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Jennifer Rexford Princeton Jennifer Rexford Princeton

Jennifer Rexford Princeton - PowerPoint Presentation

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Jennifer Rexford Princeton - PPT Presentation

University MW 1100am1220pm ControlPlane Scalability COS 597E Software Defined Networking Controller Scalability Challenges Number of switches Number of control sessions Frequency of events ID: 778385

flow controller multiple scalability controller flow scalability multiple threaded control shortest distributed topology learning single machine techniques events handling

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Presentation Transcript

Slide1

Jennifer RexfordPrinceton UniversityMW 11:00am-12:20pm

Control-Plane Scalability

COS 597E: Software Defined Networking

Slide2

Controller Scalability ChallengesNumber of switchesNumber of control sessions

Frequency of events

Size of topology state

Performance metricsThroughput: flow rules installed per secondLatency: delay to handle a packet-in

2

Slide3

NOX ControllerNOX controller

Single-threaded,

unoptimized

C++ controller30K flow initiations per secondSub-10ms flow install timeNOX-MTMulti-threaded, better I/O handling, optimized

malloc

() implementation, …

On an 8-core machine, 1.6M request/sec and average response time of 2 msec

3

Slide4

Distributed ControllersBetter scalability

Smaller topology

Fewer events

Fewer flow installationsBetter performanceCloser to the switchesLower control-plane latencyBetter reliability

Failover to a backup controller

4

Slide5

Controller ConfigurationsHierarchical

Global controller, with multiple local controllers

Peers

Each handling different portions of the topology, flow space, slice, or applicationsReplicasMaster, with multiple slavesMultiple active replicas

5

Slide6

Working with Multiple ControllersLocal scopeMAC learning

Elephant flow detection

Aggregate/threshold traffic statistics

Network-wide scopeComputing shortest pathsSelecting links to shut down to save energyUser mobility and virtual machine migration

6

Slide7

Discussion QuestionsDoes the programmer know there is a multi-threaded/distributed controller?

Automated partitioning? Language constructs?

Does the application have to behave exactly the same as on a single controller?

Approximate shortest paths?Do the techniques for scalability interact with the techniques for fault tolerance?Shared reliable distributed data store?

Any useful changes to

OpenFlow

protocol?

7

Slide8

Going Through Some ExamplesMAC learning

Histogram by source IP address

Stateful

firewallShortest-path routingMAC learning at edge, shortest-path in coreTraffic engineeringConsistent updates

Hedera

(elephant flow routing)

8