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公开(公告)号:US09882968B1
公开(公告)日:2018-01-30
申请号:US14565164
申请日:2014-12-09
Applicant: Amazon Technologies, Inc.
Inventor: Tobias Lars-Olov Holgers , Kevin Christopher Miller , Andrew Bruce Dickinson , David Carl Salyers , Xiao Zhang , Shane Ashley Hall , Christopher Ian Hendrie , Aniket Deepak Divecha , Ralph William Flora
CPC classification number: H04L67/10 , G06F9/45533 , H04L67/42
Abstract: A control-plane component of a virtual network interface (VNI) multiplexing service assigns one or more VNIs as members of a first interface group. A first VNI of the interface group is attached to a first compute instance. Network traffic directed to a particular endpoint address associated with the first interface group is to be distributed among members of the first interface group by client-side components of the service. The control-plane component propagates membership metadata of the first interface group to the client-side components. In response to a detection of an unhealthy state of the first compute instance, the first VNI is attached to a different compute instance by the control-plane component.
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公开(公告)号:US20190222636A1
公开(公告)日:2019-07-18
申请号:US16362192
申请日:2019-03-22
Applicant: Amazon Technologies, Inc.
Inventor: Tobias Lars-Olov Holgers , Kevin Christopher Miller , Andrew Bruce Dickinson , David Carl Salyers , Xiao Zhang , Shane Ashley Hall , Christopher Ian Hendrie , Aniket Deepak Divecha , Ralph William Flora
CPC classification number: H04L67/10 , G06F9/45533 , H04L67/42
Abstract: A control-plane component of a virtual network interface (VNI) multiplexing service assigns one or more VNIs as members of a first interface group. A first VNI of the interface group is attached to a first compute instance. Network traffic directed to a particular endpoint address associated with the first interface group is to be distributed among members of the first interface group by client-side components of the service. The control-plane component propagates membership metadata of the first interface group to the client-side components. In response to a detection of an unhealthy state of the first compute instance, the first VNI is attached to a different compute instance by the control-plane component.
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公开(公告)号:US12111826B1
公开(公告)日:2024-10-08
申请号:US18194543
申请日:2023-03-31
Applicant: Amazon Technologies, Inc.
Inventor: Suthee Chaidaroon , Xiao Zhang , Shruti Subramaniyam , Sidharth Gulati , Jeffrey Thomas Svajlenko , Iman Keivanloo , Rick Nayar , Regina M Joy
IPC: G06F17/30 , G06F16/242 , G06F16/2457
CPC classification number: G06F16/242 , G06F16/24575
Abstract: Systems and methods for training and performing query answering for programming related query answering are disclosed. During a training phase, queries and answers of a training dataset may be encoded as vectors into the Euclidean space. Loss values for query-answer pairs, duplicate queries, and augmented queries may be determined using loss functions and may be used to adjust the model of the encoder. During the operation phase, a query may be received and encoded into the Euclidean space. The encoded answer most proximate to the encoded query may be decoded and provided as the most relevant answer.
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公开(公告)号:US11775936B1
公开(公告)日:2023-10-03
申请号:US16885198
申请日:2020-05-27
Applicant: Amazon Technologies, Inc.
Inventor: Xiao Zhang , Anbo Chen , Shan Kang , Yuqing Xing
Abstract: Techniques for forecasting long duration floating holidays in online traffic are described. According to some embodiments, a machine learning service receives a request to train a time series forecast model on time series data of a user, receives an input for the time series forecast model that comprises a first feature weight that represents a first pivot day and a second feature weight that represents a second pivot day, performs a linear interpolation on the first feature weight and the second feature weight for a day between the first pivot day and the second pivot day to generate a linearly interpolated first weight of the first feature weight for a feature vector and a linearly interpolated second weight of the second feature weight for the feature vector, determines a first coefficient for the time series forecast model based at least in part on the time series data of the user, the linearly interpolated first weight of the first feature weight from the feature vector, and the linearly interpolated second weight of the second feature weight from the feature vector, generates, by the time series forecast model comprising the first coefficient, a prediction for a future day, and transmits the prediction to the user.
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公开(公告)号:US10735499B2
公开(公告)日:2020-08-04
申请号:US16362192
申请日:2019-03-22
Applicant: Amazon Technologies, Inc.
Inventor: Tobias Lars-Olov Holgers , Kevin Christopher Miller , Andrew Bruce Dickinson , David Carl Salyers , Xiao Zhang , Shane Ashley Hall , Christopher Ian Hendrie , Aniket Deepak Divecha , Ralph William Flora
Abstract: A control-plane component of a virtual network interface (VNI) multiplexing service assigns one or more VNIs as members of a first interface group. A first VNI of the interface group is attached to a first compute instance. Network traffic directed to a particular endpoint address associated with the first interface group is to be distributed among members of the first interface group by client-side components of the service. The control-plane component propagates membership metadata of the first interface group to the client-side components. In response to a detection of an unhealthy state of the first compute instance, the first VNI is attached to a different compute instance by the control-plane component.
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公开(公告)号:US10244044B2
公开(公告)日:2019-03-26
申请号:US15881545
申请日:2018-01-26
Applicant: Amazon Technologies, Inc.
Inventor: Tobias Lars-Olov Holgers , Kevin Christopher Miller , Andrew Bruce Dickinson , David Carl Salyers , Xiao Zhang , Shane Ashley Hall , Christopher Ian Hendrie , Aniket Deepak Divecha , Ralph William Flora
Abstract: A control-plane component of a virtual network interface (VNI) multiplexing service assigns one or more VNIs as members of a first interface group. A first VNI of the interface group is attached to a first compute instance. Network traffic directed to a particular endpoint address associated with the first interface group is to be distributed among members of the first interface group by client-side components of the service. The control-plane component propagates membership metadata of the first interface group to the client-side components. In response to a detection of an unhealthy state of the first compute instance, the first VNI is attached to a different compute instance by the control-plane component.
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