Patents by Inventor Amit Ganesh

Amit Ganesh 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: 11138852
    Abstract: Embodiments relate generally to systems and methods for communicating data from a flame detector. A method may comprise detecting, by the flame detector, data related to a fire event; communicating, by the flame detector, the fire event data to a wireless device; forwarding, by the wireless device, the fire event data to a cloud database; accessing the fire event data, via the cloud database, by a central server controlled by an operator of the flame detector; analyzing, by the central server, the fire event data; automatically generating a report based on the analysis of the fire event data, by the central server; and communicating the generated report to a customer employing the flame detector.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: October 5, 2021
    Assignee: Honeywell International Inc.
    Inventors: Bharat Kumar Mallela, Akshay Krishnaji Ratnaparkhe, Amit Garg, Bindu Ganesh, Sheetal Hanagandi, Abhishek Mathur
  • Patent number: 11132341
    Abstract: A method, apparatus, and system for automated information lifecycle management using low access patterns in a database management system are provided. A user or the database can store policy data that defines an archiving action when meeting an activity-level condition on one or more database objects. The archiving actions may include compression, data movement, and other actions to place the database object in an appropriate storage tier for a lifecycle phase of the database object. The activity-level condition may specify the database object meeting a low access pattern, optionally for a minimum time period. Various criteria including access statistics for the database object and cost characteristics of current and target compression levels or storage tiers may be considered to determine the meeting of the activity-level condition. The policies may be evaluated on an adjustable periodic basis and may utilize a task scheduler for minimal performance impact.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: September 28, 2021
    Assignee: Oracle International Corporation
    Inventors: Vineet Marwah, Hariharan Lakshmanan, Ajit Mylavarapu, Prashant Gaharwa, Amit Ganesh
  • Patent number: 11126620
    Abstract: Techniques are provided for automatic verification of query results obtained from data formatted different from row-major format. Techniques are also provided for automatic triage of query results obtained from data formatted different from row-major format. In an embodiment, the query results may be obtained from querying data formatted in column-major format. In an embodiment, when the query results are determined to be incorrect, a cause of the error in the query results can be automatically identified.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: September 21, 2021
    Assignee: Oracle International Corporation
    Inventors: Roger MacNicol, Amit Ganesh, Teck Hua Lee, Vineet Marwah, Aurosish Mishra
  • Publication number: 20210286611
    Abstract: Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.
    Type: Application
    Filed: May 27, 2021
    Publication date: September 16, 2021
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Amit Ganesh, Uri Shaft, Prasad Ravuri, Long Yang, Sampanna Shahaji Salunke, Sumathi Gopalakrishnan, Timothy Mark Frazier, Shriram Krishnan
  • Publication number: 20210277013
    Abstract: The present disclosure relates to novel processes for the preparation of short acting benzodiazepines as well as to novel intermediates in this process. More particularly the disclosure relates to processes and intermediates for preparation of Methyl 3-[(4S)-8-bromo-1-methyl-6-(pyridin-2-yl)-4H-imidazo[1,2-a][1,4]benzodiazepin-4-yl]propanoate, commonly known as Remimazolam. The present disclosure also relates to solid state forms of Remimazolam salts, processes for the preparation thereof, pharmaceutical formulations/compositions thereof, and methods of use thereof.
    Type: Application
    Filed: May 24, 2021
    Publication date: September 9, 2021
    Inventors: Dolitzky Ben-Zion, Mendelovici Marioara, Bodkhe Arjun Rajaram, Mane Ganesh Shivaji, Samala Rajamouli Srihari, Joshi Ashutosh Vijay, Parven Kumar Luthra, Amit Singh, Anantha Rajmohan Muthusamy
  • Patent number: 11113250
    Abstract: Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: September 7, 2021
    Assignee: Oracle International Corporation
    Inventors: Liang Guo, Vivekanandhan Raja, Amit Ganesh, Joshua Gould
  • Patent number: 11023221
    Abstract: Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.
    Type: Grant
    Filed: April 21, 2020
    Date of Patent: June 1, 2021
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Amit Ganesh, Uri Shaft, Prasad Ravuri, Long Yang, Sampanna Shahaji Salunke, Sumathi Gopalakrishnan, Timothy Mark Frazier, Shriram Krishnan
  • Publication number: 20210149847
    Abstract: A method, apparatus, and system for policy driven data placement and information lifecycle management in a database management system are provided. A user or database application can specify declarative policies that define the movement and transformation of stored database objects. The policies are associated with a database object and may also be inherited. A policy defines, for a database object, an archiving action to be taken, a scope, and a condition before the archiving action is triggered. Archiving actions may include compression, data movement, table clustering, and other actions to place the database object into an appropriate storage tier for a lifecycle phase of the database object. Conditions based on access statistics can be specified at the row level and may use segment or block level heatmaps. Policy evaluation occurs periodically in the background, with actions queued as tasks for a task scheduler.
