1. FIRE FORUM 2015
Eduard Grasa, ARCFIRE
eduard.grasa@i2cat.net
Large-scale RINA benchmark on FIRE+
ARCFIRE
Brussels, December 2015

2. WHAT IS RINA?
2
1

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

4. WHAT WILL ARCFIRE DO?
4
2

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