ONOS-based VTN

implementation

XiongYan Tang China Unicom

Patrick Liu Huawei Technologies Inc

Brian O’Connor ON.LAB

2

Agenda

Requirements (XiongYan Tang)

Architecture OverviewONOS (Brian O’Connor)

VTN (Patrick Liu)

Demo (Patrick Liu)

Scalability

HA

VM Migration

3

China Unicom New Generation Network

Architecture: CUBE-Net 2.0Application

ComponentApplication layer

API

Data-oriented Network (DoN)

Cloud Interconnection

Customer-oriented Network (CoN)

NaaS

……

NaaSAPI

Service Collaboration and Orchestration

Application

Component

Application

Component

Basic

NE

Southbound Control

East-West Integration

Northbound Openness

East-West Integration

Internet-oriented

Network (IoN)

IP + Optical network

bearing plane

① Cloud Service Access① Ubiquitous-Broadband Access ③ Ultra-Broadband Elastic Pipe

Base DC Base DC

Base DC Base DC

Regional DC

Regional DC

MAN aggregation

Mobile backhaul

Edge DC

Fixed

broadband

Ub

iqu

ito

us

Acce

ss

Wireless

broadband

Mobile

broadband

④ Cloud-enabled Network

Service Platform

Virtual

Network

Resource

Management

Network

Control

Cloud

Service

4

CUBE-Net: Cloud and Network Collaboration

E2E Network and Cloud Orchestration (ICT Orchestration)

SDNOrchestrator

NFVOrchestrator

Cloud/DC Orchestrator

Legacy network

Orchestrator

SDN Controller VNFM VIM（NFV&DC） EMSCloud

VM

Switch/vSwitch

Router/vRouter

Service route

Access(SDN)

Service route

WAN(SDN)

IP Core(SDN)

VM

API API

Application

ComponentApplication layerApplication

Component

Application

Component

Northbound interface for capability opening

De

plo

ym

en

t

co

lla

bo

rati

on

Ma

na

gem

en

t

co

lla

bo

rati

on

Se

rvic

e

co

llab

ora

tio

n

Service chain Service chain

Edge Cloud (NFV) Regional Cloud (NFV & Cloud) Base Cloud + Third-party Cloud

5

CUBE-Net: On-demand NFV Services based on

Cloud

vCPE, vBNG, vEPC, vCDN

vIMS, Video, vVAS, APP

vBBU, vOLT

VNFM, VIM, EMS

IP

device

Backbone

IP

deviceIP

device

Base DC

Optical

transmissionMetro

Regional DC

Compute Network Storage

CPE

MxU

ONT

RRU

OLT

User-oriented VNF

Control-oriented VNF Application-oriented

VNF

Edge DC

Management cloud

Function cloud

Service cloud

Control cloud

vSwitch, vRouter

ICT Service Orchestrator OSS, BSS, Big Data

CPE, IPRAN/ME, TSDN controller

IP + Optical, DCI, DC controller

1. Flattened: ultra-broadband access, one-hop reach 3. Intensive: service provisioning and orchestration2. Decoupling: control and management

Optical

transmissionOptical

transmission

Optical

transmission

IP

device

Compute Network StorageCompute Network Storage

6

Our view on NFV VIM

NFV

VIM

Scalability Open

Availability Automatic

7

ONOS Distributed Architecture

NB Core API

Distributed Core(state management, notifications, high-availability & scale-out)

SB Core API

Protocols

Providers

Protocols

Providers

Protocols

Providers

Protocols

Providers

AppsApps

8

ONOS Distributed Architecture

NB Core API

Distributed Core(state management, notifications, high-availability & scale-out)

SB Core API

Protocols

Providers

Protocols

Providers

Protocols

Providers

Protocols

Providers

AppsApps

Distributed Core(state management, notifications, high-availability & scale-out)

SB Core API

NB Core API

Providers Providers Providers Providers

Protocols Protocols Protocols Protocols

9

Architectural Tenets

• High-availability, scalability and performance

• required to sustain demands of service provider & enterprise networks

• Strong abstractions and simplicity

• required for development of apps and solutions

• Protocol and device behavior independence

• avoid contouring and deformation due to protocol specifics

• Separation of concerns and modularity

• allow tailoring and customization without speciating the code-base

10

ONOS Flow and Intent Throughput

Linear Scale out

Characteristics i

Linear Scale out

Characteristics in

North bound

Source: ONOS white paper on performance

High performance

As demands on the SDN control plane grow, either due to an increase in the size of the network or due

to an increase in the number of network control applications, ONOS can scale by adding additional

instances to the cluster. (linear scale-out characteristics in both the southbound and northbound)

11

ONOS Topology (Switch, Port) Event Latency

50 and 60 ms1 and 3 ms

5 and 7 ms3 and 4 ms

12

ONOS based VTN Architecture

OVS

Service VM

(FW)VM

Compute Node

OVS

VMVM

Compute Node

OVS

VMVM

Compute Node

Neutron

ML2 Plugin L3 Plugin

Nova

OVSDB OF1.3

SFC Manager

Neutron API

SFC Plugin

VTN Manager

Distributed

VTN store

VTN

Overlay Net

Topology

Device

(OVS) Host (VM)

Link

(VxLAN)Flow Rule

Tunnel Packet Stats Master

OVS

DHCP

Network Node

DHCP

VxLAN VxLAN

Tunnel

Port

Ingress

SF Port

CORE

Provider

Egress

SF Port

Single Bridge br-int in Network and

Compute node

OF based L3 Forwarding (No DVR)

Ex Traffic is forwarded and received

directly by compute node.

ARP proxy on each compute node

Physical and Overlay Network

Flow Rule management

Full Mesh Overlay network with two

variations:

1. create two tunnel-ports per

VxLAN;

2. Create only one tunnel-ports per

OVS, which shared by all of the

VxLANs

VTN is an Application

Distributed VTN Stores

Multiple bundles

Mastership

Port

External

Port

1

2

Classifier ARP DNAT L3 FWD SNAT L2 FWD

Data path pipeline3

13

Demo 1: VTN Management and Scalability

Swift NeutronPlugins

Nova

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

OVS

Server Server Server

Full Mesh

Container

OVS

VTN Tunnel FlowR

OVSDB OF1.3

Topo

14

Demo 2: High Availability

Swift NeutronPlugins

Nova

OVS 1

VMVM

OVS 2

VMVM

OVS 3

VMVM

Node 1 Node 2 Node 3

Master

Standby

15

Demo 3: Host Live Migration

OVSOVS

VM2VM3 VM4VM1

Neutron Plugins Nova

VM1

Topology

Host 1

Host 1

Copyright©2015 Huawei Technologies Co., Ltd. All Rights Reserved.

The information in this document may contain predictive statements including, without limitation,

statements regarding the future financial and operating results, future product portfolio, new technology,

etc. There are a number of factors that could cause actual results and developments to differ materially

from those expressed or implied in the predictive statements. Therefore, such information is provided

for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the

information at any time without notice.