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Patent Agency Ranking
公开(公告)号：US10296435B2
公开(公告)日：2019-05-21
申请号：US15392104
申请日：2016-12-28
Applicant: Amazon Technologies, Inc.
Inventor： Daniel L. Osiecki , Prashant L. Sarma , Monty Vanderbilt , David R. Azari , Caitlyn R. Schmidt
Abstract: Disclosed are various embodiments for processing and storing mass data, where the data may include metrics generated based on performance of an event in a monitored system. Metrics describing a state of a monitored system may be received, accessed, and aggregated to generate a data model that describes performance of the monitored system. The metrics utilized in generating the data model may be disregarded after the data model has been generated. An output describing the state of the monitored system may be generated based on the data model, and the output may be communicated over a network, for example, to a requesting service.
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公开(公告)号：US20170111242A1
公开(公告)日：2017-04-20
申请号：US15392104
申请日：2016-12-28
Applicant: Amazon Technologies, Inc.
Inventor： Daniel L. Osiecki , Prashant L. Sarma , Monty Vanderbilt , David R. Azari , Caitlyn R. Schmidt
CPC classification number: G06F11/34 , G06F11/3006 , G06F11/3072 , G06F17/30533 , H04L43/02 , H04L43/04 , H04L67/10
Abstract: Disclosed are various embodiments for processing and storing mass data, where the data may include metrics generated based on performance of an event in a monitored system. Metrics describing a state of a monitored system may be received, accessed, and aggregated to generate a data model that describes performance of the monitored system. The metrics utilized in generating the data model may be disregarded after the data model has been generated. An output describing the state of the monitored system may be generated based on the data model, and the output may be communicated over a network, for example, to a requesting service.
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公开(公告)号：US09563531B2
公开(公告)日：2017-02-07
申请号：US14457300
申请日：2014-08-12
Applicant: Amazon Technologies, Inc.
Inventor： Daniel L. Osiecki , Prashant L. Sarma , Monty Vanderbilt , David R. Azari , Caitlyn R. Schmidt
CPC classification number: G06F11/34 , G06F11/3006 , G06F11/3072 , G06F17/30533 , H04L43/02 , H04L43/04 , H04L67/10
Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
Abstract translation: 在各种实施例中公开了各种各样的系统和方法，用于存储诸如度量的质量数据。 从描述系统状态的度量流在服务器中生成多个数据模型。 每个度量与多个连续时间段中的一个相关联，并且每个数据模型表示与连续时间段中相应的一个相关联的度量。 数据模型存储在数据存储中，并且在使用之后，每个度量被丢弃以生成至少一个数据模型。
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公开(公告)号：US20140365650A1
公开(公告)日：2014-12-11
申请号：US14457300
申请日：2014-08-12
Applicant: Amazon Technologies, Inc.
Inventor： Daniel L. Osiecki , Prashant L. Sarma , Monty Vanderbilt , David R. Azari , Caitlyn R. Schmidt
IPC: H04L12/26
CPC classification number: G06F11/34 , G06F11/3006 , G06F11/3072 , G06F17/30533 , H04L43/02 , H04L43/04 , H04L67/10
Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
Abstract translation: 在各种实施例中公开了各种各样的系统和方法，用于存储诸如度量的质量数据。 从描述系统状态的度量流在服务器中生成多个数据模型。 每个度量与多个连续时间段中的一个相关联，并且每个数据模型表示与连续时间段中相应的一个相关联的度量。 数据模型存储在数据存储中，并且在使用之后，每个度量被丢弃以生成至少一个数据模型。
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公开(公告)号：US08819497B1
公开(公告)日：2014-08-26
申请号：US13769468
申请日：2013-02-18
Applicant: Amazon Technologies, Inc.
Inventor： Daniel L. Osiecki , Prashant L. Sarma , Monty Vanderbilt , David R. Azari , Caitlyn R. Schmidt
IPC: G06F11/00
CPC classification number: G06F11/34 , G06F11/3006 , G06F11/3072 , G06F17/30533 , H04L43/02 , H04L43/04 , H04L67/10
Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
Abstract translation: 在各种实施例中公开了各种各样的系统和方法，用于存储诸如度量的质量数据。 从描述系统状态的度量流在服务器中生成多个数据模型。 每个度量与多个连续时间段中的一个相关联，并且每个数据模型表示与连续时间段中相应的一个相关联的度量。 数据模型存储在数据存储中，并且在使用之后，每个度量被丢弃以生成至少一个数据模型。
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