公开(公告)号：US11522834B2

公开(公告)日：2022-12-06

申请号：US16883652

申请日：2020-05-26

Applicant: Juniper Networks, Inc.

Inventor： Antony Ruban Alexis ,  Sai Prashanth Ramanathan ,  Ramasubramaniam Ganesan

IPC: H04L9/40 ,  G06F9/455 ,  H04L41/0823 ,  H04L41/08 ,  H04L41/0895

Abstract: A device may receive an input associated with deploying a virtual firewall on a computing device. The device may determine a first set of characteristics associated with the virtual firewall and a second set of characteristics associated with a hypervisor associated with the computing device. The device may automatically tune the virtual firewall based on the first set of characteristics and the second set of characteristics. The device may deploy the virtual firewall after tuning the virtual firewall.

公开(公告)号：US11212229B2

公开(公告)日：2021-12-28

申请号：US16600112

申请日：2019-10-11

Applicant: Juniper Networks, Inc.

Inventor： Nithyananda Vishnu K S ,  Sasikumar Sekar ,  Jeevan Madhu Chakravarthy Dandangi ,  Ramasubramaniam Ganesan

IPC: H04L12/853 ,  G06N20/00 ,  H04L12/24 ,  H04L29/12

Abstract: A system and method for dynamically altering static parameters on a live network device is disclosed. The system includes a live network device having a plurality of parameters configured thereon that control the application of services to subscriber packet flows and a machine learning device operable to monitor the subscriber packet flows and apply a machine learned model to identify patterns in the monitored subscriber pack flows. The machine learning device is further operable to dynamically alter at least one of the plurality of parameters on the network device based upon the patterns in the monitored subscriber packet flows.

公开(公告)号：US12218910B2

公开(公告)日：2025-02-04

申请号：US18464470

申请日：2023-09-11

Applicant: Juniper Networks, Inc.

Inventor： Antony Ruban Alexis ,  Sai Prashanth Ramanathan ,  Ramasubramaniam Ganesan

IPC: H04L9/40 ,  G06F9/455 ,  H04L41/08 ,  H04L41/0823 ,  H04L41/0895

Abstract: A device may receive an input associated with deploying a virtual firewall on a computing device. The device may determine a first set of characteristics associated with the virtual firewall and a second set of characteristics associated with a hypervisor associated with the computing device. The device may automatically tune the virtual firewall based on the first set of characteristics and the second set of characteristics. The device may deploy the virtual firewall after tuning the virtual firewall.

公开(公告)号：US11863524B2

公开(公告)日：2024-01-02

申请号：US18046232

申请日：2022-10-13

Applicant: Juniper Networks, Inc.

Inventor： Antony Ruban Alexis ,  Sai Prashanth Ramanathan ,  Ramasubramaniam Ganesan

IPC: H04L9/40 ,  G06F9/455 ,  H04L41/0823 ,  H04L41/08 ,  H04L41/0895

CPC classification number: H04L63/0218 ,  G06F9/45558 ,  H04L41/0823 ,  H04L41/0886 ,  H04L41/0895 ,  G06F2009/4557 ,  G06F2009/45587 ,  G06F2009/45595

Abstract: A device may receive an input associated with deploying a virtual firewall on a computing device. The device may determine a first set of characteristics associated with the virtual firewall and a second set of characteristics associated with a hypervisor associated with the computing device. The device may automatically tune the virtual firewall based on the first set of characteristics and the second set of characteristics. The device may deploy the virtual firewall after tuning the virtual firewall.

公开(公告)号：US20210112011A1

公开(公告)日：2021-04-15

申请号：US16600112

申请日：2019-10-11

Applicant: Juniper Networks, Inc.

Inventor： Nithyananda Vishnu K S ,  Sasikumar Sekar ,  Jeevan Madhu Chakravarthy Dandangi ,  Ramasubramaniam Ganesan

IPC: H04L12/853 ,  G06N20/00 ,  H04L12/24 ,  H04L29/12

Abstract: A system and method for dynamically altering static parameters on a live network device is disclosed. The system includes a live network device having a plurality of parameters configured thereon that control the application of services to subscriber packet flows and a machine learning device operable to monitor the subscriber packet flows and apply a machine learned model to identify patterns in the monitored subscriber pack flows. The machine learning device is further operable to dynamically alter at least one of the plurality of parameters on the network device based upon the patterns in the monitored subscriber packet flows.