dragonflow austin summit talk

Eran Gampel, HuaweiLi Ma, AWCloudGal Sagie, Huawei

Highlights • Integral “Big Tent” project in OpenStack• Designed for High Scale, Performance and Low Latency• Lightweight and Simple• Easily Extendable• Distributed SDN Control Plane• Focus on advanced networking services• Distributes Policy Level Abstraction to the Compute Nodes

Neutron-Server

Dragonflow Plugin

DBOVSDragonflow

DBDriver

Compute Node

OVSDragonflow

DBDriver

Compute Node

OVSDragonflowDB

Driver

Compute Node

OVSDragonflowDB

Driver

Compute Node

DB

VM VM..VM VM..

VM VM.. VM VM..

Distributed SDN

“Under The Hood”

Compute Node Compute Node Compute Node Dragonflow

Network DB

OVS

NeutronServer

Redis

OVSDB-Server

ETCD RethinkDBRAMCloud

Kernel Datapath Module

NIC

User Space

Kernel Space

DB DriversRedis ETCD RethinkDBRMC

Future

Dragonflow PluginRoute Core

API SG

vswitchd

Container

VM Dragonflow ControllerAbstraction Layer

L2 App L3 AppDHCP App

FWaaS LBaaS …FIP/DNAT

Pluggable DB Layer

NB D

B Dr

iver

s

SB DB Drivers

SmartNIC OVSDB

ZooKeeper

ETCD

RMC

Redis

OpenFlow

SG App

ZooKeeper

Zookeeper

Pub/Sub DriversRedis ØMQ

Current Release Features (Mitaka)L2 core API, IPv4, IPv6

GRE/VxLAN/STT/Geneve tunneling protocols Distributed L3 Virtual RouterDistributed DHCP Pluggable Distributed Database

ETCD, RethinkDB, RAMCloud, Redis, ZooKeeperPluggable Publish-Subscribe

ØMQ, RedisSecurity Groups

OVS Flows leveraging connection tracking integrationDistributed DNATSelective Proactive Distribution

Tenant Based

Pluggable Database FrameworkRequirements

HA + ScalabilityDifferent Environments have different requirements

Performance, Latency, Scalability, etc.

Why Pluggable?Long time to productizeMature Open Source alternativesAllow us to focus on the networking services only

Distributed DB

DB Data 3DB Data 2DB Data 1

Full Distribution

Compute Node 1

DragonflowLocal Cache

OVS

Compute Node NDragonflow

OVS

Local Cache

Dragonflow DB DriversRedis ETCD ZookeeperRMC

DB Data 3DB Data 2DB Data 1

DB Data 3DB Data 2DB Data 1

DistributedDatabase

DB Data 3DB Data 2

DB Data 1

Selective Proactive Distribution

Compute Node 1

DragonflowLocal Cache

OVS

DB Data 1

Compute Node NDragonflow

OVS

Local Cache

DB Data 3DB Data 2

Dragonflow DB DriversRedis ETCD ZookeeperRMC

Selective Proactive Distribution

Compute Node 1

DragonflowLocal Cache

OVS

Net1 – VM1, VM2

Compute Node 2Dragonflow

OVS

Local CacheNet2 – VM3, VM4

VM1 VM2 VM3 VM4

Distributed DB

Net2 – VM3, VM4Net1 – VM1, VM2

Compute Node

DragonflowLocal Controller

SubscriberRedis ØMQ

Compute Node

DragonflowLocal Controller

SubscriberRedis ØMQ

Compute Node

DragonflowLocal Controller

SubscriberRedis ØMQ

Compute Node

DragonflowLocal Controller

SubscriberRedis ØMQ

Neutron ServerDragonflow

PluginPublisher

Redis ØMQ

Neutron ServerDragonflow

PluginPublisher

Redis ØMQ

Neutron ServerDragonflow

PluginPublisher

Redis ØMQ. . .

DB

. . .

