Patents Examined by Joseph R Kudirka
  • Patent number: 11907046
    Abstract: An edge computing device is provided including at least one memory configured to store computer program code and at least one processor configured to access said computer program code and operate as instructed by said computer program code. The edge computing device is included in a distributed object identification system, which includes a plurality of edge computing devices, and the edge computing device is determined as a central control device based on election from the plurality of edge computing devices. The computer program code includes first capturing code configured to cause the at least one processor to capture a video stream of an environment and first obtaining code configured to cause the at least one processor to obtain identity information of an object in the video stream by performing object identification on the video stream.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: February 20, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Wenxing Lai
  • Patent number: 11907051
    Abstract: A method, computer system, and computer program product for data monitoring management are provided. A first invalid zero value candidate from a data stream is received. A memory location for the first invalid zero value candidate is received. At a first time an access connection to the memory location is established. At a second time subsequent to the first time the access connection to the memory location is checked. Based on the checking, a determination is made whether the first invalid zero value candidate contains an invalid zero value.
    Type: Grant
    Filed: September 7, 2022
    Date of Patent: February 20, 2024
    Assignee: International Business Machines Corporation
    Inventors: Bo Chen Zhu, Cheng Fang Wang, Ai Ping Feng, Xinzhe Wang, Yan Ting Li, Hong Yan Gu
  • Patent number: 11907050
    Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for diagnosing faults in a software stack by running a subset of processes of the software stack. An existence of a fault associated with running a software stack is determined. The software stack includes a plurality of dependent processes. An incrementing larger subset of the software stack is run according to one or more error thresholds associated with executing corresponding dependent processes in the incrementing larger subset. The incrementing larger subset includes an increasing number of processes of the plurality of dependent processes. One or more sources of the fault are diagnosed based on the running of the incrementing larger subset of the software stack.
    Type: Grant
    Filed: September 15, 2022
    Date of Patent: February 20, 2024
    Assignee: GM Cruise Holdings LLC
    Inventor: Ishan Singh
  • Patent number: 11907078
    Abstract: In a data backup method, after data backup is triggered, a backup server sends a change information obtaining request to a file server to request change information of data on the file server. The backup server receives a data change record returned by a file server, wherein the data change record comprises identification information of a changed data block. The backup server then obtains data according to the data change record, backs up the obtained data, and establishes a data mapping relationship for the current backup. When data of a backup needs to be obtained, data of a corresponding data block is found in the backup storage device according to the data mapping relationship.
    Type: Grant
    Filed: April 20, 2021
    Date of Patent: February 20, 2024
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventor: Lei Zhang
  • Patent number: 11892917
    Abstract: A storage appliance may be configured to perform a method to evaluate a failover procedure. The method may include receiving a trigger indication to perform a test failover procedure for a plurality of virtual machines and identifying, based on receiving the trigger indication, a set of procedures for performing a full failover procedure on a target system based at least in part on a recovery configuration for the plurality of virtual machines. The method may include selecting a subset of test procedures of the set of procedures, causing execution on the target system of the subset of test procedures on a subset of virtual machines of the plurality of virtual machines, and calculating, based at least in part on the execution of the subset of test procedures on the subset of virtual machines, a success metric associated with the full failover procedure for the plurality of virtual machines.
    Type: Grant
    Filed: March 16, 2022
    Date of Patent: February 6, 2024
    Assignee: Rubrik, Inc.
    Inventors: Abhishek Kumar, Shaomin Chen, Harmeet Kaur, Muraliraja Muniraju, Angela Huang, Hongbo Zou
  • Patent number: 11892908
    Abstract: A method includes obtaining, by a computing device of a storage network, provenance information for data associated with a set of storage units of the storage network, where the data is error encoded into a set of encoded data slices, in accordance with error encoding parameters, for storage in the set of storage units. The method further includes determining, by the computing device, probable error locations associated with the set of storage units based on the provenance information. The method further includes scanning, by the computing device, the probable error locations to determine whether an error exists for the set of encoded data slices.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: February 6, 2024
    Assignee: Pure Storage, Inc.
    Inventors: Ahmad Alnafoosi, Jason K. Resch
  • Patent number: 11892900
    Abstract: Some embodiments of the invention provide methods for performing root cause analysis for non-deterministic anomalies in a datacenter. For instance, the method of some embodiments identifies a root cause for degradation in performance of one or more components in a network of the datacenter. This method collects and generates resource consumption data regarding resources consumed by a set of components in this network. The method performs a first analysis on the collected and/or generated data to identify an instance in time when one or more components, while still operational, are possibly suffering from performance degradation. The method then performs a second analysis on the collected and/or generated data associated with the identified time instance to identify a root cause of a performance degradation of at least one component in the network.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: February 6, 2024
    Assignee: VMware LLC
    Inventors: Girish Nadger, Somenath Pal, Somaresh Sahu
  • Patent number: 11886285
    Abstract: Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: January 30, 2024
    Assignee: eBay Inc.
