Patents by Inventor Govindaswamy Bacthavachalu
Govindaswamy Bacthavachalu 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).
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Patent number: 11422853Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: August 29, 2019Date of Patent: August 23, 2022Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Publication number: 20200057672Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: ApplicationFiled: August 29, 2019Publication date: February 20, 2020Applicant: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, JR.
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Patent number: 9996593Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: August 5, 2014Date of Patent: June 12, 2018Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 9489237Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: June 19, 2015Date of Patent: November 8, 2016Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 9063976Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: December 16, 2013Date of Patent: June 23, 2015Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 8738645Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: April 28, 2011Date of Patent: May 27, 2014Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 8612476Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: September 14, 2012Date of Patent: December 17, 2013Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 8312037Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: August 28, 2008Date of Patent: November 13, 2012Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.
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Patent number: 8150889Abstract: Data can be processed in parallel across a cluster of nodes using a parallel processing framework. Using Web services calls between components allows the number of nodes to be scaled as necessary, and allows developers to build applications on the framework using a Web services interface. A job scheduler works together with a queuing service to distribute jobs to nodes as the nodes have capacity, such that jobs can be performed in parallel as quickly as the nodes are able to process the jobs. Data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.Type: GrantFiled: August 28, 2008Date of Patent: April 3, 2012Assignee: Amazon Technologies, Inc.Inventors: Govindaswamy Bacthavachalu, Peter Grant Gavares, Ahmed A. Badran, James E. Scharf, Jr.