Patents by Inventor Gaurav Saxena

Gaurav Saxena 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).

  • Publication number: 20220237184
    Abstract: A primary query engine may receive a query and determine whether the query is eligible for performance at a secondary query engine. If eligible, the primary query engine may evaluate the availability of the first query engine to perform the query. The first query engine may determine whether to assign the query to the primary query engine or to the secondary query according to availability evaluation. For queries assigned to the secondary query engine, the primary query engine may send a request to the secondary query engine to being processing of the query.
    Type: Application
    Filed: April 15, 2022
    Publication date: July 28, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Ippokratis Pandis, Mengchu Cai, Mingda Li, Mohammad Rezaur Rahman, Naresh Chainani
  • Patent number: 11396309
    Abstract: A system for controlling vehicle sensors includes one or more processors and a memory coupled to the one or more processors and storing a sensor control module including instructions that control processor(s) to, if the vehicle is not moving, and responsive to occurrence of an event, control operation of at least one radar sensor to scan the vehicle occupant compartment at a first scanning rate. Responsive to an occurrence of another event following commencement of scanning at the first scanning rate, the processor(s) control operation of the at least one radar sensor to scan the occupant compartment at a second scanning rate different from the first scanning rate. After passage of a predetermined time period after commencement of scanning at the second scanning rate, it is determined whether a living object resides in the occupant compartment. If no living object resides in the occupant compartment, radar scanning of the occupant compartment is discontinued.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: July 26, 2022
    Assignee: Toyota Connected North America, Inc.
    Inventors: Simon P. Roberts, Daniel W. Reaser, Gaurav Saxena, Lance D. Jacobs
  • Patent number: 11354304
    Abstract: Stored procedures are generated to perform incremental updates to a materialized view for a database. When a request to create a materialized view is received, one or more internal tables are created from the database. A stored procedure is generated that when executed will update the materialized view of the database. The stored procedure may obtain changes to the database that were not included in the internal tables and update the internal tables to include the obtained changes. The stored procedure may be performed automatically and in response to requests.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: June 7, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Yannis Papakonstantinou, Vuk Ercegovac, Andre Hernich, Enrico Siragusa, Gaurav Saxena
  • Publication number: 20220171792
    Abstract: Methods, systems, and computer-readable media for ingestion partition auto-scaling in a time-series database are disclosed. A first set of one or more hosts divides elements of time-series data into a plurality of partitions. A second set of one or more hosts stores the elements of time-series data from the plurality of partitions into one or more storage tiers of a time-series database. An analyzer receives first data indicative of the resource usage of the time-series data at the first set of one or more hosts. The analyzer receives second data indicative of the resource usage of the time-series data at the second set of one or more hosts. Based at least in part on analysis of the first data and the second data, the analyzer initiates a split of an individual one of the partitions into two or more partitions.
    Type: Application
    Filed: February 18, 2022
    Publication date: June 2, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Mustafa Ozan Ozen, Dumanshu Goyal, Gaurav Gupta, Sen Yue, Nabanita Maji
  • Patent number: 11327970
    Abstract: Context dependent execution time prediction may be applied to redirect queries to additional query processing resources. A query to a database may be received at a first query engine. A prediction model for executing queries at the first query engine may be applied to determine predicted query execution time for the first query engine. A prediction model for executing queries at a second query engine may also be applied to determine predicted query execution time for the second query engine. One of the query engines may be selected to perform the query based on a comparison of the predicted query execution times.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: May 10, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Mingda Li, Gaurav Saxena, Naresh Chainani
  • Patent number: 11308100
    Abstract: A primary query engine may receive a query and determine whether the query is eligible for performance at a secondary query engine. If eligible, the primary query engine may evaluate the availability of the first query engine to perform the query. The first query engine may determine whether to assign the query to the primary query engine or to the secondary query according to availability evaluation. For queries assigned to the secondary query engine, the primary query engine may send a request to the secondary query engine to being processing of the query.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: April 19, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Ippokratis Pandis, Mengchu Cai, Mingda Li, Mohammad Rezaur Rahman, Naresh Chainani
  • Patent number: 11263184
    Abstract: Methods, systems, and computer-readable media for partition splitting in a distributed database are disclosed. A partition of data is split into a first sub-partition and a second sub-partition. A first portion of the data is assigned to the first sub-partition, and a second portion of the data is assigned to the second sub-partition. One or more elements of the first portion of the data from the partition and an additional one or more elements of the first portion of the data from the first sub-partition are stored into a first node. One or more elements of the second portion of the data from the partition and an additional one or more elements of the second portion of the data from the second sub-partition are stored into a second node. The partition is prevented from receiving new data after the partition is split into the first and second sub-partitions.
