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1. 发明申请

US20160335123A1 DYNAMICALLY MODIFYING PROGRAM EXECUTION CAPACITY 审中-公开
公开(公告)号：US20160335123A1
公开(公告)日：2016-11-17
申请号：US15217535
申请日：2016-07-22
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffrey Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen , Zachary S. Musgrave
IPC分类号： G06F9/50 , G06F9/48
CPC分类号： G06F9/5011 , G06F9/4881 , G06F9/5061 , G06Q10/06 , G06Q30/04
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time, and with the aggregation of multiple determined modifications being able to be performed in various manners. Modifications may be requested or otherwise determined in various manners, including based on dynamic instructions specified by the user, and on satisfaction of triggers that are previously defined by the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

2. 发明授权

US11789925B2 System and method for conditionally updating an item with attribute granularity 有权
公开(公告)号：US11789925B2
公开(公告)日：2023-10-17
申请号：US16543116
申请日：2019-08-16
申请人： Amazon Technologies, Inc.
发明人： Stefano Stefani , Chiranjeeb Buragohain , Jai Vasanth , Wei Xiao
IPC分类号： G06F16/23 , G06F16/27
CPC分类号： G06F16/235 , G06F16/23 , G06F16/2365 , G06F16/278
摘要： A system that implements a scaleable data storage service may maintain tables in a non-relational data store on behalf of clients. Each table may include multiple items. Each item may include one or more attributes, each containing a name-value pair. Attribute values may be scalars or sets of numbers or strings. The system may provide an API usable to request that values of one or more of an item's attributes be updated. An update request may be conditional on expected values of one or more item attributes (e.g., the same or different item attributes). In response to a request to update the values of one or more item attributes, the previous values and/or updated values may be optionally returned for the updated item attributes or for all attributes of an item targeted by an update request. Items stored in tables may be indexed using a simple or composite primary key.

3. 发明授权

US10776395B2 System and method for implementing a scalable data storage service 有权
公开(公告)号：US10776395B2
公开(公告)日：2020-09-15
申请号：US15694828
申请日：2017-09-03
申请人： Amazon Technologies, Inc.
发明人： 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分类号： G06F16/27 , G06F16/20 , G06F16/21 , G06F16/215 , G06F16/25 , G06F16/22 , G06F9/50 , H04L29/08 , G06F12/0846
摘要： 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.

4. 发明授权

US09754009B2 System and method for implementing a scalable data storage service 有权
公开(公告)号：US09754009B2
公开(公告)日：2017-09-05
申请号：US15250435
申请日：2016-08-29
申请人： Amazon Technologies, Inc.
发明人： 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分类号： G06F17/30 , G06F9/50 , H04L29/08 , G06F12/0846
CPC分类号： 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
摘要： 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.

5. 发明申请

US20140157283A1 ATTRIBUTING CAUSALITY TO PROGRAM EXECUTION CAPACITY MODIFICATIONS 审中-公开
标题翻译：引导程序执行能力修改
公开(公告)号：US20140157283A1
公开(公告)日：2014-06-05
申请号：US14176944
申请日：2014-02-10
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffry Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen
IPC分类号： G06F9/54
CPC分类号： G06F9/542 , G06F9/50 , G06F9/543 , G06F2209/508 , G06Q20/085 , G06Q30/02 , G06Q30/0283
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time. In addition, various operations may be performed to attribute causality information or other responsibility for particular program execution capacity modifications that are performed, including by attributing a single event as causing one capacity modification, and a combination of multiple events as possible causes for another capacity modification. The techniques may in some situations be used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
摘要翻译：描述了用于管理程序执行能力的技术，例如为被提供用于为用户执行一个或多个程序的一组计算节点。在某些情况下，正在使用的计算节点组的动态程序执行能力修改可以以循环方式周期性地或以其他方式执行，例如聚合在一段时间内要求或以其他方式确定的多个修改。此外，可以执行各种操作以将所执行的特定程序执行能力修改的因果关系信息或其他责任包括通过将单个事件归因于导致一个容量修改，以及多个事件的组合作为另一容量修改的可能原因。在某些情况下，这些技术可以与代表服务的多个用户执行多个程序的基于费用的程序执行服务结合使用。

