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    Predicting route utilization and non-redundant failures in network environments
    1.
    发明授权
    Predicting route utilization and non-redundant failures in network environments 有权
    预测网络环境中的路由利用率和非冗余故障

    公开(公告)号：US08995249B1

    公开(公告)日：2015-03-31

    申请号：US13766674

    申请日：2013-02-13

    Applicant: Amazon Technologies, Inc.

    Inventor： Sonali Roy ,  Samuel Joseph Mortimer

    IPC: G01R31/08 ,  H04L12/24

    CPC classification number: H04L45/22 ,  H04L41/0663 ,  H04L41/0668 ,  H04L41/12 ,  H04L41/147 ,  H04L47/127 ,  H04Q11/0066 ,  H04Q2011/0081 ,  H04Q2011/009

    Abstract: A network analysis module may obtain information including but not limited to network traffic and topology information for a network environment including multiple separate networks and physical connections between the networks. The module generates a network topology model including but not limited to extreme-case failure or break information according to the network topology information, and applies the historical network traffic information to the network topology model to predict future expected normal traffic load and extreme-case traffic load for each route over the physical connections between the networks. Output may include one or more reports for each route, each report indicating the historical and predicted traffic levels for both normal and extreme-case scenarios of a respective route.

    Abstract translation: 网络分析模块可以获得包括但不限于包括网络环境的网络流量和拓扑信息的信息，所述网络环境包括网络之间的多个单独的网络和物理连接。 该模块根据网络拓扑信息生成包括但不限于极端故障或中断信息的网络拓扑模型，并将历史网络流量信息应用于网络拓扑模型，以预测未来预期的正常流量负载和极端流量 通过网络之间的物理连接为每个路由加载。 输出可以包括每个路线的一个或多个报告，每个报告指示相应路线的正常情况和极端情况下的历史和预测的流量水平。

    Mixture model approach for network forecasting
    3.
    发明授权
    Mixture model approach for network forecasting 有权
    网络预测的混合模型方法

    公开(公告)号：US09426036B1

    公开(公告)日：2016-08-23

    申请号：US14037565

    申请日：2013-09-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Sonali Roy

    IPC: H04L12/26 ,  G01R31/08 ,  H04L12/24 ,  G06N99/00

    CPC classification number: H04L41/147 ,  G06N99/00 ,  G06N99/005 ,  H04L41/145 ,  H04L43/0882

    Abstract: Disclosed are various embodiments that provide a mixture model approach to network forecasting. Network traffic models are generated for multiple host types. Weights are determined for the network traffic models. A network forecast is generated based at least in part on a hardware footprint forecast and on the network traffic models as weighted by the determined weights.

    Abstract translation: 公开了提供网络预测的混合模型方法的各种实施例。 为多种主机类型生成网络流量模型。 确定网络流量模型的权值。 至少部分地基于硬件足迹预测和由确定的权重加权的网络流量模型来生成网络预测。

    Determining locations of network failures
    5.
    发明授权
    Determining locations of network failures 有权

    公开(公告)号：US09197495B1

    公开(公告)日：2015-11-24

    申请号：US13764706

    申请日：2013-02-11

    Applicant: Amazon Technologies, Inc.

    Inventor： John Michael Rauser ,  Sonali Roy ,  James Michael Thompson

    IPC: H04L12/24 ,  H04L12/26

    CPC classification number: H04L41/0677 ,  H04L41/142 ,  H04L43/08 ,  H04L43/0829 ,  H04L43/0852 ,  H04L43/0894

    Abstract: Generally described, systems and methods are provided for detecting locations of failures of network paths. The system collects information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, and determines at least one location for network failures. In some aspects, processing the aggregated information may include determining the performance information on each of the nodes and links in the network. The performance information on each of the nodes and links may be determined by application and optimization of an objective function.

    ANALYSIS OF MEDIA CONSUMPTION FOR NEW MEDIA PRODUCTION
    6.
    发明申请
    ANALYSIS OF MEDIA CONSUMPTION FOR NEW MEDIA PRODUCTION 审中-公开

    公开(公告)号：US20180130075A1

    公开(公告)日：2018-05-10

    申请号：US14658868

    申请日：2015-03-16

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Sonali Roy

    IPC: G06Q30/02 ,  H04L29/06

    CPC classification number: G06Q30/0203 ,  H04L65/4092 ,  H04L67/42 ,  H04N21/251 ,  H04N21/26603 ,  H04N21/4756 ,  H04N21/6543 ,  H04N21/8456

    Abstract: Disclosed are various embodiments for analyzing media performance as a basis for production of new media. A computing device identifies a plurality of attributes correlated with performance of a media file. The computing device then selects a plurality of media files for testing, wherein individual ones of the plurality of media files have at least one of the plurality of attributes. The computing device sends at least one of the plurality of media files to a client device. Subsequently, the computing device calculates a rating for the at least one of the plurality of media files based at least in part on a response on feedback data received from the client device.

    Determining locations of network failures
    9.
    发明授权
    Determining locations of network failures 有权
    确定网络故障的位置

    公开(公告)号：US09210038B1

    公开(公告)日：2015-12-08

    申请号：US13764719

    申请日：2013-02-11

    Applicant: Amazon Technologies, Inc.

    Inventor： John Michael Rauser ,  Sonali Roy ,  James Michael Thompson

    IPC: H04L12/24 ,  H04L12/26

    CPC classification number: H04L41/0677 ,  H04L41/046 ,  H04L41/12 ,  H04L41/142 ,  H04L43/08 ,  H04L43/0829 ,  H04L43/0894

    Abstract: Generally described, systems and methods are provided for detecting locations of failures of network paths. The system collects information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, and determines at least one location for network failures. In some aspects, processing the aggregated information may include determining the performance information on each of the nodes and links in the network. The performance information on each of the nodes and links may be determined by application and optimization of an objective function.

    Abstract translation: 通常描述，提供了用于检测网络路径故障的位置的系统和方法。 系统从网络中的多个节点和链路收集信息，跨越网络中的路径聚集收集的性能信息，处理聚合的性能信息以检测路径上的故障，并确定至少一个位置以进行网络故障。 在一些方面，处理聚合信息可以包括确定网络中每个节点和链路上的性能信息。 可以通过目标函数的应用和优化来确定每个节点和链路上的性能信息。

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