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公开(公告)号：US12067016B1
公开(公告)日：2024-08-20
申请号：US17548417
申请日：2021-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Andrea Giuliano , Gary Taylor , Gavin Bramhill
IPC: G06F16/245 , G06F16/2453 , G06F16/2455
CPC classification number: G06F16/24562 , G06F16/24549 , G06F16/24558 , G06F16/24568
Abstract: Data being identified includes a first portion of data and a second portion of data. Based on identifying the data, a data structure is generated. The data structure can include a first section having a first symbol associated with the first portion of data and a second symbol associated with the second portion of data. Further, the first section can include a first offset value corresponding to the first portion of data and a second offset value corresponding to the second portion of data. The data structure can include a second section with a plurality of pointers that reference at least a plurality of symbols including at least the first and second symbol. The data structure can be referenced to process one or more queries against the data.
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公开(公告)号：US10983888B1
公开(公告)日：2021-04-20
申请号：US16218391
申请日：2018-12-12
Applicant: Amazon Technologies, Inc.
Inventor： Andrea Giuliano , Gary Taylor , Richard Nel-Boland , Hui Zhang
IPC: G06F11/30 , G06F16/901 , G06F11/34
Abstract: Systems and methods for generating dynamic sparse exponential histograms. The system includes a network-based service and a data compression engine to generate a sparse exponential histogram (SEH) representation of a distribution of a plurality of data values of a performance metric of the network-based service. The data compression engine is configured to, map each data value to a bin of an exponential histogram. Responsive to a determination that the mapped bin is not indicated in the SEH representation and that a bin quantity limit would be exceeded by adding the mapped bin, the data compression engine is configured to increase a bin size parameter by a scaling factor to expand data value ranges of the bins, merge bins indicated in the SEH representation according to the expanded data value ranges to reduce the quantity of bins indicated in the SEH representation, and indicate the scaling factor in the SEH representation.
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公开(公告)号：US20180131761A1
公开(公告)日：2018-05-10
申请号：US15865043
申请日：2018-01-08
Applicant: Amazon Technologies, Inc.
IPC: H04L29/08
CPC classification number: H04L67/1095 , H04L67/1004
Abstract: A computing resource monitoring service receives a request to store a measurement for a metric associated with a computing resource. The request includes the measurement itself and metadata for the measurement, which specifies attributes of the measurement. Based at least in part on the metadata, the computing resource monitoring service generates a fully-qualified metric identifier and, using the identifier, selects a logical partition for placement of the measurement. From the logical partition, the computing resource monitoring service transmits the measurement to an aggregator sub-system comprising one or more in-memory datastores. The computing resource monitoring service stores the measurement in an in-memory datastore within the aggregator sub-system.
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公开(公告)号：US09880880B2
公开(公告)日：2018-01-30
申请号：US14752760
申请日：2015-06-26
Applicant: Amazon Technologies, Inc.
CPC classification number: G06F9/505 , G06F9/5061 , G06F9/5077 , G06F9/5083
Abstract: A computing resource monitoring service receives a plurality of measurements for a metric associated with an auto-scale group. Each measurement is associated with metadata for the measurement, which specifies attributes for the measurement. The computing resource monitoring service determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The service partitions the plurality of measurements into a plurality of logical partitions associated with one or more in-memory datastores. The service transmits the measurements from the plurality of logical partitions to the one or more datastores for storage of the measurements. These measurements are provided to one or more computing resource managers for the auto-scale group to enable automatic scaling of computing resources of the group based at least in part on the measurements.
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公开(公告)号：US09910755B2
公开(公告)日：2018-03-06
申请号：US14752756
申请日：2015-06-26
Applicant: Amazon Technologies, Inc.
CPC classification number: G06F11/3409 , G06F11/3006 , G06F11/3082 , G06F11/3433 , G06F11/3452 , G06F11/3476 , G06F17/40 , G06F2201/835
Abstract: A computing resource monitoring service receives a request to retrieve measurement data for a metric. The computing resource monitoring service determines, based at least in part on information included in the request, one or more in-memory datastores where the measurement data is stored. If the information indicates that the computing resource monitoring service is to provide an authoritative subset of the measurement data, the computing resource monitoring service limits the data provided in response to the request to the authoritative subset of the measurement data. Otherwise, if the information does not specify this indication, the computing resource monitoring service will provide the measurement data that is available.