    Inventors: Maxwell Henry Poole, Satish Sambasivan, Vivek Siva Kaushik
  • Patent number: 11886283
    Abstract: A computer-implemented method includes: detecting, by one or more processors, an indication that suggests a node has crashed, wherein the node is included in a distributed computing environment; in response to the detecting, confirming by the one or more processors whether the node has crashed by performing a set of probes on the node; and in response to the confirming that the node has crashed, initiating by the one or more processors a remediation of the node.
    Type: Grant
    Filed: March 30, 2022
    Date of Patent: January 30, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Kevin Allen Hughes, Juan Jose Alvarez, Malcolm S. Allen-Ware, Charles Lefurgy, Guillermo Jesus Silva
  • Patent number: 11880226
    Abstract: A method comprising the steps of responding to expiration of a timer, transmitting a signal from the timer to circuitry; responsive to receiving the signal, retrieving by the circuitry (i) first values stored in an analog array, and (ii) second values stored in a digital non-volatile memory; performing, by the circuitry, operations comprising a comparison of the first values and the second values; analyzing, by the circuitry, results of the comparison to determine whether an error is greater than or equal to a predefined threshold; responsive to determining the error is greater than or equal to the predefined threshold, initiating, by the circuitry, operations to reprogram the analog array with the second value is described.
    Type: Grant
    Filed: April 9, 2022
    Date of Patent: January 23, 2024
    Assignee: Syntiant
    Inventors: Kurt F. Busch, Jeremiah H. Holleman, III, Pieter Vorenkamp, Stephen W. Bailey
  • Patent number: 11874732
    Abstract: Described systems and techniques determine causal associations between events that occur within an information technology landscape. Individual situations that are likely to represent active occurrences requiring a response may be identified as causal event clusters, without requiring manual tuning to determine cluster boundaries. Consequently, it is possible to identify root causes, analyze effects, predict future events, and prevent undesired outcomes, even in complicated, dispersed, interconnected systems.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: January 16, 2024
    Assignee: BMC Software, Inc.
    Inventors: Sai Eswar Garapati, Erhan Giral
  • Patent number: 11868207
    Abstract: As described herein, a system, method, and computer program are provided for intelligent self-healing optimization for fallout reduction. A set of self-healing rules are stored that are configured to provide resolutions to failures detected in a computer process. Data associated with use of the self-healing rules is collected. The data is processed using a machine learning model to generate one or more recommendations for optimizing the set of self-healing rules. The one or more recommendations are output.
    Type: Grant
    Filed: March 7, 2022
    Date of Patent: January 9, 2024
    Assignee: AMDOCS DEVELOPMENT LIMITED
    Inventors: Anat Shachar, Vivi Miranda
  • Patent number: 11868236
    Abstract: Certain aspects of the present disclosure provide techniques for handling crash events in a software application using application-agnostic machine learning models. An example method generally includes receiving a data set of crash reports from a software application for analysis. Using a first neural network, a representation of each respective crash report in the data set is generated. The data set of crash reports and a mapping between functions in the software application and a multidimensional space are input into the first neural network. Each respective crash report in the data set is classified using a second neural network and the representation of each crash report in the data set. One or more actions are taken with respect to the software application based on the classifying each respective crash report in the data set.
    Type: Grant
    Filed: July 27, 2021
    Date of Patent: January 9, 2024
    Assignee: INTUIT INC.
    Inventors: Sudhindra A, Sri Aurobindo Munagala
  • Patent number: 11860717
    Abstract: Various methods and systems for tracking incomplete purchases in correlation with application performance, such as application errors or crashes, are provided. In this regard, aspects of the invention facilitate monitoring transaction and application error events and analyzing data associated therewith to identify data indicating an impact of incomplete purchases in relation to an error(s) such that application performance can be improved. In various implementations, application data associated with an application installed on a mobile device is received. The application data is used to determine that an error that occurred in association with the application installed on the mobile device correlates with an incomplete monetary transaction initiated via the application. Based on the error correlating with the incomplete monetary transaction, a transaction attribute associated with the error is determined.
    Type: Grant
    Filed: October 11, 2022
    Date of Patent: January 2, 2024
    Assignee: Splunk Inc.