    Type: Application
    Filed: January 26, 2021
    Publication date: May 20, 2021
    Inventors: Vineet Marwah, Hariharan Lakshmanan, Ajit Mylavarapu, Prashant Gaharwar, Amit Ganesh
  • Patent number: 10949403
    Abstract: A method, apparatus, and system for policy driven data placement and information lifecycle management in a database management system are provided. A user or database application can specify declarative policies that define the movement and transformation of stored database objects. The policies are associated with a database object and may also be inherited. A policy defines, for a database object, an archiving action to be taken, a scope, and a condition before the archiving action is triggered. Archiving actions may include compression, data movement, table clustering, and other actions to place the database object into an appropriate storage tier for a lifecycle phase of the database object. Conditions based on access statistics can be specified at the row level and may use segment or block level heatmaps. Policy evaluation occurs periodically in the background, with actions queued as tasks for a task scheduler.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: March 16, 2021
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Vineet Marwah, Hariharan Lakshmanan, Ajit Mylavarapu, Prashant Gaharwar, Amit Ganesh
  • Publication number: 20210073680
    Abstract: Techniques are described for applying what-f analytics to simulate performance of computing resources in cloud and other computing environments. In one or more embodiments, a plurality of time-series datasets are received including time-series datasets representing a plurality of demands on a resource and datasets representing performance metrics for a resource. Based on the datasets at least one demand propagation model and at least one resource prediction model are trained. Responsive to receiving an adjustment to a first set of one or more values associated with a first demand: (a) a second adjustment is generated for a second set of one or more values associated with a second demand; and (b) a third adjustment is generated for a third set of one or more values that is associated with the resource performance metric.
    Type: Application
    Filed: September 22, 2020
    Publication date: March 11, 2021
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Sampanna Shahaji Salunke, Uri Shaft, Amit Ganesh, Sumathi Gopalakrishnan
  • Patent number: 10915830
    Abstract: Techniques are described for generating predictive alerts. In one or more embodiments, a seasonal model is generated, the seasonal model representing one or more seasonal patterns within a first set of time-series data, the first set of time-series data comprising data points from a first range of time. A trend-based model is also generated to represent trending patterns within a second set of time-series data comprising data points from a second range of time that is different than the first range of time. A set of forecasted values is generated based on the seasonal model and the trend-based model. Responsive to determining that a set of alerting thresholds has been satisfied based on the set of forecasted values, an alert is generated.
    Type: Grant
    Filed: July 6, 2017
    Date of Patent: February 9, 2021
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Sampanna Shahaji Salunke, Uri Shaft, Amit Ganesh, Sumathi Gopalakrishnan
  • Patent number: 10855548
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: December 1, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Neil Goodman, Sampanna Shahaji Salunke, Brent Arthur Enck, Sumathi Gopalakrishnan, Amit Ganesh, Timothy Mark Frazier
  • Patent number: 10838933
    Abstract: A method, apparatus, and system for periodic performance optimization through heatmap based management of an in-memory area are provided. A heatmap is maintained to track database accesses, and a sliding most recent time window of the heatmap is externalized to a desired granularity level to provide access statistics regarding candidate elements to be possibly placed in the in-memory area. Initially and on a periodic basis, an appropriate knapsack algorithm is chosen based on an analysis on the computational costs versus the benefits of applying various knapsack algorithms for the candidate elements. Using the chosen algorithm in conjunction with a selected performance model, an optimized configuration of the in-memory area is determined. The optimized configuration indicates a set of elements chosen from the candidate elements, optionally specified with compression levels.
    Type: Grant
    Filed: October 23, 2015
    Date of Patent: November 17, 2020
    Assignee: Oracle International Corporation
    Inventors: Vineet Marwah, Amit Ganesh, Hariharan Lakshmanan, Prashant Gaharwar, Dhruvil Shah
  • Patent number: 10817803
    Abstract: Techniques are described for applying what-f analytics to simulate performance of computing resources in cloud and other computing environments. In one or more embodiments, a plurality of time-series datasets are received including time-series datasets representing a plurality of demands on a resource and datasets representing performance metrics for a resource. Based on the datasets at least one demand propagation model and at least one resource prediction model are trained. Responsive to receiving an adjustment to a first set of one or more values associated with a first demand: (a) a second adjustment is generated for a second set of one or more values associated with a second demand; and (b) a third adjustment is generated for a third set of one or more values that is associated with the resource performance metric.
