Generic Fault-avoidance Routing Protocol for Data Center Networks
draft-sl-rtgwg-far-dcn-11

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Routing Area Working Group                                       Bin Liu
Internet-Draft                                       ZTE Inc., ZTE Plaza
Intended status: Informational                                Yantao Sun
Expires: May 23, 2019                                         Jing Cheng
                                                            Yichen Zhang
                                             Beijing Jiaotong University
                                                       Bhumip Khasnabish
                                                             ZTE TX Inc.
                                                            Nov 19, 2018

   Generic Fault-avoidance Routing Protocol for Data Center Networks
                       draft-sl-rtgwg-far-dcn-11

Abstract

   This draft proposes a generic routing method and protocol for a
   regular data center network, named as fault-avoidance routing (FAR)
   protocol.  FAR protocol provides a generic routing method for all
   types of network architectures that are proposed for large-scale
   cloud-based data centers over the past few years.  FAR protocol is
   well designed to fully leverage the regularity in the topology and
   compute its routing table in a simplistic manner.  Fat-tree is taken
   as an example architecture to illustrate how FAR protocol can be
   applied in real operational scenarios.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
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   time.  It is inappropriate to use Internet-Drafts as reference
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   This Internet-Draft will expire on May 23, 2019.

Copyright Notice

   Copyright (c) 2018 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

Bin Liu, et al.           Expires May 23, 2019                  [Page 1]
Internet-Draft                 FAR for DCN                      Nov 2018

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
     1.1.  Acronyms & Definitions  . . . . . . . . . . . . . . . . .   4
   2.  Conventions used in this document . . . . . . . . . . . . . .   5
   3.  Problem Statement . . . . . . . . . . . . . . . . . . . . . .   5
     3.1.  The Impact of Large-scale Networks on Route Calculation .   5
     3.2.  Dilemma of conventional routing methods in a large-scale
           network with giant number nodes of routers  . . . . . . .   6
     3.3.  Network Addressing Issues . . . . . . . . . . . . . . . .   8
     3.4.  Big Routing Table Issues  . . . . . . . . . . . . . . . .   8
     3.5.  Adaptivity Issues for Routing Algorithms  . . . . . . . .   8
     3.6.  Virtual Machine Migration Issues  . . . . . . . . . . . .   9
   4.  The FAR Framework . . . . . . . . . . . . . . . . . . . . . .   9
   5.  Data Format . . . . . . . . . . . . . . . . . . . . . . . . .  10
     5.1.  Data Tables . . . . . . . . . . . . . . . . . . . . . . .  10
     5.2.  Messages  . . . . . . . . . . . . . . . . . . . . . . . .  13
   6.  FAR Modules . . . . . . . . . . . . . . . . . . . . . . . . .  17
     6.1.  Neighbor and Link Detection Module(M1)  . . . . . . . . .  17
     6.2.  Device Learning Module(M2)  . . . . . . . . . . . . . . .  17
     6.3.  Invisible Neighbor and Link Failure Inferring Module(M3)   18
     6.4.  Link Failure Learning Module(M4)  . . . . . . . . . . . .  18
     6.5.  BRT Building Module(M5) . . . . . . . . . . . . . . . . .  18
     6.6.  NRT Building Module(M6) . . . . . . . . . . . . . . . . .  19
     6.7.  Routing Table Lookup(M7)  . . . . . . . . . . . . . . . .  19
   7.  How a FAR Router Works  . . . . . . . . . . . . . . . . . . .  19
   8.  Compatible Architecture . . . . . . . . . . . . . . . . . . .  22
   9.  Application Example . . . . . . . . . . . . . . . . . . . . .  22
     9.1.  BRT Building Procedure  . . . . . . . . . . . . . . . . .  24
     9.2.  NRT Building Procedure  . . . . . . . . . . . . . . . . .  25