    Inventor: Konstantinos Polychronis
  • Patent number: 11860722
    Abstract: An example method includes receiving incident data for historical incidents of downtime or interrupted service. The incident data includes identification information about one or more first computing applications, devices, or services affected by the downtime or the interrupted service. The incident data further includes timing information relating to the historical incidents and version history information of the one or more first computing applications, devices, or services. The method further includes receiving root cause data indicating a cause of the historical incidents and receiving action data indicating a corrective or preventative action taken or to be taken in response to each of the historical incidents. The method further includes training a machine learning algorithm using the incident, root cause, and action data to create a trained model configured to determine a root cause and a new corrective or preventative action for a new incident.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: January 2, 2024
    Assignee: Capital One Services, LLC
    Inventors: Amy Shen, Gaurav Jain, George N. Irish, Donald Gennetten
  • Patent number: 11860710
    Abstract: Systems and methods associated with incident prediction using machine learning techniques are disclosed. In one embodiment, an exemplary method may comprise obtaining current raw log data from at least one application log of at least one software application, converting the current raw log data into current tabular log data, applying one or more sampling techniques to the current tabular log data to form current balanced log data, the current balanced log data including incidents of failures, applying one or more machine learning techniques to the current balanced log data to generate an application failure predictive model, and predicting, based on future balanced log data, at least one future failure of the software application using the application failure predictive model.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: January 2, 2024
    Assignee: Capital One Services, LLC
    Inventors: Suvro Choudhury, Cameron Stinson, Kellie Meshell, Henry Real, Rajarshi Kar
  • Patent number: 11860712
    Abstract: A computer-implemented method to identify and remediate a failing sensor. The method includes identifying a set of sensors in an Internet of Things (IoT) system including a first sensor, where the IoT system is configured to perform at least one action, the IoT system includes one or more IoT devices, each sensor is correlated to one IoT device of the one or more IoT devices, and each sensor sends an output data feed to the IoT system including a first data feed for the first sensor. The method further includes predicting, by a generative adversarial network (GAN), an expected output of the first sensor. The method also includes determining that a difference between the expected output and an actual output of the first sensor exceeds a first threshold. The method includes replacing, in response the difference exceeding the first threshold, the first data feed with a first generated data feed.
    Type: Grant
    Filed: August 24, 2022
    Date of Patent: January 2, 2024
    Assignee: International Business Machines Corporation
    Inventors: Zachary A. Silverstein, Jacob Ryan Jepperson, Jeremy R. Fox, Spencer Thomas Reynolds
  • Patent number: 11853164
    Abstract: Continuous value data redundancy, including: receiving, by a storage system, a dataset; determining, based on a data resiliency metric, an integer redundancy value for the dataset from among a plurality of redundancy values; and generating, based on the integer redundancy value for the dataset, data recovery information for the dataset, wherein the integer redundancy value for the dataset is different from at least one other integer redundancy value for another dataset stored within the storage system.
    Type: Grant
    Filed: November 3, 2022
    Date of Patent: December 26, 2023
    Assignee: PURE STORAGE, INC.
    Inventors: Timothy Brennan, Andrew Bernat, Peter Kirkpatrick, Wei Tang
  • Patent number: 11841761
    Abstract: A method for tracing an error of a logic system design includes obtaining an assertion failure of a combinational cone of the logic system design, the combinational cone including a plurality of sub-cones; and obtaining machine learning models of the sub-cones. Each sub-cone represents a sub-circuitry of the logic system design and has one or more input signals and an output signal. The assertion failure indicates an actual signal value of the combinational cone at a current clock cycle being different from an expected output value at the current clock cycle. The method also includes: performing backtracing on the sub-cones according to the assertion failure, the machine learning models of the sub-cones, and dynamic backtracing sensitivities corresponding to the sub-cones, to obtain a backtracing result; and outputting one or more target sub-cones as candidate root causes of the assertion failure according to the backtracing result.
    Type: Grant
    Filed: December 22, 2021
    Date of Patent: December 12, 2023
    Assignee: XEPIC CORPORATION LIMITED
    Inventor: Yang-Trung Lin
  • Patent number: 11836037
    Abstract: Some embodiments of the current disclosure disclose methods and systems for analyzing root causes of an incident disrupting information technology services such as cloud services. In some embodiments, a set of problem review board (PRB) documents including information about said incidents may be parsed using a natural language processing (NLP) neural model to extract structured PRB data from the unstructured investigative information contained in the PRB documents. The structured PRB data may include symptoms of the incident, root causes of the incident, resolutions of the incidents, etc., and a causal knowledge graph causally relating the symptoms, root causes, resolutions of the incidents may be generated.
    Type: Grant
    Filed: September 16, 2021
    Date of Patent: December 5, 2023
    Assignee: salesforce.com, inc.
    Inventors: Amrita Saha, Chu Hong Hoi