    Type: Grant
    Filed: August 29, 2018
    Date of Patent: March 1, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Mustafa Ozan Ozen, Dumanshu Goyal, Lonnie J. Princehouse, Gaurav Saxena, Atilim Cetin, Gaurav Gupta, Sandeep Bhatia, Nilesh Shahdadpuri, Timothy A. Rath, Eric Coll, Nirmesh Khandelwal
  • Patent number: 11256719
    Abstract: Methods, systems, and computer-readable media for ingestion partition auto-scaling in a time-series database are disclosed. A first set of one or more hosts divides elements of time-series data into a plurality of partitions. A second set of one or more hosts stores the elements of time-series data from the plurality of partitions into one or more storage tiers of a time-series database. An analyzer receives first data indicative of the resource usage of the time-series data at the first set of one or more hosts. The analyzer receives second data indicative of the resource usage of the time-series data at the second set of one or more hosts. Based at least in part on analysis of the first data and the second data, the analyzer initiates a split of an individual one of the partitions into two or more partitions.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: February 22, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Mustafa Ozan Ozen, Dumanshu Goyal, Gaurav Gupta, Sen Yue, Nabanita Maji
  • Patent number: 11256684
    Abstract: Algebraic operations are applied to change result sets for source tables to update a materialized view of a database incrementally. A procedure is determined for updating a materialized view that generates result sets for changes to source tables for a materialized view. The procedure performs one or more operations to update the materialized view using the result sets as operands in a relational algebra operator in the procedure to include the changes in the result sets in the materialized view.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: February 22, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Yannis Papakonstantinou, Vuk Ercegovac, Andre Hernich, Enrico Siragusa, Gaurav Saxena
  • Publication number: 20210309257
    Abstract: A system for controlling vehicle sensors includes one or more processors and a memory coupled to the one or more processors and storing a sensor control module including instructions that control processor(s) to, if the vehicle is not moving, and responsive to occurrence of an event, control operation of at least one radar sensor to scan the vehicle occupant compartment at a first scanning rate. Responsive to an occurrence of another event following commencement of scanning at the first scanning rate, the processor(s) control operation of the at least one radar sensor to scan the occupant compartment at a second scanning rate different from the first scanning rate. After passage of a predetermined time period after commencement of scanning at the second scanning rate, it is determined whether a living object resides in the occupant compartment. If no living object resides in the occupant compartment, radar scanning of the occupant compartment is discontinued.
    Type: Application
    Filed: April 3, 2020
    Publication date: October 7, 2021
    Inventors: Simon P. Roberts, Daniel W. Reaser, Gaurav Saxena, Lance D. Jacobs
  • Patent number: 11120052
    Abstract: Techniques are described for clustering data at the point of ingestion for storage using scalable storage resources. To cluster data at the point of ingestion, a data ingestion and query service uses a multilevel hash tree (MLHT)-based index to map a hierarchy of attribute values associated with each data element onto a point of a MLHT (which itself conceptually maps onto a continuous range of values). The total range of the MLHT is divided into one or more data partitions, each of which is mapped to one or more physical storage resources. A mapping algorithm uses the hierarchy of attribute fields to calculate the position of each data element ingested and, consequently, a physical storage resource at which to store the data element.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: September 14, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Mustafa Ozan Ozen, Sandeep Bhatia, Atilim Cetin, Lonnie J. Princehouse, Timothy Andrew Rath, Gaurav Saxena
  • Patent number: 10929188
    Abstract: One or more processors provide selective and piecemeal data loading and utilization. One or more processors prioritize, for loading, a data of a first data type and a data of a second data type. One or more processors generate a partially loaded data table by partially loading the data of the first data type and the data of the second data type into a table within a relational database. One or more processors utilize the partially loaded data table to execute a plurality of computing tasks.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: February 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Dattatreya Govindappanavar, Apoorv Kapse, Gaurav Saxena, Uttam Setty
  • Patent number: 10922316
    Abstract: Database queries may be performed using resources based on a determined size of the database query. Database query size may be dynamically determined for a database query when the query is received. The database query may be assigned to resources used for database queries of the determined size. In some embodiments, timeouts may be applied to reassign database queries to different resources if the performance of the database query exceeds a timeout threshold.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: February 16, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, George Constantin Caragea, Naresh Kishin Chainani, Martin Grund
  • Patent number: 10904588
    Abstract: Methods and apparatus are described for stitching independently encoded content streams together such that they appear to be part of a single streaming session.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: January 26, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Nathaniel Stewart, Lei Li, Mairo Pedrini, Patrick Joseph Lewis, Ravindra Ganti, Parminder Singh, Gaurav Saxena, Kent Haakan Karlsson, Yongjun Wu
  • Patent number: 10885127
    Abstract: A method, computer program product, and a system where a processor(s) monitors communications between one or more clients to a query engine, to identify requests to execute queries on the database resource. Based on identifying a requested query, the processor(s) applies cognitive analysis algorithms to parse components of the requested query, to identify components in the requested query that indicate an execution success measure for the requested query. The processor(s) determines the execution success measure for the requested query and assigns an execution action to the requested query: pre-empting the requested query or executing the requested query. The processor(s) facilitates this action on the requested query.
