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Experimenting with real application‐specific QoS
guarantees in a large‐scale RINA demonstrator
Jordi Perelló, Davide Careglio, Albert López
Department of Computer Architecture (DAC) 
Universitat Politècnica de Catalunya (UPC) ‐ BarcelonaTech
RINA 2019 Workshop, co‐located with the ICIN 2019 Conference
February 18, 2019 – Paris (France)
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         2
Table of contents
• RINA & QTA‐Mux
• Objectives of this work
• Experiment description
• Obtained results
• Conclusions
This work reports the main outcomes of the medium experiment ERASER, 
funded in the 3rd Open Call of the Fed4FIRE+ Project (March‐September 2018)
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         3
RINA & QTA‐Mux
• Clean‐slate network architecture for the Future Internet, based on a 
single type of layer called DIF (i.e., Distributed IPC Facility)
• Multiple DIF instances are always stacked one on top of another, each 
one providing Inter‐Process Communication (IPC) services to the DIFs or 
applications above
• DIFs implement the same two protocols,                                           
customizable via programmable policies
• The QTA‐Mux policy is the responsible for                                            
the RINA QoS support
• However, its performance has been only                                               
evaluated on single isolated DIF scenarios 
so far 
Host2Host1 Router
DIF‐3
DIF‐1 DIF‐2
App 
B
App 
A
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         4
Objectives of this work
1. To define QTA‐Mux deployment scenarios and QoS Cubes to be 
enforced in a large‐scale Metro‐Regional RINA network scenario with 
multiple DIFs stacked one on top of another
2. To emulate a realistic large‐scale RINA network scenario by injecting 
synthetic traffic flows reproducing heterogeneous applications
3. To evaluate the RINA QoS support by measuring the QoS metrics 
perceived by such injected synthetic traffic flows end‐to‐end
4. To perform a real HD video (1080p) streaming demo to better show 
the RINA QoS support under high congestion
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         5
Experiment description (1/3)
• To conduct the experimentation activities, a 37‐Node Metro‐Regional RINA 
network has been setup in the Virtual Wall experimentation facility:
37 Physical machines requested, where a 
Linux (Ubuntu 14.04) image with the IRATI 
RINA Stack has been installed
‐ 9 Interior Routers (IRs)
‐ 8 Provider Edge (PE) routers
‐ 15 Home Routers (HRs)
‐ 1 Data Center Border Router (BR)
‐ 1 Video Server (S1)
‐ 3 Video Client (C) nodes 
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         6
Experiment description (2/3)
• Configuration of DIFs in the evaluation scenario (using Rumba):
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         7
Experiment description (3/3)
• Two different QTA‐Mux deployment scenarios have been evaluated:
 At both SPN and MR DIFs
 Only at the SPN DIF
• Offered QoS Cubes at SPN and MR DIFs (when QTA‐Mux configured) and 
synthetic traffic flow characteristics:
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         8
Obtained results:                                   
QTA‐Mux at both SPN and MR DIFs 
• 75 bidirectional synthetic traffic flows injected into the SPN DIF (15 of 
each type); NIC capacities between IRs limited to reproduce 80% and 90% 
offered load scenarios
• Adequate QoS differentiation, even under high congestion:
100% in   
< 5ms
Perceived QoS metrics (90% load)
100% in   
< 1000ms
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         9
Obtained results:                                   
QTA‐Mux at the SPN DIF Only
• 75 bidirectional synthetic traffic flows injected into the SPN DIF (15 of 
each type); NIC capacities between IRs limited to reproduce 80% and 90% 
offered load scenarios
• QoS differentiation lost at the MR DIF (default FIFO scheduling):
All CDFs overlap         
=> identical packet 
treatment
Perceived QoS metrics (90% load)
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         10
HD video streaming demo (1/2)
• QTA‐Mux configured at both SPN and MR DIFs
• 75 bidirectional synthetic traffic flows injected into the SPN DIF; NIC 
capacities between IRs limited to reproduce 80% and 90% load scenarios
• HD video streaming sessions (1080p video file) started from the video 
server to the 3 client nodes over the HD Video Streaming Application DIF
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         11
HD video streaming demo (2/2)
• Different experiments conducted, assigning the HD video streaming flows 
either the Gold or BE QoS Cube:
Perceived QoE (80% load) from 1 (worst) to 5 (best)
Perceived QoE (90% load) from 1 (worst) to 5 (best)
J. Perelló, A. López, D. Careglio, “Experimenting with Real Application‐specific QoS Guarantees in a Large‐scale RINA Demonstrator”         12
Conclusions
• A 37‐Node metro‐regional RINA network has been successfully emulated in 
the Virtual Wall experimentation facility
• With an appropriate QTA‐Mux configuration, RINA can deliver effective QoS
support to heterogeneous applications 
• Further corroborated by performing a HD video streaming demo over RINA, 
experiencing perfect QoE in almost all cases when assigning to HD video 
streaming flows the Gold QoS Cube
Thank you for your attention!
Questions?
Open Research Data in:
http://doi.org/10.5281/zenodo.1420391

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