TY - GEN
T1 - Cluster based approaches for end-to-end complete feedback collection in multicast
AU - Baysan, Mehmet
AU - Sarac, Kamil
PY - 2006
Y1 - 2006
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=33751054276&partnerID=8YFLogxK
U2 - 10.1109/.2006.1629387
DO - 10.1109/.2006.1629387
M3 - Conference contribution
AN - SCOPUS:33751054276
SN - 1424401976
SN - 9781424401970
T3 - Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference
SP - 31
EP - 38
BT - 25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006
T2 - 25th IEEE International Performance, Computing, and Communications Conference, 2006, IPCCC 2006
Y2 - 10 April 2006 through 12 April 2006
ER -