Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Voice over application-level multicast
AU - Blundell, N.
AU - Egi, N.
AU - Mathy, L.
PY - 2006
Y1 - 2006
N2 - In this paper, we present a thorough and realistic analysis of voice (i.e. audio conferencing) over application-level multicast (ALM). Through flexibility and ease-of-deployment, ALM is a compelling alternative group-communication technique to IP multicast-which has yet to see wide-scale deployment in the Internet. However, proposed ALM techniques suffer from inherent latency inefficiencies, which we show, through realistic simulation and exploration of perceived quality in multi-party conversation, to be greatly problematic for the realisation of truly-scalable audio-conferencing systems over ALM. By incorporating talkspurt data from a large and detailed corpus of multi-party conversation, and through using network-simulation techniques based on actual Internet latency measurements, we develop our previous work on the application-level network audio-conferencing (ALNAC) routing protocol into a thorough analysis of the problem, leading to a novel model for assessing the perceptual quality of multi-party conversation and to novel techniques for speaker prediction. We show that through adaptation to conversational patterns, the ALNAC protocol can achieve perceptual quality for large-scale audio conferencing that, with little cost to each end-system node, is comparable to IP multicast.
AB - In this paper, we present a thorough and realistic analysis of voice (i.e. audio conferencing) over application-level multicast (ALM). Through flexibility and ease-of-deployment, ALM is a compelling alternative group-communication technique to IP multicast-which has yet to see wide-scale deployment in the Internet. However, proposed ALM techniques suffer from inherent latency inefficiencies, which we show, through realistic simulation and exploration of perceived quality in multi-party conversation, to be greatly problematic for the realisation of truly-scalable audio-conferencing systems over ALM. By incorporating talkspurt data from a large and detailed corpus of multi-party conversation, and through using network-simulation techniques based on actual Internet latency measurements, we develop our previous work on the application-level network audio-conferencing (ALNAC) routing protocol into a thorough analysis of the problem, leading to a novel model for assessing the perceptual quality of multi-party conversation and to novel techniques for speaker prediction. We show that through adaptation to conversational patterns, the ALNAC protocol can achieve perceptual quality for large-scale audio conferencing that, with little cost to each end-system node, is comparable to IP multicast.
U2 - 10.1109/.2006.1629468
DO - 10.1109/.2006.1629468
M3 - Conference contribution/Paper
SN - 1-4244-0198-4
SP - 674
EP - 680
BT - Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,
PB - IEEE
ER -