    Type: Grant
    Filed: August 2, 2018
    Date of Patent: January 5, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rohit Pandey, Gaurav Saxena, Azad Khan, Kapish Kumar
  • Publication number: 20200409949
    Abstract: Queries may be dynamically assigned to secondary query processing resources. A primary query engine may receive a query and determine whether the query is eligible for performance at a secondary query engine. If eligible, the primary query engine may evaluate the availability of the first query engine to perform the query. The first query engine may determine whether to assign the query to the primary query engine or to the secondary query according to availability evaluation. For queries assigned to the secondary query engine, the primary query engine may send a request to the secondary query engine to being processing of the query.
    Type: Application
    Filed: June 25, 2019
    Publication date: December 31, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Ippokratis Pandis, Mengchu Cai, Mingda Li, Mohammad Rezaur Rahman, Naresh Chainani
  • Patent number: 10841171
    Abstract: The disclosure provides activation of end to end virtual network services, along with various validations. This technology uses model driven architecture to convert the configurations to VNF/PNF specific commands and abstract the complexity of different types of syntax & command lines. This technology also provides test and diagnostic functionality including service connectivity check, performance, rate-limiting at each step of configuration at virtual infrastructure and functional level. Once the VNS is successfully applied, the configuration will be updated in database which can be referred for any future updates.
    Type: Grant
    Filed: November 7, 2018
    Date of Patent: November 17, 2020
    Assignee: INFOSYS LIMITED
    Inventors: Gaurav Saxena, Devendra Singh Rawat, Kishore Thota
  • Patent number: 10812559
    Abstract: Techniques are described for just-in-time variable adaptive encoding and delivery of media content. Fragments of media content are encoded at bitrates corresponding to available bandwidth of client devices. If the available bandwidth changes, the bitrate at which fragments are being encoded is adjusted to correspond with the changed bandwidth.
    Type: Grant
    Filed: January 18, 2017
    Date of Patent: October 20, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Benjamin Forman, Joseph Michael Pavey, Bobby Castleberry, Ravindra Ganti, Stephen Han, Euan McLeod, Gaurav Saxena, Nathaniel Stewart, Yongjun Wu
  • Publication number: 20200167361
    Abstract: Methods, systems, and computer-readable media for continuous functions in a time-series database are disclosed. A plurality of data points of a time series are stored into one or more storage tiers of a time-series database. The plurality of data points comprise a plurality of discrete measurements at respective timestamps. Using one or more query processors of the time-series database, a query of the time series is initiated. The query indicates a time range. Using the one or more query processors, a continuous function is determined that represents a segment of the time series in the time range. The continuous function is determined based at least in part on the plurality of data points. An operation is performed using the continuous function as an input.
    Type: Application
    Filed: November 23, 2018
    Publication date: May 28, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Lonnie J. Princehouse, Timothy A. Rath, Gaurav Gupta, Mustafa Ozan Ozen, Omer Ahmed Zaki, Karthik Gurumoorthy Subramanya Bharathy, Gaurav Saxena
  • Patent number: 10650016
    Abstract: A method, system and computer program product is disclosed for performing data ingestion. A request is received for data ingestion. Based on the request received, a client resource information with a server resource information is compared. After the comparing of client resource information with server resource information, location for formatting of data during data ingestion is determined. Further, in response to the determination of location, formatting of the data is performed at the determined location.
    Type: Grant
    Filed: March 4, 2016
    Date of Patent: May 12, 2020
    Assignee: International Business Machines Corporation
    Inventors: Charan A. C., Santosh Hegde, Mohan Narayanaswamy, Gaurav Saxena