Patents by Inventor Gagan Choudhury

Gagan Choudhury 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: 20240098017
    Abstract: Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.
    Type: Application
    Filed: November 16, 2023
    Publication date: March 21, 2024
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Gagan Choudhury, Kenichi Futamura, Shweta Vachhani, Alvin C. Goddard, Timothy E. Gallivan, Harpreet Ahluwalia
  • Patent number: 11863430
    Abstract: Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.
    Type: Grant
    Filed: February 18, 2022
    Date of Patent: January 2, 2024
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Gagan Choudhury, Kenichi Futamura, Shweta Vachhani, Alvin C. Goddard, Timothy E. Gallivan, Harpreet Ahluwalia
  • Publication number: 20230370363
    Abstract: Aspects of the subject disclosure may include, for example, obtaining node data identifying for a network a source node, a destination node and a plurality of other nodes; obtaining reference path data identifying a reference path from the source node to the destination node; obtaining alternate path data identifying a plurality of alternate paths from the source node to the destination node, setting for the reference path a possible split threshold identifying a traffic bandwidth which can trigger a re-direction of traffic from the reference path; determining whether a current traffic flow on the reference path meets the possible split threshold, resulting in a first determination; responsive to the first determination, obtaining, subsequent to the setting for the reference path of the possible split threshold, current alternate path data for each of the plurality of alternate paths, wherein the current alternate path data comprises for each of the alternate paths a respective current alternate path bandwidt
    Type: Application
    Filed: May 13, 2022
    Publication date: November 16, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Gagan Choudhury, Alvin C. Goddard, Harpreet Ahluwalia, Aswatnarayan Raghuram
  • Publication number: 20230269176
    Abstract: Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.
    Type: Application
    Filed: February 18, 2022
    Publication date: August 24, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Gagan Choudhury, Kenichi Futamura, Shweta Vachhani, Alvin C. Goddard, Timothy E. Gallivan, Harpreet Ahluwalia
  • Publication number: 20230261967
    Abstract: Aspects of the subject disclosure may include, for example, detecting whether a bandwidth capacity loss occurs on a first link bundle connecting one or more first core routers of a core Interior Gateway Protocol (IGP) network with one or more first provider routers, resulting in a detected capacity loss, wherein communication between the one or more first core routers of the core IGP network and the one or more first provider routers utilizes a Border Gateway Protocol (BGP), wherein a second link bundle connects one or more second core routers of the core IGP network with one or more second provider routers, and wherein communication between the one or more second core routers of the core IGP network and one or more second provider routers utilizes the BGP; responsive to the detected capacity loss, automatically increasing a cost associated with selected network traffic that was to be carried between the one or more first provider routers and the one or more first core routers of the core IGP network and that
    Type: Application
    Filed: February 15, 2022
    Publication date: August 17, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Tzuu-Yi Wang, Harpreet Ahluwalia, Gagan Choudhury, Aswatnarayan Raghuram, Alvin C. Goddard, Manu Thannickal, Lynn Rivera, SHESHASHAILAVAS CHINTHAKAYALA
  • Publication number: 20230261980
    Abstract: Aspects of the subject disclosure may include, for example, obtaining for a first path carrying first network traffic a corresponding first alternate path; obtaining for a second path carrying second network traffic a corresponding second alternate path, at least a first portion of the first alternate path being the same as at least a second portion of the second alternate path; responsive to a first detected failure on the first path, causing communication of first re-directed network traffic via the first alternate path instead of via the first path; responsive to a second detected failure on the second path, detecting whether total traffic, including the first re-directed network traffic, on the first portion of the first alternate path meets a threshold; responsive to the detected meeting of the threshold, obtaining for the second path a corresponding back-up alternate path; and causing communication of second re-directed network traffic via the back-up alternative path instead of via the second path.
