-
公开(公告)号：US20230070982A1
公开(公告)日：2023-03-09
申请号：US17807679
申请日：2022-06-17
Applicant: Amazon Technologies, Inc.
Abstract: Aspects of a data environment, such as the cloning, hibernation, and recovery of databases, are managed using a separate control environment. A monitoring component of the control environment can periodically communicate with the data environment to determine any necessary actions to be performed, such as to recover from faults or events for a data instance in the data environment. A workflow can be instantiated that includes tasks necessary to perform actions such as recovery, hibernation, resumption from hibernation, or backup or cloning. Tasks of the workflow can cause certain jobs to be performed by host managers in the data environment to affect calls made to the control environment.
-
公开(公告)号：US11356337B2
公开(公告)日：2022-06-07
申请号：US16938997
申请日：2020-07-26
Applicant: Amazon Technologies, Inc.
Inventor： Jeff B. Beal , Alan Stuart Robbins , Jeromey R. Goetz , Brandon William Porter , Grant Alexander MacDonald McAlister , Joseph L. Ellsworth
IPC: G06F15/16 , H04L41/50 , H04L65/00 , H04L69/28 , H04L67/62 , H04L43/106 , H04L67/02 , H04L67/561 , G06F15/173
Abstract: Various embodiments of a system and method for tracking service requests are described. Embodiments may include call tree generation logic configured to receive multiple request identifiers associated with a respective one of multiple service requests. Each given request identifier may include an origin identifier, a depth value, and a request stack comprising one or more interaction identifiers. The call tree generation logic may also be configured to, based on multiple request identifiers that each include an origin identifier associated with a particular root request, generating a data structure that specifies a hierarchy of services called to fulfill that particular root request. Based on one or more of the interaction identifiers and one or more of the depth values, the generated data structure may specify for each given service of the hierarchy: a parent service that called the given service, and one or more child services called by the given service.
-
公开(公告)号：US10776395B2
公开(公告)日：2020-09-15
申请号：US15694828
申请日：2017-09-03
Applicant: Amazon Technologies, Inc.
Inventor： Swaminathan Sivasubramanian , Stefano Stefani , Chiranjeeb Buragohain , Rande A. Blackman , Timothy Andrew Rath , Raymond S. Bradford , Grant Alexander MacDonald McAlister , Jakub Kulesza , James R. Hamilton , Luis Felipe Cabrera
IPC: G06F16/27 , G06F16/20 , G06F16/21 , G06F16/215 , G06F16/25 , G06F16/22 , G06F9/50 , H04L29/08 , G06F12/0846
Abstract: A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.
-
公开(公告)号：US09806978B2
公开(公告)日：2017-10-31
申请号：US14216521
申请日：2014-03-17
Applicant: Amazon Technologies, Inc.
Inventor： Grant Alexander MacDonald McAlister , Swaminathan Sivasubramanian , Barry B. Hunter, Jr. , Silas M. Brazil
CPC classification number: H04L43/10 , G06F11/2028 , G06F11/203 , G06F11/2035 , G06F11/2069 , G06F11/2076 , G06F11/2082 , G06F11/3006 , G06F11/3055 , G06F2201/80 , G06F2201/86
Abstract: Replicated instances in a database environment provide for automatic failover and recovery. A monitoring component can obtain a lease enabling the component to periodically communicate with, and monitor, one or more data instances in the data environment, where the data instance can be a replicated instance including a primary and a secondary replica. For a large number of instances, the data environment can be partitioned such that each monitoring component can be assigned a partition of the workload. In the event of a failure of a monitoring component, the instances can be repartitioned and the remaining monitoring components can be assigned to the new partitions to substantially evenly distribute the workload.
-
公开(公告)号：US09754009B2
公开(公告)日：2017-09-05
申请号：US15250435
申请日：2016-08-29
Applicant: Amazon Technologies, Inc.
Inventor： Swaminathan Sivasubramanian , Stefano Stefani , Chiranjeeb Buragohain , Rande A. Blackman , Timothy Andrew Rath , Raymond S. Bradford , Grant Alexander MacDonald McAlister , Jakub Kulesza , James R. Hamilton , Luis Felipe Cabrera
IPC: G06F17/30 , G06F9/50 , H04L29/08 , G06F12/0846
CPC classification number: G06F17/30584 , G06F9/5061 , G06F12/0848 , G06F17/30286 , G06F17/30289 , G06F17/30303 , G06F17/30306 , G06F17/30321 , G06F17/30339 , G06F17/3056 , H04L67/02 , H04L67/1097 , H04L67/2804 , Y10S707/968 , Y10S707/972
Abstract: A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.
-
Patent Agency Ranking
公开(公告)号：US09432459B2
公开(公告)日：2016-08-30
申请号：US14579602
申请日：2014-12-22
Applicant: Amazon Technologies, Inc.
Inventor： Swaminathan Sivasubramanian , Stefano Stefani , Chiranjeeb Buragahain , Rande A. Blackman , Timothy Andrew Rath , Raymond S. Bradford , Grant Alexander MacDonald McAlister , Jakub Kulesza , James R. Hamilton , Luis Felipe Cabrera
CPC classification number: G06F17/30584 , G06F9/5061 , G06F12/0848 , G06F17/30286 , G06F17/30289 , G06F17/30303 , G06F17/30306 , G06F17/30321 , G06F17/30339 , G06F17/3056 , H04L67/02 , H04L67/1097 , H04L67/2804 , Y10S707/968 , Y10S707/972
Abstract: A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.
