Patents by Inventor Chiranjeeb Buragohain
Chiranjeeb Buragohain has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 11789925Abstract: 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.Type: GrantFiled: August 16, 2019Date of Patent: October 17, 2023Assignee: Amazon Technologies, Inc.Inventors: Stefano Stefani, Chiranjeeb Buragohain, Jai Vasanth, Wei Xiao
-
Patent number: 11762693Abstract: 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.Type: GrantFiled: January 20, 2022Date of Patent: September 19, 2023Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Patent number: 11237870Abstract: 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.Type: GrantFiled: April 10, 2020Date of Patent: February 1, 2022Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Publication number: 20210103604Abstract: 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.Type: ApplicationFiled: September 11, 2020Publication date: April 8, 2021Applicant: Amazon Technologies, Inc.Inventors: 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
-
Patent number: 10810179Abstract: A distributed graph database that enables scaling and efficient processing is described. The distributed graph database can, for example, scale up to petabytes of data to enable transactional processing of graph data with low latency and low processing overhead. The distributed graph database can include a cluster of devices and a remote direct memory access (RDMA)-based communication layer to perform low latency messaging between devices of the cluster of devices. Additionally, the distributed graph database can include a shared memory layer that provides one or more data structures, a transaction layer to facilitate query processing, and a graph database layer stored in computer-readable media and executed on a processor to implement a graph data model. In at least one example, the graph data model can be mapped to the one or more data structures.Type: GrantFiled: May 13, 2016Date of Patent: October 20, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Knut Magne Risvik, Ming-Chuan Wu, Dushyanth Narayanan, Matthew Renzelmann, Alexander Shamis, Miguel Oom Temudo De Castro, Aleksandar Dragojevic, Chiranjeeb Buragohain, Richendra Khanna, Timothy Tan
-
Patent number: 10776395Abstract: 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.Type: GrantFiled: September 3, 2017Date of Patent: September 15, 2020Assignee: Amazon Technologies, Inc.Inventors: 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
-
Patent number: 10642653Abstract: 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.Type: GrantFiled: March 20, 2015Date of Patent: May 5, 2020Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Publication number: 20190370245Abstract: 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.Type: ApplicationFiled: August 16, 2019Publication date: December 5, 2019Applicant: Amazon Technologies, Inc.Inventors: Stefano Stefani, Chiranjeeb Buragohain, Jai Vasanth, Wei Xiao
-
Patent number: 10387402Abstract: 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.Type: GrantFiled: November 28, 2016Date of Patent: August 20, 2019Assignee: Amazon Technologies, Inc.Inventors: Stefano Stefani, Chiranjeeb Buragohain, Jai Vasanth, Wei Xiao
-
Patent number: 10360083Abstract: 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.Type: GrantFiled: May 9, 2016Date of Patent: July 23, 2019Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen
-
Patent number: 10296385Abstract: 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.Type: GrantFiled: July 22, 2016Date of Patent: May 21, 2019Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Publication number: 20170364574Abstract: 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.Type: ApplicationFiled: September 3, 2017Publication date: December 21, 2017Inventors: 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
-
Patent number: 9754009Abstract: 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.Type: GrantFiled: August 29, 2016Date of Patent: September 5, 2017Assignee: Amazon Technologies, Inc.Inventors: 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
-
Publication number: 20170091246Abstract: A distributed graph database that enables scaling and efficient processing is described. The distributed graph database can, for example, scale up to petabytes of data to enable transactional processing of graph data with low latency and low processing overhead. The distributed graph database can include a cluster of devices and a remote direct memory access (RDMA)-based communication layer to perform low latency messaging between devices of the cluster of devices. Additionally, the distributed graph database can include a shared memory layer that provides one or more data structures, a transaction layer to facilitate query processing, and a graph database layer stored in computer-readable media and executed on a processor to implement a graph data model. In at least one example, the graph data model can be mapped to the one or more data structures.Type: ApplicationFiled: May 13, 2016Publication date: March 30, 2017Inventors: Knut Magne Risvik, Ming-Chuan Wu, Dushyanth Narayanan, Matthew Renzelmann, Alexander Shamis, Miguel Oom Temudo De Castro, Aleksandar Dragojevic, Chiranjeeb Buragohain, Richendra Khanna, Timothy Tan
-
Publication number: 20170075949Abstract: 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.Type: ApplicationFiled: November 28, 2016Publication date: March 16, 2017Applicant: Amazon Technologies, Inc.Inventors: STEFANO STEFANI, CHIRANJEEB BURAGOHAIN, JAI VASANTH, WEI XIAO
-
Patent number: 9507818Abstract: 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.Type: GrantFiled: November 27, 2013Date of Patent: November 29, 2016Assignee: Amazon Technologies, Inc.Inventors: Stefano Stefani, Chiranjeeb Buragohain, Jai Vasanth, Wei Xiao
-
Publication number: 20160335123Abstract: 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.Type: ApplicationFiled: July 22, 2016Publication date: November 17, 2016Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Publication number: 20160253224Abstract: 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.Type: ApplicationFiled: May 9, 2016Publication date: September 1, 2016Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen
-
Patent number: 9400690Abstract: 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.Type: GrantFiled: September 14, 2012Date of Patent: July 26, 2016Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffry Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen, Zachary S. Musgrave
-
Patent number: 9336069Abstract: 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.Type: GrantFiled: February 10, 2014Date of Patent: May 10, 2016Assignee: Amazon Technologies, Inc.Inventors: Alex Maclinovsky, Blake Meike, Chiranjeeb Buragohain, Christopher Reddy Kommareddy, Geoffrey Scott Pare, John W. Heitmann, Sumit Lohia, Liang Chen