Flooding Topology Minimum Degree Algorithm
draft-ietf-lsr-flooding-topo-min-degree-00
Network Working Group H. Chen
Internet-Draft Futurewei
Intended status: Standards Track M. Toy
Expires: December 8, 2020 Verizon
Y. Yang
IBM
A. Wang
China Telecom
X. Liu
Volta Networks
Y. Fan
Casa Systems
L. Liu
Fujitsu
June 6, 2020
Flooding Topology Minimum Degree Algorithm
draft-ietf-lsr-flooding-topo-min-degree-00
Abstract
This document proposes an algorithm for a node to compute a flooding
topology, which is a subgraph of the complete topology per underline
physical network. When every node in an area automatically
calculates a flooding topology by using a same algorithm and floods
the link states using the flooding topology, the amount of flooding
traffic in the network is greatly reduced. This would reduce
convergence time with a more stable and optimized routing
environment.
Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119].
Status of This Memo
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3
3. Flooding Topology . . . . . . . . . . . . . . . . . . . . . . 3
3.1. Flooding Topology Construction . . . . . . . . . . . . . 4
4. Algorithms to Compute Flooding Topology . . . . . . . . . . . 4
4.1. Algorithm with Considering Degree . . . . . . . . . . . . 5
4.2. Algorithm with Considering Others . . . . . . . . . . . . 6
5. Security Considerations . . . . . . . . . . . . . . . . . . . 6
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
7. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 7
8. References . . . . . . . . . . . . . . . . . . . . . . . . . 7
8.1. Normative References . . . . . . . . . . . . . . . . . . 7
8.2. Informative References . . . . . . . . . . . . . . . . . 7
Appendix A. FT Computation Details through Example . . . . . . . 7
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 11
1. Introduction
For some networks such as dense Data Center (DC) networks, the
existing Link State (LS) flooding mechanism is not efficient and may
have some issues. The extra LS flooding consumes network bandwidth.
Processing the extra LS flooding, including receiving, buffering and
decoding the extra LSs, wastes memory space and processor time. This
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