Pluggable Pub/Sub

Example Distributed DHCP

Page 11

Network Node

DHCP namespace

DHCP namespace

DHCP namespace

DHCP namespace

Neutron DHCP Implementation

DHCP namespace

dnsmasq

DHCPAgent

Neutron Server

Message QueueExample• 100 Tenants• 3 vNet / tenant= 300 DHCP Servers

1 VM Send DHCP_DISCOVER

2 Classify Flow as DHCP, Forward to Controller

3 DHCP App sends DHCP_OFFER back to VM

4 VM Send DHCP_REQUEST

5 Classify Flow as DHCP, Forward to Controller

6 DHCP App populates DHCP_OPTIONS from DB/CFG and send DHCP_ACK

Dragonflow Distributed DHCP

DHCP DISCOVER

VM DHCP SERVER

DHCP OFFER DHCPREQUEST

DHCPACK

13

46

7

Compute Node

Dragonflow

VM

OVS

VM

1 2

br-intqvoXXX qvoXXX

OpenFlow

14

25

7

Dragonflow ControllerAbstraction Layer

L2App

L3App

DHCPApp SG

36

Pluggable DB Layer

DistributedDB

This haseverythingin it

Is Dragonflow Ready?AWCloud Point of View

Who is AWcloud?A pure OpenStack player in ChinaStarted in 2012Intel Capital-backed StartupBroad deployment of production clouds in ChinaLarge-scale infra operations backgroundHighly diverse set of workloads and use cases

Case Study: a typical large-scale deployment• A public cloud for local enterprises• Cooperated with Gaoxin Yiyun, Dell and Intel• Located in Guizhou Province

• The heart of big data industry in China• 2500+ Physical Servers deployed in the data center

• So far, 500+ physical servers have been virtualized by AWcloud OpenStack distribution.

Case Study: a typical large-scale deployment

Dispatch Network Policy to Compute NodesRequirements:

ScalabilityReliability

Currently, we use Neutron OVS plugin…but as workloads increase…

Limitations in Large-scale deployments- Messaging- Persistent HA DB to store network policy

Scale-OUT

Scalability in Persistent StorageRDBMS used in OpenStack

• The semantic is too strong for scale-out applications• Critical performance loss due to semantics

We Believe• Centralized clustering cannot practically scale-out in data center size

We Need• A distributed data storage system which is…

• Optimized for READ• Reached a CONSISTENT state for the whole system• Always HIGH AVAILABILITY• Able to work properly under network PARTITION

Necessary

Scalability in Persistent Storage

We prefer BASE systems for data backends• Basically Available• Soft-state• Eventual consistent

? Is there any open source solution that can meet our requirements?

Scalable Persistent Storage in Dragonflow

• A pluggable Key-Value Interface Layer• Supported Solutions

• ETCD• RAMCloud• ZooKeeper• Redis Is it enough?

Scalable and reliable?

DB Consistency: Common Problem to all SDN Solutions

SDN ControllerNorth-bound Interface (REST?)

South-bound Interface (Openflow)

SDN Apps

SDN DB

NeutronDB

Neutron-serverML2-Core-Plugin

ML2.Drivers.Mechanism.XXX

Services-PluginService

Network

Neutron API Nova API

CLI / Dashboard (Horizon) / Orchestration Tool (Heat)

Switch

Nova

Nova Compute

VM VM

Nova Compute

VM VM

Virtual Switch Virtual SwitchNeutron

Plugin AgentNeutron

Plugin Agent

Message Queue (AMQP)

Neutron-L3-Agent

Neutron-DHCP-Agent

Load

Bal

ance

r

Fire

wall

VPN

L3 S

ervic

es

Topo

logy

Mgr

.

Ove

rlay

Mgr

.

Secu

rity

Vendor-specific API

DB Consistency: Common Problem to all SDN Solutions

Neutron DB

Relational Database

ACID system

Stores the whole virtualized network topology for OpenStack

Dragonflow DB

Key-value Store

BASE system

Stores the ‘partial’ virtualized network topology used in Dragonflow

DB Consistency: Common Problem to all SDN Solution • Problem 1

• Neutron DB transaction is committed, but the related operations on Dragonflow DB have failed.

• Problem 2• Concurrent APIs cause multiple transactions on a given Neutron object. Neutron

DB can deal with it very well due to its ACID nature. How about Dragonflow DB?