    Type: Grant
    Filed: June 2, 2017
    Date of Patent: October 27, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Sampanna Shahaji Salunke, Uri Shaft, Amit Ganesh, Sumathi Gopalakrishnan
  • Patent number: 10789065
    Abstract: Techniques for analyzing, understanding, and remediating differences in configurations among many software resources are described herein. Machine learning processes are applied to determine a small feature set of parameters from among the complete set of parameters configured for each software resource. The feature set of parameters is selected to optimally cluster configuration instances for each of the software resources. Once clustered based on the values of the feature set of parameters, a graph is generated for each cluster of configuration instances that depicts the differences among the configuration instances within the cluster. An interactive visualization tool renders the graph in a user interface, and a management tool allows changes to the graph and changes to the configuration of one or more software resources.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: September 29, 2020
    Assignee: Oracle lnternational Corporation
    Inventors: Dustin Garvey, Amit Ganesh, Timothy Mark Frazier, Shriram Krishnan, Sr., Uri Shaft, Prasad Ravuri, Sampanna Shahaji Salunke, Sumathi Gopalakrishnan
  • Publication number: 20200267057
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 20, 2020
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Neil Goodman, Sampanna Shahaji Salunke, Brent Arthur Enck, Sumathi Gopalakrishnan, Amit Ganesh, Timothy Mark Frazier
  • Publication number: 20200257663
    Abstract: A method, apparatus, and system for tracking row and object database activity into block level heatmaps is provided. Database activity including reads, writes, and creates can be tracked by a database management system at the finest possible level of granularity, or the row and object level. To efficiently record the tracked database activity, a two-part structure is described for writing the activity into heatmaps. A hierarchical in-memory component may use a dynamically allocated sparse pool of bitmap blocks. Periodically, the in-memory component is persisted to a stored representation component, sharable with multiple database instances, which may include consolidated last access times and/or a history of heatmap snapshots to reflect access over time. The heatmaps may then be externalized to database users and applications to provide and support a variety of features.
    Type: Application
    Filed: April 28, 2020
    Publication date: August 13, 2020
    Inventors: Vineet Marwah, Sujatha Muthulingam, Amit Ganesh
  • Publication number: 20200249931
    Abstract: Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.
    Type: Application
    Filed: April 21, 2020
    Publication date: August 6, 2020
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Amit Ganesh, Uri Shaft, Prasad Ravuri, Long Yang, Sampanna Shahaji Salunke, Sumathi Gopalakrishnan, Timothy Mark Frazier, Shriram Krishnan
  • Patent number: 10678760
    Abstract: A method, apparatus, and system for tracking row and object database activity into block level heatmaps is provided. Database activity including reads, writes, and creates can be tracked by a database management system at the finest possible level of granularity, or the row and object level. To efficiently record the tracked database activity, a two-part structure is described for writing the activity into heatmaps. A hierarchical in-memory component may use a dynamically allocated sparse pool of bitmap blocks. Periodically, the in-memory component is persisted to a stored representation component, sharable with multiple database instances, which may include consolidated last access times and/or a history of heatmap snapshots to reflect access over time. The heatmaps may then be externalized to database users and applications to provide and support a variety of features.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: June 9, 2020
    Assignee: Oracle International Corporation
    Inventors: Vineet Marwah, Sujatha Muthulingam, Amit Ganesh
  • Patent number: 10678788
    Abstract: Techniques are provided for storing in in-memory unit (IMU) in a lower-storage tier and copying the IMU to DRAM when needed for query processing. Techniques are also provided for copying IMUs to lower tiers of storage when evicted from the cache of higher tiers of storage. Techniques are provided for implementing functionality of IMUs within a storage system, to enable database servers to push tasks, such as filtering, to the storage system where the storage system may access IMUs within its own memory to perform the tasks. Metadata associated with a set of data may be used to indicate whether an IMU for the data should be created by the database server machine or within the storage system.
    Type: Grant
    Filed: October 21, 2016
    Date of Patent: June 9, 2020
    Assignee: Oracle International Corporation
    Inventors: Roger D. Macnicol, Viral Shah, Xia Hua, Jesse Kamp, Shasank K. Chavan, Maria Colgan, Tirthankar Lahiri, Adrian Tsz Him Ng, Krishnan Meiyyappan, Amit Ganesh, Juan R. Loaiza, Kothanda Umamageswaran, Yiran Qin