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1.
公开(公告)号:US20190238625A1
公开(公告)日:2019-08-01
申请号:US16381639
申请日:2019-04-11
CPC分类号: H04L67/10 , H04L41/0896 , H04L41/5009 , H04L41/5096 , H04L67/12
摘要: For distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
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2.
公开(公告)号:US09954953B2
公开(公告)日:2018-04-24
申请号:US15041179
申请日:2016-02-11
CPC分类号: H04L67/12 , G06F9/505 , G06Q10/101 , H04W4/08 , H04W4/70
摘要: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A first subset of the IoT devices is selected to form a cluster of IoT devices where each IoT device satisfies a clustering condition. A second subset of the first subset is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the second subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the second subset which enables the first IoT device to participate in the sub-cluster and process the workload.
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公开(公告)号:US20160044053A1
公开(公告)日:2016-02-11
申请号:US14922553
申请日:2015-10-26
CPC分类号: H04L63/1408 , H04L61/6068 , H04L63/1458 , H04L63/1466 , H04L2463/141 , H04L2463/146
摘要: System, method and program for identifying a subset of a multiplicity of source networks. The subset including one or more source networks which have sent messages to one of a plurality of destination locations having a same IP address. For each of the multiplicity of source networks, a determination is made whether there are fewer intervening hops from the source network to the one destination location than from the source network to other of the plurality of destination locations. If so, the source network is included in the subset. If not, the source network is not included in the subset. One application of the present invention is to identify a source of a denial of service attack. After the subset is identified, filters can be sequentially applied to block messages from respective source networks in the subset to determine which source network in the subset is sending the messages.
摘要翻译: 用于识别多个源网络的子集的系统,方法和程序。 该子集包括向多个具有相同IP地址的目的地位置之一发送消息的一个或多个源网络。 对于多个源网络中的每一个,确定从源网络到一个目的地位置的间隔跳数是否比从源网络到多个目的地位置中的其他目的地点的更少。 如果是这样,源网络被包括在子集中。 如果不是,源网络不包括在子集中。 本发明的一个应用是识别拒绝服务攻击的源。 在子集被识别之后,可以将过滤器顺序地应用于阻止来自子集中相应源网络的消息,以确定子集中的哪个源网络正在发送消息。
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公开(公告)号:US10713574B2
公开(公告)日:2020-07-14
申请号:US14249679
申请日:2014-04-10
IPC分类号: G06N5/04 , G06F16/332 , G06F40/279 , G06N20/00 , G06N3/12
摘要: Approaches are provided for answering an inquiry of a cognitive distributed network. An approach includes receiving the inquiry at the cognitive distributed network. The approach further includes determining a classification for the inquiry based on natural language of the inquiry. The approach further includes classifying the inquiry as a single question class. The approach further includes determining, by at least one computing device, a type of introspection to be used by the cognitive distributed network on the inquiry. The approach further includes generating an answer to the inquiry based on the determined type of introspection.
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5.
公开(公告)号:US20170237804A1
公开(公告)日:2017-08-17
申请号:US15041240
申请日:2016-02-11
CPC分类号: H04L67/10 , H04L41/0896 , H04L41/5009 , H04L41/5096 , H04L67/12
摘要: For distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
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公开(公告)号:US20170235604A1
公开(公告)日:2017-08-17
申请号:US15041252
申请日:2016-02-11
CPC分类号: G06F9/505 , G06F9/4856 , G06F9/5088 , H04W4/70
摘要: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.
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7.
公开(公告)号:US20170235603A1
公开(公告)日:2017-08-17
申请号:US15041179
申请日:2016-02-11
CPC分类号: H04L67/12 , G06F9/505 , G06Q10/101 , H04W4/08 , H04W4/70
摘要: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A first subset of the IoT devices is selected to form a cluster of IoT devices where each IoT device satisfies a clustering condition. A second subset of the first subset is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the second subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the second subset which enables the first IoT device to participate in the sub-cluster and process the workload.
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8.
公开(公告)号:US20180183877A1
公开(公告)日:2018-06-28
申请号:US15896670
申请日:2018-02-14
CPC分类号: H04L67/12 , G06F9/505 , G06Q10/101 , H04W4/08 , H04W4/70
摘要: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A subset of the set is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the subset which enables the first IoT device to participate in the sub-cluster and process the workload.
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公开(公告)号:US09990234B2
公开(公告)日:2018-06-05
申请号:US15041252
申请日:2016-02-11
CPC分类号: G06F9/505 , G06F9/4856 , G06F9/5088 , H04W4/70
摘要: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.
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10.
公开(公告)号:US20170118079A1
公开(公告)日:2017-04-27
申请号:US14922118
申请日:2015-10-24
CPC分类号: G06K9/6201 , G06K9/00228 , G06K9/00288 , G06K9/00315 , G06K9/66 , G06K2009/00328 , H04L51/32 , H04L67/18
摘要: A provisioning mechanism performs facial recognition of a photograph, and determines when the person corresponding to the recognized face is correlated to a desired geographical location. The availability of resources near the desired geographical location is determined, and computer resources are then provisioned at a resource center near the desired geographical location. The result is provisioning computer resources to a geographical location based on facial recognition.
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