Patents by Inventor Mohammad Rezaur Rahman

Mohammad Rezaur Rahman 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: 11868359
    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: April 15, 2022
    Date of Patent: January 9, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Ippokratis Pandis, Mengchu Cai, Mingda Li, Mohammad Rezaur Rahman, Naresh Chainani
  • Patent number: 11762860
    Abstract: Database systems may dynamically management concurrency levels for performing queries. A query may be received at a database system and a memory usage for the query may be predicted. A determination may be made as to whether available memory is enough to satisfy the predicted memory usage for the query. If the available memory is enough to satisfy the predicted memory usage for the query, then an increase in a concurrency level for performing queries at the database system may be made. The query may be allowed to execute concurrently with other queries according to the increased concurrency level.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: September 19, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Mohammad Rezaur Rahman, George Constantin Caragea, Raj Narayan Sett, Gaurav Saxena, Naresh Chainani, Chunbin Lin
  • Patent number: 11727003
    Abstract: Scaling of query processing resources for efficient utilization and performance is implemented for a database service. A query is received via a network endpoint associated with a database managed by a database service. Respective response times predicted for the query using different query processing configurations available to perform the query are determined. Those query processing configurations with response times that exceed a variability threshold determined for the query may be excluded. A remaining query processing configuration may then be selected to perform the query.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: August 15, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Balakrishnan Narayanaswamy, Ippokratis Pandis, Naresh Chainani, Mohammad Rezaur Rahman, Davide Pagano, Fabian Oliver Nagel
  • Publication number: 20230169079
    Abstract: Scaling of query processing resources for efficient utilization and performance is implemented for a database service. A query is received via a network endpoint associated with a database managed by a database service. Respective response times predicted for the query using different query processing configurations available to perform the query are determined. Those query processing configurations with response times that exceed a variability threshold determined for the query may be excluded. A remaining query processing configuration may then be selected to perform the query.
    Type: Application
    Filed: December 10, 2021
    Publication date: June 1, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Gaurav Saxena, Balakrishnan Narayanaswamy, Ippokratis Pandis, Naresh Chainani, Mohammad Rezaur Rahman, Davide Pagano, Fabian Oliver Nagel
  • Patent number: 11537616
    Abstract: Performance measures are predicted for queries to prioritize query performance at a database system. A trained machine learning model for the database system may be applied to a query to determine a predicted performance measure for the query. The predicted performance measure may be compared with other predicted performance measures for other waiting queries to determine a priority for executing the query.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: December 27, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Chunbin Lin, Naresh Chainani, Gaurav Saxena, George Constantin Caragea, Mohammad Rezaur Rahman
  • 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: 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
  • 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