TY - GEN
T1 - Network performance assessment with Quality of experience benchmarks
AU - Mocanu, Decebal Constantin
AU - Santandrea, Giuliano
AU - Cerroni, Walter
AU - Callegati, Franco
AU - Liotta, Antonio
PY - 2014/1/16
Y1 - 2014/1/16
N2 - Today the performance of network services and devices is mainly assessed using Quality of Services (QoS) factors. These provide statistics about the quality of the network behavior but cannot accurately reflect how the unpredictable impairments which might occur in the network end up affecting the perception of the final beneficiary of these services, i.e. the user. This situation arises because QoS-based performance analysis does not capture the combined end-to-end properties of networks and applications. In this paper, we introduce a new network performance methodology based on Quality of Experience benchmarks, whereby we estimate the quality of the service as it is perceived by the user. We illustrate this approach in the context of video streaming services, showing how to evaluate quality degradation in Software Defined Networks. Our approach is better suited to the evaluation of dynamic networks and helps better pinpointing the critical factors that affect the applications the most.
AB - Today the performance of network services and devices is mainly assessed using Quality of Services (QoS) factors. These provide statistics about the quality of the network behavior but cannot accurately reflect how the unpredictable impairments which might occur in the network end up affecting the perception of the final beneficiary of these services, i.e. the user. This situation arises because QoS-based performance analysis does not capture the combined end-to-end properties of networks and applications. In this paper, we introduce a new network performance methodology based on Quality of Experience benchmarks, whereby we estimate the quality of the service as it is perceived by the user. We illustrate this approach in the context of video streaming services, showing how to evaluate quality degradation in Software Defined Networks. Our approach is better suited to the evaluation of dynamic networks and helps better pinpointing the critical factors that affect the applications the most.
UR - http://www.scopus.com/inward/record.url?scp=84922827853&partnerID=8YFLogxK
U2 - 10.1109/CNSM.2014.7014187
DO - 10.1109/CNSM.2014.7014187
M3 - Conference contribution
AN - SCOPUS:84922827853
SN - 978-3-901882-66-1
T3 - International Conference on Network and Service Management (CNSM)
SP - 332
EP - 335
BT - Proceedings of the 10th International Conference on Network and Service Management, CNSM 2014
A2 - Madeira, Edmundo Roberto Mauro
A2 - Granville, Lisandro Zambenedetti
A2 - Gaspary, Luciano Paschoal
A2 - Raz, Danny
A2 - Nogueira, Michele
A2 - Jennings, Brendan
PB - IEEE
CY - Piscataway, NJ
ER -