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Patent Agency Ranking
公开(公告)号：US09882830B2
公开(公告)日：2018-01-30
申请号：US14752759
申请日：2015-06-26
Applicant: Amazon Technologies, Inc.
IPC: G06F9/46 , H04L12/911 , H04L12/24
CPC classification number: H04L47/783 , H04L41/5009 , H04L41/5061
Abstract: A web server computer system receives a plurality of measurements for a metric from one or more computing resources associated with the web server computer system. Each measurement includes metadata for the measurement, which specifies attributes of the measurement. The web server computer system determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The web server computer system uses the fully qualified metric identifier to partition the plurality of measurements into various partitions. Once completed, the web server computer system transmits a request to one or more aggregator sub-systems of a computing resource monitoring service to store the plurality of measurements.
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公开(公告)号：US20160378552A1
公开(公告)日：2016-12-29
申请号：US14752760
申请日：2015-06-26
Applicant: Amazon Technologies, Inc.
IPC: G06F9/50
CPC classification number: G06F9/505 , G06F9/5061 , G06F9/5077 , G06F9/5083
Abstract: A computing resource monitoring service receives a plurality of measurements for a metric associated with an auto-scale group. Each measurement is associated with metadata for the measurement, which specifies attributes for the measurement. The computing resource monitoring service determines, for each measurement and based at least in part on the metadata, a fully qualified metric identifier for the measurement. The service partitions the plurality of measurements into a plurality of logical partitions associated with one or more in-memory datastores. The service transmits the measurements from the plurality of logical partitions to the one or more datastores for storage of the measurements. These measurements are provided to one or more computing resource managers for the auto-scale group to enable automatic scaling of computing resources of the group based at least in part on the measurements.
Abstract translation: 计算资源监视服务接收与自动比例组相关联的度量的多个测量。 每个测量与测量的元数据相关联，该元数据指定测量的属性。 计算资源监视服务针对每个测量并且至少部分地基于元数据确定用于测量的完全限定的度量标识符。 服务将多个测量分割成与一个或多个内存中数据存储相关联的多个逻辑分区。 该服务将测量从多个逻辑分区发送到一个或多个数据存储以存储测量结果。 这些测量被提供给自动量表组的一个或多个计算资源管理器，以使得能够至少部分地基于测量来自动缩放组中的计算资源。
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公开(公告)号：US12197407B1
公开(公告)日：2025-01-14
申请号：US17548427
申请日：2021-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Andrea Giuliano , Gary Taylor , Gavin Bramhill
IPC: G06F16/22
Abstract: Described technologies generate a data structure corresponding to values sequenced based on a plurality of timestamps associated with the values. The data structure can include a first section identifying a first timestamp associated with the plurality of timestamps and a number representing how many timestamps are associated with the plurality of timestamps, and a second section including at least a value linked to the first timestamp, and an additional value representing an encoding type associated with the second section. The data structure can be stored in computer-implemented storage.
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公开(公告)号：US11487738B1
公开(公告)日：2022-11-01
申请号：US16450755
申请日：2019-06-24
Applicant: Amazon Technologies, Inc.
Inventor： Michele Ficarra , Gary Taylor , Shane Stacey , Carlo Bergonzini
Abstract: By obtaining metadata for transactions submitted by a service to a log-first distributed database of a provider network, a metrics manager may determine database replica performance for those transactions and notify clients of potential performance issues. When an instance of the service submits a write transaction to the log-first distributed database, the transaction may include a host name and a timestamp for the submission of the transaction. At a later point in time, a write applier may obtain the transaction and apply it to a local database replica, along with an additional timestamp for the application of the transaction to the replica. A metrics manager may obtain the transaction timestamps from the replica and calculate a latency metric for the propagation of the transaction from the particular service instance/instance host to the replica. The latency metric may be stored or transmitted to an endpoint (e.g., a client or administrator).
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公开(公告)号：US10812587B1
公开(公告)日：2020-10-20
申请号：US14836897
申请日：2015-08-26
Applicant: Amazon Technologies, Inc.
Abstract: A computing resource service receives a request to retrieve data, wherein fulfillment of the request involves retrieval of representations of the data from a number of datastores maintained by the service. The service transmits requests to individual datastores to retrieve the representations of the data. Before all responses to these requests are received, the service evaluates any received responses to determine whether a quorum has been reached with regard to the representations of the data. If so, the service consolidates the representations of the data and provides the consolidated data to fulfill the request.
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