公开(公告)号：US20180039899A1

公开(公告)日：2018-02-08

申请号：US15464268

申请日：2017-03-20

Applicant: Amazon Technologies, Inc.

Inventor： Sebastian Martin Biemueller ,  Christopher Richard Jacques de Kadt ,  Mathew Daniel ,  Adi Meyers ,  James Alfred Gordon Greenfield ,  Thomas Friebel ,  Jean-Paul Bauer ,  Benjamin Van Der Merwe

IPC: G06N5/04 ,  G06N99/00

CPC classification number: G06N20/00 ,  G06F9/45533 ,  G06F2009/45575

Abstract: Remote computing resource service providers allow customers to execute virtual computer systems in a virtual environment on hardware provided by the computing resource service provider. The hardware may be distributed between various geographic locations connected by a network. The distributed environment may increase latency of various operations of the virtual computer systems executed by the customer. To reduce latency of various operations predictive modeling is used to predict the occurrence of various operations and initiate the operations before they may occur, thereby reducing the amount of latency perceived by the customer.

公开(公告)号：US09600774B1

公开(公告)日：2017-03-21

申请号：US14037345

申请日：2013-09-25

Applicant: Amazon Technologies, Inc.

Inventor： Sebastian Martin Biemueller ,  Christopher Richard Jacques de Kadt ,  Mathew Daniel ,  Adi Meyers ,  James Alfred Gordon Greenfield ,  Thomas Friebel ,  Jean-Paul Bauer ,  Benjamin Van Der Merwe

IPC: G06F15/18 ,  G06N5/04 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06F9/45533 ,  G06F2009/45575

Abstract: Remote computing resource service providers allow customers to execute virtual computer systems in a virtual environment on hardware provided by the computing resource service provider. The hardware may be distributed between various geographic locations connected by a network. The distributed environment may increase latency of various operations of the virtual computer systems executed by the customer. To reduce latency of various operations predictive modeling is used to predict the occurrence of various operations and initiate the operations before they may occur, thereby reducing the amount of latency perceived by the customer.

公开(公告)号：US09146814B1

公开(公告)日：2015-09-29

申请号：US13975886

申请日：2013-08-26

Applicant: Amazon Technologies, Inc.

Inventor： Benjamin van der Merwe ,  Jean-Paul Bauer ,  Roland Paterson-Jones ,  James Alfred Gordon Greenfield ,  Christopher Richard Jacques de Kadt ,  Adi Meyers

IPC: G06F11/00 ,  G06F11/14

CPC classification number: G06F11/3058 ,  G06F11/3031 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/815 ,  G06F2201/86

Abstract: A ranking service can retrieve metrics from a metrics data store and use the metrics to determine a priority order in which to power down resources in a data center. Metrics from the data store can include a number of instances running on a host, a length of time that an instance has been operational, a type of instance, an amount of CPU use on a host, etc. The ranking service can also obtain other parameters from other sources. The parameters can include whether redundant or failover instances exist, the importance of the instances, whether the customer itself is considered important, other generic parameters from the customer account, a customer provided ranking of instances, etc.

Abstract translation: 排名服务可以从衡量数据存储中检索度量，并使用度量来确定在数据中心中关闭资源的优先顺序。 来自数据存储的度量可以包括在主机上运行的多个实例，实例已经可操作的时间长度，实例的类型，主机上的CPU使用量等。排名服务还可以获得其他 来自其他来源的参数。 这些参数可以包括是否存在冗余或故障切换实例，实例的重要性，客户本身是否被视为重要，客户帐户中的其他通用参数，客户提供的实例排名等。