公开(公告)号：US20220417134A1

公开(公告)日：2022-12-29

申请号：US17897890

申请日：2022-08-29

Applicant: Cisco Technology, Inc.

Inventor： Neeraj Malhotra ,  Satya Ranjan Mohanty ,  Dongling Duan ,  Nitin Kumar ,  Narasimha Prasad Salagame Nagaraj

IPC: H04L45/24 ,  H04L47/17 ,  H04L45/74

Abstract: Techniques and mechanisms for a control plane approach for dense topologies that focusses on discovering shared ECMP groups in the control plane independent of per-prefix learning and then learning prefixes via these shared ECMP groups instead of learning prefixes via one next-hop at a time. In dense topologies, this approach helps minimize BGP path scale, corresponding signaling and enables control plane scaling that is an order of magnitude higher than a traditional eBGP control plane. During link and node topology changes, the described control plane approach enables control plane signaling that is prefix independent and an order of magnitude lower. A control plane approach to path-list sharing and prefix independent signaling on link and node topology changes enables prefix independent convergence (PIC) in scenarios that would not be possible otherwise with traditional FIB driven path-list sharing and PIC.

公开(公告)号：US12003409B2

公开(公告)日：2024-06-04

申请号：US17897890

申请日：2022-08-29

Applicant: Cisco Technology, Inc.

Inventor： Neeraj Malhotra ,  Satya Ranjan Mohanty ,  Dongling Duan ,  Nitin Kumar ,  Narasimha Prasad Salagame Nagaraj

IPC: H04L45/24 ,  H04L45/74 ,  H04L47/17

CPC classification number: H04L45/24 ,  H04L45/74 ,  H04L47/17

Abstract: Techniques and mechanisms for a control plane approach for dense topologies that focusses on discovering shared ECMP groups in the control plane independent of per-prefix learning and then learning prefixes via these shared ECMP groups instead of learning prefixes via one next-hop at a time. In dense topologies, this approach helps minimize BGP path scale, corresponding signaling and enables control plane scaling that is an order of magnitude higher than a traditional eBGP control plane. During link and node topology changes, the described control plane approach enables control plane signaling that is prefix independent and an order of magnitude lower. A control plane approach to path-list sharing and prefix independent signaling on link and node topology changes enables prefix independent convergence (PIC) in scenarios that would not be possible otherwise with traditional FIB driven path-list sharing and PIC.

公开(公告)号：US11431619B2

公开(公告)日：2022-08-30

申请号：US17160102

申请日：2021-01-27

Applicant: Cisco Technology, Inc.

Inventor： Neeraj Malhotra ,  Satya Ranjan Mohanty ,  Dongling Duan ,  Nitin Kumar ,  Narasimha Prasad Salagame Nagaraj

IPC: H04L45/24 ,  H04L45/74 ,  H04L47/17

Abstract: Techniques and mechanisms for a control plane approach for dense topologies that focusses on discovering shared ECMP groups in the control plane independent of per-prefix learning and then learning prefixes via these shared ECMP groups instead of learning prefixes via one next-hop at a time. In dense topologies, this approach helps minimize BGP path scale, corresponding signaling and enables control plane scaling that is an order of magnitude higher than a traditional eBGP control plane. During link and node topology changes, the described control plane approach enables control plane signaling that is prefix independent and an order of magnitude lower. A control plane approach to path-list sharing and prefix independent signaling on link and node topology changes enables prefix independent convergence (PIC) in scenarios that would not be possible otherwise with traditional FIB driven path-list sharing and PIC.

公开(公告)号：US20220239588A1

公开(公告)日：2022-07-28

申请号：US17160102

申请日：2021-01-27

Applicant: Cisco Technology, Inc.

Inventor： Neeraj Malhotra ,  Satya Ranjan Mohanty ,  Dongling Duan ,  Nitin Kumar ,  Narasimha Prasad Salagame Nagaraj

IPC: H04L12/707 ,  H04L12/741 ,  H04L12/801

Abstract: Techniques and mechanisms for a control plane approach for dense topologies that focusses on discovering shared ECMP groups in the control plane independent of per-prefix learning and then learning prefixes via these shared ECMP groups instead of learning prefixes via one next-hop at a time. In dense topologies, this approach helps minimize BGP path scale, corresponding signaling and enables control plane scaling that is an order of magnitude higher than a traditional eBGP control plane. During link and node topology changes, the described control plane approach enables control plane signaling that is prefix independent and an order of magnitude lower. A control plane approach to path-list sharing and prefix independent signaling on link and node topology changes enables prefix independent convergence (PIC) in scenarios that would not be possible otherwise with traditional FIB driven path-list sharing and PIC.