    Type: Application
    Filed: February 15, 2022
    Publication date: August 17, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Narayan Padi, Shweta Vachhani, Aswatnarayan Raghuram, Juby J. Chacko, Harpreet Ahluwalia, Kenichi Futamura, Gagan Choudhury, Alvin C. Goddard
  • Patent number: 11563640
    Abstract: A parser model may be used with software-defined applications or controllers. A network topology may be detected and based on the change in the network topology, a network device may filter certain network data traffic for processing by a software-defined network controller.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: January 24, 2023
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Simon Tse, Narayan Padi, Alvin Goddard, Lynn Rivera
  • Patent number: 11303565
    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: April 12, 2022
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Gaurav Thakur, Simon Tse, Kathleen Meier-Hellstern
  • Publication number: 20210029030
    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
    Type: Application
    Filed: October 12, 2020
    Publication date: January 28, 2021
    Inventors: Gagan Choudhury, Gaurav Thakur, Simon Tse, Kathleen Meier-Hellstern
  • Patent number: 10887019
    Abstract: A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps manage, in near real-time, the multiple layers of the telecommunication network.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: January 5, 2021
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Kathleen Meier-Hellstern, Alvin Goddard, Narayan Padi, Simon Tse, Tzuu-Yi Wang, Kathleen Tse, Martin Birk
  • Publication number: 20200358697
    Abstract: Concepts and technologies disclosed herein are directed to deadlock-free traffic rerouting in software-defined networking (“SDN”) networks. According to one aspect of the concepts and technologies disclosed herein, a centralized SDN controller can determine that a packet flow along a path within at least a portion of a network is to be rerouted from the path to a new path. The centralized SDN controller can initiate a reroute of the packet flow to the new path. The centralized SDN controller can request a bandwidth for the new path. The bandwidth can be determined such that bandwidth oversubscription on the new path is avoided. In response to the packet flow settling on the new path, the centralized SDN controller can adjust a requested bandwidth of the packet flow to a desired value to complete the reroute of the packet flow from the path to the new path.
    Type: Application
    Filed: July 27, 2020
    Publication date: November 12, 2020
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Kang Xi, Simon Tse, Narayan Padi, Alvin Goddard, Aswatnarayan Raghuram
  • Patent number: 10805214
    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: October 13, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Gaurav Thakur, Simon Tse, Kathleen Meier-Hellstern
  • Patent number: 10784963
    Abstract: A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps in capacity planning of the telecommunications based on the management of multiple layers of the telecommunication network.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: September 22, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Simon Tse, Kathleen Meier-Hellstern, Narayan Padi, Richard Koch
  • Patent number: 10728140
    Abstract: Concepts and technologies disclosed herein are directed to deadlock-free traffic rerouting in software-defined networking (“SDN”) networks. According to one aspect of the concepts and technologies disclosed herein, a centralized SDN controller can determine that a packet flow along a path within at least a portion of a network is to be rerouted from the path to a new path. The centralized SDN controller can initiate a reroute of the packet flow to the new path. The centralized SDN controller can request a bandwidth for the new path. The bandwidth can be determined such that bandwidth oversubscription on the new path is avoided. In response to the packet flow settling on the new path, the centralized SDN controller can adjust a requested bandwidth of the packet flow to a desired value to complete the reroute of the packet flow from the path to the new path.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: July 28, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Kang Xi, Simon Tse, Narayan Padi, Alvin Goddard, Aswatnarayan Raghuram
  • Publication number: 20200204490
    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
    Type: Application
    Filed: March 2, 2020
    Publication date: June 25, 2020
    Inventors: Gagan Choudhury, Gaurav Thakur, Simon Tse, Kathleen Meier-Hellstern
  • Publication number: 20200195512
    Abstract: A parser model may be used with software-defined applications or controllers. A network topology may be detected and based on the change in the network topology, a network device may filter certain network data traffic for processing by a software-defined network controller.
    Type: Application
    Filed: December 13, 2018
    Publication date: June 18, 2020
    Inventors: Gagan Choudhury, Simon Tse, Narayan Padi, Alvin Goddard, Lynn Rivera
  • Patent number: 10673957
    Abstract: In one example, a method for monitoring the state and health of a centralized software defined networking controller includes detecting, by a standby software defined networking controller, when a number of path computation client sessions reported by an active software defined networking controller fails to match an expected number; verifying, by the standby software defined networking controller after expiration of a predefined delay implemented after the detecting, that the number of path computation client sessions reported by the active software defined networking controller still fails to match the expected number; and assuming, by the standby software defined networking controller after the verifying, a role of the active software defined networking controller.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: June 2, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Simon Tse, Alvin Goddard, Catherine Ferraro, Gagan Choudhury, Narayan Padi, Lynn Rivera
  • Patent number: 10666359
    Abstract: A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps manage, in near real-time, the multiple layers of the telecommunication network.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: May 26, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Kathleen Meier-Hellstern, Alvin Goddard, Narayan Padi, Simon Tse
  • Publication number: 20200145104
    Abstract: A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps manage, in near real-time, the multiple layers of the telecommunication network.
    Type: Application
    Filed: January 3, 2020
    Publication date: May 7, 2020
    Inventors: Gagan Choudhury, Kathleen Meier-Hellstern, Alvin Goddard, Narayan Padi, Simon Tse, Tzuu-Yi Wang, Kathleen Tse, Martin Birk
  • Patent number: 10581736
    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: March 3, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Gagan Choudhury, Gaurav Thakur, Simon Tse, Kathleen Meier-Hellstern