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Voice over application-level multicast

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Voice over application-level multicast. / Blundell, N.; Egi, N.; Mathy, L.

Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,. IEEE, 2006. p. 674-680.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Blundell, N, Egi, N & Mathy, L 2006, Voice over application-level multicast. in Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,. IEEE, pp. 674-680. https://doi.org/10.1109/.2006.1629468

APA

Blundell, N., Egi, N., & Mathy, L. (2006). Voice over application-level multicast. In Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006, (pp. 674-680). IEEE. https://doi.org/10.1109/.2006.1629468

Vancouver

Blundell N, Egi N, Mathy L. Voice over application-level multicast. In Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,. IEEE. 2006. p. 674-680 https://doi.org/10.1109/.2006.1629468

Author

Blundell, N. ; Egi, N. ; Mathy, L. / Voice over application-level multicast. Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,. IEEE, 2006. pp. 674-680

Bibtex

@inproceedings{e5e0fbcf6a4a4cd081d098989cf0fac3,
title = "Voice over application-level multicast",
abstract = "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.",
author = "N. Blundell and N. Egi and L. Mathy",
year = "2006",
doi = "10.1109/.2006.1629468",
language = "English",
isbn = "1-4244-0198-4",
pages = "674--680",
booktitle = "Proceedings of the 25th IEEE International Performance Computing and Communications Conference, IPCCC 2006,",
publisher = "IEEE",

}

RIS

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 -