Patents by Inventor Simon Tse

Simon Tse 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: 10819597
    Abstract: A system for network device measurements may use a white box to perform measurements that may help determine the likelihood of network anomalies, such as microbursts.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: October 27, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Steven A. Monetti, Tzuu-Yi Wang, Richard Koch, Tuan Duong, Yaron Koral, Kenneth Duell, Kathleen Meier-Hellstern, Simon Tse
  • Publication number: 20200328976
    Abstract: Systems, methods, and apparatuses provide a scalable framework for analyzing queuing and transient congestion in network switches. The system reports which flows contributed to the queue buildup and enables direct per-packet action in the data plane to prevent transient congestion. The system may be configured to analyze queuing in legacy network switches.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Applicants: AT&T Intellectual Property I, L.P., The Trustees Of Princeton University
    Inventors: Yaron Koral, Simon Tse, Steven A. Monetti, Tzuu-Yi Wang, Jennifer Rexford, Xiaoqi Chen, Shir Landau Feibish
  • Publication number: 20200328956
    Abstract: Methods, systems, and computer-readable media for measuring packet delays are provided. An input port of a network device is tapped to duplicate an input packet stream having a first packet. An output port of the network device is tapped to duplicate an output packet stream including the first packet. The duplicated input packet stream and the duplicated output packet stream is transmitted to a programmable device. The first packet in the first input packet stream is matched to the first packet in the first output packet stream. An arrival time and a departure time for the first packet is measured. The difference between the departure time of the first packet and the arrival time of the first packet is determined and the value is reported to an external collector.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Applicants: AT&T Intellectual Property I, L.P, The Trustees Of Princeton Univerty
    Inventors: Yaron Koral, Tuan Duong, Steven A. Monetti, Tzuu-Yi Wang, Simon Tse, Shir Landau Feibish, Jennifer Rexford, Xiaoqi Chen
  • 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
  • Publication number: 20200313788
    Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
    Type: Application
    Filed: June 15, 2020
    Publication date: October 1, 2020
    Inventors: Martin Birk, David Frederick Lynch, Gaurav Thakur, Simon Tse
  • 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: 20200228226
    Abstract: Devices, computer-readable media and methods are disclosed for verifying that an optical transmit/receive device is correctly installed. For example, a processing system including at least one processor may activate a first light source of an optical transmit/receive device of a telecommunication network and detect a receiving of a light from the first light source at a port of an optical add/drop multiplexer of the telecommunication network. The processing system may then verify the optical transmit/receive device and the port of the optical add/drop multiplexer match a network provisioning order, when the receiving of the light from the first light source is detected, and may generate an indication that the optical transmit/receive device is correctly installed, when the optical transmit/receive device and the port of the optical add/drop multiplexer match the network provisioning order.
    Type: Application
    Filed: March 30, 2020
    Publication date: July 16, 2020
    Inventors: Simon Tse, Martin Birk, Shweta Vachhani, Kathleen Tse
  • 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
  • Publication number: 20200195534
    Abstract: A system for network device measurements may use a white box to perform measurements that may help determine the likelihood of network anomalies, such as microbursts.
    Type: Application
    Filed: December 18, 2018
    Publication date: June 18, 2020
    Inventors: Steven A. Monetti, Tzuu-Yi Wang, Richard Koch, Tuan Duong, Yaron Koral, Kenneth Duell, Kathleen Meier-Hellstern, Simon Tse
  • Patent number: 10686544
    Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
    Type: Grant
    Filed: September 19, 2018
    Date of Patent: June 16, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Martin Birk, David Frederick Lynch, Gaurav Thakur, Simon Tse
  • 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: 10608774
    Abstract: Devices, computer-readable media and methods are disclosed for verifying that an optical transmit/receive device is correctly installed. For example, a processing system including at least one processor may activate a first light source of an optical transmit/receive device of a telecommunication network and detect a receiving of a light from the first light source at a port of an optical add/drop multiplexer of the telecommunication network. The processing system may then verify the optical transmit/receive device and the port of the optical add/drop multiplexer match a network provisioning order, when the receiving of the light from the first light source is detected, and may generate an indication that the optical transmit/receive device is correctly installed, when the optical transmit/receive device and the port of the optical add/drop multiplexer match the network provisioning order.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: March 31, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Simon Tse, Martin Birk, Shweta Vachhani, Kathleen Tse
  • Publication number: 20200092026
    Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
    Type: Application
    Filed: September 19, 2018
    Publication date: March 19, 2020
    Inventors: Martin Birk, David Frederick Lynch, Gaurav Thakur, Simon Tse
  • 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
  • Publication number: 20200036467
    Abstract: Devices, computer-readable media and methods are disclosed for verifying that an optical transmit/receive device is correctly installed. For example, a processing system including at least one processor may activate a first light source of an optical transmit/receive device of a telecommunication network and detect a receiving of a light from the first light source at a port of an optical add/drop multiplexer of the telecommunication network. The processing system may then verify the optical transmit/receive device and the port of the optical add/drop multiplexer match a network provisioning order, when the receiving of the light from the first light source is detected, and may generate an indication that the optical transmit/receive device is correctly installed, when the optical transmit/receive device and the port of the optical add/drop multiplexer match the network provisioning order.
    Type: Application
    Filed: July 27, 2018
    Publication date: January 30, 2020
    Inventors: Simon Tse, Martin Birk, Shweta Vachhani, Kathleen Tse
  • Patent number: 10547384
    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: June 28, 2018
    Date of Patent: January 28, 2020
    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