Invention Application
- Patent Title: HIERARCHICAL ECMP CONTROL PLANE FOR DENSE TOPOLOGIES
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Application No.: US17160102Application Date: 2021-01-27
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Publication No.: US20220239588A1Publication Date: 2022-07-28
- Inventor: Neeraj Malhotra , Satya Ranjan Mohanty , Dongling Duan , Nitin Kumar , Narasimha Prasad Salagame Nagaraj
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: H04L12/707
- 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.
Public/Granted literature
- US11431619B2 Hierarchical ECMP control plane for dense topologies Public/Granted day:2022-08-30
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