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公开(公告)号：US20180191553A1
公开(公告)日：2018-07-05
申请号：US15849112
申请日：2017-12-20
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Venkatesh Raman Ramteke , Shiva Prakash Suragi Math
CPC classification number: H04L41/064 , H04L41/0681 , H04L41/0686 , H04L43/065 , H04L43/067 , H04L43/0823
Abstract: Examples described relate to identifying a potentially erroneous device in an IoT network. In an example, data from a device in an IoT network. The data may be analyzed against a classification of previous data from the plurality of devices, wherein the classification classifies the previous data as one of an erroneous data, a potentially erroneous data, or a normal data. If the data from the device represents the erroneous data, the device may be included in a set of potentially erroneous devices. A cluster of the device may be determined in a cluster classification. If the device belongs to the erroneous cluster in the cluster classification, associated devices in the erroneous cluster may be added to the set of potentially erroneous devices. If a threshold amount of devices in the set of potentially erroneous devices is higher than a pre-defined value, a notification may be generated.
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公开(公告)号：US20190007270A1
公开(公告)日：2019-01-03
申请号：US15974736
申请日：2018-05-09
Applicant: Hewlett Packard Enterprise Development LP
IPC: H04L12/24 , H04L12/851 , H04L12/26
Abstract: Examples relate to deploying QoS policies in interfaces of network devices of a network. A full traffic matrix of a network is obtained by monitoring network traffic in a set of interfaces of a set of network devices of the network, wherein network traffic is generated by application. A required bandwidth for each application in each interface in the network is determined based on a priority assigned to the applications. A set of interfaces among all the interfaces of the network are identified for deploying a QoS policy. The QoS policy to be deployed in each interface is determined based on an IT policy of the network. Lastly, the determined QoS policies are deployed into the set of interfaces of the network.
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3.发明申请Automatically Discovering Topology Of An Information Technology (IT) Infrastructure 审中-公开自动发现信息技术（IT）基础设施的拓扑公开(公告)号：US20170012818A1
公开(公告)日：2017-01-12
申请号：US15113436
申请日：2014-01-21
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
CPC classification number: H04L41/085 , G06F16/86 , G06F17/2705 , H04L41/065 , H04L41/12
Abstract: Provided is a method of automatically discovering topology of an information technology (IT) infrastructure. Topology relationships amongst configuration items (CI) present in a semi-structured data generated by an information technology component of the IT infrastructure are determined. Topology relationships amongst configuration items (CI) present in a structured data generated by the information technology component of the IT infrastructure are determined. The topology relationships amongst the configuration items (CI) present in the semi-structured data are reconciled with the topology relationships amongst the configuration items (CI) present in the structured data.
Abstract translation: 提供了一种自动发现信息技术（IT）基础设施拓扑的方法。 确定由IT基础设施的信息技术组件生成的半结构化数据中存在的配置项（CI）之间的拓扑关系。 确定由IT基础设施的信息技术组件生成的结构化数据中的配置项（CI）之间的拓扑关系。 存在于半结构化数据中的配置项（CI）之间的拓扑关系与存在于结构化数据中的配置项（CI）之间的拓扑关系相协调。
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公开(公告)号：US10756950B2
公开(公告)日：2020-08-25
申请号：US15849112
申请日：2017-12-20
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Venkatesh Raman Ramteke , Shiva Prakash Suragi Math
Abstract: Examples described relate to identifying a potentially erroneous device in an IoT network. In an example, data from a device in an IoT network. The data may be analyzed against a classification of previous data from the plurality of devices, wherein the classification classifies the previous data as one of an erroneous data, a potentially erroneous data, or a normal data. If the data from the device represents the erroneous data, the device may be included in a set of potentially erroneous devices. A cluster of the device may be determined in a cluster classification. If the device belongs to the erroneous cluster in the cluster classification, associated devices in the erroneous cluster may be added to the set of potentially erroneous devices. If a threshold amount of devices in the set of potentially erroneous devices is higher than a pre-defined value, a notification may be generated.
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