Cluster based approaches for end-to-end complete feedback collection in multicast

Mehmet Baysan; Kamil Sarac

doi:10.1109/.2006.1629387

Cluster based approaches for end-to-end complete feedback collection in multicast

Mehmet Baysan^*, Kamil Sarac

^*Corresponding author for this work

Univ. Texas at Dallas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Study the end-to-end complete feedback ECFC) problem in large scale multicast. We consider the case where each to send feedback in a timely manner causing implosion at the source site. To scalability problem and improve timely we introduce the use of clustering feedback collection. Our simulation show that the clustering based approaches outperform the existing pure (without clustering) probabilistic and pure (without clustering) feedback collection approaches both in delay and message overhead.

Original language	English
Title of host publication	25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006
Pages	31-38
Number of pages	8
DOIs	https://doi.org/10.1109/.2006.1629387
Publication status	Published - 2006
Externally published	Yes
Event	25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006 - Phoenix, AZ, United States Duration: 10 Apr 2006 → 12 Apr 2006

Publication series

Name	Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference
Volume	2006

Conference

Conference	25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006
Country/Territory	United States
City	Phoenix, AZ
Period	10/04/06 → 12/04/06

Access to Document

10.1109/.2006.1629387

Cite this

Baysan, M., & Sarac, K. (2006). Cluster based approaches for end-to-end complete feedback collection in multicast. In 25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006 (pp. 31-38). Article 1629387 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference; Vol. 2006). https://doi.org/10.1109/.2006.1629387

@inproceedings{9274be2ecd27487990299e27991d29fc,

title = "Cluster based approaches for end-to-end complete feedback collection in multicast",

abstract = "Study the end-to-end complete feedback ECFC) problem in large scale multicast. We consider the case where each to send feedback in a timely manner causing implosion at the source site. To scalability problem and improve timely we introduce the use of clustering feedback collection. Our simulation show that the clustering based approaches outperform the existing pure (without clustering) probabilistic and pure (without clustering) feedback collection approaches both in delay and message overhead.",

author = "Mehmet Baysan and Kamil Sarac",

year = "2006",

doi = "10.1109/.2006.1629387",

language = "English",

isbn = "1424401976",

series = "Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference",

pages = "31--38",

booktitle = "25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006",

note = "25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006 ; Conference date: 10-04-2006 Through 12-04-2006",

}

Baysan, M & Sarac, K 2006, Cluster based approaches for end-to-end complete feedback collection in multicast. in 25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006., 1629387, Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, vol. 2006, pp. 31-38, 25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006, Phoenix, AZ, United States, 10/04/06. https://doi.org/10.1109/.2006.1629387

Cluster based approaches for end-to-end complete feedback collection in multicast. / Baysan, Mehmet; Sarac, Kamil.
25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006. 2006. p. 31-38 1629387 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Study the end-to-end complete feedback ECFC) problem in large scale multicast. We consider the case where each to send feedback in a timely manner causing implosion at the source site. To scalability problem and improve timely we introduce the use of clustering feedback collection. Our simulation show that the clustering based approaches outperform the existing pure (without clustering) probabilistic and pure (without clustering) feedback collection approaches both in delay and message overhead.

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Cluster based approaches for end-to-end complete feedback collection in multicast

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