FIRE FORUM 2015

Eduard Grasa, ARCFIRE

eduard.grasa@i2cat.net

Large-scale RINA benchmark on FIRE+

ARCFIRE

Brussels, December 2015

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WHAT IS RINA?1

Recursive InterNetwork ArchitectureSingle type of layer, consistent API, programmable policies

3

Host

Border router Interior Router

DIF

DIF DIF

Border router

DIFDIF

DIF

Host

App A

App B

Consistent API through

layers

App A

Layer (DIF) API

IPCProcess

1. Register/Unregister App2. Allocate/Deallocate flows3. Write data (SDUs) to flows

4. Read data (SDUs) from flows5. Get layer information

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WHAT WILL ARCFIRE DO?2

Demonstrate the real benefits of the RINA technology at scale,

leveraging the FIRE+ experimental infrastructure,

making compelling business cases that motivate for its deployment and adoption 5

100+ nodes 10s - 100s of DIFs 1 week long exp.

DDoS attacks Multi-layer Mgmt Heterogen. access Polyservice networks

Experimental facilities RINA tooling for FIRE+ Procedures for RINA exp.

Converged operators Application developers End Users

6

HOW WILL ARCFIRE DO IT?3

FP7 IRATI project

G3+ OC winner IRINA

FP7 PRISTINE project

Open IRATI

New & enhanced RINA specs

Network Manager

RINA stackTraffic gen.

tools

RINA specs

Mature stackPolicies

Measuremt. fw

FederatedFuture Internet experimental

facilities

Procedures and tools for large-

scale RINAexperiments

Design of converged

operator networks with RINA (WP2) Large-scale

experimentation with IRATI RINA

implementation on FIRE (WP4)RINA software

suite adaptation, enhancement and

robustification (WP3)

ARCFIRE

Experimentally verified and

quantified RINA benefits

Converged operator network SoTA