Probabilistic Multicast Trees

Delivery of the same data content to many clients simultaneously over the Internet continues to be a challenging problem. Multicasting using a single tree structure for data distribution has been shown to be an effective methodology for distribution of data. Using the tree structure to distribute da...

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Detalles Bibliográficos
Autores principales: Wolff, Francis G., McIntyre, David R., Johnston, David A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2012
Materias:
Informática
multicast
distribution
Trees
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9709
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-3.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9709
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
multicast
distribution
Trees
spellingShingle Informática
multicast
distribution
Trees
Wolff, Francis G.
McIntyre, David R.
Johnston, David A.
Probabilistic Multicast Trees
topic_facet Informática
multicast
distribution
Trees
description Delivery of the same data content to many clients simultaneously over the Internet continues to be a challenging problem. Multicasting using a single tree structure for data distribution has been shown to be an effective methodology for distribution of data. Using the tree structure to distribute data relieves the source node from the burden of trying to unicast to each client and is efficient because the data delivery burden is distributed over all the participating client nodes. Using multiple tree multicasting further distributes the transmission burden over more participating client nodes and it improves the efficiency of the data distribution. Multiple multicast trees can also be used to manage dynamic behavior of the underlying network. We introduce a methodology which improves data delivery latency and efficiency upon current multiple tree multicast methods. This methodology incorporates a feedback mechanism, randomness and a weighted tree selection mechanism to determine the most efficient multicast tree for multicasting
format Articulo
Articulo
author Wolff, Francis G.
McIntyre, David R.
Johnston, David A.
author_facet Wolff, Francis G.
McIntyre, David R.
Johnston, David A.
author_sort Wolff, Francis G.
title Probabilistic Multicast Trees
title_short Probabilistic Multicast Trees
title_full Probabilistic Multicast Trees
title_fullStr Probabilistic Multicast Trees
title_full_unstemmed Probabilistic Multicast Trees
title_sort probabilistic multicast trees
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/9709
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-3.pdf
work_keys_str_mv AT wolfffrancisg probabilisticmulticasttrees
AT mcintyredavidr probabilisticmulticasttrees
AT johnstondavida probabilisticmulticasttrees
bdutipo_str Repositorios
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