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公开(公告)号：US10402424B1
公开(公告)日：2019-09-03
申请号：US15344180
申请日：2016-11-04
Applicant: Amazon Technologies, Inc.
IPC: G06F17/30 , G06F16/27 , G06F9/48 , G06F16/22 , G06F16/2455 , G06F16/2453
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
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Patent Agency Ranking
公开(公告)号：US20200057672A1
公开(公告)日：2020-02-20
申请号：US16554769
申请日：2019-08-29
Applicant: Amazon Technologies, Inc.
IPC: G06F9/48 , G06N5/02 , G06F16/2455 , G06F16/22 , G06F16/27 , G06F16/2458 , G06F9/50 , G06F16/2453
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
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公开(公告)号：US11422853B2
公开(公告)日：2022-08-23
申请号：US16554769
申请日：2019-08-29
Applicant: Amazon Technologies, Inc.
IPC: G06F9/48 , G06F16/27 , G06F16/22 , G06F16/2455 , G06F16/2453 , G06F9/50 , G06F16/2458 , G06N5/02
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
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公开(公告)号：US09996593B1
公开(公告)日：2018-06-12
申请号：US14452146
申请日：2014-08-05
Applicant: Amazon Technologies, Inc.
IPC: G06F17/30
CPC classification number: G06F17/30545 , G06F9/505 , G06F17/30445 , G06F17/30938
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
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公开(公告)号：US09489237B1
公开(公告)日：2016-11-08
申请号：US14745178
申请日：2015-06-19
Applicant: Amazon Technologies, Inc.
CPC classification number: G06F9/4881 , G06F9/5066 , G06F17/30327 , G06F17/30445 , G06F17/30477 , G06F17/30489 , G06F17/30545 , G06F17/30581 , G06N5/02
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
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公开(公告)号：US09063976B1
公开(公告)日：2015-06-23
申请号：US14107570
申请日：2013-12-16
Applicant: Amazon Technologies, Inc.
IPC: G06F17/30
CPC classification number: G06F9/4881 , G06F9/5066 , G06F17/30327 , G06F17/30445 , G06F17/30477 , G06F17/30489 , G06F17/30545 , G06F17/30581 , G06N5/02
Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.
Abstract translation: 可以使用并行处理框架在一组节点上并行处理数据。 在组件之间使用Web服务调用允许按需扩展节点数，并允许开发人员使用Web服务接口在框架上构建应用程序。 作业调度器与排队服务一起工作，以便在节点具有容量的情况下将作业分发到节点，使得作业能够以节点能够处理作业的速度并行执行。 可以跨集群有效地加载数据，并且可以动态地确定节点级别以处理系统上的查询和其他请求。
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