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FIRE FORUM 2015
Eduard Grasa, ARCFIRE
eduard.grasa@i2cat.net
Large-scale RINA benchmark on FIRE+
ARCFIRE
Brussels, December 2015
WHAT IS RINA?
2
1
Recursive InterNetwork Architecture
Single type of layer, consistent API, programmable policies
3
Host
Border router Interior Router
DIF
DIF DIF
Border router
DIF
DIF
DIF
Host
App
A
App
B
Consistent
API through
layers
App A
Layer (DIF) API
IPC
Process
1. Register/Unregister App
2. Allocate/Deallocate flows
3. Write data (SDUs) to flows
4. Read data (SDUs) from flows
5. Get layer information
WHAT WILL ARCFIRE DO?
4
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
HOW WILL ARCFIRE DO IT?
6
3
FP7 IRATI project
G3+ OC winner IRINA
FP7 PRISTINE project
Open IRATI
New & enhanced
RINA specs
Network Manager
RINA stack
Traffic gen.
tools
RINA specs
Mature stack
Policies
Measuremt. fw
Federated
Future Internet
experimental
facilities
Procedures
and tools
for large-
scale RINA
experiments
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

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Arcfire fire forum 2015

  • 1. FIRE FORUM 2015 Eduard Grasa, ARCFIRE eduard.grasa@i2cat.net Large-scale RINA benchmark on FIRE+ ARCFIRE Brussels, December 2015
  • 3. Recursive InterNetwork Architecture Single type of layer, consistent API, programmable policies 3 Host Border router Interior Router DIF DIF DIF Border router DIF DIF DIF Host App A App B Consistent API through layers App A Layer (DIF) API IPC Process 1. Register/Unregister App 2. Allocate/Deallocate flows 3. Write data (SDUs) to flows 4. Read data (SDUs) from flows 5. Get layer information
  • 5. 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? 6 3
  • 7. FP7 IRATI project G3+ OC winner IRINA FP7 PRISTINE project Open IRATI New & enhanced RINA specs Network Manager RINA stack Traffic gen. tools RINA specs Mature stack Policies Measuremt. fw Federated Future Internet experimental facilities Procedures and tools for large- scale RINA experiments 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