Patents by Inventor Sudhish Iyer

Sudhish Iyer 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: 11498006
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Grant
    Filed: July 7, 2021
    Date of Patent: November 15, 2022
    Assignee: Zynga Inc.
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Xuyang (Amy) Tan, Ameya Vilankar, Gaurav Narang
  • Publication number: 20210331074
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Application
    Filed: July 7, 2021
    Publication date: October 28, 2021
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Xuyang (Amy) Tan, Ameya Vilankar, Gaurav Narang
  • Patent number: 11088925
    Abstract: Multitier, multitenant architecture of pods comprise multiple stacks with different metrics and workload compositions that constantly change over time. A computer system may identify an overall pod time-to-live (TTL) based on the changing metrics and workloads. The TTL may be a forecasted time that pod remediation is needed to avoid negative impact on pod performance and customer experience. Additionally, the computer system may identify the appropriate remediation(s) for each pod. The computer system may compare and prioritize remediations across a collection of pods with different configurations and workload characteristics based on the TTLs. Other embodiments may be described and/or claimed.
    Type: Grant
    Filed: January 22, 2018
    Date of Patent: August 10, 2021
    Assignee: SALESFORCE.COM, INC.
    Inventors: Ana Bertran, Carl Morgenstern, Daisuke Kawamoto, Nicholas Roan, Steve Bobrowski, Sudhish Iyer, Chin Lee, Kunal Vashi, Zahid Rahman
  • Patent number: 11083969
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Grant
    Filed: January 14, 2020
    Date of Patent: August 10, 2021
    Assignee: Zynga Inc.
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Xuyang (Amy) Tan, Ameya Vilankar, Gaurav Narang
  • Patent number: 11055162
    Abstract: Among other things, embodiments of the present disclosure relate to detecting performance degradation in database systems. For example, some embodiments of the present disclosure help to identify events associated with anomalous database system parameter states and assess the severity of such anomalous events. Other embodiments may be described and/or claimed.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: July 6, 2021
    Assignee: SALESFORCE.COM, INC.
    Inventors: Dmitry Volkov, Daisuke Kawamoto, Ana Bertran, Lauren Valdivia, Sudhish Iyer, Xiaohong Huang
  • Publication number: 20200222811
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Application
    Filed: January 14, 2020
    Publication date: July 16, 2020
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Xuyang Tan, Ameya Vilankar, Gaurav Narang
  • Publication number: 20200133760
    Abstract: Among other things, embodiments of the present disclosure relate to detecting performance degradation in database systems. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Applicant: salesforce.com, inc.
    Inventors: Dmitry VOLKOV, Daisuke Kawamoto, Ana Bertran, Lauren Valdivia, Sudhish Iyer, Xiaohong HUANG
  • Patent number: 10561944
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Grant
    Filed: September 9, 2015
    Date of Patent: February 18, 2020
    Assignee: Zynga Inc.
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Xuyang Tan, Ameya Vilankar, Gaurav Narang
  • Publication number: 20190173765
    Abstract: Multitier, multitenant architecture of pods comprise multiple stacks with different metrics and workload compositions that constantly change over time. A computer system may identify an overall pod time-to-live (TTL) based on the changing metrics and workloads. The TTL may be a forecasted time that pod remediation is needed to avoid negative impact on pod performance and customer experience. Additionally, the computer system may identify the appropriate remediation(s) for each pod. The computer system may compare and prioritize remediations across a collection of pods with different configurations and workload characteristics based on the TTLs. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: January 22, 2018
    Publication date: June 6, 2019
    Applicant: salesforce.com, inc.
    Inventors: Ana BERTRAN, Carl MORGENSTERN, Daisuke KAWAMOTO, Nicholas ROAN, Steve BOBROWSKI, Sudhish IYER, Chin LEE, Kunal VASHI, Zahid RAHMAN
  • Publication number: 20160067611
    Abstract: A system, a non-transitory machine-readable storage medium storing instructions, and a computer-implemented method to adjust twitch response and collision determination to a player's skill level is provided. Gameplay information of a computer-implemented game is accessed. The gameplay information including input information indicating one or more attributes of gameplay input provided by the player. A gameplay skill level of the player of the player is estimated based on the one or more gameplay input attributes. Based on the estimated gameplay skill level of the player, respective values of one or more gameplay parameters that determine on-screen behavior of virtual in-game objects are modified, thereby a gameplay difficulty level is modified.
    Type: Application
    Filed: September 9, 2015
    Publication date: March 10, 2016
    Inventors: John Carlton Ware, Christopher Vance Haire, John vanSuchtelen, Michael Waite, Alexandros Ntoulas, Jeffrey Zakrzewski, Oliver Attila Tabay, Yuko Yamazaki, Paul Yih Yarng Chong, Sudhish Iyer, Amy Tan, Ameya Vilankar, Gaurav Narang