公开(公告)号：US11005777B2

公开(公告)日：2021-05-11

申请号：US16031502

申请日：2018-07-10

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Sivaramakrishnan Ramanathan

IPC: H04L12/927 ,  H04L12/26 ,  H04L12/721 ,  H04L12/841 ,  H04L12/911 ,  H04L12/24 ,  H04L12/715 ,  H04L12/707

Abstract: In one embodiment, a method includes determining, by one or more processors, a weight of a link between a first node and a second node of a network, wherein the weight is proportional to a probability value of forwarding a probe packet from the first node to the second node of the network. The method also includes adjusting, by the processors, the weight of the link between the first node and the second node using binary exponential backoff. The method further includes determining, by the processors, to forward the probe packet to the second node of the network based on the adjusted weight of the link and one or more field values of the probe packet.

公开(公告)号：US11669751B2

公开(公告)日：2023-06-06

申请号：US17105971

申请日：2020-11-27

Applicant: AT&T Intellectual Property I, L.P. ,  University of Southern California ,  President and Fellows of Harvard College

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Sivaramakrishnan Ramanathan ,  Minian Yu ,  Jelena Mirkovic

IPC: G06F15/16 ,  G06N5/025 ,  H04L43/0876 ,  H04L43/067 ,  H04L41/16 ,  H04L41/08

CPC classification number: G06N5/025 ,  H04L41/16 ,  H04L43/067 ,  H04L43/0876 ,  H04L41/0876

Abstract: A processing system including at least one processor may obtain a time series of measurement values from a communication network and train a prediction model in accordance with the time series of measurement values to predict future instances of an event of interest, where the time series of measurement values is labeled with one or more indicators of instances of the event of interest. The processing system may then generate a deterministic finite automaton based upon the prediction model, convert the deterministic finite automaton into a rule set, and deploy the rule set to at least one network component of the communication network.

公开(公告)号：US20220172076A1

公开(公告)日：2022-06-02

申请号：US17105971

申请日：2020-11-27

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Sivaramakrishnan Ramanathan ,  Minlan Yu ,  Jelena Mirkovic

IPC: G06N5/02 ,  G06N3/04 ,  H04L12/26

Abstract: A processing system including at least one processor may obtain a time series of measurement values from a communication network and train a prediction model in accordance with the time series of measurement values to predict future instances of an event of interest, where the time series of measurement values is labeled with one or more indicators of instances of the event of interest. The processing system may then generate a deterministic finite automaton based upon the prediction model, convert the deterministic finite automaton into a rule set, and deploy the rule set to at least one network component of the communication network.

公开(公告)号：US20200021536A1

公开(公告)日：2020-01-16

申请号：US16031502

申请日：2018-07-10

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Sivaramakrishnan Ramanathan

IPC: H04L12/927 ,  H04L12/26 ,  H04L12/721 ,  H04L12/24 ,  H04L12/841 ,  H04L12/911

Abstract: In one embodiment, a method includes determining, by one or more processors, a weight of a link between a first node and a second node of a network, wherein the weight is proportional to a probability value of forwarding a probe packet from the first node to the second node of the network. The method also includes adjusting, by the processors, the weight of the link between the first node and the second node using binary exponential backoff. The method further includes determining, by the processors, to forward the probe packet to the second node of the network based on the adjusted weight of the link and one or more field values of the probe packet.