-
公开(公告)号：US09298728B2
公开(公告)日：2016-03-29
申请号：US14089616
申请日：2013-11-25
Applicant: Amazon Technologies, Inc.
CPC classification number: G06F11/1469 , G06F11/1443 , G06F11/1451 , G06F11/1464 , G06F11/2025 , G06F11/2028 , G06F11/2041 , G06F11/2048 , G06F11/2056 , G06F11/2064 , G06F11/2069 , G06F11/2076 , G06F11/2082 , G06F17/30174 , G06F17/30581
Abstract: Replicated instances in a database environment provide for automatic failover and recovery. A monitoring component can periodically communicate with a primary and a secondary replica for an instance, with each capable of residing in a separate data zone or geographic location to provide a level of reliability and availability. A database running on the primary instance can have information synchronously replicated to the secondary replica at a block level, such that the primary and secondary replicas are in sync. In the event that the monitoring component is not able to communicate with one of the replicas, the monitoring component can attempt to determine whether those replicas can communicate with each other, as well as whether the replicas have the same data generation version. Depending on the state information, the monitoring component can automatically perform a recovery operation, such as to failover to the secondary replica or perform secondary replica recovery.
-
8.发明授权Managing contingency capacity of pooled resources in multiple availability zones 有权管理多个可用区域中资源的应急能力公开(公告)号：US09208032B1
公开(公告)日：2015-12-08
申请号：US13894969
申请日：2013-05-15
Applicant: Amazon Technologies, Inc.
CPC classification number: G06F11/203 , G06F11/1435 , G06F11/1471 , G06F11/2094 , G06F11/2097 , G06F17/30283 , G06F2201/80 , G06F2201/805 , G06F2201/815 , G06Q40/04 , H04L41/0668 , H04L41/069 , H04L67/02
Abstract: A network-based services provider may reserve and provision primary resource instance capacity for a given service (e.g., enough compute instances, storage instances, or other virtual resource instances to implement the service) in one or more availability zones, and may designate contingency resource instance capacity for the service in another availability zone (without provisioning or reserving the contingency instances for the exclusive use of the service). For example, the service provider may provision resource instance(s) for a database engine head node in one availability zone and designate resource instance capacity for another database engine head node in another availability zone without instantiating the other database engine head node. While the service operates as expected using the primary resource instance capacity, the contingency resource capacity may be leased to other entities on a spot market. Leases for contingency instance capacity may be revoked when needed for the given service (e.g., during failover).
Abstract translation: 基于网络的服务提供商可以在一个或多个可用性区域中为给定服务（例如，足够的计算实例，存储实例或其他虚拟资源实例）预留和提供主资源实例容量，并且可以指定应急资源 另一个可用区域中的服务的实例容量（不提供或预留用于独占使用服务的应急实例）。 例如，服务提供商可以在一个可用性区域中为数据库引擎头节点提供资源实例，并且在另一个可用区域内为另一个数据库引擎头节点指定资源实例容量，而不实例化其他数据库引擎头节点。 虽然服务使用主要资源实例容量预期运行，但应急资源能力可以在现货市场上租赁给其他实体。 对于特定服务（例如，在故障转移期间）需要时，可能会撤销应急实例容量的租约。
-
公开(公告)号：US20240089264A1
公开(公告)日：2024-03-14
申请号：US18453086
申请日：2023-08-21
Applicant: Amazon Technologies, Inc.
Inventor： Grant Alexander MacDonald McAlister
CPC classification number: H04L63/104 , G06F21/604
Abstract: Access level and security group information can be updated for a data instance without having to take down or recycle the instance. A data instance created in a data environment will have at least one default security group. Permissions can be applied to the default security group to limit access via the data environment. A control security group can be created in a control environment and associated with the default security group. Permissions can be applied and updated with respect to the control security group without modifying the default security group, such that the data instance does not need to be recycled or otherwise made unavailable. Requests to perform actions with respect to the control security groups are made via the control environment, while allowing native access to the data via the data environment.
-
公开(公告)号：US20230280908A1
公开(公告)日：2023-09-07
申请号：US18171209
申请日：2023-02-17
Applicant: Amazon Technologies, Inc.
Inventor： Swaminathan Sivasubramanian , Stefano Stefani , Wei Xiao , Timothy Andrew Rath , Rande A. Blackman , Grant Alexander MacDonald McAlister , Raymond S. Bradford
IPC: G06F3/06
CPC classification number: G06F3/0613 , G06F3/0631 , G06F3/0683 , G06F3/0608 , H04L67/1097
Abstract: A system that implements a scaleable data storage service may maintain tables in a data store on behalf of storage service clients. The service may maintain data in partitions stored on respective computing nodes in the system. The service may support multiple throughput models, including a committed throughput model and a best effort throughput model. A service request to create a table may specify that requests directed to the table should be serviced under a committed throughput model and may specify the committed throughput level in terms of logical service request units. The service may reserve low-latency storage and other resources sufficient to meet the specified committed throughput level. A client/user may request a modification to the committed throughput level in anticipation of workload changes, such as an increase or decrease in traffic or data volume. In response, the system may increase or decrease the resources reserved for the table.
-
-
-
-
-
-
-
-
-
Search Results
55
records
(took 0.055 seconds)