6. 发明授权

US10642653B2 Dynamically modifying program execution capacity 有权
公开(公告)号：US10642653B2
公开(公告)日：2020-05-05
申请号：US14664592
申请日：2015-03-20
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffrey Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen , Zachary S. Musgrave
IPC分类号： G06F9/50 , G06Q10/06 , G06Q30/04 , G06F9/48 , H04L29/08
CPC分类号： G06F9/5011 , G06F9/4881 , G06F9/5061 , G06Q10/06 , G06Q30/04 , H04L67/10 , H04L67/34 , Y04S10/54
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time, and with the aggregation of multiple determined modifications being able to be performed in various manners. Modifications may be requested or otherwise determined in various manners, including based on dynamic instructions specified by the user, and on satisfaction of triggers that are previously defined by the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

7. 发明授权

US10360083B2 Attributing causality to program execution capacity modifications 有权
公开(公告)号：US10360083B2
公开(公告)日：2019-07-23
申请号：US15150251
申请日：2016-05-09
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffrey Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen
IPC分类号： G06F9/50 , G06F9/54 , G06Q20/08 , G06Q30/02
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time. In addition, various operations may be performed to attribute causality information or other responsibility for particular program execution capacity modifications that are performed, including by attributing a single event as causing one capacity modification, and a combination of multiple events as possible causes for another capacity modification. The techniques may in some situations be used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

8. 发明授权

US09336069B2 Attributing causality to program execution capacity modifications 有权
标题翻译：归因于程序执行能力修改的因果关系
公开(公告)号：US09336069B2
公开(公告)日：2016-05-10
申请号：US14176944
申请日：2014-02-10
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffrey Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen
IPC分类号： G06F9/50 , G06F9/54 , G06Q30/02
CPC分类号： G06F9/542 , G06F9/50 , G06F9/543 , G06F2209/508 , G06Q20/085 , G06Q30/02 , G06Q30/0283
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time. In addition, various operations may be performed to attribute causality information or other responsibility for particular program execution capacity modifications that are performed, including by attributing a single event as causing one capacity modification, and a combination of multiple events as possible causes for another capacity modification. The techniques may in some situations be used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
摘要翻译：描述了用于管理程序执行能力的技术，例如为被提供用于为用户执行一个或多个程序的一组计算节点。在某些情况下，正在使用的计算节点组的动态程序执行能力修改可以以循环方式周期性地或以其他方式执行，例如聚合在一段时间内要求或以其他方式确定的多个修改。此外，可以执行各种操作以将所执行的特定程序执行能力修改的因果关系信息或其他责任包括通过将单个事件归因于导致一个容量修改，以及多个事件的组合作为另一容量修改的可能原因。在某些情况下，这些技术可以与代表服务的多个用户执行多个程序的基于费用的程序执行服务结合使用。

9. 发明授权

US11237870B1 Dynamically modifying program execution capacity 有权
公开(公告)号：US11237870B1
公开(公告)日：2022-02-01
申请号：US16846121
申请日：2020-04-10
申请人： Amazon Technologies, Inc.
发明人： Alex Maclinovsky , Blake Meike , Chiranjeeb Buragohain , Christopher Reddy Kommareddy , Geoffrey Scott Pare , John W. Heitmann , Sumit Lohia , Liang Chen , Zachary S. Musgrave
IPC分类号： G06F9/50 , G06Q10/06 , G06Q30/04 , G06F9/48 , H04L29/08
摘要： Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time, and with the aggregation of multiple determined modifications being able to be performed in various manners. Modifications may be requested or otherwise determined in various manners, including based on dynamic instructions specified by the user, and on satisfaction of triggers that are previously defined by the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

10. 发明申请

US20210103604A1 SYSTEM AND METHOD FOR IMPLEMENTING A SCALABLE DATA STORAGE SERVICE 有权
公开(公告)号：US20210103604A1
公开(公告)日：2021-04-08
申请号：US17019047
申请日：2020-09-11
申请人： Amazon Technologies, Inc.
发明人： 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分类号： G06F16/27 , G06F16/20 , G06F16/21 , G06F16/215 , G06F16/25 , G06F16/22 , G06F9/50 , H04L29/08
摘要： 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.

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