• Problem 3• Nested transactions can be done in Neutron DB. How about Dragonflow DB?

• Problem N…

Some thoughts on DB Consistency• Remove Neutron DB

• Complicated Solution when involving ML2• Cannot be done in a short period of time

• Introduce the pluggable key-value store into Neutron• How to work with SQLAlchemy?• Need much more time on evaluation and deep

discussion.

• Any other simple and straightforward solutions?

DB Consistency in Dragonflow

• Introduce a distributed lock for coordination• Guarantee the atomicity of a given API• Implemented in the Neutron core plugin layer• Project-based lock allows concurrency

DragonflowNorth-bound Interface

South-bound Interface (Openflow)

SDN Apps

DF DB

NeutronDB

Neutron-serverCore Plugin

Dragonflow Neutron Plugin

Neutron API

CLI / Dashboard (Horizon) / Orchestration Tool (Heat)

Topo

logy

Mgr

.

Ove

rlay

Mgr

.

Secu

rity

Obtain distributed lock

Dragonflow NB API

DB Consistency in Dragonflow

• Introduce an object synchronization mechanism• All the objects stored in both databases are versioned.• Take advantage of CAS operations of the Dragonflow DB.• Sync the object when something unexpected happens.

SDN DBNeutronDB

Network_ID Name Status MTU VLAN Availability Zone Subnets

Object_ID = Network_ID Version = 5

Read

Notify

compare & swap <- VersionCompute Node Compute Node Compute Node

Dragonflow Local Controller

SubscribervSwitch Flush Flows

Roadmap

OpenStack Networking Challenges

• Scalability• Networking does not scale (<500 compute nodes)

• Performance• Networking performance is low (namespace overhead, huge

control plane overhead, …)• Operability

• Reference implementation has lots of maintenance problems (e.g. thousands of concurrent DHCP servers, namespaces, etc.)

Dragonflow ScalabilityScale(# Compute

Nodes)

today

10,000

2,500

Time to Market

n+2

1,000

Dragonflow& Redis

Dragonflow &RAMCloud &

ØMQOptimized Hybrid

(Reactive/Proactive)Dragonflow4,000

n+1soon

RoadmapAdditional DB Drivers ZooKeeper, Redis…Selective Proactive DB Pluggable Pub/Sub Mechanism DB Consistency Distributed DNATSecurity GroupHierarchical Port Binding (SDN ToR) move to ML2Containers (Kuryr plugin and nested VM support)Topology Service Injection / Service ChainingInter Cloud Connectivity (Border Gateway / L2GW)Optimize Scale and Performance

Rack

ToR

Overlay Virtual Topology

UnderlayHardware

DB

CoreRouterODL

NeutronServer ML2 Mechanism Drivers

ODLDragonflow

Hierarchical Network Management

Dragonflow and Containers

Network Services…

My Cloud

NATIPS

FW

DHCP

LBL3

L2 VPN

Topology Based Service InjectionCompute Node

OVS

VM 1 VM 2

Table 0 Table 1 Table N…

ExternalApp

External App

Table

OpenFlow / Other API

Service Injection Hooks

Newton Release New Applications IGMP Application Distributed Load Balancing (East/West) Brute Force prevention DNS service Distributed Metadata proxy Port Fault Detection

Ride the Dragon!

• Documentation • https://wiki.openstack.org/wiki/Dragonflow

• Bugs & blueprints • https://launchpad.net/dragonflow

• DF IRC channel • #openstack-dragonflow• Weekly on Monday at 0900 UTC in #openstack-meeting-4

(IRC)

Welcome to join discussion!

• Dragonflow Work Sessions• April 27th, 9:50am, Hilton Austin MR414 – Testing & CI• April 27th, 11:00am, Hilton Austin MR414 – DB Consistency• April 28th, 11:20am, Hilton Austin MR406 – Roadmap• April 28th, 1:30pm, Hilton Austin MR414 – PUB/SUB• April 28th, 2:20pm, Hilton Austin MR414 – ML2 & Topology

Injection