组内的至少一个密钥组领导，在每个计算组执行本地组合操作，在所述至少一个密钥组中的每一个执行全局组合操作，基于来自本地组合操作的结果，并且在每个计算组内的至少一个密钥组引导件上执行全局映射减少操作，在每个计算组内的组长。

2. 发明授权

US08959138B2 Distributed data scalable adaptive map-reduce framework 有权
标题翻译：分布式数据可扩展的自适应映射减少框架
公开(公告)号：US08959138B2
公开(公告)日：2015-02-17
申请号：US13563990
申请日：2012-08-01
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F15/16 , G06F15/173
CPC分类号： G06F15/17318 , G06F9/5066
摘要： A method for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
摘要翻译：一种用于为至少一个多核心集群生成分布式数据可伸缩自适应地图缩减框架的方法。该方法包括：将群集分成至少一个计算组，确定每个计算组内的至少一个密钥组领导，在每个计算组执行本地组合操作，在所述至少一个密钥组中的每一个执行全局组合操作，基于来自本地组合操作的结果，并且在每个计算组内的至少一个密钥组引导件上执行全局映射减少操作，在每个计算组内的组长。

3. 发明申请

US20130086356A1 Distributed Data Scalable Adaptive Map-Reduce Framework 审中-公开
标题翻译：分布式数据可扩展自适应映射减少框架
公开(公告)号：US20130086356A1
公开(公告)日：2013-04-04
申请号：US13563990
申请日：2012-08-01
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F15/76
CPC分类号： G06F15/17318 , G06F9/5066
摘要： A method for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
摘要翻译：一种用于为至少一个多核心集群生成分布式数据可伸缩自适应地图缩减框架的方法。该方法包括：将群集分成至少一个计算组，确定每个计算组内的至少一个密钥组领导，在每个计算组执行本地组合操作，在所述至少一个密钥组中的每一个执行全局组合操作，基于来自本地组合操作的结果，并且在每个计算组内的至少一个密钥组引导件上执行全局映射减少操作，在每个计算组内的组长。

4. 发明授权

US08990209B2 Distributed scalable clustering and community detection 有权
标题翻译：分布式可扩展集群和社区检测
公开(公告)号：US08990209B2
公开(公告)日：2015-03-24
申请号：US13604910
申请日：2012-09-06
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F17/30 , G06Q10/04
CPC分类号： G06Q10/04
摘要： Techniques, an apparatus and an article of manufacture for distributed scalable clustering and community detection. A method includes generating a label for each node in a graph, wherein said label identifies a community in which a node participates, propagating each label locally within two or more segments of the graph based on a participation percentage of each node in at least one identified community within the graph, and deriving at least one cluster of nodes in the graph that corresponds to the at least one identified community based on said propagating.
摘要翻译：用于分布式可扩展集群和社区检测的技术，设备和制造。一种方法包括为图形中的每个节点生成标签，其中所述标签标识节点参与的社区，基于每个节点在至少一个已识别的节点中的参与百分比，在图的两个或更多个片段中本地传播每个标签社区，并且基于所述传播，导出对应于至少一个所识别的社区的图中的至少一个节点簇。

5. 发明申请

US20140067808A1 Distributed Scalable Clustering and Community Detection 有权
标题翻译：分布式可扩展聚类和社区检测
公开(公告)号：US20140067808A1
公开(公告)日：2014-03-06
申请号：US13604910
申请日：2012-09-06
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F17/30
CPC分类号： G06Q10/04
摘要： Techniques, an apparatus and an article of manufacture for distributed scalable clustering and community detection. A method includes generating a label for each node in a graph, wherein said label identifies a community in which a node participates, propagating each label locally within two or more segments of the graph based on a participation percentage of each node in at least one identified community within the graph, and deriving at least one cluster of nodes in the graph that corresponds to the at least one identified community based on said propagating.
摘要翻译：用于分布式可扩展集群和社区检测的技术，设备和制造。一种方法包括为图形中的每个节点生成标签，其中所述标签标识节点参与的社区，基于每个节点在至少一个已识别的节点中的参与百分比，在图的两个或更多个片段中本地传播每个标签社区，并且基于所述传播，导出对应于至少一个所识别的社区的图中的至少一个节点簇。

6. 发明申请

US20130086355A1 Distributed Data Scalable Adaptive Map-Reduce Framework 有权
标题翻译：分布式数据可扩展自适应映射减少框架
公开(公告)号：US20130086355A1
公开(公告)日：2013-04-04
申请号：US13249378
申请日：2011-09-30
申请人： Ankur Narang , Jyothish Soman
发明人： Ankur Narang , Jyothish Soman
IPC分类号： G06F15/76 , G06F9/30
CPC分类号： G06F15/17318 , G06F9/5066
摘要： A method, an apparatus and an article of manufacture for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
摘要翻译：一种用于生成用于至少一个多核心群集的分布式数据可伸缩自适应地图缩减框架的方法，装置和制品。该方法包括：将群集分成至少一个计算组，确定每个计算组内的至少一个密钥组领导，在每个计算组执行本地组合操作，在所述至少一个密钥组中的每一个执行全局组合操作，基于来自本地组合操作的结果，并且在每个计算组内的至少一个密钥组引导件上执行全局映射减少操作，在每个计算组内的组长。

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